Allele Frequencies in World Populations

HLA » Allele Frequency Search

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Line Allele Population % of individuals
that have the allele
Allele
Frequency
Sample
Size
Location
1A*01Albania0.100016041_0_N_20_0_E
2A*01Albania pop 218.30.097243241_9_N_20_10_E
3A*01Albanian Kosovo0.154212041_50_N_20_1_E
4A*01Algeria pop 223.010636_42_N_3_13_E
5A*01Argentina Buenos Aires23.20.119046634_38_S_58_28_W
6A*01Argentina Buenos Aires pop 219.30.10101,21634_36_S_58_22_W
7A*01Argentina Chiriguano3.80.01905423_8_S_64_20_W
8A*01Argentina Corrientes14.80.084015527_30_S_58_49_W
9A*01Argentina Cuyo Region17.10.089042032_53_S_68_49_W
10A*01Argentina La Plata22.00.115010034_55_S_57_57_W
11A*01Argentina Rosario Toba16.30.08108632_57_S_60_39_W
12A*01Argentina Salta Wichi pop 20.00.00001923_8_S_64_20_W
13A*01Armenia Ghegharkunik0.118024240_11_N_44_31_E
14A*01Armenia living in Iran0.14708540_11_N_44_31_E
15A*01Armenia living in Karabakh0.116044540_11_N_44_31_E
16A*01Armenia living in Lebanon0.113036840_11_N_44_31_E
17A*01Armenia living in USA0.129023340_11_N_44_31_E
18A*01Armenia Lori0.127010240_11_N_44_31_E
19A*01Armenia Shirak0.11207640_11_N_44_31_E
20A*01Armenia Syunik0.124011740_11_N_44_31_E
21A*01Armenia Yerevan0.107044540_11_N_44_31_E
22A*01Australia West Caucasian33.60.185089131_5_S_115_5_E
23A*01Austria27.00.145020048_13_N_16_21_E
24A*01Austria Cord Bloods0.13501,36847_4_N_15_26_E
25A*01Azores0.11601,05037_44_N_25_40_W
26A*01Azores Terceira Island0.109013038_44_N_27_19_W
27A*01Bangladesh Dhaka Bangalee0.095014123_42_N_90_22_E
28A*01Bolivia La Paz Aymaras0.01108716_29_S_68_7_W
29A*01Bolivia Quechua0.04356916_30_S_68_9_W
30A*01Bosnia and Herzegovina0.134313443_52_N_18_25_E
31A*01Bosnia and Herzegovina pop 229.20.145812044_32_N_18_41_E
32A*01Brazil Paraná Caucasian19.00.095964123_25_S_51_55_W
33A*01Brazil Curitiba-Parana Mixed0.112726425_25_S_49_16_W
34A*01Brazil Minas Gerais State Mixed15.30.08101,00019_49_S_43_57_W
35A*01Brazil Para Cord Blood Unit10.60.05478416_0_S_52_0_W
36A*01Brazil Para State15.10.06725,0006_0_S_52_0_W
37A*01Brazil Parana Afro Brazilian24.70.12307725_0_S_49_0_W
38A*01Brazil Parana Cafuzo18.50.092031925_0_S_49_0_W
39A*01Brazil Parana Caucasian19.70.09902,77525_0_S_49_0_W
40A*01Brazil Parana Japanese3.00.015619222_29_S_48_2_W
41A*01Brazil Parana Mixed race10.20.051018625_0_S_49_0_W
42A*01Brazil Parana Oriental0.00.00003325_0_S_49_0_W
43A*01Brazil Pernambuco Mixed0.08401018_3_S_34_54_W
44A*01Brazil Piaui Mixed0.071021,9432_44_S_40_25_W
45A*01Brazil REDOME Acre0.08508599_11_S_70_52_W
46A*01Brazil REDOME Alagoas0.087225,3499_57_S_36_55_W
47A*01Brazil REDOME Amapa0.059917,8641_0_N_52_0_W
48A*01Brazil REDOME Amazonas0.065924,1295_0_S_63_0_W
49A*01Brazil REDOME Bahia0.074647,39912_31_S_41_41_W
50A*01Brazil REDOME Ceara0.0835101,2175_5_S_39_39_W
51A*01Brazil REDOME Espirito Santo0.089788,48520_19_S_40_20_W
52A*01Brazil REDOME Federal District0.088529,54915_46_S_47_56_W
53A*01Brazil REDOME Goias0.092788,57415_56_S_50_8_W
54A*01Brazil REDOME Maranhao0.079810,1802_31_S_44_18_W
55A*01Brazil REDOME Mato Grosso0.090734,64915_35_S_56_4_W
56A*01Brazil REDOME Mato Grosso do Sul0.088295,66720_26_S_54_38_W
57A*01Brazil REDOME Minas Gerais0.0900211,27519_49_S_43_57_W
58A*01Brazil REDOME Para0.063872,6375_40_S_52_44_W
59A*01Brazil REDOME Paraiba0.086243,8687_10_S_36_50_W
60A*01Brazil REDOME Parana0.0998341,63924_0_S_51_0_W
61A*01Brazil REDOME Pernambuco0.081092,3328_20_S_48_48_W
62A*01Brazil REDOME Piaui0.072146,1408_14_S_43_6_W
63A*01Brazil REDOME Rio de Janeiro0.0857139,32222_54_S_43_11_W
64A*01Brazil REDOME Rio Grande do Norte0.087346,6035_44_S_36_33_W
65A*01Brazil REDOME Rio Grande do Sul0.1083241,32930_0_S_53_0_W
66A*01Brazil REDOME Rondonia0.088154,39610_54_S_62_46_W
67A*01Brazil REDOME Roraima0.06754,1402_3_N_61_24_W
68A*01Brazil REDOME Santa Catarina0.1110106,67327_15_S_50_20_W
69A*01Brazil REDOME Sao Paulo0.0942800,80923_33_S_46_38_W
70A*01Brazil REDOME Sergipe0.08127,32110_35_S_37_23_W
71A*01Brazil REDOME Tocantins0.079320,69210_11_S_48_20_W
72A*01Brazil Rio Grande do Norte Mestizo0.087012,9735_47_S_35_12_W
73A*01Brazil Rio Grande do Sul Black0.042024830_0_S_53_0_W
74A*01Brazil Rio Grande do Sul Caucasoid0.10504,42830_0_S_53_0_W
75A*01Brazil Rio Grande do Sul Mixed0.087032430_0_S_53_0_W
76A*01Brazil Sao Paulo Bauru Mixed0.08803,54222_18_S_49_3_W
77A*01Brazil Sao Paulo Mixed13.00.067023923_0_S_48_0_W
78A*01Brazil South East Cord Blood0.088111,40914_14_S_51_55_W
79A*01Brazil South Ribeirao Preto0.093018421_11_S_47_49_W
80A*01Burkina Faso Fulani0.13304912_50_N_1_50_W
81A*01Burkina Faso Mossi0.04705312_50_N_1_50_W
82A*01Burkina Faso Rimaibe0.03204712_50_N_1_50_W
83A*01Cameroon Bakola Pygmy6.0504_3_N_9_42_E
84A*01Cameroon Bamileke 20.0000355_15_N_10_20_E
85A*01Cameroon Ewondo0.0260383_55_N_11_24_E
86A*01Cameroon Podokwo0.01204310_37_N_14_20_E
87A*01Cameroon Uldeme0.01403510_37_N_14_20_E
88A*01Chile Santiago0.102792033_26_S_70_40_W
89A*01China Guangdong Province2.740323_20_N_113_30_E
90A*01China Harbin Korean0.015020145_45_N_126_38_E
91A*01China Harbin Manchu0.045017245_45_N_126_38_E
92A*01China Jiangsu Province0.031020,24833_0_N_120_0_E
93A*01China North Han0.000010539_54_N_116_24_E
94A*01China Shaanxi Province Han0.045010,00034_0_N_109_0_E
95A*01China Shandong Province8.10.04107,41836_30_N_118_0_E
96A*01China Shandong Province Linqu County2.213936_0_N_118_0_E
97A*01China Shanghai0.024026,26631_12_N_121_30_E
98A*01China Wuhan3.30.017012130_45_N_114_15_E
99A*01Colombia Barranquilla0.048018810_57_N_74_47_W
100A*01Colombia San Basilio de Palenque0.06004210_6_N_75_11_W
101A*01Croatia pop 20.157010045_0_N_15_0_E
102A*01Croatia pop 326.70.133312045_6_N_15_12_E
103A*01Cuba Mixed0.08007823_8_N_82_23_W
104A*01Cuba Mixed pop 20.067018923_8_N_82_23_W
105A*01Cuba Mixed Race14.30.07104223_8_N_82_22_W
106A*01Czech Republic Kurd29.70.16227449_44_N_15_19_E
107A*01Czech Republic Romani pop 241.30.21744649_44_N_15_19_E
108A*01Ecuador Amazonia Mixed Ancestry0.0128390_48_S_76_54_W
109A*01Ecuador Andes Mixed Ancestry0.04138241_28_S_78_49_W
110A*01Ecuador Coast Mixed Ancestry0.04202382_11_S_79_53_W
111A*01Ecuador Mixed Ancestry0.03841,1730_10_S_78_28_W
112A*01England Lancaster38.354554_2_N_2_48_W
113A*01England Leeds34.55,02453_47_N_1_32_W
114A*01England Liverpool35.11,34353_24_N_3_0_W
115A*01England London Ashkenazi Jews0.126050051_30_N_0_7_W
116A*01England Manchester34.31,64053_28_N_2_14_W
117A*01England Newcastle34.82,73954_58_N_1_36_W
118A*01England North West Mixed pop 233.50.167637953_28_N_2_14_W
119A*01England Sheffield35.54,75553_23_N_1_28_W
120A*01France Bordeaux24.30.121999044_50_N_0_34_W
121A*01France Corsica Island0.065010042_9_N_9_5_E
122A*01France Grenoble25.90.12981,00045_12_N_5_43_E
123A*01France Grenoble, Nantes and Rennes0.13206,09447_13_N_1_33_W
124A*01France Lyon25.30.12644,81345_45_N_4_50_E
125A*01France Marseille24.70.12351,00043_17_N_5_22_E
126A*01France Reims0.157010249_15_N_4_2_E
127A*01France Rennes pop 30.160020048_6_N_1_40_W
128A*01France Rennes pop 425.20.12661,00048_6_N_1_40_W
129A*01France Southeast27.70.150013046_0_N_5_0_E
130A*01Gaza Palestinians0.124016531_31_N_34_27_E
131A*01Georgia Kurds0.08603041_43_N_44_47_E
132A*01Germany27.711,40750_6_N_8_40_E
133A*01Germany Essen25.90.144017451_27_N_7_0_E
134A*01Ghana Accre Asutuare Akan0.02604296_5_N_0_12_E
135A*01Greece Crete0.120013535_0_N_25_0_E
136A*01Greece North0.100050040_0_N_22_0_E
137A*01Greece pop 70.104911,25037_58_N_23_43_E
138A*01Greece pop317.524637_58_N_23_43_E
139A*01Guatemala Mayan0.022013214_8_N_91_5_W
140A*01Guatemala, Guatemala City Mixed Ancestry16.50.082712714_37_N_90_31_W
141A*01India Bikaner Non-Raikas20.412728_1_N_73_18_E
142A*01India Bikaner Raikas15.114328_1_N_73_18_E
143A*01India Jalpaiguri Toto5.04026_30_N_88_42_E
144A*01India Kerala Hindu Ezhava0.1040248_48_N_76_36_E
145A*01India Kerala Hindu Nair0.0850418_48_N_76_36_E
146A*01India Kerala Hindu Namboothiri0.06304011_14_N_75_44_E
147A*01India Kerala Hindu Pulaya0.00001611_48_N_75_19_E
148A*01India Kerala Malabar Muslim0.05903411_2_N_76_3_E
149A*01India Kerala Syrian Christian0.0480319_35_N_76_31_E
150A*01India North Gujarat35.50.192333823_13_N_72_41_E
151A*01India North pop 30.086058728_38_N_77_9_E
152A*01India sub-Himalayan West Bengal Kami5.10.025315827_2_N_88_15_E
153A*01Iran pop 10.12506432_35_N_54_16_E
154A*01Iran pop 40.108885535_41_N_51_38_E
155A*01Iran Royan Cord Blood Bank21.915,60035_41_N_51_25_E
156A*01Iraq Arabs22.10.110714933_18_N_44_21_E
157A*01Iraq Erbil21.80.109037233_33_N_43_43_E
158A*01Iraq Kurdistan Region23.90.132020936_51_N_43_0_E
159A*01Ireland South pop 20.235917,62453_20_N_6_15_W
160A*01Israel Ashkenazi Jews pop 20.158013231_47_N_35_13_E
161A*01Israel Jews pop 228.00.152023,00032_5_N_34_48_E
162A*01Israel Moroccan Jews0.259011331_47_N_35_13_E
163A*01Italy0.1210159,31145_28_N_9_11_E
164A*01Italy Bergamo14.90.075010145_42_N_9_40_E
165A*01Italy East Sicily18.00.11005037_30_N_15_4_E
166A*01Italy Lombardy22.10.117067445_11_N_9_9_E
167A*01Italy North Pavia0.08008145_11_N_9_9_E
168A*01Italy North Pavia pop 221.10.11202,41645_11_N_9_9_E
169A*01Italy North Pavia pop 30.113668545_11_N_9_9_E
170A*01Italy pop 623.90.122318441_53_N_12_29_E
171A*01Italy Rome24.00.120010041_54_N_12_27_E
172A*01Italy Sardinia pop30.045010039_14_N_9_3_E
173A*01Italy South Campania Region18.41,08940_50_N_14_15_E
174A*01Japan Aichi4.40.02205035_11_N_136_54_E
175A*01Japan Hyogo6.30.03303234_0_N_135_0_E
176A*01Japan Hyogo Osaka and Nagano0.010019534_41_N_135_30_E
177A*01Japan Kyoto and Osaka0.009016535_1_N_135_46_E
178A*01Japan pop 111.66235_41_N_139_46_E
179A*01Japan pop 20.004091635_41_N_139_46_E
180A*01Jordan0.150015,14131_57_N_35_56_E
181A*01Macedonia0.125928641_32_N_21_42_E
182A*01Macedonia MBMDR - Albanian25.80.136712841_46_N_22_19_E
183A*01Macedonia MBMDR - Macedonian24.40.13211,28341_46_N_22_19_E
184A*01Macedonia MBMDR - Macedonian Muslims25.00.12507641_46_N_22_19_E
185A*01Macedonia pop 30.137017242_0_N_22_0_E
186A*01Macedonia pop 40.113021642_0_N_21_0_E
187A*01Madeira pop 20.089017332_44_N_16_58_W
188A*01Madeira pop 30.106053832_44_N_16_58_W
189A*01Malaysia Negeri Sembilan Minangkabau0.0300342_43_N_101_57_E
190A*01Malaysia Perak and Johor Banjar Bugis Jawa0.0210944_24_N_101_5_E
191A*01Malaysia Perak Rawa0.0000231_29_N_103_45_E
192A*01Malaysia pop 20.0120623_8_N_101_42_E
193A*01Malaysia pop 30.02101,4453_8_N_101_42_E
194A*01Malaysia Sarawak Iban0.0100512_18_N_111_49_E
195A*01Martinique0.070010014_40_N_61_0_W
196A*01Mexico Aguascalientes state0.08959522_1_N_102_21_W
197A*01Mexico Baja Californa, Mexicali0.065010032_37_N_115_27_W
198A*01Mexico Baja California Rural0.07005027_31_N_113_40_W
199A*01Mexico Baja California, La Paz0.06677524_8_N_110_18_W
200A*01Mexico Baja California, Tijuana0.08002532_30_N_117_2_W
201A*01Mexico Campeche Rural0.02134718_6_N_89_48_W
202A*01Mexico Campeche, Campeche city0.17653419_49_N_90_32_W
203A*01Mexico Chiapas Rural0.024812116_47_N_92_41_W
204A*01Mexico Chiapas, Tuxtla Gutierrez0.05665216_45_N_93_6_W
205A*01Mexico Chihuahua Chihuahua City0.029411928_37_N_106_4_W
206A*01Mexico Chihuahua Rural0.058623627_18_N_107_53_W
207A*01Mexico Chihuahua, Ciudad Juarez0.041710631_41_N_106_25_W
208A*01Mexico Coahuila Rural0.087221626_59_N_102_3_W
209A*01Mexico Coahuila, Saltillo0.04117225_26_N_100_58_W
210A*01Mexico Coahuila, Torreon0.066339625_32_N_103_24_W
211A*01Mexico Colima Rural0.02274319_30_N_103_37_W
212A*01Mexico Colima, Colima city0.06566119_14_N_103_43_W
213A*01Mexico Durango Rural0.097932626_41_N_103_44_W
214A*01Mexico Durango, Durango city0.093515324_1_N_104_39_W
215A*01Mexico Guanajuato Rural0.064416220_54_N_100_44_W
216A*01Mexico Guanajuato, Guanajuato city0.04552221_2_N_101_15_W
217A*01Mexico Guanajuato, Leon0.07697821_7_N_101_41_W
218A*01Mexico Guerrero state0.020814417_36_N_99_57_W
219A*01Mexico Hidalgo Rural0.04328120_38_N_98_59_W
220A*01Mexico Hidalgo, Pachuca0.09764120_6_N_98_45_W
221A*01Mexico Huasteca Region Teenek0.00005522_1_N_100_9_W
222A*01Mexico Jalisco Rural0.061458520_52_N_103_50_W
223A*01Mexico Jalisco, Guadalajara city0.06871,18920_39_N_103_20_W
224A*01Mexico Jalisco, Tlajomulco0.05003020_28_N_103_26_W
225A*01Mexico Jalisco, Tlaquepaque0.05133920_37_N_103_19_W
226A*01Mexico Jalisco, Tonala0.08573520_37_N_103_14_W
227A*01Mexico Jalisco, Zapopan0.050616820_40_N_103_24_W
228A*01Mexico Mestizo14.60.08504119_24_N_99_9_W
229A*01Mexico Mestizo pop 40.061326919_26_N_99_8_W
230A*01Mexico Mexico City Center0.071415219_25_N_99_7_W
231A*01Mexico Mexico City East0.02507919_17_N_99_2_W
232A*01Mexico Mexico City Mestizo0.083012119_25_N_99_8_W
233A*01Mexico Mexico City Mestizo pop 30.043025619_25_N_99_8_W
234A*01Mexico Mexico City Metropolitan Area Rural0.036215019_7_N_98_45_W
235A*01Mexico Mexico City North0.022675119_29_N_99_7_W
236A*01Mexico Mexico City South0.02885219_18_N_99_12_W
237A*01Mexico Mexico City West0.03033319_21_N_99_17_W
238A*01Mexico Michoacan Rural0.077434819_38_N_101_38_W
239A*01Mexico Michoacan, Morelia0.046415019_42_N_101_11_W
240A*01Mexico Morelos Rural0.08333018_57_N_98_58_W
241A*01Mexico Morelos, Cuernavaca0.05498218_55_N_99_13_W
242A*01Mexico Nayarit Rural0.02346420_45_N_105_20_W
243A*01Mexico Nayarit, Tepic0.05159721_30_N_104_53_W
244A*01Mexico Nuevo Leon Rural0.027343925_37_N_100_14_W
245A*01Mexico Nuevo Leon, Monterrey city0.050922625_41_N_100_18_W
246A*01Mexico Oaxaca Rural0.030848515_49_N_96_19_W
247A*01Mexico Oaxaca, Oaxaca city0.039715117_4_N_96_43_W
248A*01Mexico Puebla Mestizo0.03009919_3_N_98_12_W
249A*01Mexico Puebla Rural0.033083319_57_N_97_38_W
250A*01Mexico Puebla, Puebla city0.03211,99419_2_N_98_12_W
251A*01Mexico Queretaro Rural0.04654320_35_N_100_23_W
252A*01Mexico Queretaro, Queretaro city0.02224520_34_N_100_22_W
253A*01Mexico Quintana Roo Rural0.06005020_12_N_87_25_W
254A*01Mexico Quintana Roo, Cancun0.01044821_9_N_86_51_W
255A*01Mexico San Luis Potosi Rural0.03458721_20_N_98_58_W
256A*01Mexico San Luis Potosi, San Luis Potosi city0.06673022_9_N_100_59_W
257A*01Mexico Sinaloa Capomos Mayo Yoremes0.00836026_25_N_108_30_W
258A*01Mexico Sinaloa Mestizo0.05405624_48_N_107_10_W
259A*01Mexico Sinaloa Rural0.049218325_21_N_107_33_W
260A*01Mexico Sinaloa, Culiacán0.038810324_48_N_107_23_W
261A*01Mexico Sonora Rural0.043119732_15_N_114_30_W
262A*01Mexico Sonora, Ciudad Obregón0.094414327_28_N_109_55_W
263A*01Mexico Sonora, Hermosillo0.03549929_4_N_110_57_W
264A*01Mexico Tabasco Rural0.045814218_23_N_93_12_W
265A*01Mexico Tabasco, Villahermosa0.06718217_59_N_92_56_W
266A*01Mexico Tamaulipas Rural0.095212522_23_N_97_56_W
267A*01Mexico Tamaulipas, Ciudad Victoria0.06522323_44_N_99_8_W
268A*01Mexico Tapachula, Chiapas Mestizo Population13.90.06947214_54_N_92_15_W
269A*01Mexico Tlaxcala Rural0.034983019_14_N_98_20_W
270A*01Mexico Tlaxcala, Tlaxcala city0.063518119_18_N_98_14_W
271A*01Mexico Veracruz Rural0.051853918_26_N_95_12_W
272A*01Mexico Veracruz, Coatzacoalcos0.03575518_8_N_94_27_W
273A*01Mexico Veracruz, Cordoba0.03575618_53_N_96_55_W
274A*01Mexico Veracruz, Orizaba0.06676018_51_N_97_6_W
275A*01Mexico Veracruz, Poza Rica0.05564520_31_N_97_27_W
276A*01Mexico Veracruz, Veracruz city0.043617119_10_N_96_8_W
277A*01Mexico Veracruz, Xalapa0.085618719_32_N_96_54_W
278A*01Mexico Yucatan Rural0.052213221_16_N_89_31_W
279A*01Mexico Yucatan, Merida0.041019220_58_N_89_35_W
280A*01Mexico Zacatecas Rural0.068826622_46_N_102_7_W
281A*01Mexico Zacatecas, Fresnillo0.090510323_10_N_102_52_W
282A*01Mexico Zacatecas, Zacatecas city0.04768422_46_N_102_34_W
283A*01Mongolia Hoton0.06608548_40_N_88_18_E
284A*01Mongolia Khalkha0.080020045_0_N_107_0_E
285A*01Mongolia Khalkha pop 20.075020247_55_N_106_53_E
286A*01Mongolia Oold0.144010448_0_N_96_0_E
287A*01Mongolia Tarialan Khoton0.06608549_46_N_91_54_E
288A*01Mongolia Tsaatan0.125014451_0_N_101_0_E
289A*01Mongolia Ulaanbaatar Khalkha0.08504147_55_N_106_55_E
290A*01Morocco0.14809633_14_N_8_30_W
291A*01Morocco Casablanca0.110010033_32_N_7_35_W
292A*01Morocco pop 20.100011032_4_N_6_51_W
293A*01Mozambique0.024020225_58_S_32_35_E
294A*01Myanmar Bamar13.00.07614617_54_N_96_31_E
295A*01Myanmar Chin1.80.00915517_54_N_96_31_E
296A*01Myanmar Kayah1.80.00915517_54_N_96_31_E
297A*01Myanmar Mon9.40.04696417_54_N_96_31_E
298A*01Myanmar Shan5.60.02785417_54_N_96_31_E
299A*01Nigeria2.70.01552586_27_N_3_23_E
300A*01Norway ethnic Norwegians29.30.15924,51061_0_N_10_0_E
301A*01Norway pop 20.152057659_56_N_10_45_E
302A*01Norway Sami0.065020070_0_N_25_0_E
303A*01Pakistan Burusho0.05409236_0_N_73_0_E
304A*01Pakistan Mixed Sindhi0.133010124_0_N_68_0_E
305A*01Peru Arequipa Mestizo8.10.041016815_46_S_73_21_W
306A*01Peru Lamas City Lama0.0120836_25_S_76_32_W
307A*01Poland pop 329.20.14582,90752_12_N_21_1_E
308A*01Portugal Aveiro0.10805,93340_34_N_8_27_W
309A*01Portugal Beja0.091069937_30_N_8_3_W
310A*01Portugal Braga0.12001,97141_37_N_8_20_W
311A*01Portugal Bragança0.090030141_48_N_6_50_W
312A*01Portugal Castelo Branco0.124032739_50_N_7_28_W
313A*01Portugal Center pop 20.109056240_11_N_8_26_W
314A*01Portugal Coimbra0.12005,05740_13_N_8_3_W
315A*01Portugal Evora0.086073738_34_N_7_54_W
316A*01Portugal Faro0.09701,24237_2_N_7_55_W
317A*01Portugal Guarda0.106079740_49_N_7_33_W
318A*01Portugal Leiria0.12601,84739_45_N_8_56_W
319A*01Portugal Lisbon0.107017,42038_42_N_9_11_W
320A*01Portugal North pop 20.11211,80141_9_N_8_37_W
321A*01Portugal Portalegre0.10601,25439_19_N_7_25_W
322A*01Portugal Porto0.11107,93741_9_N_8_38_W
323A*01Portugal Santarem0.10703,86539_14_N_8_41_W
324A*01Portugal Setubal0.10405,26838_32_N_8_53_W
325A*01Portugal South pop 20.11301,02138_42_N_9_11_W
326A*01Portugal Viana do Castelo0.091070641_42_N_8_50_W
327A*01Portugal Vila Real0.10901,16741_17_N_7_48_W
328A*01Portugal Viseu0.11502,91540_40_N_7_55_W
329A*01Romania23.00.122034846_0_N_25_0_E
330A*01Romania pop 20.12006,93644_25_N_26_6_E
331A*01Romania pop 324.10.12881,46944_25_N_26_6_E
332A*01Russia Arkhangelsk Pomor0.14006364_0_N_64_0_E
333A*01Russia Chuvash0.07308258_0_N_43_0_E
334A*01Russia Moscow0.11402,65055_45_N_37_37_E
335A*01Russia Moscow Pop 222.30.11942,00055_45_N_37_37_E
336A*01Russia Murmansk Saomi Mixed0.04007068_58_N_33_5_E
337A*01Russia Nenet Mixed0.03105567_5_N_52_0_E
338A*01Russia North Ossetian22.80.118112743_2_N_44_40_E
339A*01Russia Northwest22.41,01158_0_N_28_0_E
340A*01Russia Northwest pop 317.00.095010059_58_N_30_18_E
341A*01Russia Northwest pop 222.934663_0_N_41_0_E
342A*01Russia Sakhalin Island Nivkhi0.00905351_0_N_143_0_E
343A*01Russia Samara Region0.10302,50053_11_N_50_7_E
344A*01Russia South Ural Bashkir17.80.089014654_32_N_60_20_E
345A*01Russia South Ural Russian31.90.181020754_32_N_60_20_E
346A*01Russia South Ural Tatar22.20.118013554_32_N_60_20_E
347A*01Russia Tatars0.109835561_59_N_96_41_E
348A*01Russia Transbaikal Territory Buryats20.00.100015054_16_N_118_16_E
349A*01Russia, South Ural, Chelyabinsk region, Nagaybaks18.80.094011253_37_N_59_40_E
350A*01Rwanda0.13602801_57_S_30_4_E
351A*01Saudi Arabia16.71824_42_N_46_43_E
352A*01Saudi Arabia pop 20.068038324_42_N_46_43_E
353A*01Saudi Arabia pop 413.60.070149924_38_N_46_43_E
354A*01Scotland Orkney33.00.17009958_59_N_3_11_W
355A*01Serbia0.132038644_28_N_20_28_E
356A*01Serbia pop 326.30.14261,99244_49_N_20_28_E
357A*01Serbia Vojvodina25.20.135040044_13_N_20_47_E
358A*01Slovakia pop 20.14384,23448_6_N_17_7_E
359A*01Slovenia pop 317.713046_3_N_14_30_E
360A*01South Africa Natal Zulu8.00.040010029_0_S_31_0_E
361A*01South Africa Tswana2.50.01204125_51_S_25_38_E
362A*01South Korea pop 10.011032437_0_N_126_0_E
363A*01South Korea pop 80.01907,09637_34_N_126_58_E
364A*01Spain Andalusia0.11409937_22_N_5_59_W
365A*01Spain Andalusia Romani0.27909937_22_N_5_59_W
366A*01Spain Arratia Valley Basque0.19208343_0_N_3_0_W
367A*01Spain Catalonia Girona0.08608841_59_N_2_49_E
368A*01Spain Gipuzkoa Basque0.135010043_10_N_2_10_W
369A*01Spain Ibiza0.13808839_0_N_1_3_E
370A*01Spain Majorca0.106040739_37_N_2_59_E
371A*01Spain Majorca and Minorca0.09309039_37_N_2_59_E
372A*01Spain Majorcans Jews0.159010339_37_N_2_57_E
373A*01Spain Minorca0.06009439_58_N_4_5_E
374A*01Spain Murcia0.095017337_59_N_1_7_W
375A*01Spain North Cabuerniga0.07609543_0_N_4_0_W
376A*01Spain North Cantabria0.10808343_0_N_3_0_W
377A*01Spain Pas Valley0.03808843_0_N_3_0_W
378A*01Spain Sevilla21.20.109727837_22_N_5_58_W
379A*01Spain, Castilla y Leon, Northwest,19.40.10631,74341_50_N_4_23_W
380A*01Sudan East Rashaida14.82714_0_N_35_0_E
381A*01Sudan Khartoum0.05639815_32_N_32_32_E
382A*01Sudan South Nuba8.74612_0_N_30_45_E
383A*01Sweden pop 426.10.139296659_0_N_18_0_E
384A*01Sweden Stockholm25.70.13601,34759_21_N_18_4_E
385A*01Sweden Uppsala24.330059_51_N_17_38_E
386A*01Taiwan Aborigine0.000011125_5_N_121_5_E
387A*01Taiwan Chinese immigrants from Middle China0.009021125_5_N_121_5_E
388A*01Taiwan Chinese immigrants from North China0.030015225_5_N_121_5_E
389A*01Taiwan Chinese immigrants from South China0.015017225_5_N_121_5_E
390A*01Taiwan Hakka pop 20.002071425_5_N_121_5_E
391A*01Taiwan Minnan and Hakka0.003019024_0_N_121_0_E
392A*01Taiwan Minnan pop 20.00307,13725_5_N_121_5_E
393A*01Thailand Northeast0.02406615_13_N_104_51_E
394A*01Thailand Northeast pop 20.016040016_27_N_103_10_E
395A*01Thailand pop 40.022016,80713_45_N_100_29_E
396A*01Trinidad African0.06006710_25_N_61_15_W
397A*01Trinidad South Asian0.11008710_25_N_61_15_W
398A*01Tunisia Ghannouch0.11008233_3_N_10_20_E
399A*01Tunisia pop 30.077010436_48_N_10_11_E
400A*01Turkey pop 20.066022841_0_N_28_58_E
401A*01Turkey pop 50.109014240_0_N_28_0_E
402A*01United Arab Emirates pop 212.137324_0_N_53_0_E
403A*01United Kingdom Central0.191013554_0_N_4_0_W
404A*01United Kingdom East0.171816354_0_N_4_0_W
405A*01United Kingdom North0.177033054_0_N_4_0_W
406A*01United Kingdom Orkney0.18298854_0_N_4_0_W
407A*01United Kingdom pop 20.205010151_30_N_0_7_W
408A*01United Kingdom South West0.168716354_0_N_4_0_W
409A*01USA OPTN African American0.05501,51038_53_N_77_2_W
410A*01USA OPTN Asian0.032026138_53_N_77_2_W
411A*01USA OPTN Caucasian0.15708,52538_53_N_77_2_W
412A*01USA OPTN Hispanic0.06301,58038_53_N_77_2_W
413A*01Venezuela Caracas Mestizo0.07005010_30_N_66_55_W
414A*01Venezuela Colonia Tovar0.12218610_15_N_67_10_W
415A*01Venezuela Valencia and Maracaibo Caracus Mixed0.04209610_10_N_68_0_W
416A*01Venezuela Zulia Maracaibo Mixed0.02502010_38_N_71_26_W
417A*01Venezuela Zulia San Jose de Heras Mixed0.02502010_36_N_72_0_W
418A*01Vietnam Hanoi0.03005021_2_N_105_51_E
419A*01Wales37.40.21101,79851_29_N_3_11_W
420A*01Wales pop 235.50.197039,97951_29_N_3_11_W
421A*01:01Argentina Rosario Toba15.10.07608632_57_S_60_39_W
422A*01:01Armenia combined Regions0.125010040_11_N_44_31_E
423A*01:01Australia Cape York Peninsula Aborigine0.053010310_41_S_142_32_E
424A*01:01Australia Groote Eylandt Aborigine0.02707513_58_S_136_35_E
425A*01:01Australia New South Wales Caucasian0.187013433_0_S_146_0_E
426A*01:01Australia Yuendumu Aborigine0.008019122_15_S_131_47_E
427A*01:01Austria27.00.146020048_13_N_16_21_E
428A*01:01Azores Central Islands0.08005938_0_N_28_0_W
429A*01:01Azores Oriental Islands0.11504336_58_N_25_6_W
430A*01:01Azores Terceira Island0.109013038_44_N_27_19_W
431A*01:01Belgium29.20.15509950_50_N_4_21_E
432A*01:01Brazil Puyanawa8.70.043015010_52_S_53_5_W
433A*01:01Brazil Belo Horizonte Caucasian13.70.07909519_55_S_43_56_W
434A*01:01Brazil Mixed0.091010823_10_S_47_48_W
435A*01:01Brazil Vale do Ribeira Quilombos0.00.000014424_36_S_48_15_W
436A*01:01Bulgaria Romani0.33301342_44_N_23_20_E
437A*01:01Cameroon Baka Pygmy0.0000108_30_N_14_0_E
438A*01:01Cameroon Bamileke0.0260775_28_N_10_25_E
439A*01:01Cameroon Beti0.01101742_55_N_11_9_E
440A*01:01Cameroon Sawa0.0000134_50_N_10_0_E
441A*01:01Cameroon Yaounde0.0110923_52_N_11_31_E
442A*01:01Central African Republic Mbenzele Pygmy0.0363_32_N_16_4_E
443A*01:01Chile Mapuche0.06156637_48_S_73_23_W
444A*01:01Chile Santiago Mixed11.07033_26_S_70_39_W
445A*01:01China Beijing0.03706739_58_N_116_24_E
446A*01:01China Beijing Shijiazhuang Tianjian Han0.034061839_54_N_116_24_E
447A*01:01China Canton Han0.006026423_6_N_113_15_E
448A*01:01China Guangzhou0.010010223_6_N_113_15_E
449A*01:01China Guizhou Province Bouyei0.005010926_50_N_106_50_E
450A*01:01China Guizhou Province Miao pop 20.00008526_50_N_106_50_E
451A*01:01China Guizhou Province Shui0.000015326_50_N_106_50_E
452A*01:01China Hubei Han4.60.02293,73230_45_N_114_15_E
453A*01:01China Inner Mongolia Region0.054010236_0_N_102_0_E
454A*01:01China Jiangsu Han0.03703,23832_54_N_119_48_E
455A*01:01China Jiangsu Province Han0.017433432_54_N_119_48_E
456A*01:01China Marrow Donor Registry0.020060039_54_N_116_23_E
457A*01:01China North Han0.000010539_54_N_116_24_E
458A*01:01China Qinghai Province Hui0.055011036_0_N_102_0_E
459A*01:01China Shanxi HIV negative0.09102236_5_N_111_50_E
460A*01:01China Sichuan HIV negative0.05903430_50_N_102_49_E
461A*01:01China South Han0.005028423_1_N_113_3_E
462A*01:01China Uyghur HIV negative0.02601936_34_N_103_49_E
463A*01:01China Yunnan Province Han0.015010124_2_N_105_3_E
464A*01:01Colombia Bogotá Cord Blood12.00.06081,4634_39_N_73_52_W
465A*01:01Colombia North Chimila Amerindians0.02124710_1_N_74_13_W
466A*01:01Colombia North Wiwa El Encanto0.01925210_10_N_73_53_W
467A*01:01Croatia0.097015045_0_N_15_0_E
468A*01:01Croatia pop 40.12444,00045_48_N_15_57_E
469A*01:01Cuba Caucasian15.70.07907023_8_N_82_22_W
470A*01:01Cuba Mixed Race14.30.07104223_8_N_82_22_W
471A*01:01Czech Republic0.127010650_0_N_14_0_E
472A*01:01Czech Republic NMDR0.16075,09949_48_N_15_30_E
473A*01:01Ecuador Amerindians0.0476630_13_S_78_30_W
474A*01:01England North West38.60.208029853_0_N_3_0_W
475A*01:01Finland0.08909163_29_N_25_16_E
476A*01:01France French Bone Marrow Donor Registry0.130142,62348_51_N_2_21_E
477A*01:01France Southeast27.70.150013046_0_N_5_0_E
478A*01:01Gaza33.30.17864231_22_N_34_18_E
479A*01:01Georgia Svaneti Region Svan0.05608042_54_N_43_0_E
480A*01:01Georgia Tibilisi0.057010941_41_N_44_57_E
481A*01:01Georgia Tibilisi Kurd0.06703141_41_N_44_57_E
482A*01:01Germany DKMS - Austria minority0.15611,69848_31_N_9_3_E
483A*01:01Germany DKMS - Bosnia and Herzegovina minority0.15131,02848_31_N_9_3_E
484A*01:01Germany DKMS - China minority0.03801,28248_31_N_9_3_E
485A*01:01Germany DKMS - Croatia minority0.12132,05748_31_N_9_3_E
486A*01:01Germany DKMS - France minority0.13761,40648_31_N_9_3_E
487A*01:01Germany DKMS - German donors0.15373,456,06648_31_N_9_3_E
488A*01:01Germany DKMS - Greece minority0.10381,89448_31_N_9_3_E
489A*01:01Germany DKMS - Italy minority0.13301,15948_31_N_9_3_E
490A*01:01Germany DKMS - Netherlands minority0.16811,37448_31_N_9_3_E
491A*01:01Germany DKMS - Portugal minority0.11581,17648_31_N_9_3_E
492A*01:01Germany DKMS - Romania minority0.14571,23448_31_N_9_3_E
493A*01:01Germany DKMS - Spain minority0.11891,10748_31_N_9_3_E
494A*01:01Germany DKMS - Turkey minority0.10324,85648_31_N_9_3_E
495A*01:01Germany DKMS - United Kingdom minority0.18031,04348_31_N_9_3_E
496A*01:01Germany pop 60.15418,86251_6_N_10_23_E
497A*01:01Germany pop 80.150739,68948_24_N_9_58_E
498A*01:01Ghana Ga-Adangbe4.60.02291315_45_N_0_12_E
499A*01:01Greece pop 60.113624237_58_N_23_43_E
500A*01:01Greece pop 825.30.14468337_58_N_23_43_E
501A*01:01Guinea Bissau Balanta0.02104811_52_N_15_36_W
502A*01:01Guinea Bissau Bijago0.02202311_52_N_15_36_W
503A*01:01Guinea Bissau Fula0.08103111_52_N_15_36_W
504A*01:01Guinea Bissau Papel0.08002511_52_N_15_36_W
505A*01:01Hong Kong Chinese2.10.011056922_16_N_114_9_E
506A*01:01Hong Kong Chinese BMDR0.00847,59522_15_N_114_10_E
507A*01:01Hong Kong Chinese cord blood registry0.00903,89222_15_N_114_10_E
508A*01:01India Andhra Pradesh Golla0.125011117_5_N_78_5_E
509A*01:01India Delhi pop 220.00.10509028_36_N_77_13_E
510A*01:01India Khandesh Region Pawra0.05005020_54_N_74_46_E
511A*01:01India Mumbai Maratha0.12309118_58_N_72_49_E
512A*01:01India New Delhi0.03807128_37_N_77_13_E
513A*01:01India North pop 20.11507225_0_N_74_0_E
514A*01:01India Tamil Nadu0.15932,49211_32_N_78_52_E
515A*01:01India Tamil Nadu Nadar0.0900618_0_N_77_0_E
516A*01:01India West Bhil0.00005020_54_N_74_46_E
517A*01:01India West Coast Parsi0.01005018_0_N_74_0_E
518A*01:01Indonesia Java Western5.12367_30_S_111_15_E
519A*01:01Iran Gorgan0.03106436_50_N_54_43_E
520A*01:01Iran Kurd pop 20.08306036_17_N_46_17_E
521A*01:01Iran Saqqez-Baneh Kurds0.08336036_14_N_46_16_E
522A*01:01Iran Tabriz Azeris0.11869738_4_N_46_17_E
523A*01:01Iran Yazd0.08935631_53_N_54_21_E
524A*01:01Ireland Northern36.40.20201,00054_40_N_6_45_W
525A*01:01Ireland South44.80.250025053_20_N_6_15_W
526A*01:01Israel Arab Druze0.040010131_8_N_35_2_E
527A*01:01Israel Arab pop 20.164212,30132_8_N_34_52_E
528A*01:01Israel Argentina Jews0.12964,30732_8_N_34_52_E
529A*01:01Israel Ashkenazi and Non Ashkenazi Jews0.171014631_8_N_35_2_E
530A*01:01Israel Ashkenazi Jews pop 30.10784,62532_8_N_34_52_E
531A*01:01Israel Bukhara Jews0.06892,31732_8_N_34_52_E
532A*01:01Israel Druze0.08865,91432_41_N_35_17_E
533A*01:01Israel Ethiopia Jews0.03915,92832_8_N_34_52_E
534A*01:01Israel Georgia Jews0.04084,47132_10_N_34_53_E
535A*01:01Israel Iran Jews0.21808,15332_8_N_34_52_E
536A*01:01Israel Iraq Jews0.182913,27032_10_N_34_52_E
537A*01:01Israel Kavkazi Jews0.06352,84032_10_N_34_52_E
538A*01:01Israel Libya Jews0.14623,73932_10_N_34_52_E
539A*01:01Israel Morocco Jews0.197136,71832_10_N_34_52_E
540A*01:01Israel Poland Jews0.129413,87132_10_N_34_52_E
541A*01:01Israel Tunisia Jews0.17129,07032_10_N_34_52_E
542A*01:01Israel USA Jews0.13136,05832_10_N_34_52_E
543A*01:01Israel USSR Jews0.120545,68132_9_N_34_50_E
544A*01:01Israel YemenJews0.019915,54232_9_N_34_50_E
545A*01:01Italy North pop 326.90.15409743_0_N_12_0_E
546A*01:01Italy pop 50.102097545_28_N_9_11_E
547A*01:01Japan Central0.009037135_41_N_139_46_E
548A*01:01Japan Hokkaido Ainu0.00005043_0_N_142_0_E
549A*01:01Japan pop 160.004018,60435_41_N_139_46_E
550A*01:01Japan pop 30.00201,01835_41_N_139_46_E
551A*01:01Japan pop 50.018011735_41_N_139_46_E
552A*01:01Jordan Amman0.079014631_35_N_36_20_E
553A*01:01Kenya0.03101441_28_S_36_8_E
554A*01:01Kenya Luo0.07402650_0_S_34_6_E
555A*01:01Kenya Nandi0.11802400_0_S_35_0_E
556A*01:01Kenya, Nyanza Province, Luo tribe9.00.04501000_5_S_34_46_E
557A*01:01Kosovo21.00.104812442_34_N_21_0_E
558A*01:01Malaysia Champa13.80.0690292_30_N_112_30_E
559A*01:01Malaysia Kelantan3.60.0180282_30_N_112_30_E
560A*01:01Malaysia Mandailing7.40.0370272_30_N_112_30_E
561A*01:01Malaysia Patani4.00.0200252_30_N_112_30_E
562A*01:01Malaysia Peninsular Chinese1.00.00521943_9_N_101_57_E
563A*01:01Malaysia Peninsular Indian28.80.16422713_9_N_101_57_E
564A*01:01Malaysia Peninsular Malay4.50.02319513_9_N_101_57_E
565A*01:01Mali Bandiagara0.007013814_4_N_3_6_W
566A*01:01Mexico Chiapas Lacandon Mayans0.002321816_54_N_92_5_W
567A*01:01Mexico Chihuahua Chihuahua City Pop 218.20.09098828_48_N_106_26_W
568A*01:01Mexico Mestizo14.60.08504119_24_N_99_9_W
569A*01:01Mexico Mexico City Mestizo pop 20.036323419_26_N_99_8_W
570A*01:01Mexico Mexico City Mestizo population0.087414319_25_N_99_7_W
571A*01:01Mexico Mexico City Tlalpan12.10.060633019_25_N_99_8_W
572A*01:01Mexico Mixtec0.01009723_57_N_103_29_W
573A*01:01Mexico Oaxaca Jamiltepec Mixtec0.01009616_25_N_97_58_W
574A*01:01Mexico Oaxaca Mixe0.01905517_5_N_96_45_W
575A*01:01Mexico Oaxaca Mixtec0.000010317_5_N_96_45_W
576A*01:01Mexico Oaxaca Zapotec0.02209017_5_N_96_45_W
577A*01:01Mexico Veracruz Xalapa3.60.01798419_32_N_96_55_W
578A*01:01Netherlands Leiden0.17501,30552_9_N_4_31_E
579A*01:01Netherlands UMCU37.50.19536452_5_N_5_10_E
580A*01:01New Zealand Maori with Admixed History12.40.062010542_0_S_174_0_E
581A*01:01New Zealand Maori with Full Ancestry8.70.04404642_0_S_174_0_E
582A*01:01New Zealand Polynesians with Admixed History11.10.05602742_0_S_174_0_E
583A*01:01New Zealand Polynesians with Full Ancestry9.50.04802142_0_S_174_0_E
584A*01:01Nicaragua Managua7.20.037433912_7_N_86_10_W
585A*01:01Oman14.40.072011822_0_N_56_0_E
586A*01:01Pakistan Baloch0.03006630_0_N_67_0_E
587A*01:01Pakistan Brahui0.063010430_0_N_67_0_E
588A*01:01Pakistan Burusho0.05409236_0_N_73_0_E
589A*01:01Pakistan Kalash0.00006932_0_N_70_0_E
590A*01:01Pakistan Karachi Parsi0.08309124_49_N_66_59_E
591A*01:01Pakistan Mixed Pathan0.128010032_0_N_70_0_E
592A*01:01Pakistan Mixed Sindhi0.133010124_0_N_68_0_E
593A*01:01Panama0.03964628_59_N_79_37_W
594A*01:01Peru Titikaka Lake Uro0.005010515_50_S_69_42_W
595A*01:01Peru Titikaka Lake Uros0.005010515_50_S_70_1_W
596A*01:01Philippines Ivatan0.00.00005020_22_N_121_56_E
597A*01:01Poland0.133020051_7_N_17_2_E
598A*01:01Poland DKMS0.137720,65352_8_N_19_23_E
599A*01:01Portugal Azores Terceira Island21.90.109613038_43_N_27_13_W
600A*01:01Portugal Center0.13005039_0_N_8_0_W
601A*01:01Portugal North0.07604641_0_N_8_0_W
602A*01:01Portugal South0.05104937_0_N_8_0_W
603A*01:01Romania23.00.122034846_0_N_25_0_E
604A*01:01Russia Bering Island Aleuts0.096210455_0_N_166_15_E
605A*01:01Russia Karelia0.10141,07563_9_N_32_59_E
606A*01:01Russia Tuva pop 20.066016951_30_N_95_5_E
607A*01:01Sao Tome Island Angolar0.0470320_20_N_6_44_E
608A*01:01Sao Tome Island Forro0.0300660_20_N_6_44_E
609A*01:01Saudi Arabia Guraiat and Hail21.60.115021327_31_N_41_41_E
610A*01:01Senegal Niokholo Mandenka0.027016512_35_N_12_9_W
611A*01:01Singapore Chinese0.70.00301491_24_N_103_45_E
612A*01:01Singapore Chinese Han0.0120941_17_N_103_51_E
613A*01:01Singapore Javaneses0.0700511_24_N_103_45_E
614A*01:01Singapore Riau Malay0.03201321_24_N_103_45_E
615A*01:01Singapore SGVP Chinese CHS0.0160961_21_N_103_50_E
616A*01:01Singapore SGVP Malay MAS0.0420891_21_N_103_50_E
617A*01:01Singapore SGVP. Indian INS0.1550861_21_N_103_50_E
618A*01:01Singapore Thai0.00501001_24_N_103_45_E
619A*01:01South Africa Natal Tamil0.17005130_0_S_31_0_E
620A*01:01South Africa Natal Zulu8.00.040010029_0_S_31_0_E
621A*01:01South Africa Worcester13.00.066015933_39_S_19_27_E
622A*01:01South Korea pop 100.01954,12837_33_N_126_58_E
623A*01:01South Korea pop 30.018048537_33_N_126_59_E
624A*01:01Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,18.80.09854,33541_22_N_2_11_E
625A*01:01Sri Lanka Colombo21.10.11307146_56_N_79_50_E
626A*01:01Sri Lanka Colombo Sinhalese0.10901016_56_N_79_50_E
627A*01:01Sudan Central Shaigiya Mixed27.83618_0_N_33_0_E
628A*01:01Sudan Mixed10.00.05002005_0_N_35_0_E
629A*01:01Sweden Northern Sami0.083015467_0_N_18_30_E
630A*01:01Sweden Southern Sami0.093013060_52_N_14_44_E
631A*01:01Switzerland Aargau-Solothurn0.11651,83846_48_N_8_13_E
632A*01:01Switzerland Basel0.12041,88847_33_N_7_34_E
633A*01:01Switzerland Bern0.12783,54546_57_N_7_27_E
634A*01:01Switzerland Geneva pop 20.10481,26746_12_N_6_8_E
635A*01:01Switzerland Graubunden0.072175946_42_N_9_57_E
636A*01:01Switzerland Lausanne0.132599346_31_N_6_39_E
637A*01:01Switzerland Lugano0.07441,16946_0_N_8_55_E
638A*01:01Switzerland Luzern0.09071,55347_3_N_8_18_E
639A*01:01Switzerland Sion0.114683246_15_N_7_23_E
640A*01:01Switzerland St Gallen0.12432,11347_26_N_9_21_E
641A*01:01Switzerland Zurich0.10024,87547_22_N_8_32_E
642A*01:01Taiwan Ami0.00.00009823_0_N_121_0_E
643A*01:01Taiwan Atayal0.00.000010624_0_N_121_0_E
644A*01:01Taiwan Bunun0.00.000010123_46_N_121_0_E
645A*01:01Taiwan Hakka0.00.00005524_0_N_121_0_E
646A*01:01Taiwan Han Chinese0.004050423_46_N_121_0_E
647A*01:01Taiwan Minnan pop 11.00.005010224_0_N_121_0_E
648A*01:01Taiwan Paiwan0.00.00005123_0_N_121_0_E
649A*01:01Taiwan Pazeh0.00.00005525_0_N_121_30_E
650A*01:01Taiwan pop 20.006036423_46_N_121_0_E
651A*01:01Taiwan pop 30.012021223_46_N_121_0_E
652A*01:01Taiwan Puyuma0.00.00005023_0_N_121_0_E
653A*01:01Taiwan Rukai0.00.00005023_0_N_121_0_E
654A*01:01Taiwan Saisiat0.00.00005124_0_N_121_0_E
655A*01:01Taiwan Siraya0.00.00005124_0_N_121_0_E
656A*01:01Taiwan Tao0.00.00005024_0_N_121_0_E
657A*01:01Taiwan Taroko0.00.00005524_0_N_121_0_E
658A*01:01Taiwan Thao0.00.00003024_0_N_121_0_E
659A*01:01Taiwan Tsou0.00.00005124_0_N_121_0_E
660A*01:01Taiwan Tzu Chi Morrow Donor Registry0.006946,68225_2_N_121_38_E
661A*01:01Taiwan Tzu Chi Morrow Donor Registry Aborigine0.006423325_2_N_121_38_E
662A*01:01Taiwan Tzu Chi Cord Blood Bank0.009071023_46_N_121_0_E
663A*01:01Tanzania Maasai17.90.09553363_11_S_37_4_E
664A*01:01Thailand0.028014216_7_N_102_0_E
665A*01:01Tunisia21.00.112010035_0_N_9_0_E
666A*01:01Tunisia Gabes0.11059533_53_N_10_6_E
667A*01:01Uganda Kampala0.08301610_3_N_32_6_E
668A*01:01Uganda Kampala pop 20.06601750_20_N_32_30_E
669A*01:01United Arab Emirates Abu Dhabi0.06735224_28_N_54_22_E
670A*01:01USA African American0.056025230_0_N_95_0_W
671A*01:01USA African American Bethesda14.80.074018738_0_N_78_0_W
672A*01:01USA African American pop 20.054014932_46_N_96_46_W
673A*01:01USA African American pop 40.04742,41144_58_N_93_15_W
674A*01:01USA Alaska Yupik0.004025260_48_N_161_26_W
675A*01:01USA Arizona Gila River Amerindian0.004049233_4_N_111_44_W
676A*01:01USA Arizona Pima0.006010033_0_N_113_0_W
677A*01:01USA Asian0.015035830_0_N_95_0_W
678A*01:01USA Asian pop 20.05081,77244_58_N_93_15_W
679A*01:01USA Caucasian Bethesda28.70.165030738_0_N_78_0_W
680A*01:01USA Caucasian pop 20.151026530_0_N_95_0_W
681A*01:01USA Caucasian pop 30.13608832_46_N_96_48_W
682A*01:01USA Caucasian pop 40.16821,07038_53_N_77_2_W
683A*01:01USA Hawaii Okinawa0.005010621_0_N_157_0_W
684A*01:01USA Hispanic0.060023430_0_N_95_0_W
685A*01:01USA Hispanic pop 20.06701,99944_58_N_93_15_W
686A*01:01USA NMDP African0.050628,55738_45_N_76_6_W
687A*01:01USA NMDP African American pop 20.0467416,58138_45_N_76_6_W
688A*01:01USA NMDP Alaska Native or Aleut0.10501,37638_45_N_76_6_W
689A*01:01USA NMDP American Indian South or Central America0.11905,92638_45_N_76_6_W
690A*01:01USA NMDP Caribean Black0.044933,32838_45_N_76_6_W
691A*01:01USA NMDP Caribean Hispanic0.0666115,37438_45_N_76_6_W
692A*01:01USA NMDP Caribean Indian0.063014,33938_45_N_76_6_W
693A*01:01USA NMDP Chinese0.014599,67238_45_N_76_6_W
694A*01:01USA NMDP European Caucasian0.16461,242,89038_45_N_76_6_W
695A*01:01USA NMDP Filipino0.012550,61438_45_N_76_6_W
696A*01:01USA NMDP Hawaiian or other Pacific Islander0.044711,49938_45_N_76_6_W
697A*01:01USA NMDP Hispanic South or Central American0.0726146,71438_45_N_76_6_W
698A*01:01USA NMDP Japanese0.010024,58238_45_N_76_6_W
699A*01:01USA NMDP Korean0.020877,58438_45_N_76_6_W
700A*01:01USA NMDP Mexican or Chicano0.0735261,23538_45_N_76_6_W
701A*01:01USA NMDP Middle Eastern or North Coast of Africa0.135070,89038_45_N_76_6_W
702A*01:01USA NMDP North American Amerindian0.120235,79138_45_N_76_6_W
703A*01:01USA NMDP South Asian Indian0.1545185,39138_45_N_76_6_W
704A*01:01USA NMDP Southeast Asian0.114727,97838_45_N_76_6_W
705A*01:01USA NMDP Vietnamese0.033243,54038_45_N_76_6_W
706A*01:01USA North American Native0.075018730_0_N_95_0_W
707A*01:01USA Philadelphia Caucasian21.50.119014139_56_N_75_10_W
708A*01:01USA San Antonio Caucasian0.150622229_23_N_98_33_W
709A*01:01USA San Diego20.00.106049632_50_N_117_15_W
710A*01:01USA San Francisco Caucasian0.160022037_46_N_122_25_W
711A*01:01USA South Dakota Lakota Sioux0.012030244_30_N_100_0_W
712A*01:01USA South Texas Hispanic0.060019429_0_N_98_0_W
713A*01:01Venezuela Perja Mountain Bari0.0110559_49_N_72_49_W
714A*01:01Vietnam Hanoi Kinh pop 20.038017021_2_N_105_51_E
715A*01:01Zambia Lusaka0.03504415_25_S_28_17_E
716A*01:01Zimbabwe Harare Shona0.004023017_51_S_31_1_E
717A*01:01:01Brazil Barra Mansa Rio State Black0.08227322_32_S_44_10_W
718A*01:01:01Brazil Barra Mansa Rio State Caucasian0.117340522_32_S_44_10_W
719A*01:01:01Brazil Rio de Janeiro Black0.05156822_54_S_43_12_W
720A*01:01:01Brazil Rio de Janeiro Caucasian0.098852122_54_S_43_12_W
721A*01:01:01Brazil Rio de Janeiro Parda0.079417022_54_S_43_12_W
722A*01:01:01Bulgaria0.07305542_0_N_23_0_E
723A*01:01:01Cape Verde Northwestern Islands0.04806216_0_N_24_0_W
724A*01:01:01Cape Verde Southeastern Islands0.04806216_0_N_24_0_W
725A*01:01:01China Jingpo Minority2.90.014510525_0_N_102_0_E
726A*01:01:01China North Han0.071010539_54_N_116_24_E
727A*01:01:01China Tibet Region Tibetan0.022015829_39_N_91_7_E
728A*01:01:01China Zhejiang Han0.01531,73427_2_N_118_1_E
729A*01:01:01Costa Rica African -Caribbean (G)8.80.04401029_59_N_83_1_W
730A*01:01:01Costa Rica Amerindians (G)4.80.02401259_34_N_83_25_W
731A*01:01:01Costa Rica Central Valley Mestizo (G)15.30.07902219_55_N_84_5_W
732A*01:01:01Costa Rica Guanacaste Mestizo (G)9.20.046011010_16_N_85_37_W
733A*01:01:01England Blood Donors of Mixed Ethnicity37.40.206251952_21_N_1_10_W
734A*01:01:01Guinea Bissau0.04606512_0_N_15_0_W
735A*01:01:01Hong Kong Chinese HKBMDR HLA 11 loci2.00.01035,26622_25_N_114_17_E
736A*01:01:01India Andhra Pradesh Telugu Speaking28.50.147918613_4_N_80_14_E
737A*01:01:01India Karnataka Kannada Speaking30.50.158017412_57_N_77_36_E
738A*01:01:01India Kerala Malayalam speaking16.30.085735613_1_N_80_15_E
739A*01:01:01Iran Baloch0.017010029_29_N_60_52_E
740A*01:01:01Japan Okinawa Ryukyuan0.004014326_4_N_127_8_E
741A*01:01:01Madeira0.059018532_44_N_16_58_W
742A*01:01:01Mexico Guadalajara Mestizo pop 20.068010320_40_N_103_21_W
743A*01:01:01Mexico Hidalgo Mezquital Valley/ Otomi8.30.05567220_28_N_99_13_W
744A*01:01:01Mongolia Buryat0.114014147_6_N_118_6_E
745A*01:01:01Morocco Atlantic Coast Chaouya0.12809830_22_N_7_22_W
746A*01:01:01Morocco Nador Metalsa pop 20.13707335_10_N_2_56_W
747A*01:01:01Morocco Settat Chaouya25.60.12809833_0_N_7_36_W
748A*01:01:01Nicaragua Mestizo (G)5.80.029015512_40_N_85_13_W
749A*01:01:01Poland BMR25.60.137223,59552_0_N_19_22_E
750A*01:01:01Russia Belgorod region19.00.094815350_46_N_37_27_E
751A*01:01:01Russia Bashkortostan, Bashkirs0.80.008312054_0_N_55_0_E
752A*01:01:01Russia Bashkortostan, Tatars0.50.002619254_13_N_56_9_E
753A*01:01:01Russia Nizhny Novgorod, Russians1.00.00501,51056_19_N_43_59_E
754A*01:01:01Russian Federation Vologda Region20.20.105011959_13_N_39_54_E
755A*01:01:01Saudi Arabia pop 6 (G)0.071228,92723_52_N_45_4_E
756A*01:01:01South Africa Caucasians0.200010230_0_S_25_0_E
757A*01:01:01South African Black5.60.028214229_9_S_24_39_E
758A*01:01:01South African Indian population24.00.13005029_22_S_24_31_E
759A*01:01:01South African Mixed ancestry24.00.12005029_22_S_24_31_E
760A*01:01:01South Korea pop 30.000048537_33_N_126_59_E
761A*01:01:01Spain, Canary Islands, Gran canaria island20.00.104721527_57_N_15_36_W
762A*01:01:01USA African American pop 30.044056438_53_N_77_2_W
763A*01:01:01USA Arizona Gila River Pima0.00093,00033_4_N_111_43_W
764A*01:01:01USA Eastern European0.142055838_53_N_77_2_W
765A*01:01:01USA San Francisco Caucasian0.160022037_46_N_122_25_W
766A*01:01:01Vietnam Kinh3.00.014910114_5_N_108_27_E
767A*01:01:01:01Bolivia/Chile Aymara NA-DHS_13 (G)5.00.02502022_0_S_70_0_W
768A*01:01:01:01Canada Chipewyan NA-DHS_2 (G)8.00.04002559_36_N_107_20_W
769A*01:01:01:01Canada Cree NA-DHS_3 (G)11.10.05561850_20_N_102_30_W
770A*01:01:01:01Canada Ojibwa NA-DHS_4 (G)20.00.10001646_0_N_81_0_W
771A*01:01:01:01Chile Huilliche NA-DHS_14 (G)10.00.05002041_0_S_73_0_W
772A*01:01:01:01China Guangdong Province Meizhou Han0.015010024_27_N_116_7_E
773A*01:01:01:01Colombia Inga NA-DHS_11 (G)6.70.0333161_0_N_77_0_W
774A*01:01:01:01Colombia Wayuu NA-DHS_15 (G)6.70.03331511_0_N_73_0_W
775A*01:01:01:01Indonesia Java pop 20.0280366_8_S_106_10_E
776A*01:01:01:01Indonesia Sundanese and Javanese0.02502016_8_S_106_10_E
777A*01:01:01:01Libya Cyrenaica0.114011832_7_N_20_4_E
778A*01:01:01:01Mexico Mixe NA-DHS_6 (G)5.00.02502017_0_N_96_0_W
779A*01:01:01:01Russia Bashkortostan, Bashkirs16.70.087512054_0_N_55_0_E
780A*01:01:01:01Russia Bashkortostan, Tatars23.40.127619254_13_N_56_9_E
781A*01:01:01:01Russia Nizhny Novgorod, Russians22.60.11621,51056_19_N_43_59_E
782A*01:01:01:01Saudi Arabia pop 54.40.022215824_38_N_46_43_E
783A*01:01:01:01USA Italy Ancestry0.152027338_0_N_77_0_W
784A*01:01:01:01USA Mexican American Mestizo0.082055338_53_N_77_2_W
785A*01:01:01:01USA San Francisco Caucasian0.160022037_46_N_122_25_W
786A*01:01:01:01USA Spain Ancestry0.075027938_0_N_77_0_W
787A*01:01:01:02NPoland BMR0.00.000023,59552_0_N_19_22_E
788A*01:01:02Bulgaria0.00005542_0_N_23_0_E
789A*01:01:02China North Han0.000010539_54_N_116_24_E
790A*01:01:02Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
791A*01:01:02Saudi Arabia pop 51.30.006315824_38_N_46_43_E
792A*01:01:02South Korea pop 30.000048537_33_N_126_59_E
793A*01:01:03Poland BMR0.00.000023,59552_0_N_19_22_E
794A*01:01:33Russia Nizhny Novgorod, Russians0.10.00031,51056_19_N_43_59_E
795A*01:01:38LMorocco Settat Chaouya0.00.00009833_0_N_7_36_W
796A*01:02Argentina Rosario Toba1.20.00608632_57_S_60_39_W
797A*01:02Brazil Barra Mansa Rio State Caucasian0.001240522_32_S_44_10_W
798A*01:02Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
799A*01:02Brazil Rio de Janeiro Caucasian0.001052122_54_S_43_12_W
800A*01:02Brazil Vale do Ribeira Quilombos0.00.000014424_36_S_48_15_W
801A*01:02Bulgaria0.00005542_0_N_23_0_E
802A*01:02Cameroon Baka Pygmy0.0000108_30_N_14_0_E
803A*01:02Cameroon Bamileke0.0000775_28_N_10_25_E
804A*01:02Cameroon Beti0.00301742_55_N_11_9_E
805A*01:02Cameroon Sawa0.0000134_50_N_10_0_E
806A*01:02Cape Verde Northwestern Islands0.00006216_0_N_24_0_W
807A*01:02Cape Verde Southeastern Islands0.01606216_0_N_24_0_W
808A*01:02Central African Republic Mbenzele Pygmy0.0363_32_N_16_4_E
809A*01:02China Jiangsu Province Han0.001833432_54_N_119_48_E
810A*01:02China North Han0.000010539_54_N_116_24_E
811A*01:02China Tibet Region Tibetan0.000015829_39_N_91_7_E
812A*01:02Colombia Bogotá Cord Blood0.50.00271,4634_39_N_73_52_W
813A*01:02Costa Rica African -Caribbean (G)2.00.01001029_59_N_83_1_W
814A*01:02Costa Rica Amerindians (G)1.60.00801259_34_N_83_25_W
815A*01:02Croatia0.000015045_0_N_15_0_E
816A*01:02Croatia pop 40.00014,00045_48_N_15_57_E
817A*01:02Cuba Caucasian0.00.00007023_8_N_82_22_W
818A*01:02Cuba Mixed Race0.00.00004223_8_N_82_22_W
819A*01:02Czech Republic0.000010650_0_N_14_0_E
820A*01:02Czech Republic NMDR0.00015,09949_48_N_15_30_E
821A*01:02France French Bone Marrow Donor Registry0.007342,62348_51_N_2_21_E
822A*01:02Germany DKMS - Croatia minority0.00022,05748_31_N_9_3_E
823A*01:02Germany DKMS - German donors0.00013,456,06648_31_N_9_3_E
824A*01:02Germany DKMS - Greece minority0.00031,89448_31_N_9_3_E
825A*01:02Germany DKMS - Italy minority0.00221,15948_31_N_9_3_E
826A*01:02Germany DKMS - Portugal minority0.00131,17648_31_N_9_3_E
827A*01:02Germany DKMS - Spain minority0.00271,10748_31_N_9_3_E
828A*01:02Germany DKMS - Turkey minority0.00024,85648_31_N_9_3_E
829A*01:02Germany DKMS - United Kingdom minority0.00101,04348_31_N_9_3_E
830A*01:02Germany pop 60.00028,86251_6_N_10_23_E
831A*01:02Germany pop 80.000139,68948_24_N_9_58_E
832A*01:02Guinea Bissau0.00806512_0_N_15_0_W
833A*01:02Guinea Bissau Balanta0.02104811_52_N_15_36_W
834A*01:02Guinea Bissau Bijago0.00002311_52_N_15_36_W
835A*01:02Guinea Bissau Fula0.00003111_52_N_15_36_W
836A*01:02Guinea Bissau Papel0.02002511_52_N_15_36_W
837A*01:02Hong Kong Chinese0.00.000056922_16_N_114_9_E
838A*01:02India Delhi pop 26.70.03309028_36_N_77_13_E
839A*01:02Iran Gorgan0.04706436_50_N_54_43_E
840A*01:02Iran Kurd pop 20.02506036_17_N_46_17_E
841A*01:02Iran Saqqez-Baneh Kurds0.02506036_14_N_46_16_E
842A*01:02Iran Tabriz Azeris0.06199738_4_N_46_17_E
843A*01:02Ireland Northern0.00.00001,00054_40_N_6_45_W
844A*01:02Israel Arab pop 20.000012,30132_8_N_34_52_E
845A*01:02Israel Argentina Jews0.00014,30732_8_N_34_52_E
846A*01:02Israel Bukhara Jews0.00012,31732_8_N_34_52_E
847A*01:02Israel Georgia Jews0.00014,47132_10_N_34_53_E
848A*01:02Israel Iran Jews0.00008,15332_8_N_34_52_E
849A*01:02Israel Iraq Jews0.000013,27032_10_N_34_52_E
850A*01:02Israel Morocco Jews0.000136,71832_10_N_34_52_E
851A*01:02Israel Poland Jews0.000213,87132_10_N_34_52_E
852A*01:02Israel Tunisia Jews0.00009,07032_10_N_34_52_E
853A*01:02Israel USA Jews0.00026,05832_10_N_34_52_E
854A*01:02Israel USSR Jews0.000145,68132_9_N_34_50_E
855A*01:02Israel YemenJews0.000115,54232_9_N_34_50_E
856A*01:02Italy North pop 30.00.00009743_0_N_12_0_E
857A*01:02Italy pop 50.003097545_28_N_9_11_E
858A*01:02Kenya Luo0.00402650_0_S_34_6_E
859A*01:02Kenya Nandi0.02702400_0_S_35_0_E
860A*01:02Madeira0.008018532_44_N_16_58_W
861A*01:02Mali Bandiagara0.011013814_4_N_3_6_W
862A*01:02Mexico Mestizo0.00.00004119_24_N_99_9_W
863A*01:02Mexico Mexico City Mestizo pop 20.004323419_26_N_99_8_W
864A*01:02Morocco Atlantic Coast Chaouya0.00709830_22_N_7_22_W
865A*01:02Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
866A*01:02Morocco Settat Chaouya1.40.00709833_0_N_7_36_W
867A*01:02Netherlands Leiden0.00001,30552_9_N_4_31_E
868A*01:02Nicaragua Managua0.30.001533912_7_N_86_10_W
869A*01:02Oman0.00.000011822_0_N_56_0_E
870A*01:02Pakistan Baloch0.00006630_0_N_67_0_E
871A*01:02Pakistan Brahui0.000010430_0_N_67_0_E
872A*01:02Pakistan Burusho0.00009236_0_N_73_0_E
873A*01:02Pakistan Kalash0.00006932_0_N_70_0_E
874A*01:02Pakistan Karachi Parsi0.00009124_49_N_66_59_E
875A*01:02Pakistan Mixed Pathan0.000010032_0_N_70_0_E
876A*01:02Panama0.00454628_59_N_79_37_W
877A*01:02Philippines Ivatan0.00.00005020_22_N_121_56_E
878A*01:02Poland BMR0.00.000123,59552_0_N_19_22_E
879A*01:02Romania0.00.000034846_0_N_25_0_E
880A*01:02Russia Nizhny Novgorod, Russians0.10.00031,51056_19_N_43_59_E
881A*01:02Russia Tuva pop 20.003016951_30_N_95_5_E
882A*01:02Saudi Arabia pop 51.30.006315824_38_N_46_43_E
883A*01:02Saudi Arabia pop 6 (G)0.000628,92723_52_N_45_4_E
884A*01:02Senegal Niokholo Mandenka0.016016512_35_N_12_9_W
885A*01:02Singapore Chinese0.00.00001491_24_N_103_45_E
886A*01:02South Africa Natal Zulu0.00.000010029_0_S_31_0_E
887A*01:02South Korea pop 100.00014,12837_33_N_126_58_E
888A*01:02South Korea pop 30.000048537_33_N_126_59_E
889A*01:02Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.60.00294,33541_22_N_2_11_E
890A*01:02Switzerland Aargau-Solothurn0.00001,83846_48_N_8_13_E
891A*01:02Switzerland Basel0.00001,88847_33_N_7_34_E
892A*01:02Switzerland Bern0.00003,54546_57_N_7_27_E
893A*01:02Switzerland Geneva pop 20.00001,26746_12_N_6_8_E
894A*01:02Switzerland Graubunden0.000075946_42_N_9_57_E
895A*01:02Switzerland Lausanne0.000099346_31_N_6_39_E
896A*01:02Switzerland Lugano0.00931,16946_0_N_8_55_E
897A*01:02Switzerland Luzern0.00001,55347_3_N_8_18_E
898A*01:02Switzerland Sion0.000083246_15_N_7_23_E
899A*01:02Switzerland St Gallen0.00002,11347_26_N_9_21_E
900A*01:02Switzerland Zurich0.00004,87547_22_N_8_32_E
901A*01:02Taiwan Ami0.00.00009823_0_N_121_0_E
902A*01:02Taiwan Atayal0.00.000010624_0_N_121_0_E
903A*01:02Taiwan Bunun0.00.000010123_46_N_121_0_E
904A*01:02Taiwan Hakka0.00.00005524_0_N_121_0_E
905A*01:02Taiwan Minnan pop 10.00.000010224_0_N_121_0_E
906A*01:02Taiwan Paiwan0.00.00005123_0_N_121_0_E
907A*01:02Taiwan Pazeh0.00.00005525_0_N_121_30_E
908A*01:02Taiwan Puyuma0.00.00005023_0_N_121_0_E
909A*01:02Taiwan Rukai0.00.00005023_0_N_121_0_E
910A*01:02Taiwan Saisiat0.00.00005124_0_N_121_0_E
911A*01:02Taiwan Siraya0.00.00005124_0_N_121_0_E
912A*01:02Taiwan Tao0.00.00005024_0_N_121_0_E
913A*01:02Taiwan Taroko0.00.00005524_0_N_121_0_E
914A*01:02Taiwan Thao0.00.00003024_0_N_121_0_E
915A*01:02Taiwan Tsou0.00.00005124_0_N_121_0_E
916A*01:02Tanzania Maasai1.20.00603363_11_S_37_4_E
917A*01:02Tunisia2.00.010010035_0_N_9_0_E
918A*01:02Uganda Kampala0.00301610_3_N_32_6_E
919A*01:02Uganda Kampala pop 20.00601750_20_N_32_30_E
920A*01:02USA African American0.006025230_0_N_95_0_W
921A*01:02USA African American Bethesda0.00.000018738_0_N_78_0_W
922A*01:02USA African American pop 30.007056438_53_N_77_2_W
923A*01:02USA African American pop 40.00652,41144_58_N_93_15_W
924A*01:02USA Alaska Yupik0.000025260_48_N_161_26_W
925A*01:02USA Asian0.000035830_0_N_95_0_W
926A*01:02USA Asian pop 20.00001,77244_58_N_93_15_W
927A*01:02USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
928A*01:02USA Caucasian pop 20.000026530_0_N_95_0_W
929A*01:02USA Caucasian pop 40.00091,07038_53_N_77_2_W
930A*01:02USA Hispanic0.006023430_0_N_95_0_W
931A*01:02USA Hispanic pop 20.00301,99944_58_N_93_15_W
932A*01:02USA NMDP African0.003128,55738_45_N_76_6_W
933A*01:02USA NMDP African American pop 20.0042416,58138_45_N_76_6_W
934A*01:02USA NMDP Caribean Black0.003333,32838_45_N_76_6_W
935A*01:02USA NMDP Caribean Hispanic0.0021115,37438_45_N_76_6_W
936A*01:02USA NMDP Caribean Indian0.002014,33938_45_N_76_6_W
937A*01:02USA NMDP European Caucasian0.00011,242,89038_45_N_76_6_W
938A*01:02USA NMDP Filipino0.000050,61438_45_N_76_6_W
939A*01:02USA NMDP Hawaiian or other Pacific Islander0.000111,49938_45_N_76_6_W
940A*01:02USA NMDP Hispanic South or Central American0.0014146,71438_45_N_76_6_W
941A*01:02USA NMDP Mexican or Chicano0.0012261,23538_45_N_76_6_W
942A*01:02USA NMDP Middle Eastern or North Coast of Africa0.000370,89038_45_N_76_6_W
943A*01:02USA NMDP North American Amerindian0.000235,79138_45_N_76_6_W
944A*01:02USA NMDP South Asian Indian0.0000185,39138_45_N_76_6_W
945A*01:02USA NMDP Southeast Asian0.000027,97838_45_N_76_6_W
946A*01:02USA North American Native0.000018730_0_N_95_0_W
947A*01:02USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
948A*01:02USA San Antonio Caucasian0.000022229_23_N_98_33_W
949A*01:02USA South Texas Hispanic0.000019429_0_N_98_0_W
950A*01:02USA Spain Ancestry0.002027938_0_N_77_0_W
951A*01:02Zambia Lusaka0.00004415_25_S_28_17_E
952A*01:03Brazil Vale do Ribeira Quilombos0.00.000014424_36_S_48_15_W
953A*01:03Bulgaria0.00005542_0_N_23_0_E
954A*01:03China Beijing Shijiazhuang Tianjian Han0.002061839_54_N_116_24_E
955A*01:03China Guangdong Province Meizhou Han0.005010024_27_N_116_7_E
956A*01:03China Hubei Han0.00.00013,73230_45_N_114_15_E
957A*01:03China Jiangsu Province Han0.001833432_54_N_119_48_E
958A*01:03China North Han0.000010539_54_N_116_24_E
959A*01:03China Tibet Region Tibetan0.000015829_39_N_91_7_E
960A*01:03China Zhejiang Han0.00031,73427_2_N_118_1_E
961A*01:03Croatia0.000015045_0_N_15_0_E
962A*01:03Croatia pop 40.00014,00045_48_N_15_57_E
963A*01:03Czech Republic0.000010650_0_N_14_0_E
964A*01:03Czech Republic NMDR0.00025,09949_48_N_15_30_E
965A*01:03Germany DKMS - Austria minority0.00091,69848_31_N_9_3_E
966A*01:03Germany DKMS - France minority0.00071,40648_31_N_9_3_E
967A*01:03Germany DKMS - German donors0.00033,456,06648_31_N_9_3_E
968A*01:03Germany DKMS - Greece minority0.00081,89448_31_N_9_3_E
969A*01:03Germany DKMS - Netherlands minority0.00041,37448_31_N_9_3_E
970A*01:03Germany DKMS - Portugal minority0.00041,17648_31_N_9_3_E
971A*01:03Germany DKMS - Spain minority0.00051,10748_31_N_9_3_E
972A*01:03Germany DKMS - Turkey minority0.00094,85648_31_N_9_3_E
973A*01:03Germany pop 60.00028,86251_6_N_10_23_E
974A*01:03Germany pop 80.000539,68948_24_N_9_58_E
975A*01:03Hong Kong Chinese BMDR0.00037,59522_15_N_114_10_E
976A*01:03Iran Baloch0.006010029_29_N_60_52_E
977A*01:03Israel Arab pop 20.000212,30132_8_N_34_52_E
978A*01:03Israel Argentina Jews0.00014,30732_8_N_34_52_E
979A*01:03Israel Ashkenazi and Non Ashkenazi Jews0.021014631_8_N_35_2_E
980A*01:03Israel Ashkenazi Jews pop 30.00044,62532_8_N_34_52_E
981A*01:03Israel Ethiopia Jews0.07055,92832_8_N_34_52_E
982A*01:03Israel Georgia Jews0.11854,47132_10_N_34_53_E
983A*01:03Israel Iran Jews0.00018,15332_8_N_34_52_E
984A*01:03Israel Iraq Jews0.000113,27032_10_N_34_52_E
985A*01:03Israel Kavkazi Jews0.05822,84032_10_N_34_52_E
986A*01:03Israel Libya Jews0.00043,73932_10_N_34_52_E
987A*01:03Israel Morocco Jews0.000136,71832_10_N_34_52_E
988A*01:03Israel Poland Jews0.000013,87132_10_N_34_52_E
989A*01:03Israel Tunisia Jews0.00029,07032_10_N_34_52_E
990A*01:03Israel USSR Jews0.000145,68132_9_N_34_50_E
991A*01:03Israel YemenJews0.076715,54232_9_N_34_50_E
992A*01:03Italy Bergamo0.00.000010145_42_N_9_40_E
993A*01:03Italy North pop 30.00.00009743_0_N_12_0_E
994A*01:03Kenya0.00701441_28_S_36_8_E
995A*01:03Kenya Luo0.00002650_0_S_34_6_E
996A*01:03Kenya Nandi0.01702400_0_S_35_0_E
997A*01:03Kenya, Nyanza Province, Luo tribe1.00.00501000_5_S_34_46_E
998A*01:03Malaysia Peninsular Indian0.70.00372713_9_N_101_57_E
999A*01:03Malaysia Peninsular Malay0.10.00059513_9_N_101_57_E
1,000A*01:03Mali Bandiagara0.000013814_4_N_3_6_W
1,001A*01:03Mexico Mexico City Mestizo pop 20.002123419_26_N_99_8_W
1,002A*01:03Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
1,003A*01:03Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,004A*01:03Netherlands Leiden0.00001,30552_9_N_4_31_E
1,005A*01:03Philippines Ivatan0.00.00005020_22_N_121_56_E
1,006A*01:03Poland DKMS0.000220,65352_8_N_19_23_E
1,007A*01:03Russia Nizhny Novgorod, Russians0.10.00031,51056_19_N_43_59_E
1,008A*01:03Saudi Arabia Guraiat and Hail1.40.007021327_31_N_41_41_E
1,009A*01:03Saudi Arabia pop 51.30.006315824_38_N_46_43_E
1,010A*01:03Saudi Arabia pop 6 (G)0.006128,92723_52_N_45_4_E
1,011A*01:03South Africa Caucasians0.000010230_0_S_25_0_E
1,012A*01:03South Korea pop 30.000048537_33_N_126_59_E
1,013A*01:03Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.20.00084,33541_22_N_2_11_E
1,014A*01:03Sudan Mixed3.00.01502005_0_N_35_0_E
1,015A*01:03Taiwan Ami0.00.00009823_0_N_121_0_E
1,016A*01:03Taiwan Atayal0.00.000010624_0_N_121_0_E
1,017A*01:03Taiwan Bunun0.00.000010123_46_N_121_0_E
1,018A*01:03Taiwan Hakka0.00.00005524_0_N_121_0_E
1,019A*01:03Taiwan Han Chinese0.002050423_46_N_121_0_E
1,020A*01:03Taiwan Minnan pop 10.00.000010224_0_N_121_0_E
1,021A*01:03Taiwan Paiwan0.00.00005123_0_N_121_0_E
1,022A*01:03Taiwan Pazeh0.00.00005525_0_N_121_30_E
1,023A*01:03Taiwan Puyuma0.00.00005023_0_N_121_0_E
1,024A*01:03Taiwan Rukai0.00.00005023_0_N_121_0_E
1,025A*01:03Taiwan Saisiat0.00.00005124_0_N_121_0_E
1,026A*01:03Taiwan Siraya0.00.00005124_0_N_121_0_E
1,027A*01:03Taiwan Tao0.00.00005024_0_N_121_0_E
1,028A*01:03Taiwan Taroko0.00.00005524_0_N_121_0_E
1,029A*01:03Taiwan Thao0.00.00003024_0_N_121_0_E
1,030A*01:03Taiwan Tsou0.00.00005124_0_N_121_0_E
1,031A*01:03Tanzania Maasai5.40.02693363_11_S_37_4_E
1,032A*01:03Tunisia0.00.000010035_0_N_9_0_E
1,033A*01:03Uganda Kampala0.00001610_3_N_32_6_E
1,034A*01:03Uganda Kampala pop 20.00301750_20_N_32_30_E
1,035A*01:03United Arab Emirates Abu Dhabi0.00965224_28_N_54_22_E
1,036A*01:03USA African American Bethesda0.00.000018738_0_N_78_0_W
1,037A*01:03USA African American pop 40.00022,41144_58_N_93_15_W
1,038A*01:03USA Alaska Yupik0.000025260_48_N_161_26_W
1,039A*01:03USA Asian pop 20.00001,77244_58_N_93_15_W
1,040A*01:03USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
1,041A*01:03USA Hispanic pop 20.00001,99944_58_N_93_15_W
1,042A*01:03USA NMDP African0.002528,55738_45_N_76_6_W
1,043A*01:03USA NMDP African American pop 20.0001416,58138_45_N_76_6_W
1,044A*01:03USA NMDP Caribean Black0.000133,32838_45_N_76_6_W
1,045A*01:03USA NMDP Caribean Hispanic0.0001115,37438_45_N_76_6_W
1,046A*01:03USA NMDP Chinese0.000199,67238_45_N_76_6_W
1,047A*01:03USA NMDP European Caucasian0.00011,242,89038_45_N_76_6_W
1,048A*01:03USA NMDP Filipino0.000250,61438_45_N_76_6_W
1,049A*01:03USA NMDP Hawaiian or other Pacific Islander0.000011,49938_45_N_76_6_W
1,050A*01:03USA NMDP Hispanic South or Central American0.0001146,71438_45_N_76_6_W
1,051A*01:03USA NMDP Mexican or Chicano0.0001261,23538_45_N_76_6_W
1,052A*01:03USA NMDP Middle Eastern or North Coast of Africa0.001170,89038_45_N_76_6_W
1,053A*01:03USA NMDP North American Amerindian0.000035,79138_45_N_76_6_W
1,054A*01:03USA NMDP South Asian Indian0.0001185,39138_45_N_76_6_W
1,055A*01:03USA NMDP Southeast Asian0.000127,97838_45_N_76_6_W
1,056A*01:03USA NMDP Vietnamese0.000343,54038_45_N_76_6_W
1,057A*01:03USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
1,058A*01:03USA San Antonio Caucasian0.000022229_23_N_98_33_W
1,059A*01:03USA South Texas Hispanic0.000019429_0_N_98_0_W
1,060A*01:03Zambia Lusaka0.00004415_25_S_28_17_E
1,061A*01:03:01Hong Kong Chinese HKBMDR HLA 11 loci0.00.00015,26622_25_N_114_17_E
1,062A*01:03:01Russia Belgorod region0.70.003315350_46_N_37_27_E
1,063A*01:03:01South African Black0.70.003514229_9_S_24_39_E
1,064A*01:03:01:02Poland BMR0.00.000023,59552_0_N_19_22_E
1,065A*01:04NBulgaria0.00005542_0_N_23_0_E
1,066A*01:04NChina North Han0.000010539_54_N_116_24_E
1,067A*01:04NCzech Republic0.000010650_0_N_14_0_E
1,068A*01:04NItaly Bergamo0.00.000010145_42_N_9_40_E
1,069A*01:04NItaly North pop 30.00.00009743_0_N_12_0_E
1,070A*01:04NMorocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,071A*01:04NNetherlands Leiden0.00001,30552_9_N_4_31_E
1,072A*01:04Poland BMR0.00.000023,59552_0_N_19_22_E
1,073A*01:04NSouth Korea pop 30.000048537_33_N_126_59_E
1,074A*01:04NUSA African American Bethesda0.00.000018738_0_N_78_0_W
1,075A*01:04NUSA Alaska Yupik0.000025260_48_N_161_26_W
1,076A*01:04NUSA Caucasian Bethesda0.00.000030738_0_N_78_0_W
1,077A*01:04NUSA San Antonio Caucasian0.000022229_23_N_98_33_W
1,078A*01:04NUSA South Texas Hispanic0.000019429_0_N_98_0_W
1,079A*01:06Bulgaria0.00005542_0_N_23_0_E
1,080A*01:06China North Han0.000010539_54_N_116_24_E
1,081A*01:06China Tibet Region Tibetan0.000015829_39_N_91_7_E
1,082A*01:06Czech Republic NMDR0.00015,09949_48_N_15_30_E
1,083A*01:06England North West0.30.002029853_0_N_3_0_W
1,084A*01:06Germany DKMS - German donors0.00013,456,06648_31_N_9_3_E
1,085A*01:06Germany DKMS - Turkey minority0.00014,85648_31_N_9_3_E
1,086A*01:06Germany pop 80.000139,68948_24_N_9_58_E
1,087A*01:06India Khandesh Region Pawra0.01005020_54_N_74_46_E
1,088A*01:06India Mumbai Maratha0.00009118_58_N_72_49_E
1,089A*01:06India West Bhil0.00005020_54_N_74_46_E
1,090A*01:06India West Coast Parsi0.08005018_0_N_74_0_E
1,091A*01:06Israel Arab pop 20.000412,30132_8_N_34_52_E
1,092A*01:06Israel Ashkenazi and Non Ashkenazi Jews0.004014631_8_N_35_2_E
1,093A*01:06Israel Bukhara Jews0.00012,31732_8_N_34_52_E
1,094A*01:06Israel Ethiopia Jews0.00025,92832_8_N_34_52_E
1,095A*01:06Israel Georgia Jews0.00004,47132_10_N_34_53_E
1,096A*01:06Israel Iran Jews0.00018,15332_8_N_34_52_E
1,097A*01:06Israel Iraq Jews0.000013,27032_10_N_34_52_E
1,098A*01:06Israel Kavkazi Jews0.00012,84032_10_N_34_52_E
1,099A*01:06Israel Morocco Jews0.000036,71832_10_N_34_52_E
1,100A*01:06Israel Tunisia Jews0.00009,07032_10_N_34_52_E
1,101A*01:06Israel YemenJews0.000515,54232_9_N_34_50_E
1,102A*01:06Kenya0.00301441_28_S_36_8_E
1,103A*01:06Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
1,104A*01:06Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,105A*01:06Netherlands Leiden0.00001,30552_9_N_4_31_E
1,106A*01:06Philippines Ivatan0.00.00005020_22_N_121_56_E
1,107A*01:06Poland BMR0.00.000023,59552_0_N_19_22_E
1,108A*01:06Poland DKMS0.000120,65352_8_N_19_23_E
1,109A*01:06Saudi Arabia pop 6 (G)0.000128,92723_52_N_45_4_E
1,110A*01:06South Korea pop 30.000048537_33_N_126_59_E
1,111A*01:06Taiwan Ami0.00.00009823_0_N_121_0_E
1,112A*01:06Taiwan Atayal0.00.000010624_0_N_121_0_E
1,113A*01:06Taiwan Bunun0.00.000010123_46_N_121_0_E
1,114A*01:06Taiwan Hakka0.00.00005524_0_N_121_0_E
1,115A*01:06Taiwan Minnan pop 10.00.000010224_0_N_121_0_E
1,116A*01:06Taiwan Paiwan0.00.00005123_0_N_121_0_E
1,117A*01:06Taiwan Pazeh0.00.00005525_0_N_121_30_E
1,118A*01:06Taiwan Puyuma0.00.00005023_0_N_121_0_E
1,119A*01:06Taiwan Rukai0.00.00005023_0_N_121_0_E
1,120A*01:06Taiwan Saisiat0.00.00005124_0_N_121_0_E
1,121A*01:06Taiwan Siraya0.00.00005124_0_N_121_0_E
1,122A*01:06Taiwan Tao0.00.00005024_0_N_121_0_E
1,123A*01:06Taiwan Taroko0.00.00005524_0_N_121_0_E
1,124A*01:06Taiwan Thao0.00.00003024_0_N_121_0_E
1,125A*01:06Taiwan Tsou0.00.00005124_0_N_121_0_E
1,126A*01:06USA African American Bethesda0.00.000018738_0_N_78_0_W
1,127A*01:06USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
1,128A*01:06USA NMDP African0.000028,55738_45_N_76_6_W
1,129A*01:06USA NMDP African American pop 20.0000416,58138_45_N_76_6_W
1,130A*01:06USA NMDP Caribean Hispanic0.0000115,37438_45_N_76_6_W
1,131A*01:06USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
1,132A*01:06USA NMDP Hawaiian or other Pacific Islander0.000011,49938_45_N_76_6_W
1,133A*01:06USA NMDP Hispanic South or Central American0.0000146,71438_45_N_76_6_W
1,134A*01:06USA NMDP Korean0.000077,58438_45_N_76_6_W
1,135A*01:06USA NMDP Mexican or Chicano0.0000261,23538_45_N_76_6_W
1,136A*01:06USA NMDP Middle Eastern or North Coast of Africa0.000170,89038_45_N_76_6_W
1,137A*01:06USA NMDP North American Amerindian0.000035,79138_45_N_76_6_W
1,138A*01:06USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
1,139A*01:06USA San Antonio Caucasian0.000022229_23_N_98_33_W
1,140A*01:06USA South Texas Hispanic0.000019429_0_N_98_0_W
1,141A*01:07Bulgaria0.00005542_0_N_23_0_E
1,142A*01:07China North Han0.000010539_54_N_116_24_E
1,143A*01:07China Tibet Region Tibetan0.000015829_39_N_91_7_E
1,144A*01:07Israel Bukhara Jews0.00012,31732_8_N_34_52_E
1,145A*01:07Israel Ethiopia Jews0.00025,92832_8_N_34_52_E
1,146A*01:07Israel Georgia Jews0.00004,47132_10_N_34_53_E
1,147A*01:07Israel Kavkazi Jews0.00012,84032_10_N_34_52_E
1,148A*01:07Israel Tunisia Jews0.00009,07032_10_N_34_52_E
1,149A*01:07Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
1,150A*01:07Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,151A*01:07Netherlands Leiden0.00001,30552_9_N_4_31_E
1,152A*01:07South Korea pop 30.000048537_33_N_126_59_E
1,153A*01:07USA African American Bethesda0.00.000018738_0_N_78_0_W
1,154A*01:07USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
1,155A*01:07USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
1,156A*01:07USA San Antonio Caucasian0.000022229_23_N_98_33_W
1,157A*01:07USA South Texas Hispanic0.000019429_0_N_98_0_W
1,158A*01:08Bulgaria0.00005542_0_N_23_0_E
1,159A*01:08China North Han0.000010539_54_N_116_24_E
1,160A*01:08China Tibet Region Tibetan0.000015829_39_N_91_7_E
1,161A*01:08Israel Iraq Jews0.000013,27032_10_N_34_52_E
1,162A*01:08Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
1,163A*01:08Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,164A*01:08Netherlands Leiden0.00001,30552_9_N_4_31_E
1,165A*01:08South Korea pop 30.000048537_33_N_126_59_E
1,166A*01:08Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.00.00014,33541_22_N_2_11_E
1,167A*01:08USA African American Bethesda0.00.000018738_0_N_78_0_W
1,168A*01:08USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
1,169A*01:08USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
1,170A*01:08USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
1,171A*01:08USA San Antonio Caucasian0.000022229_23_N_98_33_W
1,172A*01:08USA South Texas Hispanic0.000019429_0_N_98_0_W
1,173A*01:09Bulgaria0.00005542_0_N_23_0_E
1,174A*01:09China North Han0.000010539_54_N_116_24_E
1,175A*01:09China Tibet Region Tibetan0.000015829_39_N_91_7_E
1,176A*01:09Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,177A*01:09Israel Iraq Jews0.000013,27032_10_N_34_52_E
1,178A*01:09Kenya, Nyanza Province, Luo tribe1.00.00501000_5_S_34_46_E
1,179A*01:09Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,180A*01:09Netherlands Leiden0.00001,30552_9_N_4_31_E
1,181A*01:09Saudi Arabia pop 6 (G)0.000028,92723_52_N_45_4_E
1,182A*01:09Switzerland Aargau-Solothurn0.00001,83846_48_N_8_13_E
1,183A*01:09Switzerland Basel0.00001,88847_33_N_7_34_E
1,184A*01:09Switzerland Bern0.00003,54546_57_N_7_27_E
1,185A*01:09Switzerland Geneva pop 20.00001,26746_12_N_6_8_E
1,186A*01:09Switzerland Graubunden0.004075946_42_N_9_57_E
1,187A*01:09Switzerland Lausanne0.000099346_31_N_6_39_E
1,188A*01:09Switzerland Lugano0.00001,16946_0_N_8_55_E
1,189A*01:09Switzerland Luzern0.00001,55347_3_N_8_18_E
1,190A*01:09Switzerland Sion0.000083246_15_N_7_23_E
1,191A*01:09Switzerland St Gallen0.00002,11347_26_N_9_21_E
1,192A*01:09Switzerland Zurich0.00004,87547_22_N_8_32_E
1,193A*01:09Tanzania Maasai2.70.01343363_11_S_37_4_E
1,194A*01:09Uganda Kampala pop 20.00301750_20_N_32_30_E
1,195A*01:09USA African American Bethesda0.00.000018738_0_N_78_0_W
1,196A*01:09USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
1,197A*01:09USA NMDP African0.000128,55738_45_N_76_6_W
1,198A*01:09USA NMDP African American pop 20.0000416,58138_45_N_76_6_W
1,199A*01:09USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
1,200A*01:09USA San Antonio Caucasian0.000022229_23_N_98_33_W
1,201A*01:10China North Han0.000010539_54_N_116_24_E
1,202A*01:10China Tibet Region Tibetan0.000015829_39_N_91_7_E
1,203A*01:10Israel Ashkenazi Jews pop 30.00034,62532_8_N_34_52_E
1,204A*01:10Israel Bukhara Jews0.00012,31732_8_N_34_52_E
1,205A*01:10Israel Georgia Jews0.00014,47132_10_N_34_53_E
1,206A*01:10Israel Iraq Jews0.000013,27032_10_N_34_52_E
1,207A*01:10Israel Tunisia Jews0.00009,07032_10_N_34_52_E
1,208A*01:10Israel YemenJews0.000115,54232_9_N_34_50_E
1,209A*01:10Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,210A*01:10Netherlands Leiden0.00001,30552_9_N_4_31_E
1,211A*01:10USA African American Bethesda0.00.000018738_0_N_78_0_W
1,212A*01:10USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
1,213A*01:10USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
1,214A*01:11NChina North Han0.000010539_54_N_116_24_E
1,215A*01:11NChina Tibet Region Tibetan0.000015829_39_N_91_7_E
1,216A*01:11NMorocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,217A*01:11NNetherlands Leiden0.00001,30552_9_N_4_31_E
1,218A*01:11NSwitzerland Aargau-Solothurn0.00001,83846_48_N_8_13_E
1,219A*01:11NSwitzerland Basel0.00001,88847_33_N_7_34_E
1,220A*01:11NSwitzerland Bern0.00003,54546_57_N_7_27_E
1,221A*01:11NSwitzerland Geneva pop 20.00001,26746_12_N_6_8_E
1,222A*01:11NSwitzerland Graubunden0.004075946_42_N_9_57_E
1,223A*01:11NSwitzerland Lausanne0.000099346_31_N_6_39_E
1,224A*01:11NSwitzerland Lugano0.00001,16946_0_N_8_55_E
1,225A*01:11NSwitzerland Luzern0.00001,55347_3_N_8_18_E
1,226A*01:11NSwitzerland Sion0.000083246_15_N_7_23_E
1,227A*01:11NSwitzerland St Gallen0.00002,11347_26_N_9_21_E
1,228A*01:11NSwitzerland Zurich0.00004,87547_22_N_8_32_E
1,229A*01:12China North Han0.000010539_54_N_116_24_E
1,230A*01:12China Tibet Region Tibetan0.000015829_39_N_91_7_E
1,231A*01:12Israel Bukhara Jews0.00012,31732_8_N_34_52_E
1,232A*01:12Israel Georgia Jews0.00014,47132_10_N_34_53_E
1,233A*01:12Israel Iraq Jews0.000013,27032_10_N_34_52_E
1,234A*01:12Israel Tunisia Jews0.00009,07032_10_N_34_52_E
1,235A*01:12Israel YemenJews0.000115,54232_9_N_34_50_E
1,236A*01:12Malaysia Peninsular Indian0.40.00182713_9_N_101_57_E
1,237A*01:12Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,238A*01:12Netherlands Leiden0.00001,30552_9_N_4_31_E
1,239A*01:12USA NMDP African American pop 20.0000416,58138_45_N_76_6_W
1,240A*01:12USA NMDP South Asian Indian0.0000185,39138_45_N_76_6_W
1,241A*01:12USA NMDP Southeast Asian0.000027,97838_45_N_76_6_W
1,242A*01:12USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
1,243A*01:13China North Han0.000010539_54_N_116_24_E
1,244A*01:13China Tibet Region Tibetan0.000015829_39_N_91_7_E
1,245A*01:13Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,246A*01:13Germany pop 80.000039,68948_24_N_9_58_E
1,247A*01:13Israel Bukhara Jews0.00012,31732_8_N_34_52_E
1,248A*01:13Israel Georgia Jews0.00014,47132_10_N_34_53_E
1,249A*01:13Israel Iraq Jews0.000013,27032_10_N_34_52_E
1,250A*01:13Israel Tunisia Jews0.00009,07032_10_N_34_52_E
1,251A*01:13Israel YemenJews0.000115,54232_9_N_34_50_E
1,252A*01:13Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,253A*01:13Netherlands Leiden0.00001,30552_9_N_4_31_E
1,254A*01:13USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
1,255A*01:13USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
1,256A*01:14Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,257A*01:14Germany pop 80.000139,68948_24_N_9_58_E
1,258A*01:14Israel Bukhara Jews0.00012,31732_8_N_34_52_E
1,259A*01:14Israel Ethiopia Jews0.00025,92832_8_N_34_52_E
1,260A*01:14Israel Georgia Jews0.00004,47132_10_N_34_53_E
1,261A*01:14Israel Kavkazi Jews0.00012,84032_10_N_34_52_E
1,262A*01:14Israel Tunisia Jews0.00009,07032_10_N_34_52_E
1,263A*01:14Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,264A*01:14Netherlands Leiden0.00001,30552_9_N_4_31_E
1,265A*01:14USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
1,266A*01:14USA NMDP Mexican or Chicano0.0000261,23538_45_N_76_6_W
1,267A*01:14USA NMDP Southeast Asian0.000027,97838_45_N_76_6_W
1,268A*01:15NGermany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,269A*01:15NMorocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,270A*01:15NNetherlands Leiden0.00001,30552_9_N_4_31_E
1,271A*01:15NUSA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
1,272A*01:16NMorocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,273A*01:16NNetherlands Leiden0.00001,30552_9_N_4_31_E
1,274A*01:16NSwitzerland Aargau-Solothurn0.00001,83846_48_N_8_13_E
1,275A*01:16NSwitzerland Basel0.00001,88847_33_N_7_34_E
1,276A*01:16NSwitzerland Bern0.00003,54546_57_N_7_27_E
1,277A*01:16NSwitzerland Geneva pop 20.00001,26746_12_N_6_8_E
1,278A*01:16NSwitzerland Graubunden0.004075946_42_N_9_57_E
1,279A*01:16NSwitzerland Lausanne0.000099346_31_N_6_39_E
1,280A*01:16NSwitzerland Lugano0.00001,16946_0_N_8_55_E
1,281A*01:16NSwitzerland Luzern0.00001,55347_3_N_8_18_E
1,282A*01:16NSwitzerland Sion0.000083246_15_N_7_23_E
1,283A*01:16NSwitzerland St Gallen0.00002,11347_26_N_9_21_E
1,284A*01:16NSwitzerland Zurich0.00004,87547_22_N_8_32_E
1,285A*01:16NUSA African American pop 40.00002,41144_58_N_93_15_W
1,286A*01:16NUSA Asian pop 20.00001,77244_58_N_93_15_W
1,287A*01:16NUSA Hispanic pop 20.00001,99944_58_N_93_15_W
1,288A*01:17Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,289A*01:17Israel Arab pop 20.000312,30132_8_N_34_52_E
1,290A*01:17Israel Argentina Jews0.00064,30732_8_N_34_52_E
1,291A*01:17Israel Ashkenazi Jews pop 30.01264,62532_8_N_34_52_E
1,292A*01:17Israel Bukhara Jews0.01172,31732_8_N_34_52_E
1,293A*01:17Israel Druze0.00035,91432_41_N_35_17_E
1,294A*01:17Israel Ethiopia Jews0.00145,92832_8_N_34_52_E
1,295A*01:17Israel Georgia Jews0.01004,47132_10_N_34_53_E
1,296A*01:17Israel Iran Jews0.00318,15332_8_N_34_52_E
1,297A*01:17Israel Iraq Jews0.009013,27032_10_N_34_52_E
1,298A*01:17Israel Kavkazi Jews0.00372,84032_10_N_34_52_E
1,299A*01:17Israel Libya Jews0.00293,73932_10_N_34_52_E
1,300A*01:17Israel Morocco Jews0.003136,71832_10_N_34_52_E
1,301A*01:17Israel Poland Jews0.001313,87132_10_N_34_52_E
1,302A*01:17Israel Tunisia Jews0.00329,07032_10_N_34_52_E
1,303A*01:17Israel USA Jews0.00056,05832_10_N_34_52_E
1,304A*01:17Israel USSR Jews0.000845,68132_9_N_34_50_E
1,305A*01:17Israel YemenJews0.008615,54232_9_N_34_50_E
1,306A*01:17Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,307A*01:17Netherlands Leiden0.00001,30552_9_N_4_31_E
1,308A*01:17USA NMDP African American pop 20.0000416,58138_45_N_76_6_W
1,309A*01:17USA NMDP Caribean Hispanic0.0000115,37438_45_N_76_6_W
1,310A*01:17USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
1,311A*01:17USA NMDP Mexican or Chicano0.0000261,23538_45_N_76_6_W
1,312A*01:18NMorocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,313A*01:18NNetherlands Leiden0.00001,30552_9_N_4_31_E
1,314A*01:18NSwitzerland Aargau-Solothurn0.00001,83846_48_N_8_13_E
1,315A*01:18NSwitzerland Basel0.00001,88847_33_N_7_34_E
1,316A*01:18NSwitzerland Bern0.00003,54546_57_N_7_27_E
1,317A*01:18NSwitzerland Geneva pop 20.00001,26746_12_N_6_8_E
1,318A*01:18NSwitzerland Graubunden0.004075946_42_N_9_57_E
1,319A*01:18NSwitzerland Lausanne0.000099346_31_N_6_39_E
1,320A*01:18NSwitzerland Lugano0.00001,16946_0_N_8_55_E
1,321A*01:18NSwitzerland Luzern0.00001,55347_3_N_8_18_E
1,322A*01:18NSwitzerland Sion0.000083246_15_N_7_23_E
1,323A*01:18NSwitzerland St Gallen0.00002,11347_26_N_9_21_E
1,324A*01:18NSwitzerland Zurich0.00004,87547_22_N_8_32_E
1,325A*01:19Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,326A*01:19Netherlands Leiden0.00001,30552_9_N_4_31_E
1,327A*01:19USA NMDP African American pop 20.0000416,58138_45_N_76_6_W
1,328A*01:19USA NMDP Southeast Asian0.000027,97838_45_N_76_6_W
1,329A*01:20Israel Iraq Jews0.000013,27032_10_N_34_52_E
1,330A*01:20Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,331A*01:20Netherlands Leiden0.00001,30552_9_N_4_31_E
1,332A*01:20USA NMDP Hispanic South or Central American0.0000146,71438_45_N_76_6_W
1,333A*01:20USA NMDP Middle Eastern or North Coast of Africa0.000070,89038_45_N_76_6_W
1,334A*01:21Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,335A*01:21Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,336A*01:21Netherlands Leiden0.00001,30552_9_N_4_31_E
1,337A*01:22NMorocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,338A*01:22NNetherlands Leiden0.00001,30552_9_N_4_31_E
1,339A*01:23Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,340A*01:23Israel Iran Jews0.00008,15332_8_N_34_52_E
1,341A*01:23Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,342A*01:23Netherlands Leiden0.00001,30552_9_N_4_31_E
1,343A*01:23Saudi Arabia pop 6 (G)0.000128,92723_52_N_45_4_E
1,344A*01:23South Africa Worcester3.00.016015933_39_S_19_27_E
1,345A*01:23Uganda Kampala pop 20.00301750_20_N_32_30_E
1,346A*01:23USA NMDP African0.000028,55738_45_N_76_6_W
1,347A*01:23USA NMDP African American pop 20.0000416,58138_45_N_76_6_W
1,348A*01:23USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
1,349A*01:23USA NMDP South Asian Indian0.0000185,39138_45_N_76_6_W
1,350A*01:24Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,351A*01:24Netherlands Leiden0.00001,30552_9_N_4_31_E
1,352A*01:24USA NMDP Caribean Hispanic0.0000115,37438_45_N_76_6_W
1,353A*01:24USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
1,354A*01:24USA NMDP Hispanic South or Central American0.0000146,71438_45_N_76_6_W
1,355A*01:24USA NMDP Mexican or Chicano0.0000261,23538_45_N_76_6_W
1,356A*01:25Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,357A*01:25Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,358A*01:25Netherlands Leiden0.00001,30552_9_N_4_31_E
1,359A*01:25Switzerland Aargau-Solothurn0.00001,83846_48_N_8_13_E
1,360A*01:25Switzerland Basel0.00001,88847_33_N_7_34_E
1,361A*01:25Switzerland Bern0.00003,54546_57_N_7_27_E
1,362A*01:25Switzerland Geneva pop 20.00001,26746_12_N_6_8_E
1,363A*01:25Switzerland Graubunden0.004075946_42_N_9_57_E
1,364A*01:25Switzerland Lausanne0.000099346_31_N_6_39_E
1,365A*01:25Switzerland Lugano0.00001,16946_0_N_8_55_E
1,366A*01:25Switzerland Luzern0.00001,55347_3_N_8_18_E
1,367A*01:25Switzerland Sion0.000083246_15_N_7_23_E
1,368A*01:25Switzerland St Gallen0.00002,11347_26_N_9_21_E
1,369A*01:25Switzerland Zurich0.00004,87547_22_N_8_32_E
1,370A*01:25USA NMDP African American pop 20.0000416,58138_45_N_76_6_W
1,371A*01:25USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
1,372A*01:25USA NMDP Hispanic South or Central American0.0000146,71438_45_N_76_6_W
1,373A*01:25USA NMDP Mexican or Chicano0.0000261,23538_45_N_76_6_W
1,374A*01:25USA NMDP Middle Eastern or North Coast of Africa0.000070,89038_45_N_76_6_W
1,375A*01:25USA NMDP North American Amerindian0.000035,79138_45_N_76_6_W
1,376A*01:26Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,377A*01:26Germany pop 80.000039,68948_24_N_9_58_E
1,378A*01:26Malaysia Peninsular Indian0.70.00372713_9_N_101_57_E
1,379A*01:26Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,380A*01:26Netherlands Leiden0.00001,30552_9_N_4_31_E
1,381A*01:26USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
1,382A*01:27NMorocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,383A*01:27NNetherlands Leiden0.00001,30552_9_N_4_31_E
1,384A*01:27NUSA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
1,385A*01:28Israel Iran Jews0.00008,15332_8_N_34_52_E
1,386A*01:28Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,387A*01:28Netherlands Leiden0.00001,30552_9_N_4_31_E
1,388A*01:28Russia Bashkortostan, Tatars0.50.002619254_13_N_56_9_E
1,389A*01:28USA NMDP Middle Eastern or North Coast of Africa0.000070,89038_45_N_76_6_W
1,390A*01:29Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,391A*01:29Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,392A*01:29Netherlands Leiden0.00001,30552_9_N_4_31_E
1,393A*01:30Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,394A*01:30Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,395A*01:30Netherlands Leiden0.00001,30552_9_N_4_31_E
1,396A*01:30USA NMDP Middle Eastern or North Coast of Africa0.000070,89038_45_N_76_6_W
1,397A*01:31NMorocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,398A*01:31NNetherlands Leiden0.00001,30552_9_N_4_31_E
1,399A*01:32Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,400A*01:32Netherlands Leiden0.00001,30552_9_N_4_31_E
1,401A*01:33Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,402A*01:33Netherlands Leiden0.00001,30552_9_N_4_31_E
1,403A*01:33USA NMDP South Asian Indian0.0000185,39138_45_N_76_6_W
1,404A*01:35Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,405A*01:35Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,406A*01:36Israel Arab pop 20.000312,30132_8_N_34_52_E
1,407A*01:36Israel Argentina Jews0.00054,30732_8_N_34_52_E
1,408A*01:36Israel Ashkenazi Jews pop 30.01264,62532_8_N_34_52_E
1,409A*01:36Israel Bukhara Jews0.01172,31732_8_N_34_52_E
1,410A*01:36Israel Druze0.00035,91432_41_N_35_17_E
1,411A*01:36Israel Ethiopia Jews0.00145,92832_8_N_34_52_E
1,412A*01:36Israel Georgia Jews0.00934,47132_10_N_34_53_E
1,413A*01:36Israel Iran Jews0.00318,15332_8_N_34_52_E
1,414A*01:36Israel Iraq Jews0.009013,27032_10_N_34_52_E
1,415A*01:36Israel Kavkazi Jews0.00372,84032_10_N_34_52_E
1,416A*01:36Israel Libya Jews0.00283,73932_10_N_34_52_E
1,417A*01:36Israel Morocco Jews0.003136,71832_10_N_34_52_E
1,418A*01:36Israel Poland Jews0.001313,87132_10_N_34_52_E
1,419A*01:36Israel Tunisia Jews0.00329,07032_10_N_34_52_E
1,420A*01:36Israel USA Jews0.00056,05832_10_N_34_52_E
1,421A*01:36Israel USSR Jews0.000845,68132_9_N_34_50_E
1,422A*01:36Israel YemenJews0.008315,54232_9_N_34_50_E
1,423A*01:36Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,424A*01:37Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,425A*01:37Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.00.00014,33541_22_N_2_11_E
1,426A*01:38Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,427A*01:38Germany DKMS - Turkey minority0.00014,85648_31_N_9_3_E
1,428A*01:38Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,429A*01:39Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,430A*01:39Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,431A*01:39Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.00.00014,33541_22_N_2_11_E
1,432A*01:40Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,433A*01:40Germany pop 80.000039,68948_24_N_9_58_E
1,434A*01:40Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,435A*01:41Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,436A*01:41Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,437A*01:42Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,438A*01:42Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,439A*01:43Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,440A*01:43Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,441A*01:43USA NMDP South Asian Indian0.0000185,39138_45_N_76_6_W
1,442A*01:44Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,443A*01:44Germany DKMS - Turkey minority0.00014,85648_31_N_9_3_E
1,444A*01:44Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,445A*01:44USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
1,446A*01:45Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,447A*01:46Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,448A*01:47Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,449A*01:48Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,450A*01:49Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,451A*01:49Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,452A*01:50Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,453A*01:51Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,454A*01:51Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
1,455A*01:57NGermany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,456A*01:61Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,457A*01:65Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,458A*01:66Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,459A*01:66USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
1,460A*01:67Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,461A*01:68Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,462A*01:69Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,463A*01:72Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,464A*01:76Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,465A*01:77Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,466A*01:83Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,467A*01:85Poland BMR0.00.000023,59552_0_N_19_22_E
1,468A*01:86Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,469A*01:86Israel Tunisia Jews0.00019,07032_10_N_34_52_E
1,470A*01:88Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,471A*01:89Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,472A*01:91Saudi Arabia pop 6 (G)0.000028,92723_52_N_45_4_E
1,473A*01:95Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,474A*01:98Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,475A*01:99Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,476A*01:100Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,477A*01:101Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,478A*01:106Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,479A*01:106Saudi Arabia pop 6 (G)0.000028,92723_52_N_45_4_E
1,480A*01:109Poland BMR0.00.000023,59552_0_N_19_22_E
1,481A*01:113Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,482A*01:115Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,483A*01:117Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,484A*01:118Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,485A*01:123NGermany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,486A*01:124Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,487A*01:126Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,488A*01:128Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,489A*01:134Russian Federation Vologda Region0.80.004211959_13_N_39_54_E
1,490A*01:136Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,491A*01:136India Tamil Nadu0.00052,49211_32_N_78_52_E
1,492A*01:144Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,493A*01:157Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,494A*01:167Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,495A*01:170Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,496A*01:173Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,497A*01:184Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,498A*01:190Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,499A*01:191Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,500A*01:196Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,501A*01:198Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,502A*01:202Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,503A*01:208QGermany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,504A*01:211Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,505A*01:218Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,506A*01:219Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,507A*01:220Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,508A*01:223Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,509A*01:225Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,510A*01:227Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,511A*01:228QGermany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,512A*01:229Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,513A*01:229Poland BMR0.00.000023,59552_0_N_19_22_E
1,514A*01:231Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,515A*01:232Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,516A*01:247NGermany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,517A*01:257Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,518A*01:258NGermany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,519A*01:259Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,520A*01:260Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,521A*01:284Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
1,522A*02Albania0.306016041_0_N_20_0_E
1,523A*02Albania pop 256.30.327543241_9_N_20_10_E
1,524A*02Albanian Kosovo0.325012041_50_N_20_1_E
1,525A*02Algeria pop 243.010636_42_N_3_13_E
1,526A*02Argentina Buenos Aires45.10.260046634_38_S_58_28_W
1,527A*02Argentina Buenos Aires pop 247.20.25801,21634_36_S_58_22_W
1,528A*02Argentina Chiriguano45.30.26405423_8_S_64_20_W
1,529A*02Argentina Corrientes44.50.264015527_30_S_58_49_W
1,530A*02Argentina Cuyo Region43.20.247042032_53_S_68_49_W
1,531A*02Argentina La Plata47.00.270010034_55_S_57_57_W
1,532A*02Argentina Rosario Toba45.30.28508632_57_S_60_39_W
1,533A*02Argentina Salta Wichi pop 247.40.28901923_8_S_64_20_W
1,534A*02Armenia Ghegharkunik0.188024240_11_N_44_31_E
1,535A*02Armenia living in Iran0.18808540_11_N_44_31_E
1,536A*02Armenia living in Karabakh0.193044540_11_N_44_31_E
1,537A*02Armenia living in Lebanon0.185036840_11_N_44_31_E
1,538A*02Armenia living in USA0.200023340_11_N_44_31_E
1,539A*02Armenia Lori0.167010240_11_N_44_31_E
1,540A*02Armenia Shirak0.25007640_11_N_44_31_E
1,541A*02Armenia Syunik0.188011740_11_N_44_31_E
1,542A*02Armenia Yerevan0.180044540_11_N_44_31_E
1,543A*02Australia West Caucasian46.50.268089131_5_S_115_5_E
1,544A*02Austria49.50.312020048_13_N_16_21_E
1,545A*02Austria Cord Bloods0.29961,36847_4_N_15_26_E
1,546A*02Azores0.27201,05037_44_N_25_40_W
1,547A*02Azores Terceira Island0.303013038_44_N_27_19_W
1,548A*02Bangladesh Dhaka Bangalee0.145014123_42_N_90_22_E
1,549A*02Bolivia La Paz Aymaras0.60308716_29_S_68_7_W
1,550A*02Bolivia Quechua0.50726916_30_S_68_9_W
1,551A*02Bosnia and Herzegovina0.347013443_52_N_18_25_E
1,552A*02Bosnia and Herzegovina pop 261.70.375012044_32_N_18_41_E
1,553A*02Brazil Paraná Caucasian47.70.278564123_25_S_51_55_W
1,554A*02Brazil Curitiba-Parana Mixed0.241826425_25_S_49_16_W
1,555A*02Brazil Minas Gerais State Mixed41.60.23601,00019_49_S_43_57_W
1,556A*02Brazil Para Cord Blood Unit47.90.27178416_0_S_52_0_W
1,557A*02Brazil Para State42.80.23805,0006_0_S_52_0_W
1,558A*02Brazil Parana Afro Brazilian32.50.16207725_0_S_49_0_W
1,559A*02Brazil Parana Cafuzo40.40.202031925_0_S_49_0_W
1,560A*02Brazil Parana Caucasian46.50.23202,77525_0_S_49_0_W
1,561A*02Brazil Parana Japanese47.00.270819222_29_S_48_2_W
1,562A*02Brazil Parana Mixed race45.70.228018625_0_S_49_0_W
1,563A*02Brazil Parana Oriental36.40.18203325_0_S_49_0_W
1,564A*02Brazil Pernambuco Mixed0.28701018_3_S_34_54_W
1,565A*02Brazil Piaui Mixed0.255021,9432_44_S_40_25_W
1,566A*02Brazil REDOME Acre0.23408599_11_S_70_52_W
1,567A*02Brazil REDOME Alagoas0.250525,3499_57_S_36_55_W
1,568A*02Brazil REDOME Amapa0.255017,8641_0_N_52_0_W
1,569A*02Brazil REDOME Amazonas0.270024,1295_0_S_63_0_W
1,570A*02Brazil REDOME Bahia0.236747,39912_31_S_41_41_W
1,571A*02Brazil REDOME Ceara0.2595101,2175_5_S_39_39_W
1,572A*02Brazil REDOME Espirito Santo0.253588,48520_19_S_40_20_W
1,573A*02Brazil REDOME Federal District0.260429,54915_46_S_47_56_W
1,574A*02Brazil REDOME Goias0.261688,57415_56_S_50_8_W
1,575A*02Brazil REDOME Maranhao0.252610,1802_31_S_44_18_W
1,576A*02Brazil REDOME Mato Grosso0.256034,64915_35_S_56_4_W
1,577A*02Brazil REDOME Mato Grosso do Sul0.253395,66720_26_S_54_38_W
1,578A*02Brazil REDOME Minas Gerais0.2589211,27519_49_S_43_57_W
1,579A*02Brazil REDOME Para0.257672,6375_40_S_52_44_W
1,580A*02Brazil REDOME Paraiba0.256243,8687_10_S_36_50_W
1,581A*02Brazil REDOME Parana0.2666341,63924_0_S_51_0_W
1,582A*02Brazil REDOME Pernambuco0.249792,3328_20_S_48_48_W
1,583A*02Brazil REDOME Piaui0.256346,1408_14_S_43_6_W
1,584A*02Brazil REDOME Rio de Janeiro0.2482139,32222_54_S_43_11_W
1,585A*02Brazil REDOME Rio Grande do Norte0.254646,6035_44_S_36_33_W
1,586A*02Brazil REDOME Rio Grande do Sul0.2745241,32930_0_S_53_0_W
1,587A*02Brazil REDOME Rondonia0.254854,39610_54_S_62_46_W
1,588A*02Brazil REDOME Roraima0.27504,1402_3_N_61_24_W
1,589A*02Brazil REDOME Santa Catarina0.2804106,67327_15_S_50_20_W
1,590A*02Brazil REDOME Sao Paulo0.2563800,80923_33_S_46_38_W
1,591A*02Brazil REDOME Sergipe0.24717,32110_35_S_37_23_W
1,592A*02Brazil REDOME Tocantins0.255120,69210_11_S_48_20_W
1,593A*02Brazil Rio Grande do Norte Mestizo0.254012,9735_47_S_35_12_W
1,594A*02Brazil Rio Grande do Sul Black0.223024830_0_S_53_0_W
1,595A*02Brazil Rio Grande do Sul Caucasoid0.28204,42830_0_S_53_0_W
1,596A*02Brazil Rio Grande do Sul Mixed0.260032430_0_S_53_0_W
1,597A*02Brazil Sao Paulo Bauru Mixed0.26303,54222_18_S_49_3_W
1,598A*02Brazil Sao Paulo Mixed47.00.272023923_0_S_48_0_W
1,599A*02Brazil South East Cord Blood0.253911,40914_14_S_51_55_W
1,600A*02Brazil South Ribeirao Preto0.217018421_11_S_47_49_W
1,601A*02Burkina Faso Mossi0.20705312_50_N_1_50_W
1,602A*02Cameroon Bakola Pygmy50.0504_3_N_9_42_E
1,603A*02Cameroon Bamileke 20.0860355_15_N_10_20_E
1,604A*02Cameroon Ewondo0.1840383_55_N_11_24_E
1,605A*02Cameroon Podokwo0.23304310_37_N_14_20_E
1,606A*02Cameroon Uldeme0.31403510_37_N_14_20_E
1,607A*02Central African Republic Mbenzele Pygmy37.0363_32_N_16_4_E
1,608A*02Chile Santiago0.266392033_26_S_70_40_W
1,609A*02China Guangdong Province51.440323_20_N_113_30_E
1,610A*02China Harbin Korean0.307020145_45_N_126_38_E
1,611A*02China Harbin Manchu0.346017245_45_N_126_38_E
1,612A*02China Jiangsu Province0.296020,24833_0_N_120_0_E
1,613A*02China North Han0.000010539_54_N_116_24_E
1,614A*02China Shaanxi Province Han0.297010,00034_0_N_109_0_E
1,615A*02China Shandong Province49.40.28807,41836_30_N_118_0_E
1,616A*02China Shandong Province Linqu County61.213936_0_N_118_0_E
1,617A*02China Shanghai0.313026,26631_12_N_121_30_E
1,618A*02China Wuhan52.90.310012130_45_N_114_15_E
1,619A*02China Yunnan Province Han pop 20.193012924_30_N_101_30_E
1,620A*02China Yunnan Province Naxi0.278011824_30_N_101_30_E
1,621A*02Colombia Barranquilla0.226018810_57_N_74_47_W
1,622A*02Colombia Jaidukama0.3080396_40_N_75_43_W
1,623A*02Colombia San Basilio de Palenque0.31004210_6_N_75_11_W
1,624A*02Colombia Wayu from Guajira Peninsula0.36464812_2_N_71_44_W
1,625A*02Croatia pop 20.319010045_0_N_15_0_E
1,626A*02Croatia pop 348.30.241712045_6_N_15_12_E
1,627A*02Cuba Mixed0.32807823_8_N_82_23_W
1,628A*02Cuba Mixed pop 20.181018923_8_N_82_23_W
1,629A*02Cuba Mixed Race35.70.22604223_8_N_82_22_W
1,630A*02Czech Republic Kurd40.50.21627449_44_N_15_19_E
1,631A*02Czech Republic Romani pop 260.90.39134649_44_N_15_19_E
1,632A*02Ecuador Amazonia Mixed Ancestry0.3846390_48_S_76_54_W
1,633A*02Ecuador Andes Mixed Ancestry0.41028241_28_S_78_49_W
1,634A*02Ecuador Coast Mixed Ancestry0.29622382_11_S_79_53_W
1,635A*02Ecuador Mixed Ancestry0.38451,1730_10_S_78_28_W
1,636A*02England Lancaster48.154554_2_N_2_48_W
1,637A*02England Leeds49.95,02453_47_N_1_32_W
1,638A*02England Liverpool47.31,34353_24_N_3_0_W
1,639A*02England London Ashkenazi Jews0.212050051_30_N_0_7_W
1,640A*02England Manchester47.31,64053_28_N_2_14_W
1,641A*02England Newcastle48.52,73954_58_N_1_36_W
1,642A*02England North West Mixed pop 241.70.209837953_28_N_2_14_W
1,643A*02England Sheffield49.14,75553_23_N_1_28_W
1,644A*02France Bordeaux51.80.265899044_50_N_0_34_W
1,645A*02France Corsica Island0.264010042_9_N_9_5_E
1,646A*02France Grenoble52.30.26491,00045_12_N_5_43_E
1,647A*02France Grenoble, Nantes and Rennes0.29106,09447_13_N_1_33_W
1,648A*02France Lyon50.50.25774,81345_45_N_4_50_E
1,649A*02France Marseille52.20.26501,00043_17_N_5_22_E
1,650A*02France Reims0.230010249_15_N_4_2_E
1,651A*02France Rennes pop 30.270020048_6_N_1_40_W
1,652A*02France Rennes pop 451.90.26331,00048_6_N_1_40_W
1,653A*02France Southeast42.30.240013046_0_N_5_0_E
1,654A*02Gaza Palestinians0.203016531_31_N_34_27_E
1,655A*02Georgia Kurds0.15503041_43_N_44_47_E
1,656A*02Germany49.911,40750_6_N_8_40_E
1,657A*02Germany Essen51.20.282017451_27_N_7_0_E
1,658A*02Ghana Accre Asutuare Akan0.20604296_5_N_0_12_E
1,659A*02Greece Crete0.255013535_0_N_25_0_E
1,660A*02Greece North0.270050040_0_N_22_0_E
1,661A*02Greece pop 70.238611,25037_58_N_23_43_E
1,662A*02Greece pop344.324637_58_N_23_43_E
1,663A*02Guatemala Mayan0.363013214_8_N_91_5_W
1,664A*02Guatemala, Guatemala City Mixed Ancestry49.60.267712714_37_N_90_31_W
1,665A*02India Bikaner Non-Raikas29.112728_1_N_73_18_E
1,666A*02India Bikaner Raikas36.114328_1_N_73_18_E
1,667A*02India Jalpaiguri Toto40.04026_30_N_88_42_E
1,668A*02India Kerala Hindu Ezhava0.2500248_48_N_76_36_E
1,669A*02India Kerala Hindu Nair0.1950418_48_N_76_36_E
1,670A*02India Kerala Hindu Namboothiri0.15004011_14_N_75_44_E
1,671A*02India Kerala Hindu Pulaya0.06301611_48_N_75_19_E
1,672A*02India Kerala Malabar Muslim0.19103411_2_N_76_3_E
1,673A*02India Kerala Syrian Christian0.1290319_35_N_76_31_E
1,674A*02India North Gujarat37.60.210133823_13_N_72_41_E
1,675A*02India North pop 30.169058728_38_N_77_9_E
1,676A*02India sub-Himalayan West Bengal Kami28.50.155115827_2_N_88_15_E
1,677A*02Iran pop 10.15606432_35_N_54_16_E
1,678A*02Iran pop 40.183085535_41_N_51_38_E
1,679A*02Iran Royan Cord Blood Bank31.315,60035_41_N_51_25_E
1,680A*02Iraq Arabs26.90.147714933_18_N_44_21_E
1,681A*02Iraq Erbil35.50.177737233_33_N_43_43_E
1,682A*02Iraq Kurdistan Region31.10.170020936_51_N_43_0_E
1,683A*02Ireland South pop 20.276217,62453_20_N_6_15_W
1,684A*02Israel Ashkenazi Jews pop 20.247013231_47_N_35_13_E
1,685A*02Israel Jews pop 233.10.182023,00032_5_N_34_48_E
1,686A*02Israel Moroccan Jews0.169011331_47_N_35_13_E
1,687A*02Italy0.2540159,31145_28_N_9_11_E
1,688A*02Italy East Sicily50.00.31005037_30_N_15_4_E
1,689A*02Italy Lombardy46.00.268067445_11_N_9_9_E
1,690A*02Italy North Pavia0.25308145_11_N_9_9_E
1,691A*02Italy North Pavia pop 245.10.26402,41645_11_N_9_9_E
1,692A*02Italy North Pavia pop 30.225568545_11_N_9_9_E
1,693A*02Italy pop 642.90.236418441_53_N_12_29_E
1,694A*02Italy Rome52.00.300010041_54_N_12_27_E
1,695A*02Italy Sardinia pop30.285010039_14_N_9_3_E
1,696A*02Italy South Campania Region43.01,08940_50_N_14_15_E
1,697A*02Japan Aichi32.60.17105035_11_N_136_54_E
1,698A*02Japan Hyogo28.10.15503234_0_N_135_0_E
1,699A*02Japan Hyogo Osaka and Nagano0.221019534_41_N_135_30_E
1,700A*02Japan Kyoto and Osaka0.227016535_1_N_135_46_E
1,701A*02Japan pop 1132.26235_41_N_139_46_E
1,702A*02Japan pop 20.235091635_41_N_139_46_E
1,703A*02Jordan0.213015,14131_57_N_35_56_E
1,704A*02Macedonia0.290228641_32_N_21_42_E
1,705A*02Macedonia MBMDR - Albanian43.80.261712841_46_N_22_19_E
1,706A*02Macedonia MBMDR - Macedonian51.30.30051,28341_46_N_22_19_E
1,707A*02Macedonia MBMDR - Macedonian Muslims56.60.32247641_46_N_22_19_E
1,708A*02Macedonia pop 30.256017242_0_N_22_0_E
1,709A*02Macedonia pop 40.322021642_0_N_21_0_E
1,710A*02Madeira pop 20.228017332_44_N_16_58_W
1,711A*02Madeira pop 30.265053832_44_N_16_58_W
1,712A*02Malaysia Negeri Sembilan Minangkabau0.1200342_43_N_101_57_E
1,713A*02Malaysia Perak and Johor Banjar Bugis Jawa0.1490944_24_N_101_5_E
1,714A*02Malaysia Perak Rawa0.1900231_29_N_103_45_E
1,715A*02Malaysia pop 20.1880623_8_N_101_42_E
1,716A*02Malaysia pop 30.15101,4453_8_N_101_42_E
1,717A*02Malaysia Sabah Kadazan0.0790575_15_N_117_0_E
1,718A*02Malaysia Sarawak Bidayuh0.1000501_25_N_110_9_E
1,719A*02Malaysia Sarawak Iban0.0880512_18_N_111_49_E
1,720A*02Martinique0.160010014_40_N_61_0_W
1,721A*02Mexico Aguascalientes state0.40009522_1_N_102_21_W
1,722A*02Mexico Baja Californa, Mexicali0.275010032_37_N_115_27_W
1,723A*02Mexico Baja California Rural0.28005027_31_N_113_40_W
1,724A*02Mexico Baja California, La Paz0.34677524_8_N_110_18_W
1,725A*02Mexico Baja California, Tijuana0.30002532_30_N_117_2_W
1,726A*02Mexico Campeche Rural0.25534718_6_N_89_48_W
1,727A*02Mexico Campeche, Campeche city0.23533419_49_N_90_32_W
1,728A*02Mexico Chiapas Rural0.301712116_47_N_92_41_W
1,729A*02Mexico Chiapas, Tuxtla Gutierrez0.36795216_45_N_93_6_W
1,730A*02Mexico Chihuahua Chihuahua City0.281511928_37_N_106_4_W
1,731A*02Mexico Chihuahua Rural0.263623627_18_N_107_53_W
1,732A*02Mexico Chihuahua, Ciudad Juarez0.342610631_41_N_106_25_W
1,733A*02Mexico Coahuila Rural0.348621626_59_N_102_3_W
1,734A*02Mexico Coahuila, Saltillo0.36307225_26_N_100_58_W
1,735A*02Mexico Coahuila, Torreon0.296339625_32_N_103_24_W
1,736A*02Mexico Colima Rural0.28414319_30_N_103_37_W
1,737A*02Mexico Colima, Colima city0.32796119_14_N_103_43_W
1,738A*02Mexico Durango Rural0.307332626_41_N_103_44_W
1,739A*02Mexico Durango, Durango city0.241915324_1_N_104_39_W
1,740A*02Mexico Guanajuato Rural0.291416220_54_N_100_44_W
1,741A*02Mexico Guanajuato, Guanajuato city0.29552221_2_N_101_15_W
1,742A*02Mexico Guanajuato, Leon0.33337821_7_N_101_41_W
1,743A*02Mexico Guerrero state0.368114417_36_N_99_57_W
1,744A*02Mexico Hidalgo Rural0.38898120_38_N_98_59_W
1,745A*02Mexico Hidalgo, Pachuca0.42684120_6_N_98_45_W
1,746A*02Mexico Huasteca Region Teenek0.39805522_1_N_100_9_W
1,747A*02Mexico Jalisco Rural0.287558520_52_N_103_50_W
1,748A*02Mexico Jalisco, Guadalajara city0.27681,18920_39_N_103_20_W
1,749A*02Mexico Jalisco, Tlajomulco0.31673020_28_N_103_26_W
1,750A*02Mexico Jalisco, Tlaquepaque0.35903920_37_N_103_19_W
1,751A*02Mexico Jalisco, Tonala0.30003520_37_N_103_14_W
1,752A*02Mexico Jalisco, Zapopan0.288716820_40_N_103_24_W
1,753A*02Mexico Mestizo65.80.40204119_24_N_99_9_W
1,754A*02Mexico Mestizo pop 40.308626919_26_N_99_8_W
1,755A*02Mexico Mexico City Center0.308415219_25_N_99_7_W
1,756A*02Mexico Mexico City East0.40637919_17_N_99_2_W
1,757A*02Mexico Mexico City Mestizo0.322012119_25_N_99_8_W
1,758A*02Mexico Mexico City Mestizo pop 30.305025619_25_N_99_8_W
1,759A*02Mexico Mexico City Metropolitan Area Rural0.309215019_7_N_98_45_W
1,760A*02Mexico Mexico City North0.497375119_29_N_99_7_W
1,761A*02Mexico Mexico City South0.38465219_18_N_99_12_W
1,762A*02Mexico Mexico City West0.22733319_21_N_99_17_W
1,763A*02Mexico Michoacan Rural0.300934819_38_N_101_38_W
1,764A*02Mexico Michoacan Tarasco58.40.353013019_46_N_101_11_W
1,765A*02Mexico Michoacan, Morelia0.291415019_42_N_101_11_W
1,766A*02Mexico Morelos Rural0.16673018_57_N_98_58_W
1,767A*02Mexico Morelos, Cuernavaca0.42078218_55_N_99_13_W
1,768A*02Mexico Nayarit Rural0.23446420_45_N_105_20_W
1,769A*02Mexico Nayarit, Tepic0.27329721_30_N_104_53_W
1,770A*02Mexico Nuevo Leon Rural0.345543925_37_N_100_14_W
1,771A*02Mexico Nuevo Leon, Monterrey city0.347322625_41_N_100_18_W
1,772A*02Mexico Oaxaca Rural0.367648515_49_N_96_19_W
1,773A*02Mexico Oaxaca, Oaxaca city0.463615117_4_N_96_43_W
1,774A*02Mexico Puebla Mestizo0.33309919_3_N_98_12_W
1,775A*02Mexico Puebla Rural0.347783319_57_N_97_38_W
1,776A*02Mexico Puebla, Puebla city0.36421,99419_2_N_98_12_W
1,777A*02Mexico Queretaro Rural0.31404320_35_N_100_23_W
1,778A*02Mexico Queretaro, Queretaro city0.33334520_34_N_100_22_W
1,779A*02Mexico Quintana Roo Rural0.19005020_12_N_87_25_W
1,780A*02Mexico Quintana Roo, Cancun0.27084821_9_N_86_51_W
1,781A*02Mexico San Luis Potosi Rural0.36218721_20_N_98_58_W
1,782A*02Mexico San Luis Potosi, San Luis Potosi city0.20003022_9_N_100_59_W
1,783A*02Mexico San Vicente Tancuayalab Teenek/Huastecos0.39625321_43_N_98_35_W
1,784A*02Mexico Sinaloa Capomos Mayo Yoremes0.44176026_25_N_108_30_W
1,785A*02Mexico Sinaloa Mestizo0.27705624_48_N_107_10_W
1,786A*02Mexico Sinaloa Rural0.319718325_21_N_107_33_W
1,787A*02Mexico Sinaloa, Culiacán0.315510324_48_N_107_23_W
1,788A*02Mexico Sonora Rural0.375619732_15_N_114_30_W
1,789A*02Mexico Sonora, Ciudad Obregón0.300714327_28_N_109_55_W
1,790A*02Mexico Sonora, Hermosillo0.32329929_4_N_110_57_W
1,791A*02Mexico Tabasco Rural0.313414218_23_N_93_12_W
1,792A*02Mexico Tabasco, Villahermosa0.28058217_59_N_92_56_W
1,793A*02Mexico Tamaulipas Rural0.297612522_23_N_97_56_W
1,794A*02Mexico Tamaulipas, Ciudad Victoria0.43482323_44_N_99_8_W
1,795A*02Mexico Tapachula, Chiapas Mestizo Population47.20.26397214_54_N_92_15_W
1,796A*02Mexico Tlaxcala Rural0.416983019_14_N_98_20_W
1,797A*02Mexico Tlaxcala, Tlaxcala city0.370218119_18_N_98_14_W
1,798A*02Mexico Veracruz Rural0.376253918_26_N_95_12_W
1,799A*02Mexico Veracruz, Coatzacoalcos0.27685518_8_N_94_27_W
1,800A*02Mexico Veracruz, Cordoba0.38395618_53_N_96_55_W
1,801A*02Mexico Veracruz, Orizaba0.29176018_51_N_97_6_W
1,802A*02Mexico Veracruz, Poza Rica0.36674520_31_N_97_27_W
1,803A*02Mexico Veracruz, Veracruz city0.319817119_10_N_96_8_W
1,804A*02Mexico Veracruz, Xalapa0.393018719_32_N_96_54_W
1,805A*02Mexico Yucatan Rural0.186613221_16_N_89_31_W
1,806A*02Mexico Yucatan, Merida0.220519220_58_N_89_35_W
1,807A*02Mexico Zacatecas Rural0.327126622_46_N_102_7_W
1,808A*02Mexico Zacatecas, Fresnillo0.242910323_10_N_102_52_W
1,809A*02Mexico Zacatecas, Zacatecas city0.28578422_46_N_102_34_W
1,810A*02Mongolia Hoton0.09408548_40_N_88_18_E
1,811A*02Mongolia Khalkha0.265020045_0_N_107_0_E
1,812A*02Mongolia Khalkha pop 20.279020247_55_N_106_53_E
1,813A*02Mongolia Oold0.327010448_0_N_96_0_E
1,814A*02Mongolia Tarialan Khoton0.09408549_46_N_91_54_E
1,815A*02Mongolia Tsaatan0.243014451_0_N_101_0_E
1,816A*02Mongolia Ulaanbaatar Khalkha0.19204147_55_N_106_55_E
1,817A*02Morocco0.26209633_14_N_8_30_W
1,818A*02Morocco Casablanca0.210010033_32_N_7_35_W
1,819A*02Morocco pop 20.191011032_4_N_6_51_W
1,820A*02Mozambique0.151020225_58_S_32_35_E
1,821A*02Myanmar Bamar32.60.18484617_54_N_96_31_E
1,822A*02Myanmar Chin38.20.23645517_54_N_96_31_E
1,823A*02Myanmar Kachin30.20.18256317_54_N_96_31_E
1,824A*02Myanmar Kayah12.70.08185517_54_N_96_31_E
1,825A*02Myanmar Kayin34.10.18184417_54_N_96_31_E
1,826A*02Myanmar Mon45.30.25006417_54_N_96_31_E
1,827A*02Myanmar Rakhine31.30.15634817_54_N_96_31_E
1,828A*02Myanmar Shan29.60.14815417_54_N_96_31_E
1,829A*02Nigeria31.40.17832586_27_N_3_23_E
1,830A*02Norway ethnic Norwegians55.10.33004,51061_0_N_10_0_E
1,831A*02Norway pop 20.343057659_56_N_10_45_E
1,832A*02Norway Sami0.273020070_0_N_25_0_E
1,833A*02Pakistan Burusho0.12509236_0_N_73_0_E
1,834A*02Pakistan Mixed Sindhi0.165010124_0_N_68_0_E
1,835A*02Peru Arequipa Mestizo79.10.545016815_46_S_73_21_W
1,836A*02Peru Lamas City Lama0.6340836_25_S_76_32_W
1,837A*02Philippines National Capital Region0.06905114_35_N_120_59_E
1,838A*02Poland pop 353.60.27082,90752_12_N_21_1_E
1,839A*02Portugal Aveiro0.28205,93340_34_N_8_27_W
1,840A*02Portugal Beja0.303069937_30_N_8_3_W
1,841A*02Portugal Braga0.27701,97141_37_N_8_20_W
1,842A*02Portugal Bragança0.291030141_48_N_6_50_W
1,843A*02Portugal Castelo Branco0.271032739_50_N_7_28_W
1,844A*02Portugal Center pop 20.270056240_11_N_8_26_W
1,845A*02Portugal Coimbra0.28405,05740_13_N_8_3_W
1,846A*02Portugal Evora0.278073738_34_N_7_54_W
1,847A*02Portugal Faro0.29501,24237_2_N_7_55_W
1,848A*02Portugal Guarda0.265079740_49_N_7_33_W
1,849A*02Portugal Leiria0.28001,84739_45_N_8_56_W
1,850A*02Portugal Lisbon0.279017,42038_42_N_9_11_W
1,851A*02Portugal North pop 20.27211,80141_9_N_8_37_W
1,852A*02Portugal Portalegre0.27001,25439_19_N_7_25_W
1,853A*02Portugal Porto0.26307,93741_9_N_8_38_W
1,854A*02Portugal Santarem0.27603,86539_14_N_8_41_W
1,855A*02Portugal Setubal0.27705,26838_32_N_8_53_W
1,856A*02Portugal South pop 20.27501,02138_42_N_9_11_W
1,857A*02Portugal Viana do Castelo0.268070641_42_N_8_50_W
1,858A*02Portugal Vila Real0.27401,16741_17_N_7_48_W
1,859A*02Portugal Viseu0.28402,91540_40_N_7_55_W
1,860A*02Romania46.00.261034846_0_N_25_0_E
1,861A*02Romania pop 20.26006,93644_25_N_26_6_E
1,862A*02Romania pop 350.10.28321,46944_25_N_26_6_E
1,863A*02Russia Belgorod region1.30.006515350_46_N_37_27_E
1,864A*02Russia Arkhangelsk Pomor0.26006364_0_N_64_0_E
1,865A*02Russia Chuvash0.25008258_0_N_43_0_E
1,866A*02Russia Moscow0.28802,65055_45_N_37_37_E
1,867A*02Russia Moscow Pop 250.00.29482,00055_45_N_37_37_E
1,868A*02Russia Murmansk Saomi Mixed0.26007068_58_N_33_5_E
1,869A*02Russia Nenet Mixed0.26105567_5_N_52_0_E
1,870A*02Russia North Ossetian44.10.248012743_2_N_44_40_E
1,871A*02Russia Northwest52.31,01158_0_N_28_0_E
1,872A*02Russia Northwest pop 354.00.295010059_58_N_30_18_E
1,873A*02Russia Northwest pop 251.234663_0_N_41_0_E
1,874A*02Russia Sakhalin Island Nivkhi0.28305351_0_N_143_0_E
1,875A*02Russia Samara Region0.27802,50053_11_N_50_7_E
1,876A*02Russia South Ural Bashkir58.20.336014654_32_N_60_20_E
1,877A*02Russia South Ural Russian51.70.297020754_32_N_60_20_E
1,878A*02Russia South Ural Tatar48.90.274013554_32_N_60_20_E
1,879A*02Russia Tatars0.245035561_59_N_96_41_E
1,880A*02Russia Transbaikal Territory Buryats43.00.247015054_16_N_118_16_E
1,881A*02Russia, South Ural, Chelyabinsk region, Nagaybaks36.60.219011253_37_N_59_40_E
1,882A*02Rwanda0.21802801_57_S_30_4_E
1,883A*02Saudi Arabia33.31824_42_N_46_43_E
1,884A*02Saudi Arabia pop 20.304038324_42_N_46_43_E
1,885A*02Saudi Arabia pop 449.30.288649924_38_N_46_43_E
1,886A*02Scotland Orkney54.00.31009958_59_N_3_11_W
1,887A*02Serbia0.250038644_28_N_20_28_E
1,888A*02Serbia pop 351.00.29471,99244_49_N_20_28_E
1,889A*02Serbia Vojvodina51.20.307040044_13_N_20_47_E
1,890A*02Slovakia pop 20.23994,23448_6_N_17_7_E
1,891A*02Slovenia pop 345.413046_3_N_14_30_E
1,892A*02South Africa Natal Zulu23.00.115010029_0_S_31_0_E
1,893A*02South Africa Tswana24.40.14604125_51_S_25_38_E
1,894A*02South Korea pop 10.275032437_0_N_126_0_E
1,895A*02South Korea pop 80.29207,09637_34_N_126_58_E
1,896A*02Spain Andalusia0.22309937_22_N_5_59_W
1,897A*02Spain Andalusia Romani0.16209937_22_N_5_59_W
1,898A*02Spain Arratia Valley Basque0.16008343_0_N_3_0_W
1,899A*02Spain Ibiza0.29908839_0_N_1_3_E
1,900A*02Spain Majorca0.312040739_37_N_2_59_E
1,901A*02Spain Majorca and Minorca0.26409039_37_N_2_59_E
1,902A*02Spain Majorcans Jews0.165010339_37_N_2_57_E
1,903A*02Spain Minorca0.34809439_58_N_4_5_E
1,904A*02Spain Murcia0.230017337_59_N_1_7_W
1,905A*02Spain North Cabuerniga0.20509543_0_N_4_0_W
1,906A*02Spain North Cantabria0.27108343_0_N_3_0_W
1,907A*02Spain Pas Valley0.29308843_0_N_3_0_W
1,908A*02Spain Sevilla44.60.262627837_22_N_5_58_W
1,909A*02Spain, Castilla y Leon, Northwest,48.50.27181,74341_50_N_4_23_W
1,910A*02Sudan Khartoum0.32659815_32_N_32_32_E
1,911A*02Sudan South Nuba47.84612_0_N_30_45_E
1,912A*02Sweden pop 455.20.328796659_0_N_18_0_E
1,913A*02Sweden Stockholm58.10.35901,34759_21_N_18_4_E
1,914A*02Sweden Uppsala57.630059_51_N_17_38_E
1,915A*02Switzerland Aargau-Solothurn0.34721,83846_48_N_8_13_E
1,916A*02Switzerland Basel0.29721,88847_33_N_7_34_E
1,917A*02Switzerland Bern0.27503,54546_57_N_7_27_E
1,918A*02Switzerland Geneva pop 20.24761,26746_12_N_6_8_E
1,919A*02Switzerland Graubunden0.292175946_42_N_9_57_E
1,920A*02Switzerland Lausanne0.259499346_31_N_6_39_E
1,921A*02Switzerland Lugano0.29901,16946_0_N_8_55_E
1,922A*02Switzerland Luzern0.28481,55347_3_N_8_18_E
1,923A*02Switzerland Sion0.241183246_15_N_7_23_E
1,924A*02Switzerland St Gallen0.33002,11347_26_N_9_21_E
1,925A*02Switzerland Zurich0.26184,87547_22_N_8_32_E
1,926A*02Taiwan Aborigine0.131011125_5_N_121_5_E
1,927A*02Taiwan Chinese immigrants from Middle China0.328021125_5_N_121_5_E
1,928A*02Taiwan Chinese immigrants from North China0.288015225_5_N_121_5_E
1,929A*02Taiwan Chinese immigrants from South China0.323017225_5_N_121_5_E
1,930A*02Taiwan Hakka pop 20.316071425_5_N_121_5_E
1,931A*02Taiwan Minnan and Hakka0.296019024_0_N_121_0_E
1,932A*02Taiwan Minnan pop 20.31707,13725_5_N_121_5_E
1,933A*02Thailand Northeast pop 20.255040016_27_N_103_10_E
1,934A*02Thailand pop 40.292016,80713_45_N_100_29_E
1,935A*02Trinidad African0.14006710_25_N_61_15_W
1,936A*02Trinidad South Asian0.11008710_25_N_61_15_W
1,937A*02Tunisia Ghannouch0.14608233_3_N_10_20_E
1,938A*02Tunisia pop 30.181010436_48_N_10_11_E
1,939A*02Turkey pop 20.219022841_0_N_28_58_E
1,940A*02Turkey pop 50.302014240_0_N_28_0_E
1,941A*02United Arab Emirates pop 244.037324_0_N_53_0_E
1,942A*02United Kingdom Central0.269713554_0_N_4_0_W
1,943A*02United Kingdom East0.303716354_0_N_4_0_W
1,944A*02United Kingdom North0.270833054_0_N_4_0_W
1,945A*02United Kingdom Orkney0.29148854_0_N_4_0_W
1,946A*02United Kingdom pop 20.270010151_30_N_0_7_W
1,947A*02United Kingdom South West0.306716354_0_N_4_0_W
1,948A*02USA Caucasian49.661,65538_53_N_77_2_W
1,949A*02USA OPTN African American0.18501,51038_53_N_77_2_W
1,950A*02USA OPTN Asian0.270026138_53_N_77_2_W
1,951A*02USA OPTN Caucasian0.29308,52538_53_N_77_2_W
1,952A*02USA OPTN Hispanic0.27801,58038_53_N_77_2_W
1,953A*02Venezuela Caracas Mestizo0.34005010_30_N_66_55_W
1,954A*02Venezuela Colonia Tovar0.21518610_15_N_67_10_W
1,955A*02Venezuela Valencia and Maracaibo Caracus Mixed0.22909610_10_N_68_0_W
1,956A*02Venezuela Zulia Maracaibo Mixed0.30002010_38_N_71_26_W
1,957A*02Venezuela Zulia San Jose de Heras Mixed0.22502010_36_N_72_0_W
1,958A*02Vietnam Hanoi0.25005021_2_N_105_51_E
1,959A*02Wales51.30.30201,79851_29_N_3_11_W
1,960A*02Wales pop 249.80.292039,97951_29_N_3_11_W
1,961A*02:01American Samoa0.13005114_18_S_170_42_W
1,962A*02:01Argentina Gran Chaco Eastern Toba46.40.304013526_11_S_58_11_W
1,963A*02:01Argentina Gran Chaco Mataco Wichi40.90.21604927_27_S_58_59_W
1,964A*02:01Argentina Gran Chaco Western Toba Pilaga60.00.40001927_27_S_58_59_W
1,965A*02:01Argentina Rosario Toba34.90.19208632_57_S_60_39_W
1,966A*02:01Armenia combined Regions0.155010040_11_N_44_31_E
1,967A*02:01Australia Cape York Peninsula Aborigine0.175010310_41_S_142_32_E
1,968A*02:01Australia Groote Eylandt Aborigine0.10707513_58_S_136_35_E
1,969A*02:01Australia Kimberly Aborigine0.11104115_46_S_128_44_E
1,970A*02:01Australia New South Wales Caucasian0.261013433_0_S_146_0_E
1,971A*02:01Australia Yuendumu Aborigine0.113019122_15_S_131_47_E
1,972A*02:01Austria48.00.294020048_13_N_16_21_E
1,973A*02:01Azores Central Islands0.25905938_0_N_28_0_W
1,974A*02:01Azores Oriental Islands0.25604336_58_N_25_6_W
1,975A*02:01Azores Terceira Island0.233013038_44_N_27_19_W
1,976A*02:01Belgium50.00.26609950_50_N_4_21_E
1,977A*02:01Brazil Puyanawa54.00.297015010_52_S_53_5_W
1,978A*02:01Brazil Belo Horizonte Caucasian43.20.23709519_55_S_43_56_W
1,979A*02:01Brazil Mixed0.192010823_10_S_47_48_W
1,980A*02:01Brazil Terena38.30.20806020_0_S_55_0_W
1,981A*02:01Brazil Vale do Ribeira Quilombos0.10.000014424_36_S_48_15_W
1,982A*02:01Bulgaria Romani0.20801342_44_N_23_20_E
1,983A*02:01Burkina Faso Fulani0.05104912_50_N_1_50_W
1,984A*02:01Burkina Faso Rimaibe0.13804712_50_N_1_50_W
1,985A*02:01Cameroon Baka Pygmy0.0000108_30_N_14_0_E
1,986A*02:01Cameroon Bamileke0.0110775_28_N_10_25_E
1,987A*02:01Cameroon Beti0.11201742_55_N_11_9_E
1,988A*02:01Cameroon Sawa0.0380134_50_N_10_0_E
1,989A*02:01Cameroon Yaounde0.0710923_52_N_11_31_E
1,990A*02:01Chile Easter Island0.09502127_7_S_109_22_W
1,991A*02:01Chile Mapuche0.22386637_48_S_73_23_W
1,992A*02:01Chile Santiago Mixed30.07033_26_S_70_39_W
1,993A*02:01China Beijing0.18706739_58_N_116_24_E
1,994A*02:01China Beijing Shijiazhuang Tianjian Han0.158061839_54_N_116_24_E
1,995A*02:01China Canton Han0.153026423_6_N_113_15_E
1,996A*02:01China Guangxi Region Maonan0.046010823_48_N_108_59_E
1,997A*02:01China Guangzhou0.128010223_6_N_113_15_E
1,998A*02:01China Guizhou Province Bouyei0.021010926_50_N_106_50_E
1,999A*02:01China Guizhou Province Miao pop 20.02408526_50_N_106_50_E
2,000A*02:01China Guizhou Province Shui0.045015326_50_N_106_50_E
2,001A*02:01China Han HIV negative0.06307236_34_N_103_49_E
2,002A*02:01China Henan HIV negative0.06301634_0_N_113_40_E
2,003A*02:01China Hubei Han20.30.10163,73230_45_N_114_15_E
2,004A*02:01China Inner Mongolia Region0.127010236_0_N_102_0_E
2,005A*02:01China Jiangsu Han0.13003,23832_54_N_119_48_E
2,006A*02:01China Jiangsu Province Han0.128933432_54_N_119_48_E
2,007A*02:01China Marrow Donor Registry0.107060039_54_N_116_23_E
2,008A*02:01China North Han0.000010539_54_N_116_24_E
2,009A*02:01China Qinghai Province Hui0.173011036_0_N_102_0_E
2,010A*02:01China Shanxi HIV negative0.22702236_5_N_111_50_E
2,011A*02:01China Sichuan HIV negative0.08803430_50_N_102_49_E
2,012A*02:01China South Han0.053028423_1_N_113_3_E
2,013A*02:01China Southwest Dai0.016012422_0_N_100_48_E
2,014A*02:01China Tibet Region Tibetan0.218015829_39_N_91_7_E
2,015A*02:01China Uyghur HIV negative0.23701936_34_N_103_49_E
2,016A*02:01China Yunnan Bulang0.013011621_57_N_100_27_E
2,017A*02:01China Yunnan Hani0.033015021_59_N_100_49_E
2,018A*02:01China Yunnan Province Han0.010010124_2_N_105_3_E
2,019A*02:01China Yunnan Province Lisu0.085011124_30_N_101_30_E
2,020A*02:01China Yunnan Province Nu0.089010724_30_N_101_30_E
2,021A*02:01Colombia Bogotá Cord Blood30.00.16131,4634_39_N_73_52_W
2,022A*02:01Colombia North Chimila Amerindians0.06384710_1_N_74_13_W
2,023A*02:01Colombia North Wiwa El Encanto0.10585210_10_N_73_53_W
2,024A*02:01Croatia0.263015045_0_N_15_0_E
2,025A*02:01Croatia pop 40.29164,00045_48_N_15_57_E
2,026A*02:01Cuba Caucasian34.30.17907023_8_N_82_22_W
2,027A*02:01Cuba Mixed Race31.00.17904223_8_N_82_22_W
2,028A*02:01Czech Republic0.274010650_0_N_14_0_E
2,029A*02:01Czech Republic NMDR0.24315,09949_48_N_15_30_E
2,030A*02:01Ecuador Amerindians0.2540630_13_S_78_30_W
2,031A*02:01Ecuador Cayapa0.09001831_3_N_79_12_W
2,032A*02:01England North West50.70.289029853_0_N_3_0_W
2,033A*02:01Finland0.34409163_29_N_25_16_E
2,034A*02:01France French Bone Marrow Donor Registry0.290142,62348_51_N_2_21_E
2,035A*02:01France Southeast38.50.216013046_0_N_5_0_E
2,036A*02:01Gaza23.80.11904231_22_N_34_18_E
2,037A*02:01Georgia Svaneti Region Svan0.21308042_54_N_43_0_E
2,038A*02:01Georgia Tibilisi0.310010941_41_N_44_57_E
2,039A*02:01Georgia Tibilisi Kurd0.08303141_41_N_44_57_E
2,040A*02:01Germany DKMS - Austria minority0.26771,69848_31_N_9_3_E
2,041A*02:01Germany DKMS - Bosnia and Herzegovina minority0.30501,02848_31_N_9_3_E
2,042A*02:01Germany DKMS - China minority0.12261,28248_31_N_9_3_E
2,043A*02:01Germany DKMS - Croatia minority0.28422,05748_31_N_9_3_E
2,044A*02:01Germany DKMS - France minority0.25721,40648_31_N_9_3_E
2,045A*02:01Germany DKMS - German donors0.28393,456,06648_31_N_9_3_E
2,046A*02:01Germany DKMS - Greece minority0.26291,89448_31_N_9_3_E
2,047A*02:01Germany DKMS - Italy minority0.22521,15948_31_N_9_3_E
2,048A*02:01Germany DKMS - Netherlands minority0.29561,37448_31_N_9_3_E
2,049A*02:01Germany DKMS - Portugal minority0.25641,17648_31_N_9_3_E
2,050A*02:01Germany DKMS - Romania minority0.27631,23448_31_N_9_3_E
2,051A*02:01Germany DKMS - Spain minority0.23671,10748_31_N_9_3_E
2,052A*02:01Germany DKMS - Turkey minority0.19574,85648_31_N_9_3_E
2,053A*02:01Germany DKMS - United Kingdom minority0.27391,04348_31_N_9_3_E
2,054A*02:01Germany pop 60.28888,86251_6_N_10_23_E
2,055A*02:01Germany pop 80.266739,68948_24_N_9_58_E
2,056A*02:01Ghana Ga-Adangbe19.10.10691315_45_N_0_12_E
2,057A*02:01Greece pop 60.262424237_58_N_23_43_E
2,058A*02:01Greece pop 851.80.30728337_58_N_23_43_E
2,059A*02:01Guinea Bissau Balanta0.13504811_52_N_15_36_W
2,060A*02:01Guinea Bissau Bijago0.08702311_52_N_15_36_W
2,061A*02:01Guinea Bissau Fula0.11303111_52_N_15_36_W
2,062A*02:01Guinea Bissau Papel0.04002511_52_N_15_36_W
2,063A*02:01Hong Kong Chinese11.90.062056922_16_N_114_9_E
2,064A*02:01Hong Kong Chinese BMDR0.18917,59522_15_N_114_10_E
2,065A*02:01Hong Kong Chinese cord blood registry0.18673,89222_15_N_114_10_E
2,066A*02:01India Andhra Pradesh Golla0.034011117_5_N_78_5_E
2,067A*02:01India Delhi pop 23.30.01709028_36_N_77_13_E
2,068A*02:01India Khandesh Region Pawra0.00005020_54_N_74_46_E
2,069A*02:01India Mumbai Maratha0.01909118_58_N_72_49_E
2,070A*02:01India New Delhi0.06107128_37_N_77_13_E
2,071A*02:01India North pop 20.05807225_0_N_74_0_E
2,072A*02:01India Tamil Nadu0.05392,49211_32_N_78_52_E
2,073A*02:01India West Bhil0.00005020_54_N_74_46_E
2,074A*02:01India West Coast Parsi0.00005018_0_N_74_0_E
2,075A*02:01Indonesia Java Western12.72367_30_S_111_15_E
2,076A*02:01Iran Gorgan0.10906436_50_N_54_43_E
2,077A*02:01Iran Kurd pop 20.12506036_17_N_46_17_E
2,078A*02:01Iran Saqqez-Baneh Kurds0.12506036_14_N_46_16_E
2,079A*02:01Iran Tabriz Azeris0.13409738_4_N_46_17_E
2,080A*02:01Iran Yazd0.18755631_53_N_54_21_E
2,081A*02:01Ireland Northern46.80.27401,00054_40_N_6_45_W
2,082A*02:01Ireland South43.60.246025053_20_N_6_15_W
2,083A*02:01Israel Arab Druze0.155010131_8_N_35_2_E
2,084A*02:01Israel Arab pop 20.149812,30132_8_N_34_52_E
2,085A*02:01Israel Argentina Jews0.18394,30732_8_N_34_52_E
2,086A*02:01Israel Ashkenazi and Non Ashkenazi Jews0.128014631_8_N_35_2_E
2,087A*02:01Israel Ashkenazi Jews pop 30.15394,62532_8_N_34_52_E
2,088A*02:01Israel Bukhara Jews0.05312,31732_8_N_34_52_E
2,089A*02:01Israel Druze0.03025,91432_41_N_35_17_E
2,090A*02:01Israel Ethiopia Jews0.06285,92832_8_N_34_52_E
2,091A*02:01Israel Georgia Jews0.15204,47132_10_N_34_53_E
2,092A*02:01Israel Iran Jews0.01268,15332_8_N_34_52_E
2,093A*02:01Israel Iraq Jews0.019213,27032_10_N_34_52_E
2,094A*02:01Israel Kavkazi Jews0.09982,84032_10_N_34_52_E
2,095A*02:01Israel Libya Jews0.20123,73932_10_N_34_52_E
2,096A*02:01Israel Morocco Jews0.024836,71832_10_N_34_52_E
2,097A*02:01Israel Poland Jews0.183913,87132_10_N_34_52_E
2,098A*02:01Israel Tunisia Jews0.02969,07032_10_N_34_52_E
2,099A*02:01Israel USA Jews0.18966,05832_10_N_34_52_E
2,100A*02:01Israel USSR Jews0.216845,68132_9_N_34_50_E
2,101A*02:01Israel YemenJews0.027115,54232_9_N_34_50_E
2,102A*02:01Italy Bergamo46.50.280010145_42_N_9_40_E
2,103A*02:01Italy North Pavia0.00608145_11_N_9_9_E
2,104A*02:01Italy North pop 353.80.28909743_0_N_12_0_E
2,105A*02:01Italy pop 50.241097545_28_N_9_11_E
2,106A*02:01Japan Central0.115037135_41_N_139_46_E
2,107A*02:01Japan Hokkaido Ainu0.20005043_0_N_142_0_E
2,108A*02:01Japan pop 160.116218,60435_41_N_139_46_E
2,109A*02:01Japan pop 30.11601,01835_41_N_139_46_E
2,110A*02:01Japan pop 50.106011735_41_N_139_46_E
2,111A*02:01Jordan Amman0.134014631_35_N_36_20_E
2,112A*02:01Kenya Luo0.11502650_0_S_34_6_E
2,113A*02:01Kenya Nandi0.11802400_0_S_35_0_E
2,114A*02:01Kenya, Nyanza Province, Luo tribe27.00.14501000_5_S_34_46_E
2,115A*02:01Kosovo52.40.318612442_34_N_21_0_E
2,116A*02:01Malaysia Champa6.90.0340292_30_N_112_30_E
2,117A*02:01Malaysia Jelebu Temuan0.1460252_56_N_102_5_E
2,118A*02:01Malaysia Kedah Baling Kensiu0.2000255_40_N_100_55_E
2,119A*02:01Malaysia Kedah Kensiu57.00.4050215_40_N_100_55_E
2,120A*02:01Malaysia Kelantan3.60.0180282_30_N_112_30_E
2,121A*02:01Malaysia Mandailing55.60.2960272_30_N_112_30_E
2,122A*02:01Malaysia Pahang Semai10.50.0660384_11_N_102_3_E
2,123A*02:01Malaysia Patani16.00.1000252_30_N_112_30_E
2,124A*02:01Malaysia Peninsular Chinese25.30.14181943_9_N_101_57_E
2,125A*02:01Malaysia Peninsular Indian11.40.06272713_9_N_101_57_E
2,126A*02:01Malaysia Peninsular Malay11.60.06109513_9_N_101_57_E
2,127A*02:01Malaysia Perak Grik Jehai0.1400255_25_N_101_8_E
2,128A*02:01Malaysia Sarawak Bau Bidayuh0.0200251_25_N_110_9_E
2,129A*02:01Mali Bandiagara0.083013814_4_N_3_6_W
2,130A*02:01Mexico Chiapas Lacandon Mayans0.094021816_54_N_92_5_W
2,131A*02:01Mexico Chichen Itza Maya (prehispanic)0.07454720_40_N_88_34_W
2,132A*02:01Mexico Chihuahua Chihuahua City Pop 246.60.27278828_48_N_106_26_W
2,133A*02:01Mexico Mestizo56.10.34104119_24_N_99_9_W
2,134A*02:01Mexico Mexico City Mestizo pop 20.228623419_26_N_99_8_W
2,135A*02:01Mexico Mexico City Mestizo population0.202814319_25_N_99_7_W
2,136A*02:01Mexico Mexico City Tlalpan44.50.259133019_25_N_99_8_W
2,137A*02:01Mexico Mixtec0.25309723_57_N_103_29_W
2,138A*02:01Mexico Oaxaca Jamiltepec Mixtec0.25509616_25_N_97_58_W
2,139A*02:01Mexico Oaxaca Mixe0.31105517_5_N_96_45_W
2,140A*02:01Mexico Oaxaca Mixtec0.284010317_5_N_96_45_W
2,141A*02:01Mexico Oaxaca Zapotec0.28409017_5_N_96_45_W
2,142A*02:01Mexico Sonora Seri0.54503428_57_N_112_34_W
2,143A*02:01Mexico Tixcacaltuyub Maya0.02996720_29_N_88_54_W
2,144A*02:01Mexico Veracruz Xalapa47.60.27388419_32_N_96_55_W
2,145A*02:01Netherlands Leiden0.29201,30552_9_N_4_31_E
2,146A*02:01Netherlands UMCU45.30.28126452_5_N_5_10_E
2,147A*02:01New Caledonia0.02406521_0_S_165_0_E
2,148A*02:01New Zealand Maori with Admixed History16.20.081010542_0_S_174_0_E
2,149A*02:01New Zealand Maori with Full Ancestry6.50.03304642_0_S_174_0_E
2,150A*02:01New Zealand Polynesians with Admixed History22.20.11102742_0_S_174_0_E
2,151A*02:01New Zealand Polynesians with Full Ancestry19.00.09502142_0_S_174_0_E
2,152A*02:01Nicaragua Managua32.00.176633912_7_N_86_10_W
2,153A*02:01Oman39.80.216011822_0_N_56_0_E
2,154A*02:01Pakistan Baloch0.09506630_0_N_67_0_E
2,155A*02:01Pakistan Brahui0.115010430_0_N_67_0_E
2,156A*02:01Pakistan Burusho0.05409236_0_N_73_0_E
2,157A*02:01Pakistan Kalash0.15806932_0_N_70_0_E
2,158A*02:01Pakistan Karachi Parsi0.02809124_49_N_66_59_E
2,159A*02:01Pakistan Mixed Pathan0.082010032_0_N_70_0_E
2,160A*02:01Pakistan Mixed Sindhi0.070010124_0_N_68_0_E
2,161A*02:01Panama0.14934628_59_N_79_37_W
2,162A*02:01Papua New Guinea East New Britain Rabaul0.0000604_12_S_152_11_E
2,163A*02:01Papua New Guinea Eastern Highlands Goroka Asaro0.0000576_5_S_145_23_E
2,164A*02:01Papua New Guinea Karimui Plateau Pawaia0.0000807_14_S_145_20_E
2,165A*02:01Papua New Guinea Madang0.0000655_13_S_145_48_E
2,166A*02:01Papua New Guinea Wanigela Keapara0.02106610_5_S_147_50_E
2,167A*02:01Papua New Guinea West Schrader Ranges Haruai0.0000555_5_S_144_10_E
2,168A*02:01Papua New Guinea Wosera Abelam0.00001313_48_S_143_2_E
2,169A*02:01Peru Titikaka Lake Uro0.500010515_50_S_69_42_W
2,170A*02:01Peru Titikaka Lake Uros0.500010515_50_S_70_1_W
2,171A*02:01Philippines Ivatan48.00.30005020_22_N_121_56_E
2,172A*02:01Poland0.193020051_7_N_17_2_E
2,173A*02:01Poland DKMS0.284920,65352_8_N_19_23_E
2,174A*02:01Portugal Azores Terceira Island42.10.232513038_43_N_27_13_W
2,175A*02:01Portugal Center0.26005039_0_N_8_0_W
2,176A*02:01Portugal North0.29304641_0_N_8_0_W
2,177A*02:01Portugal South0.23504937_0_N_8_0_W
2,178A*02:01Romania43.70.250034846_0_N_25_0_E
2,179A*02:01Russia Belgorod region0.70.003315350_46_N_37_27_E
2,180A*02:01Russia Bering Island Aleuts0.226010455_0_N_166_15_E
2,181A*02:01Russia Karelia0.29631,07563_9_N_32_59_E
2,182A*02:01Russia Tuva pop 20.143016951_30_N_95_5_E
2,183A*02:01Sao Tome Island Angolar0.0630320_20_N_6_44_E
2,184A*02:01Sao Tome Island Forro0.1280660_20_N_6_44_E
2,185A*02:01Saudi Arabia Guraiat and Hail33.30.190021327_31_N_41_41_E
2,186A*02:01Senegal Niokholo Mandenka0.081016512_35_N_12_9_W
2,187A*02:01Singapore Chinese19.50.10401491_24_N_103_45_E
2,188A*02:01Singapore Chinese Han0.0760941_17_N_103_51_E
2,189A*02:01Singapore Javaneses0.0400511_24_N_103_45_E
2,190A*02:01Singapore Riau Malay0.06501321_24_N_103_45_E
2,191A*02:01Singapore SGVP Chinese CHS0.1090961_21_N_103_50_E
2,192A*02:01Singapore SGVP Malay MAS0.1190891_21_N_103_50_E
2,193A*02:01Singapore SGVP. Indian INS0.0750861_21_N_103_50_E
2,194A*02:01Singapore Thai0.03101001_24_N_103_45_E
2,195A*02:01South Africa Natal Tamil0.01005130_0_S_31_0_E
2,196A*02:01South Africa Natal Zulu5.00.025010029_0_S_31_0_E
2,197A*02:01South Africa Worcester14.00.075015933_39_S_19_27_E
2,198A*02:01South Korea pop 100.15484,12837_33_N_126_58_E
2,199A*02:01South Korea pop 30.165048537_33_N_126_59_E
2,200A*02:01Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,41.70.23684,33541_22_N_2_11_E
2,201A*02:01Spain Catalonia Girona0.29908841_59_N_2_49_E
2,202A*02:01Spain Gipuzkoa Basque0.270010043_10_N_2_10_W
2,203A*02:01Sri Lanka Colombo6.60.03407146_56_N_79_50_E
2,204A*02:01Sri Lanka Colombo Sinhalese0.04901016_56_N_79_50_E
2,205A*02:01Sudan Central Shaigiya Mixed11.13618_0_N_33_0_E
2,206A*02:01Sudan East Rashaida18.52714_0_N_35_0_E
2,207A*02:01Sudan Mixed33.00.17302005_0_N_35_0_E
2,208A*02:01Sweden Northern Sami0.236015467_0_N_18_30_E
2,209A*02:01Sweden Southern Sami0.260013060_52_N_14_44_E
2,210A*02:01Taiwan Ami5.10.02609823_0_N_121_0_E
2,211A*02:01Taiwan Atayal13.20.066010624_0_N_121_0_E
2,212A*02:01Taiwan Bunun7.90.040010123_46_N_121_0_E
2,213A*02:01Taiwan Hakka10.90.05505524_0_N_121_0_E
2,214A*02:01Taiwan Han Chinese0.092050423_46_N_121_0_E
2,215A*02:01Taiwan Minnan pop 117.60.088010224_0_N_121_0_E
2,216A*02:01Taiwan Paiwan7.80.03905123_0_N_121_0_E
2,217A*02:01Taiwan Pazeh10.90.05505525_0_N_121_30_E
2,218A*02:01Taiwan pop 20.129036423_46_N_121_0_E
2,219A*02:01Taiwan pop 30.099021223_46_N_121_0_E
2,220A*02:01Taiwan Puyuma4.00.02005023_0_N_121_0_E
2,221A*02:01Taiwan Rukai6.00.03005023_0_N_121_0_E
2,222A*02:01Taiwan Saisiat21.60.10805124_0_N_121_0_E
2,223A*02:01Taiwan Siraya7.80.03905124_0_N_121_0_E
2,224A*02:01Taiwan Tao4.00.02005024_0_N_121_0_E
2,225A*02:01Taiwan Taroko36.40.19105524_0_N_121_0_E
2,226A*02:01Taiwan Thao13.30.06703024_0_N_121_0_E
2,227A*02:01Taiwan Tsou5.90.02905124_0_N_121_0_E
2,228A*02:01Taiwan Tzu Chi Morrow Donor Registry0.104846,68225_2_N_121_38_E
2,229A*02:01Taiwan Tzu Chi Morrow Donor Registry Aborigine0.098723325_2_N_121_38_E
2,230A*02:01Taiwan Tzu Chi Cord Blood Bank0.104071023_46_N_121_0_E
2,231A*02:01Tanzania Maasai21.20.11803363_11_S_37_4_E
2,232A*02:01Thailand0.018014216_7_N_102_0_E
2,233A*02:01Tunisia32.00.175010035_0_N_9_0_E
2,234A*02:01Tunisia Gabes0.15799533_53_N_10_6_E
2,235A*02:01Turkey pop 50.257014240_0_N_28_0_E
2,236A*02:01Uganda Kampala0.18401610_3_N_32_6_E
2,237A*02:01Uganda Kampala pop 20.11401750_20_N_32_30_E
2,238A*02:01United Arab Emirates Abu Dhabi0.20195224_28_N_54_22_E
2,239A*02:01USA African American0.123025230_0_N_95_0_W
2,240A*02:01USA African American Bethesda16.80.084018738_0_N_78_0_W
2,241A*02:01USA African American pop 20.107014932_46_N_96_46_W
2,242A*02:01USA African American pop 30.121056438_53_N_77_2_W
2,243A*02:01USA African American pop 40.12462,41144_58_N_93_15_W
2,244A*02:01USA Alaska Yupik0.024025260_48_N_161_26_W
2,245A*02:01USA Arizona Gila River Amerindian0.474049233_4_N_111_44_W
2,246A*02:01USA Arizona Pima0.436010033_0_N_113_0_W
2,247A*02:01USA Asian0.095035830_0_N_95_0_W
2,248A*02:01USA Asian pop 20.09461,77244_58_N_93_15_W
2,249A*02:01USA Caucasian0.061,65538_53_N_77_2_W
2,250A*02:01USA Caucasian Bethesda47.80.261030738_0_N_78_0_W
2,251A*02:01USA Caucasian pop 20.272026530_0_N_95_0_W
2,252A*02:01USA Caucasian pop 30.22208832_46_N_96_48_W
2,253A*02:01USA Caucasian pop 40.29441,07038_53_N_77_2_W
2,254A*02:01USA Hawaii Okinawa0.090010621_0_N_157_0_W
2,255A*02:01USA Hispanic0.231023430_0_N_95_0_W
2,256A*02:01USA Hispanic pop 20.19401,99944_58_N_93_15_W
2,257A*02:01USA NMDP African0.114628,55738_45_N_76_6_W
2,258A*02:01USA NMDP African American pop 20.1235416,58138_45_N_76_6_W
2,259A*02:01USA NMDP Alaska Native or Aleut0.19201,37638_45_N_76_6_W
2,260A*02:01USA NMDP American Indian South or Central America0.26505,92638_45_N_76_6_W
2,261A*02:01USA NMDP Caribean Black0.110733,32838_45_N_76_6_W
2,262A*02:01USA NMDP Caribean Hispanic0.1688115,37438_45_N_76_6_W
2,263A*02:01USA NMDP Caribean Indian0.145014,33938_45_N_76_6_W
2,264A*02:01USA NMDP Chinese0.094699,67238_45_N_76_6_W
2,265A*02:01USA NMDP European Caucasian0.27551,242,89038_45_N_76_6_W
2,266A*02:01USA NMDP Filipino0.067150,61438_45_N_76_6_W
2,267A*02:01USA NMDP Hawaiian or other Pacific Islander0.119811,49938_45_N_76_6_W
2,268A*02:01USA NMDP Hispanic South or Central American0.2095146,71438_45_N_76_6_W
2,269A*02:01USA NMDP Japanese0.148024,58238_45_N_76_6_W
2,270A*02:01USA NMDP Korean0.185777,58438_45_N_76_6_W
2,271A*02:01USA NMDP Mexican or Chicano0.2230261,23538_45_N_76_6_W
2,272A*02:01USA NMDP Middle Eastern or North Coast of Africa0.197370,89038_45_N_76_6_W
2,273A*02:01USA NMDP North American Amerindian0.277635,79138_45_N_76_6_W
2,274A*02:01USA NMDP South Asian Indian0.0492185,39138_45_N_76_6_W
2,275A*02:01USA NMDP Southeast Asian0.057827,97838_45_N_76_6_W
2,276A*02:01USA NMDP Vietnamese0.034943,54038_45_N_76_6_W
2,277A*02:01USA North American Native0.217018730_0_N_95_0_W
2,278A*02:01USA Philadelphia Caucasian40.70.259014139_56_N_75_10_W
2,279A*02:01USA San Antonio Caucasian0.259022229_23_N_98_33_W
2,280A*02:01USA San Diego37.40.206049632_50_N_117_15_W
2,281A*02:01USA San Francisco Caucasian0.247022037_46_N_122_25_W
2,282A*02:01USA South Dakota Lakota Sioux0.297030244_30_N_100_0_W
2,283A*02:01USA South Texas Hispanic0.217019429_0_N_98_0_W
2,284A*02:01Venezuela Perja Mountain Bari0.2160559_49_N_72_49_W
2,285A*02:01Vietnam Hanoi Kinh pop 20.021017021_2_N_105_51_E
2,286A*02:01Zambia Lusaka0.12804415_25_S_28_17_E
2,287A*02:01Zimbabwe Harare Shona0.091023017_51_S_31_1_E
2,288A*02:01:01Brazil Barra Mansa Rio State Black0.18497322_32_S_44_10_W
2,289A*02:01:01Brazil Barra Mansa Rio State Caucasian0.206240522_32_S_44_10_W
2,290A*02:01:01Brazil Rio de Janeiro Black0.10296822_54_S_43_12_W
2,291A*02:01:01Brazil Rio de Janeiro Caucasian0.220752122_54_S_43_12_W
2,292A*02:01:01Brazil Rio de Janeiro Parda0.182417022_54_S_43_12_W
2,293A*02:01:01Bulgaria0.30005542_0_N_23_0_E
2,294A*02:01:01Cape Verde Northwestern Islands0.14906216_0_N_24_0_W
2,295A*02:01:01Cape Verde Southeastern Islands0.12106216_0_N_24_0_W
2,296A*02:01:01China Guangdong Province Meizhou Han0.015010024_27_N_116_7_E
2,297A*02:01:01China Jingpo Minority5.80.029110525_0_N_102_0_E
2,298A*02:01:01China North Han0.190010539_54_N_116_24_E
2,299A*02:01:01China Zhejiang Han0.10611,73427_2_N_118_1_E
2,300A*02:01:01Costa Rica African -Caribbean (G)16.60.08301029_59_N_83_1_W
2,301A*02:01:01Costa Rica Amerindians (G)18.60.09301259_34_N_83_25_W
2,302A*02:01:01Costa Rica Central Valley Mestizo (G)33.10.17702219_55_N_84_5_W
2,303A*02:01:01Costa Rica Guanacaste Mestizo (G)31.80.168011010_16_N_85_37_W
2,304A*02:01:01Czech Republic0.005010650_0_N_14_0_E
2,305A*02:01:01England Blood Donors of Mixed Ethnicity50.50.303551952_21_N_1_10_W
2,306A*02:01:01Guinea Bissau0.16706512_0_N_15_0_W
2,307A*02:01:01Hong Kong Chinese HKBMDR HLA 11 loci12.70.06535,26622_25_N_114_17_E
2,308A*02:01:01India Andhra Pradesh Golla0.023011117_5_N_78_5_E
2,309A*02:01:01India Andhra Pradesh Telugu Speaking6.50.032318613_4_N_80_14_E
2,310A*02:01:01India Karnataka Kannada Speaking8.00.040017412_57_N_77_36_E
2,311A*02:01:01India Kerala Malayalam speaking13.80.073035613_1_N_80_15_E
2,312A*02:01:01India Tamil Nadu Nadar0.1070618_0_N_77_0_E
2,313A*02:01:01Iran Baloch0.202010029_29_N_60_52_E
2,314A*02:01:01Japan Okinawa Ryukyuan0.102014326_4_N_127_8_E
2,315A*02:01:01Kenya0.08401441_28_S_36_8_E
2,316A*02:01:01Madeira0.246018532_44_N_16_58_W
2,317A*02:01:01Mexico Chihuahua Tarahumara0.25004427_30_N_107_45_W
2,318A*02:01:01Mexico Guadalajara Mestizo pop 20.223010320_40_N_103_21_W
2,319A*02:01:01Mexico Hidalgo Mezquital Valley/ Otomi56.90.40287220_28_N_99_13_W
2,320A*02:01:01Mongolia Buryat0.143014147_6_N_118_6_E
2,321A*02:01:01Morocco Atlantic Coast Chaouya0.16209830_22_N_7_22_W
2,322A*02:01:01Morocco Nador Metalsa pop 20.17807335_10_N_2_56_W
2,323A*02:01:01Morocco Settat Chaouya32.40.16209833_0_N_7_36_W
2,324A*02:01:01Nicaragua Mestizo (G)36.20.194015512_40_N_85_13_W
2,325A*02:01:01Poland BMR49.30.284823,59552_0_N_19_22_E
2,326A*02:01:01Russia Belgorod region51.00.290915350_46_N_37_27_E
2,327A*02:01:01Russia Bashkortostan, Bashkirs30.80.183312054_0_N_55_0_E
2,328A*02:01:01Russia Bashkortostan, Tatars1.00.005219254_13_N_56_9_E
2,329A*02:01:01Russia Nizhny Novgorod, Russians2.10.01031,51056_19_N_43_59_E
2,330A*02:01:01Russian Federation Vologda Region47.10.281511959_13_N_39_54_E
2,331A*02:01:01Saudi Arabia pop 6 (G)0.202028,92723_52_N_45_4_E
2,332A*02:01:01South Africa Caucasians0.260010230_0_S_25_0_E
2,333A*02:01:01South African Black10.60.059914229_9_S_24_39_E
2,334A*02:01:01South African Indian population8.00.04005029_22_S_24_31_E
2,335A*02:01:01South African Mixed ancestry38.00.21005029_22_S_24_31_E
2,336A*02:01:01South Korea pop 30.000048537_33_N_126_59_E
2,337A*02:01:01Spain, Canary Islands, Gran canaria island40.50.237221527_57_N_15_36_W
2,338A*02:01:01USA Arizona Gila River Pima0.42423,00033_4_N_111_43_W
2,339A*02:01:01USA Caucasian47.461,65538_53_N_77_2_W
2,340A*02:01:01USA New Mexico Canoncito Navajo0.37804234_9_N_107_3_W
2,341A*02:01:01USA San Francisco Caucasian0.242022037_46_N_122_25_W
2,342A*02:01:01Vietnam Kinh6.00.029710114_5_N_108_27_E
2,343A*02:01:01:01Bolivia/Chile Aymara NA-DHS_13 (G)85.00.57502022_0_S_70_0_W
2,344A*02:01:01:01Bolivia/Peru Quechua NA-DHS_12 (G)85.70.66672114_0_S_74_0_W
2,345A*02:01:01:01Canada Chipewyan NA-DHS_2 (G)76.00.48002559_36_N_107_20_W
2,346A*02:01:01:01Canada Cree NA-DHS_3 (G)61.10.33331850_20_N_102_30_W
2,347A*02:01:01:01Canada Ojibwa NA-DHS_4 (G)46.70.30001646_0_N_81_0_W
2,348A*02:01:01:01Chile Huilliche NA-DHS_14 (G)45.00.22502041_0_S_73_0_W
2,349A*02:01:01:01China Yunnan Province Jinuo0.009010924_30_N_101_30_E
2,350A*02:01:01:01China Yunnan Province Wa0.008011924_30_N_101_30_E
2,351A*02:01:01:01Colombia Arhuaco NA-DHS_16 (G)5.90.02941711_0_N_73_0_W
2,352A*02:01:01:01Colombia Inga NA-DHS_11 (G)13.30.0667161_0_N_77_0_W
2,353A*02:01:01:01Colombia Waunana NA-DHS_20 (G)5.00.0250205_0_N_77_0_W
2,354A*02:01:01:01Colombia Wayuu NA-DHS_15 (G)13.30.06671511_0_N_73_0_W
2,355A*02:01:01:01Colombia/Brazil Ticuna Tarapaca NA-DHS_22 (G)15.80.0789194_0_S_70_0_W
2,356A*02:01:01:01Costa Rica Guaymi NA-DHS_10 (G)5.60.0278189_0_N_82_0_W
2,357A*02:01:01:01Guatemala Kaqchikel NA-DHS_8 (G)47.40.26321915_0_N_91_0_W
2,358A*02:01:01:01Indonesia Java pop 20.0420366_8_S_106_10_E
2,359A*02:01:01:01Indonesia Sundanese and Javanese0.07502016_8_S_106_10_E
2,360A*02:01:01:01Libya Cyrenaica0.157011832_7_N_20_4_E
2,361A*02:01:01:01Mexico Mixe NA-DHS_6 (G)55.00.32502017_0_N_96_0_W
2,362A*02:01:01:01Mexico Mixtec NA-DHS_5 (G)15.00.07502017_0_N_97_0_W
2,363A*02:01:01:01Mexico Zapotec NA-DHS_7 (G)55.00.40002016_0_N_97_0_W
2,364A*02:01:01:01Paraguay/Argentina Ache NA-DHS_24 (G)7.70.03851324_0_S_56_0_W
2,365A*02:01:01:01Paraguay/Argentina Guarani NA-DHS_23 (G)70.00.35001023_0_S_56_0_W
2,366A*02:01:01:01Russia Bashkortostan, Bashkirs19.20.116712054_0_N_55_0_E
2,367A*02:01:01:01Russia Bashkortostan, Tatars38.50.213519254_13_N_56_9_E
2,368A*02:01:01:01Russia Nizhny Novgorod, Russians46.10.27051,51056_19_N_43_59_E
2,369A*02:01:01:01Russia Tundra Nentsi NA-DHS_1 (G)62.50.37501666_0_N_76_0_E
2,370A*02:01:01:01Saudi Arabia pop 521.50.136115824_38_N_46_43_E
2,371A*02:01:01:01USA Eastern European0.275055838_53_N_77_2_W
2,372A*02:01:01:01USA Italy Ancestry0.260027338_0_N_77_0_W
2,373A*02:01:01:01USA Mexican American Mestizo0.197055338_53_N_77_2_W
2,374A*02:01:01:01USA San Francisco Caucasian0.242022037_46_N_122_25_W
2,375A*02:01:01:01USA Spain Ancestry0.215027938_0_N_77_0_W
2,376A*02:01:02Brazil Barra Mansa Rio State Caucasian0.001240522_32_S_44_10_W
2,377A*02:01:02Bulgaria0.00005542_0_N_23_0_E
2,378A*02:01:02China Guangdong Province Meizhou Han0.005010024_27_N_116_7_E
2,379A*02:01:02China North Han0.000010539_54_N_116_24_E
2,380A*02:01:02Hong Kong Chinese HKBMDR HLA 11 loci0.00.00015,26622_25_N_114_17_E
2,381A*02:01:02Kenya0.00301441_28_S_36_8_E
2,382A*02:01:02Malaysia Kedah Baling Kensiu0.1000255_40_N_100_55_E
2,383A*02:01:02Malaysia Perak Grik Jehai0.1200255_25_N_101_8_E
2,384A*02:01:02Mexico Guadalajara Mestizo pop 20.010010320_40_N_103_21_W
2,385A*02:01:02Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
2,386A*02:01:02Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,387A*02:01:02Poland BMR0.00.000023,59552_0_N_19_22_E
2,388A*02:01:02Saudi Arabia pop 50.60.006315824_38_N_46_43_E
2,389A*02:01:02South Korea pop 30.000048537_33_N_126_59_E
2,390A*02:01:02USA Caucasian0.061,65538_53_N_77_2_W
2,391A*02:01:03Bulgaria0.00005542_0_N_23_0_E
2,392A*02:01:03China North Han0.000010539_54_N_116_24_E
2,393A*02:01:03Japan Okinawa Ryukyuan0.014014326_4_N_127_8_E
2,394A*02:01:03Mongolia Buryat0.007014147_6_N_118_6_E
2,395A*02:01:03Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
2,396A*02:01:03Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,397A*02:01:03South Korea pop 30.000048537_33_N_126_59_E
2,398A*02:01:03USA Caucasian0.061,65538_53_N_77_2_W
2,399A*02:01:04Bulgaria0.00005542_0_N_23_0_E
2,400A*02:01:04China North Han0.000010539_54_N_116_24_E
2,401A*02:01:04Costa Rica Guanacaste Mestizo (G)1.00.005011010_16_N_85_37_W
2,402A*02:01:04Madeira0.003018532_44_N_16_58_W
2,403A*02:01:04Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
2,404A*02:01:04Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,405A*02:01:04Russia Nizhny Novgorod, Russians0.10.00031,51056_19_N_43_59_E
2,406A*02:01:04Saudi Arabia pop 50.60.003215824_38_N_46_43_E
2,407A*02:01:04Saudi Arabia pop 6 (G)0.000328,92723_52_N_45_4_E
2,408A*02:01:04South Korea pop 30.000048537_33_N_126_59_E
2,409A*02:01:04USA Caucasian0.061,65538_53_N_77_2_W
2,410A*02:01:04USA Mexican American Mestizo0.001055338_53_N_77_2_W
2,411A*02:01:04USA San Francisco Caucasian0.002022037_46_N_122_25_W
2,412A*02:01:05Bulgaria0.00005542_0_N_23_0_E
2,413A*02:01:05China North Han0.000010539_54_N_116_24_E
2,414A*02:01:05Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,415A*02:01:05Poland BMR0.00.000123,59552_0_N_19_22_E
2,416A*02:01:05Saudi Arabia pop 6 (G)0.000128,92723_52_N_45_4_E
2,417A*02:01:05South Korea pop 30.000048537_33_N_126_59_E
2,418A*02:01:05USA Caucasian0.061,65538_53_N_77_2_W
2,419A*02:01:06Bulgaria0.00005542_0_N_23_0_E
2,420A*02:01:06China North Han0.000010539_54_N_116_24_E
2,421A*02:01:06Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,422A*02:01:06South Korea pop 30.000048537_33_N_126_59_E
2,423A*02:01:06USA Caucasian0.061,65538_53_N_77_2_W
2,424A*02:01:07Bulgaria0.00005542_0_N_23_0_E
2,425A*02:01:07China North Han0.000010539_54_N_116_24_E
2,426A*02:01:07Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,427A*02:01:07USA Caucasian0.061,65538_53_N_77_2_W
2,428A*02:01:08Bulgaria0.00005542_0_N_23_0_E
2,429A*02:01:08China North Han0.000010539_54_N_116_24_E
2,430A*02:01:08India Kerala Malayalam speaking0.30.001035613_1_N_80_15_E
2,431A*02:01:08Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,432A*02:01:08USA Caucasian0.061,65538_53_N_77_2_W
2,433A*02:01:09Brazil Barra Mansa Rio State Caucasian0.001240522_32_S_44_10_W
2,434A*02:01:09Bulgaria0.00005542_0_N_23_0_E
2,435A*02:01:09China North Han0.000010539_54_N_116_24_E
2,436A*02:01:09Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,437A*02:01:09Poland BMR0.00.000023,59552_0_N_19_22_E
2,438A*02:01:09Russia Nizhny Novgorod, Russians0.10.00071,51056_19_N_43_59_E
2,439A*02:01:09Russian Federation Vologda Region0.80.004211959_13_N_39_54_E
2,440A*02:01:09Saudi Arabia pop 6 (G)0.000328,92723_52_N_45_4_E
2,441A*02:01:09USA Caucasian0.061,65538_53_N_77_2_W
2,442A*02:01:10China North Han0.000010539_54_N_116_24_E
2,443A*02:01:10Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,444A*02:01:10USA Arizona Gila River Pima0.00023,00033_4_N_111_43_W
2,445A*02:01:11Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,446A*02:01:12Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,447A*02:01:13Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,448A*02:01:14QMorocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,449A*02:01:15Brazil Barra Mansa Rio State Caucasian0.002540522_32_S_44_10_W
2,450A*02:01:15Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,451A*02:01:17Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,452A*02:01:18Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,453A*02:01:19Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,454A*02:01:21Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,455A*02:01:22Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,456A*02:01:23Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,457A*02:01:23Poland BMR0.00.000023,59552_0_N_19_22_E
2,458A*02:01:24Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,459A*02:01:24USA Arizona Gila River Pima0.00023,00033_4_N_111_43_W
2,460A*02:01:25Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,461A*02:01:26Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,462A*02:01:27Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,463A*02:01:28Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,464A*02:01:29Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,465A*02:01:30Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,466A*02:01:31Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,467A*02:01:32Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,468A*02:01:33Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,469A*02:01:34Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,470A*02:01:35Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,471A*02:01:35USA Arizona Gila River Pima0.00023,00033_4_N_111_43_W
2,472A*02:01:36Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,473A*02:01:36Saudi Arabia pop 50.60.003215824_38_N_46_43_E
2,474A*02:01:37Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,475A*02:01:38Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,476A*02:01:39Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,477A*02:01:40Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,478A*02:01:41Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,479A*02:01:42Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,480A*02:01:52Poland BMR0.00.000023,59552_0_N_19_22_E
2,481A*02:01:61USA Arizona Gila River Pima0.00033,00033_4_N_111_43_W
2,482A*02:01:66USA Arizona Gila River Pima0.00023,00033_4_N_111_43_W
2,483A*02:01:70USA Arizona Gila River Pima0.00023,00033_4_N_111_43_W
2,484A*02:01:110USA Arizona Gila River Pima0.00033,00033_4_N_111_43_W
2,485A*02:01:111USA Arizona Gila River Pima0.00023,00033_4_N_111_43_W
2,486A*02:02Argentina Rosario Toba7.00.04108632_57_S_60_39_W
2,487A*02:02Azores Central Islands0.01805938_0_N_28_0_W
2,488A*02:02Azores Oriental Islands0.01304336_58_N_25_6_W
2,489A*02:02Azores Terceira Island0.027013038_44_N_27_19_W
2,490A*02:02Belgium1.00.00509950_50_N_4_21_E
2,491A*02:02Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
2,492A*02:02Brazil Mixed0.040010823_10_S_47_48_W
2,493A*02:02Brazil Vale do Ribeira Quilombos0.00.000014424_36_S_48_15_W
2,494A*02:02Bulgaria0.00005542_0_N_23_0_E
2,495A*02:02Burkina Faso Fulani0.00004912_50_N_1_50_W
2,496A*02:02Burkina Faso Rimaibe0.05304712_50_N_1_50_W
2,497A*02:02Cameroon Baka Pygmy0.0000108_30_N_14_0_E
2,498A*02:02Cameroon Bamileke0.1040775_28_N_10_25_E
2,499A*02:02Cameroon Beti0.06001742_55_N_11_9_E
2,500A*02:02Cameroon Sawa0.0000134_50_N_10_0_E
2,501A*02:02Cameroon Yaounde0.0820923_52_N_11_31_E
2,502A*02:02Cape Verde Northwestern Islands0.00806216_0_N_24_0_W
2,503A*02:02Cape Verde Southeastern Islands0.02406216_0_N_24_0_W
2,504A*02:02Chile Mapuche0.00776637_48_S_73_23_W
2,505A*02:02China Hubei Han0.00.00013,73230_45_N_114_15_E
2,506A*02:02China Inner Mongolia Region0.000010236_0_N_102_0_E
2,507A*02:02China Jiangsu Province Han0.001833432_54_N_119_48_E
2,508A*02:02China North Han0.000010539_54_N_116_24_E
2,509A*02:02China Qinghai Province Hui0.014011036_0_N_102_0_E
2,510A*02:02China Tibet Region Tibetan0.000015829_39_N_91_7_E
2,511A*02:02Colombia Bogotá Cord Blood0.80.00411,4634_39_N_73_52_W
2,512A*02:02Costa Rica African -Caribbean (G)11.80.06401029_59_N_83_1_W
2,513A*02:02Costa Rica Central Valley Mestizo (G)0.40.00202219_55_N_84_5_W
2,514A*02:02Costa Rica Guanacaste Mestizo (G)2.80.014011010_16_N_85_37_W
2,515A*02:02Croatia0.000015045_0_N_15_0_E
2,516A*02:02Croatia pop 40.00044,00045_48_N_15_57_E
2,517A*02:02Cuba Caucasian0.00.00007023_8_N_82_22_W
2,518A*02:02Cuba Mixed Race2.40.01204223_8_N_82_22_W
2,519A*02:02Czech Republic0.005010650_0_N_14_0_E
2,520A*02:02Czech Republic NMDR0.00125,09949_48_N_15_30_E
2,521A*02:02France Southeast0.80.004013046_0_N_5_0_E
2,522A*02:02Gaza2.40.01194231_22_N_34_18_E
2,523A*02:02Georgia Svaneti Region Svan0.03808042_54_N_43_0_E
2,524A*02:02Georgia Tibilisi0.010010941_41_N_44_57_E
2,525A*02:02Germany DKMS - Austria minority0.00061,69848_31_N_9_3_E
2,526A*02:02Germany DKMS - Bosnia and Herzegovina minority0.00151,02848_31_N_9_3_E
2,527A*02:02Germany DKMS - Croatia minority0.00022,05748_31_N_9_3_E
2,528A*02:02Germany DKMS - France minority0.00081,40648_31_N_9_3_E
2,529A*02:02Germany DKMS - German donors0.00063,456,06648_31_N_9_3_E
2,530A*02:02Germany DKMS - Greece minority0.00131,89448_31_N_9_3_E
2,531A*02:02Germany DKMS - Italy minority0.00301,15948_31_N_9_3_E
2,532A*02:02Germany DKMS - Netherlands minority0.00041,37448_31_N_9_3_E
2,533A*02:02Germany DKMS - Portugal minority0.00511,17648_31_N_9_3_E
2,534A*02:02Germany DKMS - Romania minority0.00161,23448_31_N_9_3_E
2,535A*02:02Germany DKMS - Spain minority0.00141,10748_31_N_9_3_E
2,536A*02:02Germany DKMS - Turkey minority0.00194,85648_31_N_9_3_E
2,537A*02:02Germany DKMS - United Kingdom minority0.00101,04348_31_N_9_3_E
2,538A*02:02Germany pop 60.00058,86251_6_N_10_23_E
2,539A*02:02Germany pop 80.000839,68948_24_N_9_58_E
2,540A*02:02Ghana Ga-Adangbe12.20.06491315_45_N_0_12_E
2,541A*02:02Greece pop 60.002124237_58_N_23_43_E
2,542A*02:02Guinea Bissau0.06206512_0_N_15_0_W
2,543A*02:02Guinea Bissau Balanta0.06304811_52_N_15_36_W
2,544A*02:02Guinea Bissau Bijago0.08702311_52_N_15_36_W
2,545A*02:02Guinea Bissau Fula0.06503111_52_N_15_36_W
2,546A*02:02Guinea Bissau Papel0.08002511_52_N_15_36_W
2,547A*02:02Hong Kong Chinese0.00.000056922_16_N_114_9_E
2,548A*02:02India Delhi pop 23.30.01709028_36_N_77_13_E
2,549A*02:02Ireland Northern0.00.00001,00054_40_N_6_45_W
2,550A*02:02Israel Arab Druze0.020010131_8_N_35_2_E
2,551A*02:02Israel Arab pop 20.004012,30132_8_N_34_52_E
2,552A*02:02Israel Argentina Jews0.00094,30732_8_N_34_52_E
2,553A*02:02Israel Ashkenazi and Non Ashkenazi Jews0.009014631_8_N_35_2_E
2,554A*02:02Israel Ashkenazi Jews pop 30.00174,62532_8_N_34_52_E
2,555A*02:02Israel Bukhara Jews0.07142,31732_8_N_34_52_E
2,556A*02:02Israel Druze0.18555,91432_41_N_35_17_E
2,557A*02:02Israel Ethiopia Jews0.11845,92832_8_N_34_52_E
2,558A*02:02Israel Iran Jews0.03728,15332_8_N_34_52_E
2,559A*02:02Israel Iraq Jews0.034013,27032_10_N_34_52_E
2,560A*02:02Israel Kavkazi Jews0.00042,84032_10_N_34_52_E
2,561A*02:02Israel Libya Jews0.00003,73932_10_N_34_52_E
2,562A*02:02Israel Morocco Jews0.107236,71832_10_N_34_52_E
2,563A*02:02Israel Poland Jews0.000613,87132_10_N_34_52_E
2,564A*02:02Israel Tunisia Jews0.15279,07032_10_N_34_52_E
2,565A*02:02Israel USA Jews0.00076,05832_10_N_34_52_E
2,566A*02:02Israel USSR Jews0.000645,68132_9_N_34_50_E
2,567A*02:02Israel YemenJews0.104015,54232_9_N_34_50_E
2,568A*02:02Italy Bergamo0.00.000010145_42_N_9_40_E
2,569A*02:02Italy North pop 30.00.00009743_0_N_12_0_E
2,570A*02:02Italy pop 50.004097545_28_N_9_11_E
2,571A*02:02Kenya0.04901441_28_S_36_8_E
2,572A*02:02Kenya Luo0.03002650_0_S_34_6_E
2,573A*02:02Kenya Nandi0.06602400_0_S_35_0_E
2,574A*02:02Kenya, Nyanza Province, Luo tribe4.00.02501000_5_S_34_46_E
2,575A*02:02Libya Cyrenaica0.017011832_7_N_20_4_E
2,576A*02:02Madeira0.008018532_44_N_16_58_W
2,577A*02:02Malaysia Peninsular Chinese4.60.02321943_9_N_101_57_E
2,578A*02:02Malaysia Peninsular Indian1.10.00552713_9_N_101_57_E
2,579A*02:02Malaysia Peninsular Malay6.90.03689513_9_N_101_57_E
2,580A*02:02Mali Bandiagara0.076013814_4_N_3_6_W
2,581A*02:02Mexico Chihuahua Chihuahua City Pop 21.10.00578828_48_N_106_26_W
2,582A*02:02Mexico Guadalajara Mestizo pop 20.005010320_40_N_103_21_W
2,583A*02:02Mexico Mestizo0.00.00004119_24_N_99_9_W
2,584A*02:02Mexico Mexico City Mestizo pop 20.002123419_26_N_99_8_W
2,585A*02:02Mexico Mexico City Mestizo population0.003514319_25_N_99_7_W
2,586A*02:02Mexico Mexico City Tlalpan4.80.024233019_25_N_99_8_W
2,587A*02:02Mexico Veracruz Xalapa3.60.01798419_32_N_96_55_W
2,588A*02:02Morocco Atlantic Coast Chaouya0.00709830_22_N_7_22_W
2,589A*02:02Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
2,590A*02:02Morocco Settat Chaouya1.40.00709833_0_N_7_36_W
2,591A*02:02Netherlands Leiden0.00001,30552_9_N_4_31_E
2,592A*02:02Nicaragua Managua0.60.003033912_7_N_86_10_W
2,593A*02:02Nicaragua Mestizo (G)0.60.003015512_40_N_85_13_W
2,594A*02:02Oman0.90.004011822_0_N_56_0_E
2,595A*02:02Pakistan Baloch0.00006630_0_N_67_0_E
2,596A*02:02Pakistan Brahui0.023010430_0_N_67_0_E
2,597A*02:02Pakistan Burusho0.00009236_0_N_73_0_E
2,598A*02:02Pakistan Kalash0.00006932_0_N_70_0_E
2,599A*02:02Pakistan Karachi Parsi0.01709124_49_N_66_59_E
2,600A*02:02Pakistan Mixed Pathan0.000010032_0_N_70_0_E
2,601A*02:02Pakistan Mixed Sindhi0.000010124_0_N_68_0_E
2,602A*02:02Panama0.02494628_59_N_79_37_W
2,603A*02:02Philippines Ivatan0.00.00005020_22_N_121_56_E
2,604A*02:02Poland DKMS0.000320,65352_8_N_19_23_E
2,605A*02:02Portugal Azores Terceira Island5.30.026313038_43_N_27_13_W
2,606A*02:02Portugal Center0.00005039_0_N_8_0_W
2,607A*02:02Portugal North0.01104641_0_N_8_0_W
2,608A*02:02Portugal South0.00004937_0_N_8_0_W
2,609A*02:02Romania0.90.004034846_0_N_25_0_E
2,610A*02:02Sao Tome Island Angolar0.0630320_20_N_6_44_E
2,611A*02:02Sao Tome Island Forro0.0450660_20_N_6_44_E
2,612A*02:02Saudi Arabia Guraiat and Hail4.20.024021327_31_N_41_41_E
2,613A*02:02Saudi Arabia pop 52.50.015815824_38_N_46_43_E
2,614A*02:02Scotland Orkney0.00.00009958_59_N_3_11_W
2,615A*02:02Senegal Niokholo Mandenka0.091016512_35_N_12_9_W
2,616A*02:02Singapore Chinese0.00.00001491_24_N_103_45_E
2,617A*02:02Singapore SGVP Chinese CHS0.0000961_21_N_103_50_E
2,618A*02:02Singapore SGVP Malay MAS0.0000891_21_N_103_50_E
2,619A*02:02Singapore SGVP. Indian INS0.0060861_21_N_103_50_E
2,620A*02:02South Africa Caucasians0.010010230_0_S_25_0_E
2,621A*02:02South Africa Natal Zulu7.00.035010029_0_S_31_0_E
2,622A*02:02South Africa Worcester2.00.009015933_39_S_19_27_E
2,623A*02:02South Korea pop 30.000048537_33_N_126_59_E
2,624A*02:02Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.50.00244,33541_22_N_2_11_E
2,625A*02:02Sudan Central Shaigiya Mixed2.73618_0_N_33_0_E
2,626A*02:02Sudan Mixed3.50.01802005_0_N_35_0_E
2,627A*02:02Taiwan Ami0.00.00009823_0_N_121_0_E
2,628A*02:02Taiwan Atayal0.00.000010624_0_N_121_0_E
2,629A*02:02Taiwan Bunun0.00.000010123_46_N_121_0_E
2,630A*02:02Taiwan Hakka0.00.00005524_0_N_121_0_E
2,631A*02:02Taiwan Minnan pop 10.00.000010224_0_N_121_0_E
2,632A*02:02Taiwan Paiwan0.00.00005123_0_N_121_0_E
2,633A*02:02Taiwan Pazeh0.00.00005525_0_N_121_30_E
2,634A*02:02Taiwan Puyuma0.00.00005023_0_N_121_0_E
2,635A*02:02Taiwan Rukai0.00.00005023_0_N_121_0_E
2,636A*02:02Taiwan Saisiat0.00.00005124_0_N_121_0_E
2,637A*02:02Taiwan Siraya0.00.00005124_0_N_121_0_E
2,638A*02:02Taiwan Tao0.00.00005024_0_N_121_0_E
2,639A*02:02Taiwan Taroko0.00.00005524_0_N_121_0_E
2,640A*02:02Taiwan Thao0.00.00003024_0_N_121_0_E
2,641A*02:02Taiwan Tsou0.00.00005124_0_N_121_0_E
2,642A*02:02Taiwan Tzu Chi Morrow Donor Registry0.000146,68225_2_N_121_38_E
2,643A*02:02Taiwan Tzu Chi Morrow Donor Registry Aborigine0.000023325_2_N_121_38_E
2,644A*02:02Tanzania Maasai5.10.02543363_11_S_37_4_E
2,645A*02:02Tunisia2.00.010010035_0_N_9_0_E
2,646A*02:02Turkey pop 50.000014240_0_N_28_0_E
2,647A*02:02Uganda Kampala0.03401610_3_N_32_6_E
2,648A*02:02Uganda Kampala pop 20.03701750_20_N_32_30_E
2,649A*02:02USA African American0.034025230_0_N_95_0_W
2,650A*02:02USA African American Bethesda7.90.040018738_0_N_78_0_W
2,651A*02:02USA African American pop 20.037014932_46_N_96_46_W
2,652A*02:02USA African American pop 30.029056438_53_N_77_2_W
2,653A*02:02USA African American pop 40.04202,41144_58_N_93_15_W
2,654A*02:02USA Alaska Yupik0.000025260_48_N_161_26_W
2,655A*02:02USA Asian0.003035830_0_N_95_0_W
2,656A*02:02USA Asian pop 20.00031,77244_58_N_93_15_W
2,657A*02:02USA Caucasian0.061,65538_53_N_77_2_W
2,658A*02:02USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
2,659A*02:02USA Caucasian pop 20.000026530_0_N_95_0_W
2,660A*02:02USA Caucasian pop 30.00608832_46_N_96_48_W
2,661A*02:02USA Caucasian pop 40.00091,07038_53_N_77_2_W
2,662A*02:02USA Hispanic0.006023430_0_N_95_0_W
2,663A*02:02USA Hispanic pop 20.00681,99944_58_N_93_15_W
2,664A*02:02USA Italy Ancestry0.002027338_0_N_77_0_W
2,665A*02:02USA Mexican American Mestizo0.005055338_53_N_77_2_W
2,666A*02:02USA NMDP African0.046628,55738_45_N_76_6_W
2,667A*02:02USA NMDP African American pop 20.0414416,58138_45_N_76_6_W
2,668A*02:02USA NMDP Alaska Native or Aleut0.00201,37638_45_N_76_6_W
2,669A*02:02USA NMDP American Indian South or Central America0.00305,92638_45_N_76_6_W
2,670A*02:02USA NMDP Caribean Black0.041533,32838_45_N_76_6_W
2,671A*02:02USA NMDP Caribean Hispanic0.0184115,37438_45_N_76_6_W
2,672A*02:02USA NMDP Caribean Indian0.022014,33938_45_N_76_6_W
2,673A*02:02USA NMDP Chinese0.000199,67238_45_N_76_6_W
2,674A*02:02USA NMDP European Caucasian0.00091,242,89038_45_N_76_6_W
2,675A*02:02USA NMDP Filipino0.000250,61438_45_N_76_6_W
2,676A*02:02USA NMDP Hawaiian or other Pacific Islander0.001311,49938_45_N_76_6_W
2,677A*02:02USA NMDP Hispanic South or Central American0.0076146,71438_45_N_76_6_W
2,678A*02:02USA NMDP Japanese0.000024,58238_45_N_76_6_W
2,679A*02:02USA NMDP Korean0.000077,58438_45_N_76_6_W
2,680A*02:02USA NMDP Mexican or Chicano0.0041261,23538_45_N_76_6_W
2,681A*02:02USA NMDP Middle Eastern or North Coast of Africa0.006070,89038_45_N_76_6_W
2,682A*02:02USA NMDP North American Amerindian0.001435,79138_45_N_76_6_W
2,683A*02:02USA NMDP South Asian Indian0.0002185,39138_45_N_76_6_W
2,684A*02:02USA NMDP Southeast Asian0.000327,97838_45_N_76_6_W
2,685A*02:02USA NMDP Vietnamese0.000343,54038_45_N_76_6_W
2,686A*02:02USA North American Native0.008018730_0_N_95_0_W
2,687A*02:02USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
2,688A*02:02USA San Antonio Caucasian0.000022229_23_N_98_33_W
2,689A*02:02USA San Diego0.60.003049632_50_N_117_15_W
2,690A*02:02USA South Dakota Lakota Sioux0.002030244_30_N_100_0_W
2,691A*02:02USA South Texas Hispanic0.000019429_0_N_98_0_W
2,692A*02:02USA Spain Ancestry0.004027938_0_N_77_0_W
2,693A*02:02Zambia Lusaka0.02304415_25_S_28_17_E
2,694A*02:02Zimbabwe Harare Shona0.036023017_51_S_31_1_E
2,695A*02:02:01Brazil Barra Mansa Rio State Black0.03427322_32_S_44_10_W
2,696A*02:02:01Brazil Barra Mansa Rio State Caucasian0.007440522_32_S_44_10_W
2,697A*02:02:01Brazil Rio de Janeiro Black0.01476822_54_S_43_12_W
2,698A*02:02:01Brazil Rio de Janeiro Caucasian0.009652122_54_S_43_12_W
2,699A*02:02:01Brazil Rio de Janeiro Parda0.017617022_54_S_43_12_W
2,700A*02:02:01Russia Nizhny Novgorod, Russians0.30.00131,51056_19_N_43_59_E
2,701A*02:02:01Saudi Arabia pop 6 (G)0.011028,92723_52_N_45_4_E
2,702A*02:02:01South African Black5.60.028214229_9_S_24_39_E
2,703A*02:02:01Spain, Canary Islands, Gran canaria island1.40.006921527_57_N_15_36_W
2,704A*02:02:01:01Poland BMR0.10.000623,59552_0_N_19_22_E
2,705A*02:03Australia New South Wales Caucasian0.000013433_0_S_146_0_E
2,706A*02:03Australia Yuendumu Aborigine0.000019122_15_S_131_47_E
2,707A*02:03Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
2,708A*02:03Bulgaria0.00005542_0_N_23_0_E
2,709A*02:03Burkina Faso Fulani0.00004912_50_N_1_50_W
2,710A*02:03Burkina Faso Rimaibe0.01104712_50_N_1_50_W
2,711A*02:03China Beijing0.00806739_58_N_116_24_E
2,712A*02:03China Beijing Shijiazhuang Tianjian Han0.024061839_54_N_116_24_E
2,713A*02:03China Canton Han0.112026423_6_N_113_15_E
2,714A*02:03China Guangdong Province Meizhou Han0.010010024_27_N_116_7_E
2,715A*02:03China Guangxi Region Maonan0.176010823_48_N_108_59_E
2,716A*02:03China Guangzhou0.098010223_6_N_113_15_E
2,717A*02:03China Hubei Han7.10.03563,73230_45_N_114_15_E
2,718A*02:03China Jiangsu Han0.02303,23832_54_N_119_48_E
2,719A*02:03China Jiangsu Province Han0.027933432_54_N_119_48_E
2,720A*02:03China Marrow Donor Registry0.045060039_54_N_116_23_E
2,721A*02:03China North Han0.024010539_54_N_116_24_E
2,722A*02:03China Shanxi HIV negative0.02302236_5_N_111_50_E
2,723A*02:03China Sichuan HIV negative0.08803430_50_N_102_49_E
2,724A*02:03China South Han0.108028423_1_N_113_3_E
2,725A*02:03China Southwest Dai0.109012422_0_N_100_48_E
2,726A*02:03China Tibet Region Tibetan0.000015829_39_N_91_7_E
2,727A*02:03China Yunnan Bulang0.082011621_57_N_100_27_E
2,728A*02:03China Yunnan Hani0.043015021_59_N_100_49_E
2,729A*02:03China Yunnan Province Han0.005010124_2_N_105_3_E
2,730A*02:03Croatia0.000015045_0_N_15_0_E
2,731A*02:03Cuba Caucasian0.00.00007023_8_N_82_22_W
2,732A*02:03Cuba Mixed Race0.00.00004223_8_N_82_22_W
2,733A*02:03Czech Republic0.000010650_0_N_14_0_E
2,734A*02:03Czech Republic NMDR0.00025,09949_48_N_15_30_E
2,735A*02:03Germany DKMS - Austria minority0.00031,69848_31_N_9_3_E
2,736A*02:03Germany DKMS - China minority0.03351,28248_31_N_9_3_E
2,737A*02:03Germany DKMS - France minority0.00041,40648_31_N_9_3_E
2,738A*02:03Germany DKMS - German donors0.00013,456,06648_31_N_9_3_E
2,739A*02:03Germany DKMS - Italy minority0.00041,15948_31_N_9_3_E
2,740A*02:03Germany DKMS - Turkey minority0.00044,85648_31_N_9_3_E
2,741A*02:03Germany pop 60.00018,86251_6_N_10_23_E
2,742A*02:03Germany pop 80.000139,68948_24_N_9_58_E
2,743A*02:03Hong Kong Chinese14.70.078056922_16_N_114_9_E
2,744A*02:03Hong Kong Chinese BMDR0.07607,59522_15_N_114_10_E
2,745A*02:03Hong Kong Chinese cord blood registry0.07773,89222_15_N_114_10_E
2,746A*02:03India Delhi pop 21.10.00509028_36_N_77_13_E
2,747A*02:03India Khandesh Region Pawra0.05005020_54_N_74_46_E
2,748A*02:03India Mumbai Maratha0.03709118_58_N_72_49_E
2,749A*02:03India Tamil Nadu0.01172,49211_32_N_78_52_E
2,750A*02:03India West Bhil0.05005020_54_N_74_46_E
2,751A*02:03India West Coast Parsi0.00005018_0_N_74_0_E
2,752A*02:03Indonesia Java Western7.22367_30_S_111_15_E
2,753A*02:03Ireland Northern0.00.00001,00054_40_N_6_45_W
2,754A*02:03Israel Iran Jews0.00008,15332_8_N_34_52_E
2,755A*02:03Israel Iraq Jews0.000013,27032_10_N_34_52_E
2,756A*02:03Israel Libya Jews0.00003,73932_10_N_34_52_E
2,757A*02:03Israel Morocco Jews0.000036,71832_10_N_34_52_E
2,758A*02:03Israel Poland Jews0.000013,87132_10_N_34_52_E
2,759A*02:03Israel USSR Jews0.000045,68132_9_N_34_50_E
2,760A*02:03Italy Bergamo0.00.000010145_42_N_9_40_E
2,761A*02:03Italy North pop 30.00.00009743_0_N_12_0_E
2,762A*02:03Japan pop 160.000618,60435_41_N_139_46_E
2,763A*02:03Japan pop 30.00101,01835_41_N_139_46_E
2,764A*02:03Malaysia Champa13.80.0690292_30_N_112_30_E
2,765A*02:03Malaysia Jelebu Temuan0.0210252_56_N_102_5_E
2,766A*02:03Malaysia Kedah Baling Kensiu0.0200255_40_N_100_55_E
2,767A*02:03Malaysia Kedah Kensiu9.50.0480215_40_N_100_55_E
2,768A*02:03Malaysia Kelantan3.60.0180282_30_N_112_30_E
2,769A*02:03Malaysia Mandailing18.50.0930272_30_N_112_30_E
2,770A*02:03Malaysia Pahang Semai23.70.1180384_11_N_102_3_E
2,771A*02:03Malaysia Patani16.00.0800252_30_N_112_30_E
2,772A*02:03Malaysia Peninsular Chinese12.40.06441943_9_N_101_57_E
2,773A*02:03Malaysia Peninsular Indian1.10.00552713_9_N_101_57_E
2,774A*02:03Malaysia Peninsular Malay4.30.02169513_9_N_101_57_E
2,775A*02:03Malaysia Perak Grik Jehai0.0400255_25_N_101_8_E
2,776A*02:03Malaysia Sarawak Bau Bidayuh0.0200251_25_N_110_9_E
2,777A*02:03Mexico Mestizo0.00.00004119_24_N_99_9_W
2,778A*02:03Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
2,779A*02:03Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,780A*02:03Netherlands Leiden0.00101,30552_9_N_4_31_E
2,781A*02:03Oman0.00.000011822_0_N_56_0_E
2,782A*02:03Pakistan Baloch0.00806630_0_N_67_0_E
2,783A*02:03Pakistan Brahui0.000010430_0_N_67_0_E
2,784A*02:03Pakistan Burusho0.00009236_0_N_73_0_E
2,785A*02:03Pakistan Kalash0.00006932_0_N_70_0_E
2,786A*02:03Pakistan Karachi Parsi0.00009124_49_N_66_59_E
2,787A*02:03Pakistan Mixed Pathan0.005010032_0_N_70_0_E
2,788A*02:03Pakistan Mixed Sindhi0.000010124_0_N_68_0_E
2,789A*02:03Panama0.00114628_59_N_79_37_W
2,790A*02:03Philippines Ivatan0.00.00005020_22_N_121_56_E
2,791A*02:03Poland DKMS0.000020,65352_8_N_19_23_E
2,792A*02:03Romania0.00.000034846_0_N_25_0_E
2,793A*02:03Russia Tuva pop 20.003016951_30_N_95_5_E
2,794A*02:03Scotland Orkney0.00.00009958_59_N_3_11_W
2,795A*02:03Singapore Chinese12.80.06701491_24_N_103_45_E
2,796A*02:03Singapore Chinese Han0.0990941_17_N_103_51_E
2,797A*02:03Singapore Javaneses0.0900511_24_N_103_45_E
2,798A*02:03Singapore Riau Malay0.05201321_24_N_103_45_E
2,799A*02:03Singapore SGVP Chinese CHS0.0870961_21_N_103_50_E
2,800A*02:03Singapore SGVP Malay MAS0.0360891_21_N_103_50_E
2,801A*02:03Singapore SGVP. Indian INS0.0060861_21_N_103_50_E
2,802A*02:03Singapore Thai0.13301001_24_N_103_45_E
2,803A*02:03South Africa Natal Tamil0.01005130_0_S_31_0_E
2,804A*02:03South Africa Natal Zulu0.00.000010029_0_S_31_0_E
2,805A*02:03South Korea pop 100.00554,12837_33_N_126_58_E
2,806A*02:03South Korea pop 30.005048537_33_N_126_59_E
2,807A*02:03Sri Lanka Colombo1.40.00707146_56_N_79_50_E
2,808A*02:03Sri Lanka Colombo Sinhalese0.02401016_56_N_79_50_E
2,809A*02:03Sudan Central Shaigiya Mixed2.73618_0_N_33_0_E
2,810A*02:03Sudan East Rashaida3.72714_0_N_35_0_E
2,811A*02:03Taiwan Ami0.00.00009823_0_N_121_0_E
2,812A*02:03Taiwan Atayal0.90.005010624_0_N_121_0_E
2,813A*02:03Taiwan Bunun0.00.000010123_46_N_121_0_E
2,814A*02:03Taiwan Hakka5.50.03605524_0_N_121_0_E
2,815A*02:03Taiwan Han Chinese0.064050423_46_N_121_0_E
2,816A*02:03Taiwan Minnan pop 112.70.064010224_0_N_121_0_E
2,817A*02:03Taiwan Paiwan0.00.00005123_0_N_121_0_E
2,818A*02:03Taiwan Pazeh9.10.04505525_0_N_121_30_E
2,819A*02:03Taiwan pop 20.056036423_46_N_121_0_E
2,820A*02:03Taiwan pop 30.057021223_46_N_121_0_E
2,821A*02:03Taiwan Puyuma12.00.06005023_0_N_121_0_E
2,822A*02:03Taiwan Rukai0.00.00005023_0_N_121_0_E
2,823A*02:03Taiwan Saisiat2.00.01005124_0_N_121_0_E
2,824A*02:03Taiwan Siraya11.80.05905124_0_N_121_0_E
2,825A*02:03Taiwan Tao0.00.00005024_0_N_121_0_E
2,826A*02:03Taiwan Taroko0.00.00005524_0_N_121_0_E
2,827A*02:03Taiwan Thao0.00.00003024_0_N_121_0_E
2,828A*02:03Taiwan Tsou0.00.00005124_0_N_121_0_E
2,829A*02:03Taiwan Tzu Chi Morrow Donor Registry0.073646,68225_2_N_121_38_E
2,830A*02:03Taiwan Tzu Chi Morrow Donor Registry Aborigine0.019323325_2_N_121_38_E
2,831A*02:03Taiwan Tzu Chi Cord Blood Bank0.073071023_46_N_121_0_E
2,832A*02:03Thailand0.077014216_7_N_102_0_E
2,833A*02:03Thailand Northeast0.12206615_13_N_104_51_E
2,834A*02:03Thailand Northeast pop 20.106040016_27_N_103_10_E
2,835A*02:03Tunisia0.00.000010035_0_N_9_0_E
2,836A*02:03Turkey pop 50.000014240_0_N_28_0_E
2,837A*02:03USA African American0.000025230_0_N_95_0_W
2,838A*02:03USA African American Bethesda0.00.000018738_0_N_78_0_W
2,839A*02:03USA African American pop 40.00022,41144_58_N_93_15_W
2,840A*02:03USA Alaska Yupik0.000025260_48_N_161_26_W
2,841A*02:03USA Asian0.042035830_0_N_95_0_W
2,842A*02:03USA Asian pop 20.03161,77244_58_N_93_15_W
2,843A*02:03USA Caucasian0.061,65538_53_N_77_2_W
2,844A*02:03USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
2,845A*02:03USA Caucasian pop 20.002026530_0_N_95_0_W
2,846A*02:03USA Caucasian pop 40.00091,07038_53_N_77_2_W
2,847A*02:03USA Hispanic0.000023430_0_N_95_0_W
2,848A*02:03USA Hispanic pop 20.00031,99944_58_N_93_15_W
2,849A*02:03USA NMDP African0.000228,55738_45_N_76_6_W
2,850A*02:03USA NMDP African American pop 20.0002416,58138_45_N_76_6_W
2,851A*02:03USA NMDP American Indian South or Central America0.00105,92638_45_N_76_6_W
2,852A*02:03USA NMDP Caribean Black0.000333,32838_45_N_76_6_W
2,853A*02:03USA NMDP Caribean Hispanic0.0001115,37438_45_N_76_6_W
2,854A*02:03USA NMDP Caribean Indian0.002014,33938_45_N_76_6_W
2,855A*02:03USA NMDP Chinese0.077499,67238_45_N_76_6_W
2,856A*02:03USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
2,857A*02:03USA NMDP Filipino0.014950,61438_45_N_76_6_W
2,858A*02:03USA NMDP Hawaiian or other Pacific Islander0.006411,49938_45_N_76_6_W
2,859A*02:03USA NMDP Hispanic South or Central American0.0002146,71438_45_N_76_6_W
2,860A*02:03USA NMDP Japanese0.001424,58238_45_N_76_6_W
2,861A*02:03USA NMDP Korean0.006377,58438_45_N_76_6_W
2,862A*02:03USA NMDP Mexican or Chicano0.0001261,23538_45_N_76_6_W
2,863A*02:03USA NMDP Middle Eastern or North Coast of Africa0.000270,89038_45_N_76_6_W
2,864A*02:03USA NMDP North American Amerindian0.000035,79138_45_N_76_6_W
2,865A*02:03USA NMDP South Asian Indian0.0110185,39138_45_N_76_6_W
2,866A*02:03USA NMDP Southeast Asian0.032127,97838_45_N_76_6_W
2,867A*02:03USA NMDP Vietnamese0.092543,54038_45_N_76_6_W
2,868A*02:03USA North American Native0.000018730_0_N_95_0_W
2,869A*02:03USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
2,870A*02:03USA San Antonio Caucasian0.000022229_23_N_98_33_W
2,871A*02:03USA San Diego1.00.006049632_50_N_117_15_W
2,872A*02:03USA South Texas Hispanic0.000019429_0_N_98_0_W
2,873A*02:03Vietnam Hanoi Kinh pop 20.079017021_2_N_105_51_E
2,874A*02:03:01China Guizhou Province Bouyei0.103010926_50_N_106_50_E
2,875A*02:03:01China Guizhou Province Miao pop 20.12408526_50_N_106_50_E
2,876A*02:03:01China Guizhou Province Shui0.112015326_50_N_106_50_E
2,877A*02:03:01China Inner Mongolia Region0.005010236_0_N_102_0_E
2,878A*02:03:01China Jingpo Minority17.50.097110525_0_N_102_0_E
2,879A*02:03:01China Qinghai Province Hui0.023011036_0_N_102_0_E
2,880A*02:03:01China Yunnan Province Jinuo0.078010924_30_N_101_30_E
2,881A*02:03:01China Yunnan Province Lisu0.152011124_30_N_101_30_E
2,882A*02:03:01China Yunnan Province Nu0.082010724_30_N_101_30_E
2,883A*02:03:01China Yunnan Province Wa0.055011924_30_N_101_30_E
2,884A*02:03:01China Zhejiang Han0.03581,73427_2_N_118_1_E
2,885A*02:03:01England Blood Donors of Mixed Ethnicity0.20.001051952_21_N_1_10_W
2,886A*02:03:01Hong Kong Chinese HKBMDR HLA 11 loci16.00.08465,26622_25_N_114_17_E
2,887A*02:03:01India Andhra Pradesh Telugu Speaking4.80.024218613_4_N_80_14_E
2,888A*02:03:01India Karnataka Kannada Speaking2.90.014017412_57_N_77_36_E
2,889A*02:03:01India Kerala Malayalam speaking1.10.006035613_1_N_80_15_E
2,890A*02:03:01Indonesia Java pop 20.0690366_8_S_106_10_E
2,891A*02:03:01Indonesia Sundanese and Javanese0.03702016_8_S_106_10_E
2,892A*02:03:01Poland BMR0.00.000023,59552_0_N_19_22_E
2,893A*02:03:01Saudi Arabia pop 6 (G)0.001728,92723_52_N_45_4_E
2,894A*02:03:01South African Mixed ancestry2.00.01005029_22_S_24_31_E
2,895A*02:03:01Vietnam Kinh15.00.074310114_5_N_108_27_E
2,896A*02:03:02China North Han0.000010539_54_N_116_24_E
2,897A*02:03:02Hong Kong Chinese HKBMDR HLA 11 loci0.00.00025,26622_25_N_114_17_E
2,898A*02:03:02Vietnam Kinh1.00.005010114_5_N_108_27_E
2,899A*02:04Brazil Barra Mansa Rio State Black0.00687322_32_S_44_10_W
2,900A*02:04Brazil Barra Mansa Rio State Caucasian0.003740522_32_S_44_10_W
2,901A*02:04Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
2,902A*02:04Brazil Mixed0.005010823_10_S_47_48_W
2,903A*02:04Brazil Rio de Janeiro Caucasian0.002952122_54_S_43_12_W
2,904A*02:04Brazil Rio de Janeiro Parda0.005917022_54_S_43_12_W
2,905A*02:04Bulgaria0.00005542_0_N_23_0_E
2,906A*02:04Cameroon Yaounde0.0060923_52_N_11_31_E
2,907A*02:04China Beijing Shijiazhuang Tianjian Han0.004061839_54_N_116_24_E
2,908A*02:04China North Han0.000010539_54_N_116_24_E
2,909A*02:04China Tibet Region Tibetan0.003015829_39_N_91_7_E
2,910A*02:04Colombia Bogotá Cord Blood0.20.00101,4634_39_N_73_52_W
2,911A*02:04Colombia North Chimila Amerindians0.04254710_1_N_74_13_W
2,912A*02:04Croatia0.000015045_0_N_15_0_E
2,913A*02:04Cuba Caucasian0.00.00007023_8_N_82_22_W
2,914A*02:04Cuba Mixed Race0.00.00004223_8_N_82_22_W
2,915A*02:04Czech Republic0.000010650_0_N_14_0_E
2,916A*02:04Czech Republic NMDR0.00015,09949_48_N_15_30_E
2,917A*02:04Georgia Svaneti Region Svan0.01908042_54_N_43_0_E
2,918A*02:04Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
2,919A*02:04Hong Kong Chinese0.00.000056922_16_N_114_9_E
2,920A*02:04Iran Baloch0.006010029_29_N_60_52_E
2,921A*02:04Ireland Northern0.00.00001,00054_40_N_6_45_W
2,922A*02:04Israel Arab pop 20.000012,30132_8_N_34_52_E
2,923A*02:04Israel Argentina Jews0.00004,30732_8_N_34_52_E
2,924A*02:04Israel USSR Jews0.000145,68132_9_N_34_50_E
2,925A*02:04Italy Bergamo0.00.000010145_42_N_9_40_E
2,926A*02:04Italy North pop 30.00.00009743_0_N_12_0_E
2,927A*02:04Italy pop 50.001097545_28_N_9_11_E
2,928A*02:04Japan Okinawa Ryukyuan0.014014326_4_N_127_8_E
2,929A*02:04Kenya0.00701441_28_S_36_8_E
2,930A*02:04Kenya Luo0.00002650_0_S_34_6_E
2,931A*02:04Kenya Nandi0.00002400_0_S_35_0_E
2,932A*02:04Mali Bandiagara0.000013814_4_N_3_6_W
2,933A*02:04Mexico Guadalajara Mestizo pop 20.005010320_40_N_103_21_W
2,934A*02:04Mexico Mestizo0.00.00004119_24_N_99_9_W
2,935A*02:04Mongolia Buryat0.004014147_6_N_118_6_E
2,936A*02:04Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
2,937A*02:04Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
2,938A*02:04Netherlands Leiden0.00001,30552_9_N_4_31_E
2,939A*02:04Oman0.00.000011822_0_N_56_0_E
2,940A*02:04Pakistan Baloch0.00006630_0_N_67_0_E
2,941A*02:04Pakistan Brahui0.000010430_0_N_67_0_E
2,942A*02:04Pakistan Burusho0.00009236_0_N_73_0_E
2,943A*02:04Pakistan Kalash0.00006932_0_N_70_0_E
2,944A*02:04Pakistan Karachi Parsi0.00009124_49_N_66_59_E
2,945A*02:04Pakistan Mixed Pathan0.000010032_0_N_70_0_E
2,946A*02:04Pakistan Mixed Sindhi0.000010124_0_N_68_0_E
2,947A*02:04Panama0.00114628_59_N_79_37_W
2,948A*02:04Philippines Ivatan0.00.00005020_22_N_121_56_E
2,949A*02:04Romania0.00.000034846_0_N_25_0_E
2,950A*02:04Scotland Orkney0.00.00009958_59_N_3_11_W
2,951A*02:04Singapore Chinese0.00.00001491_24_N_103_45_E
2,952A*02:04South Africa Natal Zulu0.00.000010029_0_S_31_0_E
2,953A*02:04South Korea pop 30.000048537_33_N_126_59_E
2,954A*02:04Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.00.00014,33541_22_N_2_11_E
2,955A*02:04Taiwan Ami0.00.00009823_0_N_121_0_E
2,956A*02:04Taiwan Atayal0.00.000010624_0_N_121_0_E
2,957A*02:04Taiwan Bunun0.00.000010123_46_N_121_0_E
2,958A*02:04Taiwan Hakka0.00.00005524_0_N_121_0_E
2,959A*02:04Taiwan Minnan pop 10.00.000010224_0_N_121_0_E
2,960A*02:04Taiwan Paiwan0.00.00005123_0_N_121_0_E
2,961A*02:04Taiwan Pazeh0.00.00005525_0_N_121_30_E
2,962A*02:04Taiwan Puyuma0.00.00005023_0_N_121_0_E
2,963A*02:04Taiwan Rukai0.00.00005023_0_N_121_0_E
2,964A*02:04Taiwan Saisiat0.00.00005124_0_N_121_0_E
2,965A*02:04Taiwan Siraya0.00.00005124_0_N_121_0_E
2,966A*02:04Taiwan Tao0.00.00005024_0_N_121_0_E
2,967A*02:04Taiwan Taroko0.00.00005524_0_N_121_0_E
2,968A*02:04Taiwan Thao0.00.00003024_0_N_121_0_E
2,969A*02:04Taiwan Tsou0.00.00005124_0_N_121_0_E
2,970A*02:04Tunisia0.00.000010035_0_N_9_0_E
2,971A*02:04Tunisia Gabes0.05269533_53_N_10_6_E
2,972A*02:04Turkey pop 50.000014240_0_N_28_0_E
2,973A*02:04Uganda Kampala0.00001610_3_N_32_6_E
2,974A*02:04USA African American Bethesda0.00.000018738_0_N_78_0_W
2,975A*02:04USA African American pop 40.00022,41144_58_N_93_15_W
2,976A*02:04USA Alaska Yupik0.000025260_48_N_161_26_W
2,977A*02:04USA Asian pop 20.00001,77244_58_N_93_15_W
2,978A*02:04USA Caucasian0.761,65538_53_N_77_2_W
2,979A*02:04USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
2,980A*02:04USA Hispanic pop 20.00281,99944_58_N_93_15_W
2,981A*02:04USA NMDP African0.000328,55738_45_N_76_6_W
2,982A*02:04USA NMDP African American pop 20.0000416,58138_45_N_76_6_W
2,983A*02:04USA NMDP Caribean Black0.000633,32838_45_N_76_6_W
2,984A*02:04USA NMDP Caribean Hispanic0.0089115,37438_45_N_76_6_W
2,985A*02:04USA NMDP Caribean Indian0.008014,33938_45_N_76_6_W
2,986A*02:04USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
2,987A*02:04USA NMDP Hispanic South or Central American0.0016146,71438_45_N_76_6_W
2,988A*02:04USA NMDP Korean0.000077,58438_45_N_76_6_W
2,989A*02:04USA NMDP Mexican or Chicano0.0003261,23538_45_N_76_6_W
2,990A*02:04USA NMDP Middle Eastern or North Coast of Africa0.000070,89038_45_N_76_6_W
2,991A*02:04USA NMDP North American Amerindian0.000135,79138_45_N_76_6_W
2,992A*02:04USA NMDP Vietnamese0.000043,54038_45_N_76_6_W
2,993A*02:04USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
2,994A*02:04USA San Antonio Caucasian0.000022229_23_N_98_33_W
2,995A*02:04USA South Texas Hispanic0.000019429_0_N_98_0_W
2,996A*02:04USA Spain Ancestry0.007027938_0_N_77_0_W
2,997A*02:04Venezuela Sierra de Perija Yucpa0.3140739_0_N_72_0_W
2,998A*02:04Zambia Lusaka0.00004415_25_S_28_17_E
2,999A*02:05Armenia combined Regions0.005010040_11_N_44_31_E
3,000A*02:05Australia New South Wales Caucasian0.008013433_0_S_146_0_E
3,001A*02:05Australia Yuendumu Aborigine0.000019122_15_S_131_47_E
3,002A*02:05Austria2.50.012020048_13_N_16_21_E
3,003A*02:05Azores Central Islands0.00905938_0_N_28_0_W
3,004A*02:05Azores Oriental Islands0.01304336_58_N_25_6_W
3,005A*02:05Azores Terceira Island0.031013038_44_N_27_19_W
3,006A*02:05Belgium1.00.00509950_50_N_4_21_E
3,007A*02:05Brazil Puyanawa1.30.007015010_52_S_53_5_W
3,008A*02:05Brazil Belo Horizonte Caucasian5.30.02609519_55_S_43_56_W
3,009A*02:05Brazil Mixed0.015010823_10_S_47_48_W
3,010A*02:05Brazil Vale do Ribeira Quilombos0.00.000014424_36_S_48_15_W
3,011A*02:05Bulgaria0.02705542_0_N_23_0_E
3,012A*02:05Burkina Faso Fulani0.09204912_50_N_1_50_W
3,013A*02:05Burkina Faso Rimaibe0.04304712_50_N_1_50_W
3,014A*02:05Cameroon Baka Pygmy0.0500108_30_N_14_0_E
3,015A*02:05Cameroon Bamileke0.0260775_28_N_10_25_E
3,016A*02:05Cameroon Beti0.01101742_55_N_11_9_E
3,017A*02:05Cameroon Sawa0.0380134_50_N_10_0_E
3,018A*02:05Cameroon Yaounde0.0220923_52_N_11_31_E
3,019A*02:05Cape Verde Northwestern Islands0.00006216_0_N_24_0_W
3,020A*02:05Cape Verde Southeastern Islands0.00806216_0_N_24_0_W
3,021A*02:05China Beijing0.00006739_58_N_116_24_E
3,022A*02:05China Beijing Shijiazhuang Tianjian Han0.002061839_54_N_116_24_E
3,023A*02:05China Guangzhou0.005010223_6_N_113_15_E
3,024A*02:05China Hubei Han0.50.00233,73230_45_N_114_15_E
3,025A*02:05China Inner Mongolia Region0.005010236_0_N_102_0_E
3,026A*02:05China Jiangsu Han0.00303,23832_54_N_119_48_E
3,027A*02:05China Jiangsu Province Han0.003533432_54_N_119_48_E
3,028A*02:05China Marrow Donor Registry0.002060039_54_N_116_23_E
3,029A*02:05China North Han0.014010539_54_N_116_24_E
3,030A*02:05China Qinghai Province Hui0.009011036_0_N_102_0_E
3,031A*02:05China Tibet Region Tibetan0.000015829_39_N_91_7_E
3,032A*02:05China Uyghur HIV negative0.02601936_34_N_103_49_E
3,033A*02:05Colombia Bogotá Cord Blood3.10.01671,4634_39_N_73_52_W
3,034A*02:05Croatia0.007015045_0_N_15_0_E
3,035A*02:05Croatia pop 40.00794,00045_48_N_15_57_E
3,036A*02:05Cuba Caucasian4.30.02107023_8_N_82_22_W
3,037A*02:05Cuba Mixed Race4.80.02404223_8_N_82_22_W
3,038A*02:05Czech Republic0.024010650_0_N_14_0_E
3,039A*02:05Czech Republic NMDR0.00825,09949_48_N_15_30_E
3,040A*02:05Ecuador Amerindians0.0079630_13_S_78_30_W
3,041A*02:05England North West2.00.010029853_0_N_3_0_W
3,042A*02:05France French Bone Marrow Donor Registry0.009442,62348_51_N_2_21_E
3,043A*02:05France Southeast3.10.016013046_0_N_5_0_E
3,044A*02:05Gaza11.90.05954231_22_N_34_18_E
3,045A*02:05Georgia Svaneti Region Svan0.00608042_54_N_43_0_E
3,046A*02:05Georgia Tibilisi0.014010941_41_N_44_57_E
3,047A*02:05Georgia Tibilisi Kurd0.05003141_41_N_44_57_E
3,048A*02:05Germany DKMS - Austria minority0.00941,69848_31_N_9_3_E
3,049A*02:05Germany DKMS - Bosnia and Herzegovina minority0.00881,02848_31_N_9_3_E
3,050A*02:05Germany DKMS - China minority0.00431,28248_31_N_9_3_E
3,051A*02:05Germany DKMS - Croatia minority0.00712,05748_31_N_9_3_E
3,052A*02:05Germany DKMS - France minority0.00791,40648_31_N_9_3_E
3,053A*02:05Germany DKMS - German donors0.00703,456,06648_31_N_9_3_E
3,054A*02:05Germany DKMS - Greece minority0.00901,89448_31_N_9_3_E
3,055A*02:05Germany DKMS - Italy minority0.02241,15948_31_N_9_3_E
3,056A*02:05Germany DKMS - Netherlands minority0.00511,37448_31_N_9_3_E
3,057A*02:05Germany DKMS - Portugal minority0.01791,17648_31_N_9_3_E
3,058A*02:05Germany DKMS - Romania minority0.00731,23448_31_N_9_3_E
3,059A*02:05Germany DKMS - Spain minority0.01221,10748_31_N_9_3_E
3,060A*02:05Germany DKMS - Turkey minority0.01814,85648_31_N_9_3_E
3,061A*02:05Germany DKMS - United Kingdom minority0.00861,04348_31_N_9_3_E
3,062A*02:05Germany pop 60.00648,86251_6_N_10_23_E
3,063A*02:05Germany pop 80.009339,68948_24_N_9_58_E
3,064A*02:05Ghana Ga-Adangbe2.30.01531315_45_N_0_12_E
3,065A*02:05Greece pop 60.006224237_58_N_23_43_E
3,066A*02:05Greece pop 82.40.01218337_58_N_23_43_E
3,067A*02:05Guinea Bissau0.00006512_0_N_15_0_W
3,068A*02:05Guinea Bissau Balanta0.01004811_52_N_15_36_W
3,069A*02:05Guinea Bissau Bijago0.02202311_52_N_15_36_W
3,070A*02:05Guinea Bissau Fula0.00003111_52_N_15_36_W
3,071A*02:05Guinea Bissau Papel0.00002511_52_N_15_36_W
3,072A*02:05Hong Kong Chinese0.00.000056922_16_N_114_9_E
3,073A*02:05Hong Kong Chinese BMDR0.00117,59522_15_N_114_10_E
3,074A*02:05Hong Kong Chinese cord blood registry0.00103,89222_15_N_114_10_E
3,075A*02:05India Delhi pop 22.20.01109028_36_N_77_13_E
3,076A*02:05India New Delhi0.03007128_37_N_77_13_E
3,077A*02:05India North pop 20.01007225_0_N_74_0_E
3,078A*02:05India Tamil Nadu0.00322,49211_32_N_78_52_E
3,079A*02:05Iran Baloch0.006010029_29_N_60_52_E
3,080A*02:05Ireland Northern2.40.01201,00054_40_N_6_45_W
3,081A*02:05Ireland South0.80.004025053_20_N_6_15_W
3,082A*02:05Israel Arab Druze0.040010131_8_N_35_2_E
3,083A*02:05Israel Arab pop 20.032912,30132_8_N_34_52_E
3,084A*02:05Israel Argentina Jews0.00574,30732_8_N_34_52_E
3,085A*02:05Israel Ashkenazi and Non Ashkenazi Jews0.043014631_8_N_35_2_E
3,086A*02:05Israel Ashkenazi Jews pop 30.01104,62532_8_N_34_52_E
3,087A*02:05Israel Bukhara Jews0.02282,31732_8_N_34_52_E
3,088A*02:05Israel Druze0.01565,91432_41_N_35_17_E
3,089A*02:05Israel Ethiopia Jews0.02955,92832_8_N_34_52_E
3,090A*02:05Israel Georgia Jews0.00574,47132_10_N_34_53_E
3,091A*02:05Israel Iran Jews0.00168,15332_8_N_34_52_E
3,092A*02:05Israel Iraq Jews0.004013,27032_10_N_34_52_E
3,093A*02:05Israel Kavkazi Jews0.00832,84032_10_N_34_52_E
3,094A*02:05Israel Libya Jews0.01603,73932_10_N_34_52_E
3,095A*02:05Israel Morocco Jews0.009336,71832_10_N_34_52_E
3,096A*02:05Israel Poland Jews0.013513,87132_10_N_34_52_E
3,097A*02:05Israel Tunisia Jews0.00829,07032_10_N_34_52_E
3,098A*02:05Israel USA Jews0.00656,05832_10_N_34_52_E
3,099A*02:05Israel USSR Jews0.005445,68132_9_N_34_50_E
3,100A*02:05Israel YemenJews0.009215,54232_9_N_34_50_E
3,101A*02:05Italy Bergamo4.00.021010145_42_N_9_40_E
3,102A*02:05Italy North pop 311.50.05809743_0_N_12_0_E
3,103A*02:05Italy pop 50.023097545_28_N_9_11_E
3,104A*02:05Japan pop 160.000118,60435_41_N_139_46_E
3,105A*02:05Kenya0.01401441_28_S_36_8_E
3,106A*02:05Kenya Luo0.02602650_0_S_34_6_E
3,107A*02:05Kenya Nandi0.08702400_0_S_35_0_E
3,108A*02:05Kenya, Nyanza Province, Luo tribe4.00.02001000_5_S_34_46_E
3,109A*02:05Madeira0.022018532_44_N_16_58_W
3,110A*02:05Malaysia Peninsular Indian1.50.00742713_9_N_101_57_E
3,111A*02:05Malaysia Peninsular Malay0.10.00059513_9_N_101_57_E
3,112A*02:05Mali Bandiagara0.022013814_4_N_3_6_W
3,113A*02:05Mexico Mestizo0.00.00004119_24_N_99_9_W
3,114A*02:05Mexico Mexico City Mestizo pop 20.017123419_26_N_99_8_W
3,115A*02:05Mexico Mexico City Mestizo population0.003514319_25_N_99_7_W
3,116A*02:05Mexico Oaxaca Mixtec0.010010317_5_N_96_45_W
3,117A*02:05Mexico Oaxaca Zapotec0.00009017_5_N_96_45_W
3,118A*02:05Mongolia Buryat0.032014147_6_N_118_6_E
3,119A*02:05Morocco Atlantic Coast Chaouya0.01409830_22_N_7_22_W
3,120A*02:05Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
3,121A*02:05Morocco Settat Chaouya2.80.01409833_0_N_7_36_W
3,122A*02:05Netherlands Leiden0.00501,30552_9_N_4_31_E
3,123A*02:05New Zealand Maori with Admixed History3.80.019010542_0_S_174_0_E
3,124A*02:05New Zealand Maori with Full Ancestry2.20.01104642_0_S_174_0_E
3,125A*02:05Nicaragua Managua2.10.010533912_7_N_86_10_W
3,126A*02:05Oman4.20.021011822_0_N_56_0_E
3,127A*02:05Pakistan Baloch0.00006630_0_N_67_0_E
3,128A*02:05Pakistan Brahui0.006010430_0_N_67_0_E
3,129A*02:05Pakistan Burusho0.00009236_0_N_73_0_E
3,130A*02:05Pakistan Kalash0.00006932_0_N_70_0_E
3,131A*02:05Pakistan Karachi Parsi0.00609124_49_N_66_59_E
3,132A*02:05Pakistan Mixed Pathan0.005010032_0_N_70_0_E
3,133A*02:05Pakistan Mixed Sindhi0.025010124_0_N_68_0_E
3,134A*02:05Panama0.01024628_59_N_79_37_W
3,135A*02:05Philippines Ivatan0.00.00005020_22_N_121_56_E
3,136A*02:05Poland0.010020051_7_N_17_2_E
3,137A*02:05Poland DKMS0.006620,65352_8_N_19_23_E
3,138A*02:05Portugal Azores Terceira Island4.40.026313038_43_N_27_13_W
3,139A*02:05Portugal Center0.01005039_0_N_8_0_W
3,140A*02:05Portugal North0.01104641_0_N_8_0_W
3,141A*02:05Portugal South0.01004937_0_N_8_0_W
3,142A*02:05Romania0.30.001034846_0_N_25_0_E
3,143A*02:05Russia Karelia0.00171,07563_9_N_32_59_E
3,144A*02:05Russia Tuva pop 20.008016951_30_N_95_5_E
3,145A*02:05Sao Tome Island Angolar0.0160320_20_N_6_44_E
3,146A*02:05Sao Tome Island Forro0.0380660_20_N_6_44_E
3,147A*02:05Saudi Arabia Guraiat and Hail12.20.061021327_31_N_41_41_E
3,148A*02:05Senegal Niokholo Mandenka0.011016512_35_N_12_9_W
3,149A*02:05Singapore Chinese0.00.00001491_24_N_103_45_E
3,150A*02:05Singapore SGVP Chinese CHS0.0000961_21_N_103_50_E
3,151A*02:05Singapore SGVP Malay MAS0.0060891_21_N_103_50_E
3,152A*02:05Singapore SGVP. Indian INS0.0060861_21_N_103_50_E
3,153A*02:05South Africa Caucasians0.005010230_0_S_25_0_E
3,154A*02:05South Africa Natal Zulu11.00.055010029_0_S_31_0_E
3,155A*02:05South Africa Worcester9.00.050015933_39_S_19_27_E
3,156A*02:05South Korea pop 100.00094,12837_33_N_126_58_E
3,157A*02:05South Korea pop 30.000048537_33_N_126_59_E
3,158A*02:05Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,2.90.01454,33541_22_N_2_11_E
3,159A*02:05Spain Catalonia Girona0.02308841_59_N_2_49_E
3,160A*02:05Spain Gipuzkoa Basque0.010010043_10_N_2_10_W
3,161A*02:05Sri Lanka Colombo0.80.00407146_56_N_79_50_E
3,162A*02:05Sudan Central Shaigiya Mixed38.83618_0_N_33_0_E
3,163A*02:05Sudan East Rashaida22.22714_0_N_35_0_E
3,164A*02:05Sudan Mixed13.00.06502005_0_N_35_0_E
3,165A*02:05Taiwan Ami0.00.00009823_0_N_121_0_E
3,166A*02:05Taiwan Atayal0.00.000010624_0_N_121_0_E
3,167A*02:05Taiwan Bunun0.00.000010123_46_N_121_0_E
3,168A*02:05Taiwan Hakka0.00.00005524_0_N_121_0_E
3,169A*02:05Taiwan Minnan pop 10.00.000010224_0_N_121_0_E
3,170A*02:05Taiwan Paiwan0.00.00005123_0_N_121_0_E
3,171A*02:05Taiwan Pazeh0.00.00005525_0_N_121_30_E
3,172A*02:05Taiwan pop 20.002036423_46_N_121_0_E
3,173A*02:05Taiwan Puyuma0.00.00005023_0_N_121_0_E
3,174A*02:05Taiwan Rukai0.00.00005023_0_N_121_0_E
3,175A*02:05Taiwan Saisiat0.00.00005124_0_N_121_0_E
3,176A*02:05Taiwan Siraya0.00.00005124_0_N_121_0_E
3,177A*02:05Taiwan Tao0.00.00005024_0_N_121_0_E
3,178A*02:05Taiwan Taroko0.00.00005524_0_N_121_0_E
3,179A*02:05Taiwan Thao0.00.00003024_0_N_121_0_E
3,180A*02:05Taiwan Tsou0.00.00005124_0_N_121_0_E
3,181A*02:05Taiwan Tzu Chi Morrow Donor Registry0.000646,68225_2_N_121_38_E
3,182A*02:05Taiwan Tzu Chi Morrow Donor Registry Aborigine0.000023325_2_N_121_38_E
3,183A*02:05Taiwan Tzu Chi Cord Blood Bank0.000071023_46_N_121_0_E
3,184A*02:05Tanzania Maasai10.40.05373363_11_S_37_4_E
3,185A*02:05Thailand Northeast0.00406615_13_N_104_51_E
3,186A*02:05Thailand Northeast pop 20.002040016_27_N_103_10_E
3,187A*02:05Tunisia5.00.025010035_0_N_9_0_E
3,188A*02:05Turkey pop 50.035014240_0_N_28_0_E
3,189A*02:05Uganda Kampala0.02201610_3_N_32_6_E
3,190A*02:05Uganda Kampala pop 20.01401750_20_N_32_30_E
3,191A*02:05United Arab Emirates Abu Dhabi0.03855224_28_N_54_22_E
3,192A*02:05USA African American0.030025230_0_N_95_0_W
3,193A*02:05USA African American Bethesda3.00.015018738_0_N_78_0_W
3,194A*02:05USA African American pop 20.017014932_46_N_96_46_W
3,195A*02:05USA African American pop 30.022056438_53_N_77_2_W
3,196A*02:05USA African American pop 40.01872,41144_58_N_93_15_W
3,197A*02:05USA Alaska Yupik0.000025260_48_N_161_26_W
3,198A*02:05USA Asian0.001035830_0_N_95_0_W
3,199A*02:05USA Asian pop 20.00341,77244_58_N_93_15_W
3,200A*02:05USA Caucasian0.761,65538_53_N_77_2_W
3,201A*02:05USA Caucasian Bethesda1.40.007030738_0_N_78_0_W
3,202A*02:05USA Caucasian pop 20.008026530_0_N_95_0_W
3,203A*02:05USA Caucasian pop 30.01108832_46_N_96_48_W
3,204A*02:05USA Caucasian pop 40.00751,07038_53_N_77_2_W
3,205A*02:05USA Eastern European0.016055838_53_N_77_2_W
3,206A*02:05USA Hispanic0.015023430_0_N_95_0_W
3,207A*02:05USA Hispanic pop 20.01481,99944_58_N_93_15_W
3,208A*02:05USA Italy Ancestry0.016027338_0_N_77_0_W
3,209A*02:05USA Mexican American Mestizo0.014055338_53_N_77_2_W
3,210A*02:05USA NMDP African0.020728,55738_45_N_76_6_W
3,211A*02:05USA NMDP African American pop 20.0149416,58138_45_N_76_6_W
3,212A*02:05USA NMDP Alaska Native or Aleut0.00501,37638_45_N_76_6_W
3,213A*02:05USA NMDP American Indian South or Central America0.00905,92638_45_N_76_6_W
3,214A*02:05USA NMDP Caribean Black0.016733,32838_45_N_76_6_W
3,215A*02:05USA NMDP Caribean Hispanic0.0223115,37438_45_N_76_6_W
3,216A*02:05USA NMDP Caribean Indian0.022014,33938_45_N_76_6_W
3,217A*02:05USA NMDP Chinese0.001499,67238_45_N_76_6_W
3,218A*02:05USA NMDP European Caucasian0.00971,242,89038_45_N_76_6_W
3,219A*02:05USA NMDP Filipino0.001150,61438_45_N_76_6_W
3,220A*02:05USA NMDP Hawaiian or other Pacific Islander0.003211,49938_45_N_76_6_W
3,221A*02:05USA NMDP Hispanic South or Central American0.0148146,71438_45_N_76_6_W
3,222A*02:05USA NMDP Japanese0.000624,58238_45_N_76_6_W
3,223A*02:05USA NMDP Korean0.000877,58438_45_N_76_6_W
3,224A*02:05USA NMDP Mexican or Chicano0.0142261,23538_45_N_76_6_W
3,225A*02:05USA NMDP Middle Eastern or North Coast of Africa0.021270,89038_45_N_76_6_W
3,226A*02:05USA NMDP North American Amerindian0.007235,79138_45_N_76_6_W
3,227A*02:05USA NMDP South Asian Indian0.0100185,39138_45_N_76_6_W
3,228A*02:05USA NMDP Southeast Asian0.008627,97838_45_N_76_6_W
3,229A*02:05USA NMDP Vietnamese0.000943,54038_45_N_76_6_W
3,230A*02:05USA North American Native0.005018730_0_N_95_0_W
3,231A*02:05USA Philadelphia Caucasian3.70.019014139_56_N_75_10_W
3,232A*02:05USA San Antonio Caucasian0.012022229_23_N_98_33_W
3,233A*02:05USA San Diego2.60.013049632_50_N_117_15_W
3,234A*02:05USA San Francisco Caucasian0.009022037_46_N_122_25_W
3,235A*02:05USA South Texas Hispanic0.008019429_0_N_98_0_W
3,236A*02:05USA Spain Ancestry0.022027938_0_N_77_0_W
3,237A*02:05Zambia Lusaka0.00004415_25_S_28_17_E
3,238A*02:05Zimbabwe Harare Shona0.031023017_51_S_31_1_E
3,239A*02:05:01Brazil Barra Mansa Rio State Black0.00687322_32_S_44_10_W
3,240A*02:05:01Brazil Barra Mansa Rio State Caucasian0.014840522_32_S_44_10_W
3,241A*02:05:01Brazil Rio de Janeiro Black0.01476822_54_S_43_12_W
3,242A*02:05:01Brazil Rio de Janeiro Caucasian0.012552122_54_S_43_12_W
3,243A*02:05:01Brazil Rio de Janeiro Parda0.014717022_54_S_43_12_W
3,244A*02:05:01China Zhejiang Han0.00141,73427_2_N_118_1_E
3,245A*02:05:01Costa Rica African -Caribbean (G)2.00.01001029_59_N_83_1_W
3,246A*02:05:01Costa Rica Amerindians (G)0.80.00401259_34_N_83_25_W
3,247A*02:05:01Costa Rica Central Valley Mestizo (G)1.40.00702219_55_N_84_5_W
3,248A*02:05:01Costa Rica Guanacaste Mestizo (G)5.40.027011010_16_N_85_37_W
3,249A*02:05:01England Blood Donors of Mixed Ethnicity1.40.006751952_21_N_1_10_W
3,250A*02:05:01Hong Kong Chinese HKBMDR HLA 11 loci0.10.00065,26622_25_N_114_17_E
3,251A*02:05:01India Karnataka Kannada Speaking0.60.003017412_57_N_77_36_E
3,252A*02:05:01India Kerala Malayalam speaking0.60.003035613_1_N_80_15_E
3,253A*02:05:01Libya Cyrenaica0.051011832_7_N_20_4_E
3,254A*02:05:01Nicaragua Mestizo (G)2.60.013015512_40_N_85_13_W
3,255A*02:05:01Poland BMR1.30.006523,59552_0_N_19_22_E
3,256A*02:05:01Russia Belgorod region1.30.006515350_46_N_37_27_E
3,257A*02:05:01Russia Bashkortostan, Bashkirs2.50.012512054_0_N_55_0_E
3,258A*02:05:01Russia Bashkortostan, Tatars1.60.007819254_13_N_56_9_E
3,259A*02:05:01Russia Nizhny Novgorod, Russians1.10.00531,51056_19_N_43_59_E
3,260A*02:05:01Saudi Arabia pop 56.30.038015824_38_N_46_43_E
3,261A*02:05:01Saudi Arabia pop 6 (G)0.044328,92723_52_N_45_4_E
3,262A*02:05:01South African Black12.00.063414229_9_S_24_39_E
3,263A*02:05:01South African Indian population2.00.01005029_22_S_24_31_E
3,264A*02:05:01Spain, Canary Islands, Gran canaria island1.40.006921527_57_N_15_36_W
3,265A*02:05:01USA Arizona Gila River Pima0.00143,00033_4_N_111_43_W
3,266A*02:05:01USA San Francisco Caucasian0.009022037_46_N_122_25_W
3,267A*02:05:03Saudi Arabia pop 50.60.003215824_38_N_46_43_E
3,268A*02:06American Samoa0.13005114_18_S_170_42_W
3,269A*02:06Armenia combined Regions0.005010040_11_N_44_31_E
3,270A*02:06Australia New South Wales Caucasian0.000013433_0_S_146_0_E
3,271A*02:06Australia Yuendumu Aborigine0.000019122_15_S_131_47_E
3,272A*02:06Austria0.50.002020048_13_N_16_21_E
3,273A*02:06Azores Terceira Island0.004013038_44_N_27_19_W
3,274A*02:06Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
3,275A*02:06Bulgaria0.00005542_0_N_23_0_E
3,276A*02:06Chile Santiago Mixed1.07033_26_S_70_39_W
3,277A*02:06China Beijing0.04806739_58_N_116_24_E
3,278A*02:06China Beijing Shijiazhuang Tianjian Han0.047061839_54_N_116_24_E
3,279A*02:06China Canton Han0.038026423_6_N_113_15_E
3,280A*02:06China Guangxi Region Maonan0.046010823_48_N_108_59_E
3,281A*02:06China Guangzhou0.040010223_6_N_113_15_E
3,282A*02:06China Han HIV negative0.06307236_34_N_103_49_E
3,283A*02:06China Henan HIV negative0.06301634_0_N_113_40_E
3,284A*02:06China Hubei Han7.50.03763,73230_45_N_114_15_E
3,285A*02:06China Jiangsu Han0.05603,23832_54_N_119_48_E
3,286A*02:06China Jiangsu Province Han0.043633432_54_N_119_48_E
3,287A*02:06China Marrow Donor Registry0.036060039_54_N_116_23_E
3,288A*02:06China North Han0.071010539_54_N_116_24_E
3,289A*02:06China Shanxi HIV negative0.04502236_5_N_111_50_E
3,290A*02:06China Sichuan HIV negative0.04403430_50_N_102_49_E
3,291A*02:06China South Han0.035028423_1_N_113_3_E
3,292A*02:06China Southwest Dai0.008012422_0_N_100_48_E
3,293A*02:06China Tibet Region Tibetan0.000015829_39_N_91_7_E
3,294A*02:06China Uyghur HIV negative0.05301936_34_N_103_49_E
3,295A*02:06China Yunnan Hani0.013015021_59_N_100_49_E
3,296A*02:06China Yunnan Province Han0.059010124_2_N_105_3_E
3,297A*02:06Colombia Bogotá Cord Blood0.10.00071,4634_39_N_73_52_W
3,298A*02:06Croatia0.003015045_0_N_15_0_E
3,299A*02:06Croatia pop 40.00164,00045_48_N_15_57_E
3,300A*02:06Cuba Caucasian0.00.00007023_8_N_82_22_W
3,301A*02:06Cuba Mixed Race0.00.00004223_8_N_82_22_W
3,302A*02:06Czech Republic0.005010650_0_N_14_0_E
3,303A*02:06Czech Republic NMDR0.00215,09949_48_N_15_30_E
3,304A*02:06Germany DKMS - Austria minority0.00211,69848_31_N_9_3_E
3,305A*02:06Germany DKMS - China minority0.05431,28248_31_N_9_3_E
3,306A*02:06Germany DKMS - Croatia minority0.00152,05748_31_N_9_3_E
3,307A*02:06Germany DKMS - France minority0.00231,40648_31_N_9_3_E
3,308A*02:06Germany DKMS - German donors0.00193,456,06648_31_N_9_3_E
3,309A*02:06Germany DKMS - Greece minority0.00051,89448_31_N_9_3_E
3,310A*02:06Germany DKMS - Italy minority0.00041,15948_31_N_9_3_E
3,311A*02:06Germany DKMS - Netherlands minority0.00221,37448_31_N_9_3_E
3,312A*02:06Germany DKMS - Portugal minority0.00061,17648_31_N_9_3_E
3,313A*02:06Germany DKMS - Romania minority0.00121,23448_31_N_9_3_E
3,314A*02:06Germany DKMS - Turkey minority0.00584,85648_31_N_9_3_E
3,315A*02:06Germany DKMS - United Kingdom minority0.00101,04348_31_N_9_3_E
3,316A*02:06Germany pop 60.00258,86251_6_N_10_23_E
3,317A*02:06Germany pop 80.002139,68948_24_N_9_58_E
3,318A*02:06Ghana Ga-Adangbe0.80.00381315_45_N_0_12_E
3,319A*02:06Guinea Bissau Balanta0.00004811_52_N_15_36_W
3,320A*02:06Guinea Bissau Bijago0.02202311_52_N_15_36_W
3,321A*02:06Guinea Bissau Fula0.00003111_52_N_15_36_W
3,322A*02:06Guinea Bissau Papel0.00002511_52_N_15_36_W
3,323A*02:06Hong Kong Chinese9.30.047056922_16_N_114_9_E
3,324A*02:06Hong Kong Chinese BMDR0.04177,59522_15_N_114_10_E
3,325A*02:06Hong Kong Chinese cord blood registry0.03883,89222_15_N_114_10_E
3,326A*02:06India Andhra Pradesh Golla0.028011117_5_N_78_5_E
3,327A*02:06India Delhi pop 214.40.07709028_36_N_77_13_E
3,328A*02:06India New Delhi0.03007128_37_N_77_13_E
3,329A*02:06India North pop 20.02907225_0_N_74_0_E
3,330A*02:06India Tamil Nadu0.01562,49211_32_N_78_52_E
3,331A*02:06Indonesia Java Western6.82367_30_S_111_15_E
3,332A*02:06Iran Baloch0.011010029_29_N_60_52_E
3,333A*02:06Ireland Northern0.00.00001,00054_40_N_6_45_W
3,334A*02:06Israel Arab pop 20.000312,30132_8_N_34_52_E
3,335A*02:06Israel Argentina Jews0.00094,30732_8_N_34_52_E
3,336A*02:06Israel Ashkenazi and Non Ashkenazi Jews0.004014631_8_N_35_2_E
3,337A*02:06Israel Ashkenazi Jews pop 30.00144,62532_8_N_34_52_E
3,338A*02:06Israel Ethiopia Jews0.00035,92832_8_N_34_52_E
3,339A*02:06Israel Georgia Jews0.00024,47132_10_N_34_53_E
3,340A*02:06Israel Kavkazi Jews0.00052,84032_10_N_34_52_E
3,341A*02:06Israel Morocco Jews0.000036,71832_10_N_34_52_E
3,342A*02:06Israel Poland Jews0.001913,87132_10_N_34_52_E
3,343A*02:06Israel Tunisia Jews0.00029,07032_10_N_34_52_E
3,344A*02:06Israel USA Jews0.00126,05832_10_N_34_52_E
3,345A*02:06Israel USSR Jews0.001445,68132_9_N_34_50_E
3,346A*02:06Israel YemenJews0.000115,54232_9_N_34_50_E
3,347A*02:06Italy Bergamo0.00.000010145_42_N_9_40_E
3,348A*02:06Italy North pop 30.00.00009743_0_N_12_0_E
3,349A*02:06Italy pop 50.003097545_28_N_9_11_E
3,350A*02:06Japan Central0.077037135_41_N_139_46_E
3,351A*02:06Japan Hokkaido Ainu0.20005043_0_N_142_0_E
3,352A*02:06Japan Okinawa Ryukyuan0.183014326_4_N_127_8_E
3,353A*02:06Japan pop 160.090818,60435_41_N_139_46_E
3,354A*02:06Japan pop 30.08701,01835_41_N_139_46_E
3,355A*02:06Japan pop 50.084011735_41_N_139_46_E
3,356A*02:06Kenya Luo0.00002650_0_S_34_6_E
3,357A*02:06Kenya Nandi0.00002400_0_S_35_0_E
3,358A*02:06Kosovo1.60.008112442_34_N_21_0_E
3,359A*02:06Malaysia Champa6.90.0340292_30_N_112_30_E
3,360A*02:06Malaysia Mandailing3.70.0190272_30_N_112_30_E
3,361A*02:06Malaysia Pahang Semai2.60.0130384_11_N_102_3_E
3,362A*02:06Malaysia Patani4.00.0200252_30_N_112_30_E
3,363A*02:06Malaysia Peninsular Chinese8.30.04121943_9_N_101_57_E
3,364A*02:06Malaysia Peninsular Indian4.10.02032713_9_N_101_57_E
3,365A*02:06Malaysia Peninsular Malay3.50.01749513_9_N_101_57_E
3,366A*02:06Malaysia Perak Grik Jehai0.0200255_25_N_101_8_E
3,367A*02:06Mali Bandiagara0.000013814_4_N_3_6_W
3,368A*02:06Mexico Chiapas Lacandon Mayans0.139921816_54_N_92_5_W
3,369A*02:06Mexico Chichen Itza Maya (prehispanic)0.06384720_40_N_88_34_W
3,370A*02:06Mexico Chihuahua Tarahumara0.12504427_30_N_107_45_W
3,371A*02:06Mexico Mestizo12.20.06104119_24_N_99_9_W
3,372A*02:06Mexico Mexico City Mestizo pop 20.096223419_26_N_99_8_W
3,373A*02:06Mexico Mexico City Mestizo population0.059414319_25_N_99_7_W
3,374A*02:06Mexico Mixtec0.16509723_57_N_103_29_W
3,375A*02:06Mexico Oaxaca Jamiltepec Mixtec0.16709616_25_N_97_58_W
3,376A*02:06Mexico Oaxaca Mixe0.34905517_5_N_96_45_W
3,377A*02:06Mexico Oaxaca Mixtec0.216010317_5_N_96_45_W
3,378A*02:06Mexico Oaxaca Zapotec0.26109017_5_N_96_45_W
3,379A*02:06Mexico Tixcacaltuyub Maya0.02246720_29_N_88_54_W
3,380A*02:06Mongolia Buryat0.043014147_6_N_118_6_E
3,381A*02:06Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
3,382A*02:06Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
3,383A*02:06Netherlands Leiden0.00301,30552_9_N_4_31_E
3,384A*02:06New Caledonia0.00006521_0_S_165_0_E
3,385A*02:06New Zealand Maori with Admixed History41.00.224010542_0_S_174_0_E
3,386A*02:06New Zealand Maori with Full Ancestry52.20.29404642_0_S_174_0_E
3,387A*02:06New Zealand Polynesians with Admixed History22.20.11102742_0_S_174_0_E
3,388A*02:06New Zealand Polynesians with Full Ancestry19.00.09502142_0_S_174_0_E
3,389A*02:06Nicaragua Managua7.50.037433912_7_N_86_10_W
3,390A*02:06Oman0.00.000011822_0_N_56_0_E
3,391A*02:06Pakistan Baloch0.01606630_0_N_67_0_E
3,392A*02:06Pakistan Brahui0.023010430_0_N_67_0_E
3,393A*02:06Pakistan Burusho0.06009236_0_N_73_0_E
3,394A*02:06Pakistan Kalash0.21606932_0_N_70_0_E
3,395A*02:06Pakistan Karachi Parsi0.01109124_49_N_66_59_E
3,396A*02:06Pakistan Mixed Pathan0.031010032_0_N_70_0_E
3,397A*02:06Pakistan Mixed Sindhi0.032010124_0_N_68_0_E
3,398A*02:06Panama0.01474628_59_N_79_37_W
3,399A*02:06Papua New Guinea East New Britain Rabaul0.0000604_12_S_152_11_E
3,400A*02:06Papua New Guinea Eastern Highlands Goroka Asaro0.0260576_5_S_145_23_E
3,401A*02:06Papua New Guinea Karimui Plateau Pawaia0.0000807_14_S_145_20_E
3,402A*02:06Papua New Guinea Madang0.0000655_13_S_145_48_E
3,403A*02:06Papua New Guinea Wanigela Keapara0.02106610_5_S_147_50_E
3,404A*02:06Papua New Guinea West Schrader Ranges Haruai0.0000555_5_S_144_10_E
3,405A*02:06Papua New Guinea Wosera Abelam0.00001313_48_S_143_2_E
3,406A*02:06Philippines Ivatan8.00.04005020_22_N_121_56_E
3,407A*02:06Poland DKMS0.002220,65352_8_N_19_23_E
3,408A*02:06Portugal Azores Terceira Island0.90.004413038_43_N_27_13_W
3,409A*02:06Romania0.90.004034846_0_N_25_0_E
3,410A*02:06Russia Bering Island Aleuts0.014410455_0_N_166_15_E
3,411A*02:06Russia Karelia0.00511,07563_9_N_32_59_E
3,412A*02:06Russia Tuva pop 20.069016951_30_N_95_5_E
3,413A*02:06Scotland Orkney0.00.00009958_59_N_3_11_W
3,414A*02:06Senegal Niokholo Mandenka0.005016512_35_N_12_9_W
3,415A*02:06Singapore Chinese7.40.04001491_24_N_103_45_E
3,416A*02:06Singapore Chinese Han0.0520941_17_N_103_51_E
3,417A*02:06Singapore Javaneses0.0200511_24_N_103_45_E
3,418A*02:06Singapore Riau Malay0.02001321_24_N_103_45_E
3,419A*02:06Singapore SGVP Chinese CHS0.0220961_21_N_103_50_E
3,420A*02:06Singapore SGVP Malay MAS0.0120891_21_N_103_50_E
3,421A*02:06Singapore SGVP. Indian INS0.0060861_21_N_103_50_E
3,422A*02:06Singapore Thai0.02001001_24_N_103_45_E
3,423A*02:06South Africa Natal Zulu0.00.000010029_0_S_31_0_E
3,424A*02:06South Africa Worcester1.00.006015933_39_S_19_27_E
3,425A*02:06South Korea pop 100.08664,12837_33_N_126_58_E
3,426A*02:06South Korea pop 30.071048537_33_N_126_59_E
3,427A*02:06Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.20.00084,33541_22_N_2_11_E
3,428A*02:06Sri Lanka Colombo4.10.02107146_56_N_79_50_E
3,429A*02:06Sri Lanka Colombo Sinhalese0.02401016_56_N_79_50_E
3,430A*02:06Sweden Northern Sami0.014015467_0_N_18_30_E
3,431A*02:06Sweden Southern Sami0.012013060_52_N_14_44_E
3,432A*02:06Taiwan Ami3.10.01509823_0_N_121_0_E
3,433A*02:06Taiwan Atayal17.00.094010624_0_N_121_0_E
3,434A*02:06Taiwan Bunun13.90.074010123_46_N_121_0_E
3,435A*02:06Taiwan Hakka5.50.02705524_0_N_121_0_E
3,436A*02:06Taiwan Han Chinese0.027050423_46_N_121_0_E
3,437A*02:06Taiwan Minnan pop 15.90.029010224_0_N_121_0_E
3,438A*02:06Taiwan Paiwan5.90.02905123_0_N_121_0_E
3,439A*02:06Taiwan Pazeh7.30.03605525_0_N_121_30_E
3,440A*02:06Taiwan pop 20.026036423_46_N_121_0_E
3,441A*02:06Taiwan pop 30.024021223_46_N_121_0_E
3,442A*02:06Taiwan Puyuma24.00.12005023_0_N_121_0_E
3,443A*02:06Taiwan Rukai6.00.03005023_0_N_121_0_E
3,444A*02:06Taiwan Saisiat3.90.02005124_0_N_121_0_E
3,445A*02:06Taiwan Siraya3.90.02005124_0_N_121_0_E
3,446A*02:06Taiwan Taroko10.90.05505524_0_N_121_0_E
3,447A*02:06Taiwan Thao6.70.03303024_0_N_121_0_E
3,448A*02:06Taiwan Tzu Chi Morrow Donor Registry0.032246,68225_2_N_121_38_E
3,449A*02:06Taiwan Tzu Chi Morrow Donor Registry Aborigine0.055823325_2_N_121_38_E
3,450A*02:06Taiwan Tzu Chi Cord Blood Bank0.031071023_46_N_121_0_E
3,451A*02:06Thailand0.025014216_7_N_102_0_E
3,452A*02:06Tunisia0.00.000010035_0_N_9_0_E
3,453A*02:06Turkey pop 50.000014240_0_N_28_0_E
3,454A*02:06Uganda Kampala0.00301610_3_N_32_6_E
3,455A*02:06United Arab Emirates Abu Dhabi0.00965224_28_N_54_22_E
3,456A*02:06USA African American0.000025230_0_N_95_0_W
3,457A*02:06USA African American Bethesda0.00.000018738_0_N_78_0_W
3,458A*02:06USA African American pop 40.00022,41144_58_N_93_15_W
3,459A*02:06USA Alaska Yupik0.165025260_48_N_161_26_W
3,460A*02:06USA Arizona Gila River Amerindian0.069049233_4_N_111_44_W
3,461A*02:06USA Arizona Pima0.076010033_0_N_113_0_W
3,462A*02:06USA Asian0.050035830_0_N_95_0_W
3,463A*02:06USA Asian pop 20.04831,77244_58_N_93_15_W
3,464A*02:06USA Caucasian0.761,65538_53_N_77_2_W
3,465A*02:06USA Caucasian Bethesda1.40.007030738_0_N_78_0_W
3,466A*02:06USA Caucasian pop 20.002026530_0_N_95_0_W
3,467A*02:06USA Caucasian pop 40.00371,07038_53_N_77_2_W
3,468A*02:06USA Eastern European0.004055838_53_N_77_2_W
3,469A*02:06USA Hawaii Okinawa0.143010621_0_N_157_0_W
3,470A*02:06USA Hispanic0.032023430_0_N_95_0_W
3,471A*02:06USA Hispanic pop 20.03921,99944_58_N_93_15_W
3,472A*02:06USA New Mexico Canoncito Navajo0.04904234_9_N_107_3_W
3,473A*02:06USA NMDP African0.000328,55738_45_N_76_6_W
3,474A*02:06USA NMDP African American pop 20.0007416,58138_45_N_76_6_W
3,475A*02:06USA NMDP Alaska Native or Aleut0.10301,37638_45_N_76_6_W
3,476A*02:06USA NMDP American Indian South or Central America0.02005,92638_45_N_76_6_W
3,477A*02:06USA NMDP Caribean Black0.000333,32838_45_N_76_6_W
3,478A*02:06USA NMDP Caribean Hispanic0.0024115,37438_45_N_76_6_W
3,479A*02:06USA NMDP Caribean Indian0.004014,33938_45_N_76_6_W
3,480A*02:06USA NMDP Chinese0.034999,67238_45_N_76_6_W
3,481A*02:06USA NMDP European Caucasian0.00181,242,89038_45_N_76_6_W
3,482A*02:06USA NMDP Filipino0.027850,61438_45_N_76_6_W
3,483A*02:06USA NMDP Hawaiian or other Pacific Islander0.084711,49938_45_N_76_6_W
3,484A*02:06USA NMDP Hispanic South or Central American0.0198146,71438_45_N_76_6_W
3,485A*02:06USA NMDP Japanese0.074824,58238_45_N_76_6_W
3,486A*02:06USA NMDP Korean0.074777,58438_45_N_76_6_W
3,487A*02:06USA NMDP Mexican or Chicano0.0504261,23538_45_N_76_6_W
3,488A*02:06USA NMDP Middle Eastern or North Coast of Africa0.002070,89038_45_N_76_6_W
3,489A*02:06USA NMDP North American Amerindian0.027535,79138_45_N_76_6_W
3,490A*02:06USA NMDP South Asian Indian0.0175185,39138_45_N_76_6_W
3,491A*02:06USA NMDP Southeast Asian0.018927,97838_45_N_76_6_W
3,492A*02:06USA NMDP Vietnamese0.040643,54038_45_N_76_6_W
3,493A*02:06USA North American Native0.072018730_0_N_95_0_W
3,494A*02:06USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
3,495A*02:06USA San Antonio Caucasian0.006022229_23_N_98_33_W
3,496A*02:06USA San Diego3.50.018049632_50_N_117_15_W
3,497A*02:06USA South Dakota Lakota Sioux0.105030244_30_N_100_0_W
3,498A*02:06USA South Texas Hispanic0.073019429_0_N_98_0_W
3,499A*02:06Vietnam Hanoi Kinh pop 20.047017021_2_N_105_51_E
3,500A*02:06Zambia Lusaka0.01204415_25_S_28_17_E
3,501A*02:06:01Brazil Rio de Janeiro Caucasian0.001952122_54_S_43_12_W
3,502A*02:06:01Brazil Rio de Janeiro Parda0.002917022_54_S_43_12_W
3,503A*02:06:01Canada Chipewyan NA-DHS_2 (G)16.00.10002559_36_N_107_20_W
3,504A*02:06:01Canada Cree NA-DHS_3 (G)27.80.16671850_20_N_102_30_W
3,505A*02:06:01Canada Ojibwa NA-DHS_4 (G)26.70.13331646_0_N_81_0_W
3,506A*02:06:01Chile Easter Island0.04802127_7_S_109_22_W
3,507A*02:06:01China Guizhou Province Bouyei0.031010926_50_N_106_50_E
3,508A*02:06:01China Guizhou Province Miao pop 20.00008526_50_N_106_50_E
3,509A*02:06:01China Guizhou Province Shui0.026015326_50_N_106_50_E
3,510A*02:06:01China Inner Mongolia Region0.025010236_0_N_102_0_E
3,511A*02:06:01China Jingpo Minority4.90.024010525_0_N_102_0_E
3,512A*02:06:01China Qinghai Province Hui0.050011036_0_N_102_0_E
3,513A*02:06:01China Tibet Region Tibetan0.101015829_39_N_91_7_E
3,514A*02:06:01China Yunnan Province Jinuo0.009010924_30_N_101_30_E
3,515A*02:06:01China Yunnan Province Lisu0.034011124_30_N_101_30_E
3,516A*02:06:01China Yunnan Province Wa0.000011924_30_N_101_30_E
3,517A*02:06:01China Zhejiang Han0.04331,73427_2_N_118_1_E
3,518A*02:06:01Colombia Zenu NA-DHS_18 (G)16.70.0833169_0_N_75_0_W
3,519A*02:06:01Costa Rica Amerindians (G)8.80.04401259_34_N_83_25_W
3,520A*02:06:01Costa Rica Cabecar NA-DHS_9 (G)21.10.10531910_0_N_84_0_W
3,521A*02:06:01Costa Rica Central Valley Mestizo (G)5.80.02902219_55_N_84_5_W
3,522A*02:06:01Costa Rica Guanacaste Mestizo (G)6.40.032011010_16_N_85_37_W
3,523A*02:06:01England Blood Donors of Mixed Ethnicity0.60.002951952_21_N_1_10_W
3,524A*02:06:01Hong Kong Chinese HKBMDR HLA 11 loci8.00.04065,26622_25_N_114_17_E
3,525A*02:06:01India Andhra Pradesh Telugu Speaking2.70.013418613_4_N_80_14_E
3,526A*02:06:01India Karnataka Kannada Speaking1.10.006017412_57_N_77_36_E
3,527A*02:06:01India Kerala Malayalam speaking1.40.008435613_1_N_80_15_E
3,528A*02:06:01Indonesia Java pop 20.0280366_8_S_106_10_E
3,529A*02:06:01Indonesia Sundanese and Javanese0.03502016_8_S_106_10_E
3,530A*02:06:01Mexico Mixe NA-DHS_6 (G)60.00.37502017_0_N_96_0_W
3,531A*02:06:01Mexico Mixtec NA-DHS_5 (G)70.00.47502017_0_N_97_0_W
3,532A*02:06:01Mexico Zapotec NA-DHS_7 (G)45.00.30002016_0_N_97_0_W
3,533A*02:06:01Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
3,534A*02:06:01Nicaragua Mestizo (G)7.80.039015512_40_N_85_13_W
3,535A*02:06:01Poland BMR0.30.001523,59552_0_N_19_22_E
3,536A*02:06:01Russia Belgorod region2.00.009815350_46_N_37_27_E
3,537A*02:06:01Russia Bashkortostan, Bashkirs7.50.037512054_0_N_55_0_E
3,538A*02:06:01Russia Bashkortostan, Tatars4.20.020819254_13_N_56_9_E
3,539A*02:06:01Russia Nizhny Novgorod, Russians0.40.00201,51056_19_N_43_59_E
3,540A*02:06:01Russia Tundra Nentsi NA-DHS_1 (G)25.00.15631666_0_N_76_0_E
3,541A*02:06:01Saudi Arabia pop 6 (G)0.002028,92723_52_N_45_4_E
3,542A*02:06:01South African Indian population6.00.03005029_22_S_24_31_E
3,543A*02:06:01USA Arizona Gila River Pima0.05743,00033_4_N_111_43_W
3,544A*02:06:01USA Italy Ancestry0.002027338_0_N_77_0_W
3,545A*02:06:01USA Mexican American Mestizo0.067055338_53_N_77_2_W
3,546A*02:06:01USA Spain Ancestry0.038027938_0_N_77_0_W
3,547A*02:06:01Vietnam Kinh6.00.029710114_5_N_108_27_E
3,548A*02:06:02China North Han0.000010539_54_N_116_24_E
3,549A*02:06:02Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
3,550A*02:06:03Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
3,551A*02:06:04Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
3,552A*02:06:05Brazil Rio de Janeiro Caucasian0.001052122_54_S_43_12_W
3,553A*02:06:05Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
3,554A*02:06:06Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
3,555A*02:06:07Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
3,556A*02:06:08Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
3,557A*02:06:09Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
3,558A*02:07Australia New South Wales Caucasian0.008013433_0_S_146_0_E
3,559A*02:07Australia Yuendumu Aborigine0.000019122_15_S_131_47_E
3,560A*02:07Bolivia/Peru Quechua NA-DHS_12 (G)4.80.02382114_0_S_74_0_W
3,561A*02:07Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
3,562A*02:07Bulgaria0.00005542_0_N_23_0_E
3,563A*02:07Burkina Faso Fulani0.01004912_50_N_1_50_W
3,564A*02:07Burkina Faso Rimaibe0.00004712_50_N_1_50_W
3,565A*02:07China Beijing0.06706739_58_N_116_24_E
3,566A*02:07China Beijing Shijiazhuang Tianjian Han0.077061839_54_N_116_24_E
3,567A*02:07China Guangxi Region Maonan0.134010823_48_N_108_59_E
3,568A*02:07China Guangzhou0.093010223_6_N_113_15_E
3,569A*02:07China Guizhou Province Bouyei0.227010926_50_N_106_50_E
3,570A*02:07China Guizhou Province Miao pop 20.16508526_50_N_106_50_E
3,571A*02:07China Guizhou Province Shui0.175015326_50_N_106_50_E
3,572A*02:07China Han HIV negative0.03107236_34_N_103_49_E
3,573A*02:07China Henan HIV negative0.03101634_0_N_113_40_E
3,574A*02:07China Hubei Han25.60.12813,73230_45_N_114_15_E
3,575A*02:07China Inner Mongolia Region0.025010236_0_N_102_0_E
3,576A*02:07China Jiangsu Han0.06703,23832_54_N_119_48_E
3,577A*02:07China Jiangsu Province Han0.061033432_54_N_119_48_E
3,578A*02:07China Jingpo Minority3.90.019010525_0_N_102_0_E
3,579A*02:07China Marrow Donor Registry0.124060039_54_N_116_23_E
3,580A*02:07China North Han0.043010539_54_N_116_24_E
3,581A*02:07China Qinghai Province Hui0.036011036_0_N_102_0_E
3,582A*02:07China Shanxi HIV negative0.06802236_5_N_111_50_E
3,583A*02:07China Sichuan HIV negative0.08803430_50_N_102_49_E
3,584A*02:07China South Han0.094028423_1_N_113_3_E
3,585A*02:07China Southwest Dai0.185012422_0_N_100_48_E
3,586A*02:07China Tibet Region Tibetan0.016015829_39_N_91_7_E
3,587A*02:07China Uyghur HIV negative0.02601936_34_N_103_49_E
3,588A*02:07China Yunnan Bulang0.004011621_57_N_100_27_E
3,589A*02:07China Yunnan Hani0.107015021_59_N_100_49_E
3,590A*02:07China Yunnan Province Han0.183010124_2_N_105_3_E
3,591A*02:07China Yunnan Province Jinuo0.188010924_30_N_101_30_E
3,592A*02:07China Yunnan Province Lisu0.022011124_30_N_101_30_E
3,593A*02:07China Yunnan Province Nu0.082010724_30_N_101_30_E
3,594A*02:07China Yunnan Province Wa0.008011924_30_N_101_30_E
3,595A*02:07Colombia Bogotá Cord Blood0.10.00031,4634_39_N_73_52_W
3,596A*02:07Croatia0.000015045_0_N_15_0_E
3,597A*02:07Cuba Caucasian1.40.00707023_8_N_82_22_W
3,598A*02:07Cuba Mixed Race0.00.00004223_8_N_82_22_W
3,599A*02:07Czech Republic0.000010650_0_N_14_0_E
3,600A*02:07Czech Republic NMDR0.00045,09949_48_N_15_30_E
3,601A*02:07Germany DKMS - China minority0.08271,28248_31_N_9_3_E
3,602A*02:07Germany DKMS - France minority0.00041,40648_31_N_9_3_E
3,603A*02:07Germany DKMS - German donors0.00023,456,06648_31_N_9_3_E
3,604A*02:07Germany DKMS - Greece minority0.00161,89448_31_N_9_3_E
3,605A*02:07Germany DKMS - Romania minority0.00041,23448_31_N_9_3_E
3,606A*02:07Germany DKMS - Turkey minority0.00214,85648_31_N_9_3_E
3,607A*02:07Germany pop 60.00018,86251_6_N_10_23_E
3,608A*02:07Germany pop 80.000439,68948_24_N_9_58_E
3,609A*02:07Hong Kong Chinese24.00.131056922_16_N_114_9_E
3,610A*02:07Ireland Northern0.00.00001,00054_40_N_6_45_W
3,611A*02:07Israel Kavkazi Jews0.00022,84032_10_N_34_52_E
3,612A*02:07Israel USSR Jews0.000145,68132_9_N_34_50_E
3,613A*02:07Italy Bergamo0.00.000010145_42_N_9_40_E
3,614A*02:07Italy North pop 30.00.00009743_0_N_12_0_E
3,615A*02:07Italy pop 50.001097545_28_N_9_11_E
3,616A*02:07Japan Central0.022037135_41_N_139_46_E
3,617A*02:07Japan Hokkaido Ainu0.01005043_0_N_142_0_E
3,618A*02:07Japan Okinawa Ryukyuan0.007014326_4_N_127_8_E
3,619A*02:07Japan pop 160.034618,60435_41_N_139_46_E
3,620A*02:07Japan pop 30.03401,01835_41_N_139_46_E
3,621A*02:07Japan pop 50.040011735_41_N_139_46_E
3,622A*02:07Malaysia Champa10.30.0520292_30_N_112_30_E
3,623A*02:07Malaysia Jelebu Temuan0.0420252_56_N_102_5_E
3,624A*02:07Malaysia Kelantan17.90.0890282_30_N_112_30_E
3,625A*02:07Malaysia Peninsular Chinese6.20.03091943_9_N_101_57_E
3,626A*02:07Malaysia Peninsular Malay0.80.00429513_9_N_101_57_E
3,627A*02:07Malaysia Perak Grik Jehai0.0400255_25_N_101_8_E
3,628A*02:07Malaysia Sarawak Bau Bidayuh0.0200251_25_N_110_9_E
3,629A*02:07Mexico Mestizo0.00.00004119_24_N_99_9_W
3,630A*02:07Mongolia Buryat0.021014147_6_N_118_6_E
3,631A*02:07Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
3,632A*02:07Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
3,633A*02:07Netherlands Leiden0.00001,30552_9_N_4_31_E
3,634A*02:07Oman0.00.000011822_0_N_56_0_E
3,635A*02:07Pakistan Baloch0.00006630_0_N_67_0_E
3,636A*02:07Pakistan Brahui0.000010430_0_N_67_0_E
3,637A*02:07Pakistan Burusho0.00009236_0_N_73_0_E
3,638A*02:07Pakistan Kalash0.00006932_0_N_70_0_E
3,639A*02:07Pakistan Karachi Parsi0.00009124_49_N_66_59_E
3,640A*02:07Pakistan Mixed Pathan0.000010032_0_N_70_0_E
3,641A*02:07Pakistan Mixed Sindhi0.000010124_0_N_68_0_E
3,642A*02:07Philippines Ivatan0.00.00005020_22_N_121_56_E
3,643A*02:07Poland DKMS0.000420,65352_8_N_19_23_E
3,644A*02:07Romania0.00.000034846_0_N_25_0_E
3,645A*02:07Russia Karelia0.00051,07563_9_N_32_59_E
3,646A*02:07Russia Tuva pop 20.016016951_30_N_95_5_E
3,647A*02:07Scotland Orkney0.00.00009958_59_N_3_11_W
3,648A*02:07Singapore Chinese24.20.13101491_24_N_103_45_E
3,649A*02:07Singapore Chinese Han0.1160941_17_N_103_51_E
3,650A*02:07Singapore Javaneses0.0100511_24_N_103_45_E
3,651A*02:07Singapore Riau Malay0.02001321_24_N_103_45_E
3,652A*02:07Singapore SGVP Chinese CHS0.0650961_21_N_103_50_E
3,653A*02:07Singapore SGVP Malay MAS0.0120891_21_N_103_50_E
3,654A*02:07Singapore SGVP. Indian INS0.0000861_21_N_103_50_E
3,655A*02:07Singapore Thai0.12201001_24_N_103_45_E
3,656A*02:07South Africa Natal Zulu0.00.000010029_0_S_31_0_E
3,657A*02:07South Korea pop 100.03404,12837_33_N_126_58_E
3,658A*02:07South Korea pop 30.030048537_33_N_126_59_E
3,659A*02:07Taiwan Ami0.00.00009823_0_N_121_0_E
3,660A*02:07Taiwan Atayal0.90.005010624_0_N_121_0_E
3,661A*02:07Taiwan Bunun0.00.000010123_46_N_121_0_E
3,662A*02:07Taiwan Hakka16.40.08205524_0_N_121_0_E
3,663A*02:07Taiwan Han Chinese0.112050423_46_N_121_0_E
3,664A*02:07Taiwan Minnan pop 119.60.113010224_0_N_121_0_E
3,665A*02:07Taiwan Paiwan0.00.00005123_0_N_121_0_E
3,666A*02:07Taiwan Pazeh12.70.06405525_0_N_121_30_E
3,667A*02:07Taiwan pop 20.138036423_46_N_121_0_E
3,668A*02:07Taiwan pop 30.116021223_46_N_121_0_E
3,669A*02:07Taiwan Puyuma0.00.00005023_0_N_121_0_E
3,670A*02:07Taiwan Rukai0.00.00005023_0_N_121_0_E
3,671A*02:07Taiwan Saisiat0.00.00005124_0_N_121_0_E
3,672A*02:07Taiwan Siraya11.80.06905124_0_N_121_0_E
3,673A*02:07Taiwan Tao0.00.00005024_0_N_121_0_E
3,674A*02:07Taiwan Taroko0.00.00005524_0_N_121_0_E
3,675A*02:07Taiwan Thao3.30.01703024_0_N_121_0_E
3,676A*02:07Taiwan Tsou0.00.00005124_0_N_121_0_E
3,677A*02:07Taiwan Tzu Chi Morrow Donor Registry0.117446,68225_2_N_121_38_E
3,678A*02:07Taiwan Tzu Chi Morrow Donor Registry Aborigine0.034323325_2_N_121_38_E
3,679A*02:07Taiwan Tzu Chi Cord Blood Bank0.099071023_46_N_121_0_E
3,680A*02:07Thailand0.109014216_7_N_102_0_E
3,681A*02:07Thailand Northeast0.15706615_13_N_104_51_E
3,682A*02:07Thailand Northeast pop 20.144040016_27_N_103_10_E
3,683A*02:07Turkey pop 50.000014240_0_N_28_0_E
3,684A*02:07USA African American0.000025230_0_N_95_0_W
3,685A*02:07USA African American Bethesda0.00.000018738_0_N_78_0_W
3,686A*02:07USA African American pop 40.00002,41144_58_N_93_15_W
3,687A*02:07USA Alaska Yupik0.000025260_48_N_161_26_W
3,688A*02:07USA Asian0.066035830_0_N_95_0_W
3,689A*02:07USA Asian pop 20.04381,77244_58_N_93_15_W
3,690A*02:07USA Caucasian0.061,65538_53_N_77_2_W
3,691A*02:07USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
3,692A*02:07USA Caucasian pop 20.000026530_0_N_95_0_W
3,693A*02:07USA Hawaii Okinawa0.014010621_0_N_157_0_W
3,694A*02:07USA Hispanic0.000023430_0_N_95_0_W
3,695A*02:07USA Hispanic pop 20.00001,99944_58_N_93_15_W
3,696A*02:07USA NMDP African American pop 20.0000416,58138_45_N_76_6_W
3,697A*02:07USA NMDP Alaska Native or Aleut0.00101,37638_45_N_76_6_W
3,698A*02:07USA NMDP Caribean Black0.000133,32838_45_N_76_6_W
3,699A*02:07USA NMDP Caribean Hispanic0.0000115,37438_45_N_76_6_W
3,700A*02:07USA NMDP Chinese0.094899,67238_45_N_76_6_W
3,701A*02:07USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
3,702A*02:07USA NMDP Filipino0.017450,61438_45_N_76_6_W
3,703A*02:07USA NMDP Hawaiian or other Pacific Islander0.008311,49938_45_N_76_6_W
3,704A*02:07USA NMDP Hispanic South or Central American0.0001146,71438_45_N_76_6_W
3,705A*02:07USA NMDP Japanese0.020024,58238_45_N_76_6_W
3,706A*02:07USA NMDP Korean0.027977,58438_45_N_76_6_W
3,707A*02:07USA NMDP Mexican or Chicano0.0000261,23538_45_N_76_6_W
3,708A*02:07USA NMDP Middle Eastern or North Coast of Africa0.000170,89038_45_N_76_6_W
3,709A*02:07USA NMDP North American Amerindian0.000035,79138_45_N_76_6_W
3,710A*02:07USA NMDP South Asian Indian0.0006185,39138_45_N_76_6_W
3,711A*02:07USA NMDP Southeast Asian0.022027,97838_45_N_76_6_W
3,712A*02:07USA NMDP Vietnamese0.080043,54038_45_N_76_6_W
3,713A*02:07USA North American Native0.000018730_0_N_95_0_W
3,714A*02:07USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
3,715A*02:07USA San Antonio Caucasian0.000022229_23_N_98_33_W
3,716A*02:07USA San Diego2.90.015049632_50_N_117_15_W
3,717A*02:07USA South Texas Hispanic0.000019429_0_N_98_0_W
3,718A*02:07Vietnam Hanoi Kinh pop 20.085017021_2_N_105_51_E
3,719A*02:07:01Brazil Rio de Janeiro Caucasian0.001052122_54_S_43_12_W
3,720A*02:07:01China Zhejiang Han0.09751,73427_2_N_118_1_E
3,721A*02:07:01England Blood Donors of Mixed Ethnicity0.20.001051952_21_N_1_10_W
3,722A*02:07:01Hong Kong Chinese HKBMDR HLA 11 loci22.10.11895,26622_25_N_114_17_E
3,723A*02:07:01Poland BMR0.10.000523,59552_0_N_19_22_E
3,724A*02:07:01Russia Bashkortostan, Bashkirs0.80.004212054_0_N_55_0_E
3,725A*02:07:01Russia Bashkortostan, Tatars1.00.005219254_13_N_56_9_E
3,726A*02:07:01Russia Nizhny Novgorod, Russians0.50.00271,51056_19_N_43_59_E
3,727A*02:07:01Saudi Arabia pop 6 (G)0.000328,92723_52_N_45_4_E
3,728A*02:07:01Vietnam Kinh18.00.099010114_5_N_108_27_E
3,729A*02:08Armenia combined Regions0.010010040_11_N_44_31_E
3,730A*02:08Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
3,731A*02:08Bulgaria0.00005542_0_N_23_0_E
3,732A*02:08China Beijing Shijiazhuang Tianjian Han0.001061839_54_N_116_24_E
3,733A*02:08China North Han0.000010539_54_N_116_24_E
3,734A*02:08China Tibet Region Tibetan0.000015829_39_N_91_7_E
3,735A*02:08Croatia0.000015045_0_N_15_0_E
3,736A*02:08Cuba Caucasian0.00.00007023_8_N_82_22_W
3,737A*02:08Cuba Mixed Race0.00.00004223_8_N_82_22_W
3,738A*02:08Czech Republic0.000010650_0_N_14_0_E
3,739A*02:08Czech Republic NMDR0.00025,09949_48_N_15_30_E
3,740A*02:08Gaza2.40.01194231_22_N_34_18_E
3,741A*02:08Georgia Svaneti Region Svan0.01308042_54_N_43_0_E
3,742A*02:08Germany DKMS - France minority0.00041,40648_31_N_9_3_E
3,743A*02:08Germany DKMS - German donors0.00023,456,06648_31_N_9_3_E
3,744A*02:08Germany DKMS - Romania minority0.00041,23448_31_N_9_3_E
3,745A*02:08Germany DKMS - Turkey minority0.00114,85648_31_N_9_3_E
3,746A*02:08Germany DKMS - United Kingdom minority0.00051,04348_31_N_9_3_E
3,747A*02:08Germany pop 60.00028,86251_6_N_10_23_E
3,748A*02:08Germany pop 80.000439,68948_24_N_9_58_E
3,749A*02:08Hong Kong Chinese0.00.000056922_16_N_114_9_E
3,750A*02:08Ireland Northern0.00.00001,00054_40_N_6_45_W
3,751A*02:08Israel Arab pop 20.000712,30132_8_N_34_52_E
3,752A*02:08Israel Argentina Jews0.00004,30732_8_N_34_52_E
3,753A*02:08Israel Georgia Jews0.00014,47132_10_N_34_53_E
3,754A*02:08Israel Iraq Jews0.000113,27032_10_N_34_52_E
3,755A*02:08Israel USSR Jews0.000045,68132_9_N_34_50_E
3,756A*02:08Italy Bergamo0.00.000010145_42_N_9_40_E
3,757A*02:08Italy North pop 30.00.00009743_0_N_12_0_E
3,758A*02:08Madeira0.005018532_44_N_16_58_W
3,759A*02:08Mexico Mestizo0.00.00004119_24_N_99_9_W
3,760A*02:08Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
3,761A*02:08Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
3,762A*02:08Netherlands Leiden0.00001,30552_9_N_4_31_E
3,763A*02:08Oman0.90.004011822_0_N_56_0_E
3,764A*02:08Pakistan Baloch0.00006630_0_N_67_0_E
3,765A*02:08Pakistan Brahui0.000010430_0_N_67_0_E
3,766A*02:08Pakistan Burusho0.00009236_0_N_73_0_E
3,767A*02:08Pakistan Kalash0.00006932_0_N_70_0_E
3,768A*02:08Pakistan Karachi Parsi0.00009124_49_N_66_59_E
3,769A*02:08Pakistan Mixed Pathan0.000010032_0_N_70_0_E
3,770A*02:08Pakistan Mixed Sindhi0.013010124_0_N_68_0_E
3,771A*02:08Philippines Ivatan0.00.00005020_22_N_121_56_E
3,772A*02:08Poland BMR0.00.000123,59552_0_N_19_22_E
3,773A*02:08Poland DKMS0.000220,65352_8_N_19_23_E
3,774A*02:08Romania0.00.000034846_0_N_25_0_E
3,775A*02:08Russia Bashkortostan, Tatars0.50.002619254_13_N_56_9_E
3,776A*02:08Russia Nizhny Novgorod, Russians0.10.00031,51056_19_N_43_59_E
3,777A*02:08Saudi Arabia pop 6 (G)0.000428,92723_52_N_45_4_E
3,778A*02:08Scotland Orkney0.00.00009958_59_N_3_11_W
3,779A*02:08Singapore Chinese0.00.00001491_24_N_103_45_E
3,780A*02:08South Africa Natal Zulu0.00.000010029_0_S_31_0_E
3,781A*02:08South Korea pop 30.000048537_33_N_126_59_E
3,782A*02:08Taiwan Ami0.00.00009823_0_N_121_0_E
3,783A*02:08Taiwan Atayal0.00.000010624_0_N_121_0_E
3,784A*02:08Taiwan Bunun0.00.000010123_46_N_121_0_E
3,785A*02:08Taiwan Hakka0.00.00005524_0_N_121_0_E
3,786A*02:08Taiwan Minnan pop 10.00.000010224_0_N_121_0_E
3,787A*02:08Taiwan Paiwan0.00.00005123_0_N_121_0_E
3,788A*02:08Taiwan Pazeh0.00.00005525_0_N_121_30_E
3,789A*02:08Taiwan Puyuma0.00.00005023_0_N_121_0_E
3,790A*02:08Taiwan Rukai0.00.00005023_0_N_121_0_E
3,791A*02:08Taiwan Saisiat0.00.00005124_0_N_121_0_E
3,792A*02:08Taiwan Siraya0.00.00005124_0_N_121_0_E
3,793A*02:08Taiwan Tao0.00.00005024_0_N_121_0_E
3,794A*02:08Taiwan Taroko0.00.00005524_0_N_121_0_E
3,795A*02:08Taiwan Thao0.00.00003024_0_N_121_0_E
3,796A*02:08Taiwan Tsou0.00.00005124_0_N_121_0_E
3,797A*02:08Thailand Northeast pop 20.001040016_27_N_103_10_E
3,798A*02:08Turkey pop 50.000014240_0_N_28_0_E
3,799A*02:08USA African American Bethesda0.00.000018738_0_N_78_0_W
3,800A*02:08USA Alaska Yupik0.000025260_48_N_161_26_W
3,801A*02:08USA Caucasian0.061,65538_53_N_77_2_W
3,802A*02:08USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
3,803A*02:08USA NMDP African American pop 20.0000416,58138_45_N_76_6_W
3,804A*02:08USA NMDP Chinese0.000099,67238_45_N_76_6_W
3,805A*02:08USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
3,806A*02:08USA NMDP Hispanic South or Central American0.0000146,71438_45_N_76_6_W
3,807A*02:08USA NMDP Korean0.000077,58438_45_N_76_6_W
3,808A*02:08USA NMDP Middle Eastern or North Coast of Africa0.000170,89038_45_N_76_6_W
3,809A*02:08USA NMDP South Asian Indian0.0002185,39138_45_N_76_6_W
3,810A*02:08USA NMDP Southeast Asian0.000127,97838_45_N_76_6_W
3,811A*02:08USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
3,812A*02:08USA San Antonio Caucasian0.000022229_23_N_98_33_W
3,813A*02:08USA South Texas Hispanic0.000019429_0_N_98_0_W
3,814A*02:09Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
3,815A*02:09Bulgaria0.00005542_0_N_23_0_E
3,816A*02:09China Beijing Shijiazhuang Tianjian Han0.001061839_54_N_116_24_E
3,817A*02:09China Hubei Han0.10.00033,73230_45_N_114_15_E
3,818A*02:09China North Han0.000010539_54_N_116_24_E
3,819A*02:09China Zhejiang Han0.00031,73427_2_N_118_1_E
3,820A*02:09Croatia0.000015045_0_N_15_0_E
3,821A*02:09Cuba Caucasian0.00.00007023_8_N_82_22_W
3,822A*02:09Cuba Mixed Race0.00.00004223_8_N_82_22_W
3,823A*02:09Czech Republic0.000010650_0_N_14_0_E
3,824A*02:09Czech Republic NMDR0.00045,09949_48_N_15_30_E
3,825A*02:09Hong Kong Chinese0.00.000056922_16_N_114_9_E
3,826A*02:09India Andhra Pradesh Telugu Speaking1.10.005418613_4_N_80_14_E
3,827A*02:09India Karnataka Kannada Speaking0.60.003017412_57_N_77_36_E
3,828A*02:09India Kerala Malayalam speaking0.60.003035613_1_N_80_15_E
3,829A*02:09India North pop 20.01007225_0_N_74_0_E
3,830A*02:09Iran Baloch0.011010029_29_N_60_52_E
3,831A*02:09Ireland Northern0.00.00001,00054_40_N_6_45_W
3,832A*02:09Italy Bergamo0.00.000010145_42_N_9_40_E
3,833A*02:09Italy North pop 30.00.00009743_0_N_12_0_E
3,834A*02:09Italy pop 50.001097545_28_N_9_11_E
3,835A*02:09Mexico Mestizo0.00.00004119_24_N_99_9_W
3,836A*02:09Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
3,837A*02:09Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
3,838A*02:09Netherlands Leiden0.00001,30552_9_N_4_31_E
3,839A*02:09Oman0.00.000011822_0_N_56_0_E
3,840A*02:09Pakistan Baloch0.00006630_0_N_67_0_E
3,841A*02:09Pakistan Brahui0.000010430_0_N_67_0_E
3,842A*02:09Pakistan Burusho0.00009236_0_N_73_0_E
3,843A*02:09Pakistan Kalash0.02506932_0_N_70_0_E
3,844A*02:09Pakistan Karachi Parsi0.00009124_49_N_66_59_E
3,845A*02:09Pakistan Mixed Pathan0.000010032_0_N_70_0_E
3,846A*02:09Pakistan Mixed Sindhi0.000010124_0_N_68_0_E
3,847A*02:09Poland BMR0.10.000623,59552_0_N_19_22_E
3,848A*02:09Romania0.00.000034846_0_N_25_0_E
3,849A*02:09Russia Nizhny Novgorod, Russians0.10.00071,51056_19_N_43_59_E
3,850A*02:09Scotland Orkney0.00.00009958_59_N_3_11_W
3,851A*02:09Singapore Chinese0.00.00001491_24_N_103_45_E
3,852A*02:09South Africa Natal Zulu0.00.000010029_0_S_31_0_E
3,853A*02:09South Korea pop 30.000048537_33_N_126_59_E
3,854A*02:09Turkey pop 50.000014240_0_N_28_0_E
3,855A*02:09USA African American Bethesda0.00.000018738_0_N_78_0_W
3,856A*02:09USA Alaska Yupik0.000025260_48_N_161_26_W
3,857A*02:09USA Caucasian0.061,65538_53_N_77_2_W
3,858A*02:09USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
3,859A*02:09USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
3,860A*02:09USA San Antonio Caucasian0.000022229_23_N_98_33_W
3,861A*02:09USA South Texas Hispanic0.000019429_0_N_98_0_W
3,862A*02:09:01Hong Kong Chinese HKBMDR HLA 11 loci0.10.00035,26622_25_N_114_17_E
3,863A*02:10Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
3,864A*02:10Bulgaria0.00005542_0_N_23_0_E
3,865A*02:10China Beijing0.00006739_58_N_116_24_E
3,866A*02:10China Beijing Shijiazhuang Tianjian Han0.003061839_54_N_116_24_E
3,867A*02:10China Canton Han0.002026423_6_N_113_15_E
3,868A*02:10China Guangzhou0.005010223_6_N_113_15_E
3,869A*02:10China Hubei Han0.30.00153,73230_45_N_114_15_E
3,870A*02:10China Inner Mongolia Region0.000010236_0_N_102_0_E
3,871A*02:10China Jiangsu Han0.00403,23832_54_N_119_48_E
3,872A*02:10China North Han0.000010539_54_N_116_24_E
3,873A*02:10China Qinghai Province Hui0.014011036_0_N_102_0_E
3,874A*02:10China Shanxi HIV negative0.02302236_5_N_111_50_E
3,875A*02:10China South Han0.002028423_1_N_113_3_E
3,876A*02:10China Tibet Region Tibetan0.000015829_39_N_91_7_E
3,877A*02:10China Zhejiang Han0.00261,73427_2_N_118_1_E
3,878A*02:10Croatia0.000015045_0_N_15_0_E
3,879A*02:10Cuba Caucasian0.00.00007023_8_N_82_22_W
3,880A*02:10Cuba Mixed Race0.00.00004223_8_N_82_22_W
3,881A*02:10Czech Republic0.000010650_0_N_14_0_E
3,882A*02:10Germany DKMS - China minority0.00391,28248_31_N_9_3_E
3,883A*02:10Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
3,884A*02:10Hong Kong Chinese0.00.000056922_16_N_114_9_E
3,885A*02:10Hong Kong Chinese BMDR0.00037,59522_15_N_114_10_E
3,886A*02:10Hong Kong Chinese cord blood registry0.00033,89222_15_N_114_10_E
3,887A*02:10Hong Kong Chinese HKBMDR HLA 11 loci0.20.00085,26622_25_N_114_17_E
3,888A*02:10Ireland Northern0.00.00001,00054_40_N_6_45_W
3,889A*02:10Israel Libya Jews0.00003,73932_10_N_34_52_E
3,890A*02:10Israel Morocco Jews0.000036,71832_10_N_34_52_E
3,891A*02:10Italy Bergamo0.00.000010145_42_N_9_40_E
3,892A*02:10Italy North pop 30.00.00009743_0_N_12_0_E
3,893A*02:10Japan Central0.007037135_41_N_139_46_E
3,894A*02:10Japan pop 160.003918,60435_41_N_139_46_E
3,895A*02:10Japan pop 30.00401,01835_41_N_139_46_E
3,896A*02:10Malaysia Peninsular Malay0.20.00119513_9_N_101_57_E
3,897A*02:10Mexico Mestizo0.00.00004119_24_N_99_9_W
3,898A*02:10Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
3,899A*02:10Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
3,900A*02:10Netherlands Leiden0.00001,30552_9_N_4_31_E
3,901A*02:10Oman0.00.000011822_0_N_56_0_E
3,902A*02:10Pakistan Baloch0.00006630_0_N_67_0_E
3,903A*02:10Pakistan Brahui0.000010430_0_N_67_0_E
3,904A*02:10Pakistan Burusho0.00009236_0_N_73_0_E
3,905A*02:10Pakistan Kalash0.00006932_0_N_70_0_E
3,906A*02:10Pakistan Karachi Parsi0.00009124_49_N_66_59_E
3,907A*02:10Pakistan Mixed Pathan0.000010032_0_N_70_0_E
3,908A*02:10Pakistan Mixed Sindhi0.000010124_0_N_68_0_E
3,909A*02:10Philippines Ivatan0.00.00005020_22_N_121_56_E
3,910A*02:10Romania0.00.000034846_0_N_25_0_E
3,911A*02:10Russia Tuva pop 20.003016951_30_N_95_5_E
3,912A*02:10Scotland Orkney0.00.00009958_59_N_3_11_W
3,913A*02:10Singapore Chinese0.70.00301491_24_N_103_45_E
3,914A*02:10South Africa Natal Tamil0.02005130_0_S_31_0_E
3,915A*02:10South Africa Natal Zulu0.00.000010029_0_S_31_0_E
3,916A*02:10South Korea pop 100.00304,12837_33_N_126_58_E
3,917A*02:10South Korea pop 30.006048537_33_N_126_59_E
3,918A*02:10Taiwan Ami0.00.00009823_0_N_121_0_E
3,919A*02:10Taiwan Atayal0.00.000010624_0_N_121_0_E
3,920A*02:10Taiwan Bunun0.00.000010123_46_N_121_0_E
3,921A*02:10Taiwan Hakka0.00.00005524_0_N_121_0_E
3,922A*02:10Taiwan Minnan pop 10.00.000010224_0_N_121_0_E
3,923A*02:10Taiwan Paiwan0.00.00005123_0_N_121_0_E
3,924A*02:10Taiwan Pazeh0.00.00005525_0_N_121_30_E
3,925A*02:10Taiwan Puyuma0.00.00005023_0_N_121_0_E
3,926A*02:10Taiwan Rukai0.00.00005023_0_N_121_0_E
3,927A*02:10Taiwan Saisiat0.00.00005124_0_N_121_0_E
3,928A*02:10Taiwan Siraya0.00.00005124_0_N_121_0_E
3,929A*02:10Taiwan Tao0.00.00005024_0_N_121_0_E
3,930A*02:10Taiwan Taroko0.00.00005524_0_N_121_0_E
3,931A*02:10Taiwan Thao0.00.00003024_0_N_121_0_E
3,932A*02:10Taiwan Tsou0.00.00005124_0_N_121_0_E
3,933A*02:10Taiwan Tzu Chi Morrow Donor Registry0.000846,68225_2_N_121_38_E
3,934A*02:10Taiwan Tzu Chi Morrow Donor Registry Aborigine0.000023325_2_N_121_38_E
3,935A*02:10Turkey pop 50.000014240_0_N_28_0_E
3,936A*02:10USA African American Bethesda0.00.000018738_0_N_78_0_W
3,937A*02:10USA African American pop 40.00002,41144_58_N_93_15_W
3,938A*02:10USA Alaska Yupik0.000025260_48_N_161_26_W
3,939A*02:10USA Arizona Pima0.006010033_0_N_113_0_W
3,940A*02:10USA Asian pop 20.00091,77244_58_N_93_15_W
3,941A*02:10USA Caucasian0.061,65538_53_N_77_2_W
3,942A*02:10USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
3,943A*02:10USA Hawaii Okinawa0.005010621_0_N_157_0_W
3,944A*02:10USA Hispanic pop 20.00001,99944_58_N_93_15_W
3,945A*02:10USA NMDP Chinese0.001199,67238_45_N_76_6_W
3,946A*02:10USA NMDP Filipino0.000250,61438_45_N_76_6_W
3,947A*02:10USA NMDP Hawaiian or other Pacific Islander0.000211,49938_45_N_76_6_W
3,948A*02:10USA NMDP Korean0.002577,58438_45_N_76_6_W
3,949A*02:10USA NMDP South Asian Indian0.0000185,39138_45_N_76_6_W
3,950A*02:10USA NMDP Southeast Asian0.000127,97838_45_N_76_6_W
3,951A*02:10USA NMDP Vietnamese0.000143,54038_45_N_76_6_W
3,952A*02:10USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
3,953A*02:10USA San Antonio Caucasian0.000022229_23_N_98_33_W
3,954A*02:10USA South Texas Hispanic0.000019429_0_N_98_0_W
3,955A*02:11Bolivia/Peru Quechua NA-DHS_12 (G)4.80.02382114_0_S_74_0_W
3,956A*02:11Brazil Puyanawa0.70.003015010_52_S_53_5_W
3,957A*02:11Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
3,958A*02:11Brazil Mixed0.015010823_10_S_47_48_W
3,959A*02:11Brazil Vale do Ribeira Quilombos0.00.000014424_36_S_48_15_W
3,960A*02:11Bulgaria0.00905542_0_N_23_0_E
3,961A*02:11Bulgaria Romani0.08301342_44_N_23_20_E
3,962A*02:11Burkina Faso Fulani0.00004912_50_N_1_50_W
3,963A*02:11Burkina Faso Mossi0.00005312_50_N_1_50_W
3,964A*02:11Burkina Faso Rimaibe0.00004712_50_N_1_50_W
3,965A*02:11Cameroon Yaounde0.0060923_52_N_11_31_E
3,966A*02:11Chile Santiago Mixed2.07033_26_S_70_39_W
3,967A*02:11China Beijing Shijiazhuang Tianjian Han0.002061839_54_N_116_24_E
3,968A*02:11China Inner Mongolia Region0.000010236_0_N_102_0_E
3,969A*02:11China North Han0.005010539_54_N_116_24_E
3,970A*02:11China Qinghai Province Hui0.000011036_0_N_102_0_E
3,971A*02:11China Tibet Region Tibetan0.003015829_39_N_91_7_E
3,972A*02:11Colombia Bogotá Cord Blood1.00.00511,4634_39_N_73_52_W
3,973A*02:11Colombia Embera NA-DHS_19 (G)7.10.0357147_0_N_76_0_W
3,974A*02:11Colombia Inga NA-DHS_11 (G)40.00.2333161_0_N_77_0_W
3,975A*02:11Colombia Waunana NA-DHS_20 (G)50.00.2750205_0_N_77_0_W
3,976A*02:11Colombia/Brazil Ticuna Arara NA-DHS_21 (G)6.70.0333174_0_S_70_0_W
3,977A*02:11Colombia/Brazil Ticuna Tarapaca NA-DHS_22 (G)21.10.1053194_0_S_70_0_W
3,978A*02:11Croatia0.000015045_0_N_15_0_E
3,979A*02:11Croatia pop 40.00014,00045_48_N_15_57_E
3,980A*02:11Cuba Caucasian1.40.00707023_8_N_82_22_W
3,981A*02:11Cuba Mixed Race0.00.00004223_8_N_82_22_W
3,982A*02:11Czech Republic0.000010650_0_N_14_0_E
3,983A*02:11Czech Republic NMDR0.00035,09949_48_N_15_30_E
3,984A*02:11Ecuador Amerindians0.0238630_13_S_78_30_W
3,985A*02:11Ecuador Cayapa0.04801831_3_N_79_12_W
3,986A*02:11Gaza2.40.01194231_22_N_34_18_E
3,987A*02:11Germany DKMS - Bosnia and Herzegovina minority0.00101,02848_31_N_9_3_E
3,988A*02:11Germany DKMS - China minority0.00081,28248_31_N_9_3_E
3,989A*02:11Germany DKMS - Croatia minority0.00022,05748_31_N_9_3_E
3,990A*02:11Germany DKMS - German donors0.00013,456,06648_31_N_9_3_E
3,991A*02:11Germany DKMS - Greece minority0.00421,89448_31_N_9_3_E
3,992A*02:11Germany DKMS - Italy minority0.00041,15948_31_N_9_3_E
3,993A*02:11Germany DKMS - Portugal minority0.00041,17648_31_N_9_3_E
3,994A*02:11Germany DKMS - Romania minority0.00161,23448_31_N_9_3_E
3,995A*02:11Germany DKMS - Spain minority0.00091,10748_31_N_9_3_E
3,996A*02:11Germany DKMS - Turkey minority0.00284,85648_31_N_9_3_E
3,997A*02:11Germany DKMS - United Kingdom minority0.00051,04348_31_N_9_3_E
3,998A*02:11Germany pop 80.000339,68948_24_N_9_58_E
3,999A*02:11Greece pop 60.002124237_58_N_23_43_E
4,000A*02:11Hong Kong Chinese0.00.000056922_16_N_114_9_E
4,001A*02:11Hong Kong Chinese BMDR0.00037,59522_15_N_114_10_E
4,002A*02:11Hong Kong Chinese cord blood registry0.00043,89222_15_N_114_10_E
4,003A*02:11India Andhra Pradesh Golla0.097011117_5_N_78_5_E
4,004A*02:11India Delhi pop 23.30.01709028_36_N_77_13_E
4,005A*02:11India Khandesh Region Pawra0.16005020_54_N_74_46_E
4,006A*02:11India Mumbai Maratha0.08609118_58_N_72_49_E
4,007A*02:11India New Delhi0.06807128_37_N_77_13_E
4,008A*02:11India North pop 20.06707225_0_N_74_0_E
4,009A*02:11India Tamil Nadu0.07802,49211_32_N_78_52_E
4,010A*02:11India West Bhil0.04005020_54_N_74_46_E
4,011A*02:11India West Coast Parsi0.00005018_0_N_74_0_E
4,012A*02:11Indonesia Java pop 20.0140366_8_S_106_10_E
4,013A*02:11Indonesia Sundanese and Javanese0.00002016_8_S_106_10_E
4,014A*02:11Iran Baloch0.011010029_29_N_60_52_E
4,015A*02:11Ireland Northern0.00.00001,00054_40_N_6_45_W
4,016A*02:11Israel Arab Druze0.005010131_8_N_35_2_E
4,017A*02:11Israel Arab pop 20.000812,30132_8_N_34_52_E
4,018A*02:11Israel Argentina Jews0.00054,30732_8_N_34_52_E
4,019A*02:11Israel Ashkenazi and Non Ashkenazi Jews0.004014631_8_N_35_2_E
4,020A*02:11Israel Druze0.00065,91432_41_N_35_17_E
4,021A*02:11Israel Iran Jews0.00098,15332_8_N_34_52_E
4,022A*02:11Israel Iraq Jews0.000013,27032_10_N_34_52_E
4,023A*02:11Israel Kavkazi Jews0.00022,84032_10_N_34_52_E
4,024A*02:11Israel USA Jews0.00016,05832_10_N_34_52_E
4,025A*02:11Israel USSR Jews0.000145,68132_9_N_34_50_E
4,026A*02:11Israel YemenJews0.000115,54232_9_N_34_50_E
4,027A*02:11Italy Bergamo0.00.000010145_42_N_9_40_E
4,028A*02:11Italy North pop 30.00.00009743_0_N_12_0_E
4,029A*02:11Kenya Luo0.00002650_0_S_34_6_E
4,030A*02:11Kenya Nandi0.00002400_0_S_35_0_E
4,031A*02:11Malaysia Peninsular Indian17.70.08862713_9_N_101_57_E
4,032A*02:11Malaysia Peninsular Malay1.60.00799513_9_N_101_57_E
4,033A*02:11Mali Bandiagara0.000013814_4_N_3_6_W
4,034A*02:11Mexico Mestizo0.00.00004119_24_N_99_9_W
4,035A*02:11Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
4,036A*02:11Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
4,037A*02:11Netherlands Leiden0.00001,30552_9_N_4_31_E
4,038A*02:11Oman0.00.000011822_0_N_56_0_E
4,039A*02:11Pakistan Baloch0.01606630_0_N_67_0_E
4,040A*02:11Pakistan Brahui0.023010430_0_N_67_0_E
4,041A*02:11Pakistan Burusho0.01109236_0_N_73_0_E
4,042A*02:11Pakistan Kalash0.00006932_0_N_70_0_E
4,043A*02:11Pakistan Karachi Parsi0.00009124_49_N_66_59_E
4,044A*02:11Pakistan Mixed Pathan0.020010032_0_N_70_0_E
4,045A*02:11Pakistan Mixed Sindhi0.025010124_0_N_68_0_E
4,046A*02:11Panama0.00914628_59_N_79_37_W
4,047A*02:11Paraguay/Argentina Ache NA-DHS_24 (G)46.20.26921324_0_S_56_0_W
4,048A*02:11Paraguay/Argentina Guarani NA-DHS_23 (G)20.00.10001023_0_S_56_0_W
4,049A*02:11Philippines Ivatan0.00.00005020_22_N_121_56_E
4,050A*02:11Poland DKMS0.000020,65352_8_N_19_23_E
4,051A*02:11Romania0.00.000034846_0_N_25_0_E
4,052A*02:11Russia Karelia0.00051,07563_9_N_32_59_E
4,053A*02:11Russia Tuva pop 20.005016951_30_N_95_5_E
4,054A*02:11Scotland Orkney0.00.00009958_59_N_3_11_W
4,055A*02:11Singapore Chinese0.00.00001491_24_N_103_45_E
4,056A*02:11Singapore Javaneses0.0200511_24_N_103_45_E
4,057A*02:11Singapore Riau Malay0.01201321_24_N_103_45_E
4,058A*02:11Singapore SGVP Chinese CHS0.0000961_21_N_103_50_E
4,059A*02:11Singapore SGVP Malay MAS0.0000891_21_N_103_50_E
4,060A*02:11Singapore SGVP. Indian INS0.0250861_21_N_103_50_E
4,061A*02:11Singapore Thai0.00501001_24_N_103_45_E
4,062A*02:11South Africa Natal Tamil0.13005130_0_S_31_0_E
4,063A*02:11South Africa Natal Zulu0.00.000010029_0_S_31_0_E
4,064A*02:11South Africa Worcester1.00.006015933_39_S_19_27_E
4,065A*02:11South Korea pop 30.000048537_33_N_126_59_E
4,066A*02:11Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.10.00064,33541_22_N_2_11_E
4,067A*02:11Sri Lanka Colombo12.90.06607146_56_N_79_50_E
4,068A*02:11Sri Lanka Colombo Sinhalese0.07401016_56_N_79_50_E
4,069A*02:11Taiwan Ami0.00.00009823_0_N_121_0_E
4,070A*02:11Taiwan Atayal0.00.000010624_0_N_121_0_E
4,071A*02:11Taiwan Bunun0.00.000010123_46_N_121_0_E
4,072A*02:11Taiwan Hakka0.00.00005524_0_N_121_0_E
4,073A*02:11Taiwan Minnan pop 10.00.000010224_0_N_121_0_E
4,074A*02:11Taiwan Paiwan0.00.00005123_0_N_121_0_E
4,075A*02:11Taiwan Pazeh0.00.00005525_0_N_121_30_E
4,076A*02:11Taiwan Puyuma0.00.00005023_0_N_121_0_E
4,077A*02:11Taiwan Rukai0.00.00005023_0_N_121_0_E
4,078A*02:11Taiwan Saisiat0.00.00005124_0_N_121_0_E
4,079A*02:11Taiwan Siraya0.00.00005124_0_N_121_0_E
4,080A*02:11Taiwan Tao0.00.00005024_0_N_121_0_E
4,081A*02:11Taiwan Taroko0.00.00005524_0_N_121_0_E
4,082A*02:11Taiwan Thao0.00.00003024_0_N_121_0_E
4,083A*02:11Taiwan Tsou0.00.00005124_0_N_121_0_E
4,084A*02:11Thailand0.004014216_7_N_102_0_E
4,085A*02:11Turkey pop 50.003014240_0_N_28_0_E
4,086A*02:11Uganda Kampala0.00001610_3_N_32_6_E
4,087A*02:11USA African American0.000025230_0_N_95_0_W
4,088A*02:11USA African American Bethesda0.00.000018738_0_N_78_0_W
4,089A*02:11USA African American pop 30.001056438_53_N_77_2_W
4,090A*02:11USA African American pop 40.00022,41144_58_N_93_15_W
4,091A*02:11USA Alaska Yupik0.000025260_48_N_161_26_W
4,092A*02:11USA Asian0.000035830_0_N_95_0_W
4,093A*02:11USA Asian pop 20.01161,77244_58_N_93_15_W
4,094A*02:11USA Caucasian0.061,65538_53_N_77_2_W
4,095A*02:11USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
4,096A*02:11USA Caucasian pop 20.000026530_0_N_95_0_W
4,097A*02:11USA Hispanic0.004023430_0_N_95_0_W
4,098A*02:11USA Hispanic pop 20.00331,99944_58_N_93_15_W
4,099A*02:11USA NMDP African0.000128,55738_45_N_76_6_W
4,100A*02:11USA NMDP African American pop 20.0002416,58138_45_N_76_6_W
4,101A*02:11USA NMDP American Indian South or Central America0.00305,92638_45_N_76_6_W
4,102A*02:11USA NMDP Caribean Black0.001933,32838_45_N_76_6_W
4,103A*02:11USA NMDP Caribean Hispanic0.0059115,37438_45_N_76_6_W
4,104A*02:11USA NMDP Caribean Indian0.011014,33938_45_N_76_6_W
4,105A*02:11USA NMDP Chinese0.000299,67238_45_N_76_6_W
4,106A*02:11USA NMDP European Caucasian0.00011,242,89038_45_N_76_6_W
4,107A*02:11USA NMDP Filipino0.000850,61438_45_N_76_6_W
4,108A*02:11USA NMDP Hawaiian or other Pacific Islander0.003011,49938_45_N_76_6_W
4,109A*02:11USA NMDP Hispanic South or Central American0.0081146,71438_45_N_76_6_W
4,110A*02:11USA NMDP Korean0.000277,58438_45_N_76_6_W
4,111A*02:11USA NMDP Mexican or Chicano0.0007261,23538_45_N_76_6_W
4,112A*02:11USA NMDP Middle Eastern or North Coast of Africa0.001270,89038_45_N_76_6_W
4,113A*02:11USA NMDP North American Amerindian0.000335,79138_45_N_76_6_W
4,114A*02:11USA NMDP South Asian Indian0.0500185,39138_45_N_76_6_W
4,115A*02:11USA NMDP Southeast Asian0.033627,97838_45_N_76_6_W
4,116A*02:11USA NMDP Vietnamese0.001143,54038_45_N_76_6_W
4,117A*02:11USA North American Native0.000018730_0_N_95_0_W
4,118A*02:11USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
4,119A*02:11USA San Antonio Caucasian0.000022229_23_N_98_33_W
4,120A*02:11USA San Diego0.30.002049632_50_N_117_15_W
4,121A*02:11USA South Texas Hispanic0.000019429_0_N_98_0_W
4,122A*02:11USA Spain Ancestry0.007027938_0_N_77_0_W
4,123A*02:11Zambia Lusaka0.00004415_25_S_28_17_E
4,124A*02:11:01Brazil Barra Mansa Rio State Caucasian0.003740522_32_S_44_10_W
4,125A*02:11:01Brazil Rio de Janeiro Caucasian0.002952122_54_S_43_12_W
4,126A*02:11:01Brazil Rio de Janeiro Parda0.005917022_54_S_43_12_W
4,127A*02:11:01Costa Rica Amerindians (G)0.80.00401259_34_N_83_25_W
4,128A*02:11:01Costa Rica Central Valley Mestizo (G)0.40.00202219_55_N_84_5_W
4,129A*02:11:01Costa Rica Guanacaste Mestizo (G)2.80.014011010_16_N_85_37_W
4,130A*02:11:01England Blood Donors of Mixed Ethnicity0.80.003951952_21_N_1_10_W
4,131A*02:11:01Hong Kong Chinese HKBMDR HLA 11 loci0.10.00045,26622_25_N_114_17_E
4,132A*02:11:01India Andhra Pradesh Telugu Speaking19.90.104818613_4_N_80_14_E
4,133A*02:11:01India Karnataka Kannada Speaking16.10.080017412_57_N_77_36_E
4,134A*02:11:01India Kerala Malayalam speaking9.80.052035613_1_N_80_15_E
4,135A*02:11:01Poland BMR0.00.000023,59552_0_N_19_22_E
4,136A*02:11:01Russia Bashkortostan, Bashkirs0.80.004212054_0_N_55_0_E
4,137A*02:11:01Russia Bashkortostan, Tatars0.50.002619254_13_N_56_9_E
4,138A*02:11:01Saudi Arabia pop 6 (G)0.003728,92723_52_N_45_4_E
4,139A*02:11:01South African Indian population8.00.04005029_22_S_24_31_E
4,140A*02:11:01South African Mixed ancestry4.00.02005029_22_S_24_31_E
4,141A*02:12Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
4,142A*02:12Bulgaria0.00005542_0_N_23_0_E
4,143A*02:12Burkina Faso Fulani0.00004912_50_N_1_50_W
4,144A*02:12Burkina Faso Mossi0.00005312_50_N_1_50_W
4,145A*02:12Burkina Faso Rimaibe0.00004712_50_N_1_50_W
4,146A*02:12China Beijing Shijiazhuang Tianjian Han0.003061839_54_N_116_24_E
4,147A*02:12China Guangdong Province Meizhou Han0.005010024_27_N_116_7_E
4,148A*02:12China Inner Mongolia Region0.005010236_0_N_102_0_E
4,149A*02:12China North Han0.000010539_54_N_116_24_E
4,150A*02:12China Qinghai Province Hui0.000011036_0_N_102_0_E
4,151A*02:12China Tibet Region Tibetan0.000015829_39_N_91_7_E
4,152A*02:12Croatia0.000015045_0_N_15_0_E
4,153A*02:12Croatia pop 40.00014,00045_48_N_15_57_E
4,154A*02:12Cuba Caucasian0.00.00007023_8_N_82_22_W
4,155A*02:12Cuba Mixed Race0.00.00004223_8_N_82_22_W
4,156A*02:12Czech Republic0.000010650_0_N_14_0_E
4,157A*02:12Ecuador Cayapa0.60001831_3_N_79_12_W
4,158A*02:12Germany DKMS - China minority0.00081,28248_31_N_9_3_E
4,159A*02:12Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
4,160A*02:12Germany DKMS - Turkey minority0.00034,85648_31_N_9_3_E
4,161A*02:12Hong Kong Chinese0.00.000056922_16_N_114_9_E
4,162A*02:12Iran Baloch0.006010029_29_N_60_52_E
4,163A*02:12Ireland Northern0.00.00001,00054_40_N_6_45_W
4,164A*02:12Israel USSR Jews0.000145,68132_9_N_34_50_E
4,165A*02:12Italy Bergamo0.00.000010145_42_N_9_40_E
4,166A*02:12Italy North pop 30.00.00009743_0_N_12_0_E
4,167A*02:12Mexico Mestizo0.00.00004119_24_N_99_9_W
4,168A*02:12Mongolia Buryat0.004014147_6_N_118_6_E
4,169A*02:12Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
4,170A*02:12Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
4,171A*02:12Netherlands Leiden0.00001,30552_9_N_4_31_E
4,172A*02:12New Zealand Maori with Admixed History2.90.014010542_0_S_174_0_E
4,173A*02:12New Zealand Maori with Full Ancestry2.20.01104642_0_S_174_0_E
4,174A*02:12Oman0.00.000011822_0_N_56_0_E
4,175A*02:12Pakistan Baloch0.00006630_0_N_67_0_E
4,176A*02:12Pakistan Brahui0.000010430_0_N_67_0_E
4,177A*02:12Pakistan Burusho0.00009236_0_N_73_0_E
4,178A*02:12Pakistan Kalash0.00006932_0_N_70_0_E
4,179A*02:12Pakistan Karachi Parsi0.00009124_49_N_66_59_E
4,180A*02:12Pakistan Mixed Pathan0.000010032_0_N_70_0_E
4,181A*02:12Pakistan Mixed Sindhi0.000010124_0_N_68_0_E
4,182A*02:12Panama0.00234628_59_N_79_37_W
4,183A*02:12Paraguay/Argentina Guarani NA-DHS_23 (G)10.00.05001023_0_S_56_0_W
4,184A*02:12Philippines Ivatan0.00.00005020_22_N_121_56_E
4,185A*02:12Poland BMR0.00.000023,59552_0_N_19_22_E
4,186A*02:12Poland DKMS0.000120,65352_8_N_19_23_E
4,187A*02:12Romania0.00.000034846_0_N_25_0_E
4,188A*02:12Singapore Chinese0.00.00001491_24_N_103_45_E
4,189A*02:12South Africa Natal Zulu0.00.000010029_0_S_31_0_E
4,190A*02:12South Korea pop 30.000048537_33_N_126_59_E
4,191A*02:12Sudan Central Shaigiya Mixed2.73618_0_N_33_0_E
4,192A*02:12Sudan East Rashaida3.72714_0_N_35_0_E
4,193A*02:12Taiwan Ami0.00.00009823_0_N_121_0_E
4,194A*02:12Taiwan Atayal0.00.000010624_0_N_121_0_E
4,195A*02:12Taiwan Bunun0.00.000010123_46_N_121_0_E
4,196A*02:12Taiwan Hakka0.00.00005524_0_N_121_0_E
4,197A*02:12Taiwan Minnan pop 10.00.000010224_0_N_121_0_E
4,198A*02:12Taiwan Paiwan0.00.00005123_0_N_121_0_E
4,199A*02:12Taiwan Pazeh0.00.00005525_0_N_121_30_E
4,200A*02:12Taiwan Puyuma0.00.00005023_0_N_121_0_E
4,201A*02:12Taiwan Rukai0.00.00005023_0_N_121_0_E
4,202A*02:12Taiwan Saisiat0.00.00005124_0_N_121_0_E
4,203A*02:12Taiwan Siraya0.00.00005124_0_N_121_0_E
4,204A*02:12Taiwan Tao0.00.00005024_0_N_121_0_E
4,205A*02:12Taiwan Taroko0.00.00005524_0_N_121_0_E
4,206A*02:12Taiwan Thao0.00.00003024_0_N_121_0_E
4,207A*02:12Taiwan Tsou0.00.00005124_0_N_121_0_E
4,208A*02:12Turkey pop 50.000014240_0_N_28_0_E
4,209A*02:12USA African American0.000025230_0_N_95_0_W
4,210A*02:12USA African American Bethesda0.00.000018738_0_N_78_0_W
4,211A*02:12USA African American pop 40.00002,41144_58_N_93_15_W
4,212A*02:12USA Alaska Yupik0.000025260_48_N_161_26_W
4,213A*02:12USA Asian0.001035830_0_N_95_0_W
4,214A*02:12USA Asian pop 20.00001,77244_58_N_93_15_W
4,215A*02:12USA Caucasian0.061,65538_53_N_77_2_W
4,216A*02:12USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
4,217A*02:12USA Caucasian pop 20.000026530_0_N_95_0_W
4,218A*02:12USA Hispanic0.004023430_0_N_95_0_W
4,219A*02:12USA Hispanic pop 20.00031,99944_58_N_93_15_W
4,220A*02:12USA NMDP Caribean Hispanic0.0000115,37438_45_N_76_6_W
4,221A*02:12USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
4,222A*02:12USA NMDP Hawaiian or other Pacific Islander0.000211,49938_45_N_76_6_W
4,223A*02:12USA NMDP Hispanic South or Central American0.0000146,71438_45_N_76_6_W
4,224A*02:12USA NMDP Mexican or Chicano0.0000261,23538_45_N_76_6_W
4,225A*02:12USA NMDP Middle Eastern or North Coast of Africa0.000070,89038_45_N_76_6_W
4,226A*02:12USA NMDP South Asian Indian0.0000185,39138_45_N_76_6_W
4,227A*02:12USA North American Native0.000018730_0_N_95_0_W
4,228A*02:12USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
4,229A*02:12USA San Antonio Caucasian0.000022229_23_N_98_33_W
4,230A*02:12USA South Texas Hispanic0.000019429_0_N_98_0_W
4,231A*02:12Venezuela Sierra de Perija Yucpa0.0120739_0_N_72_0_W
4,232A*02:13Bolivia/Peru Quechua NA-DHS_12 (G)4.80.02382114_0_S_74_0_W
4,233A*02:13Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
4,234A*02:13Bulgaria0.00005542_0_N_23_0_E
4,235A*02:13Burkina Faso Fulani0.00004912_50_N_1_50_W
4,236A*02:13Burkina Faso Mossi0.00005312_50_N_1_50_W
4,237A*02:13Burkina Faso Rimaibe0.00004712_50_N_1_50_W
4,238A*02:13China Guangdong Province Meizhou Han0.005010024_27_N_116_7_E
4,239A*02:13China North Han0.000010539_54_N_116_24_E
4,240A*02:13China Tibet Region Tibetan0.000015829_39_N_91_7_E
4,241A*02:13Colombia Bogotá Cord Blood4.00.01981,4634_39_N_73_52_W
4,242A*02:13Colombia Embera NA-DHS_19 (G)21.40.1071147_0_N_76_0_W
4,243A*02:13Colombia Inga NA-DHS_11 (G)26.70.1333161_0_N_77_0_W
4,244A*02:13Colombia Waunana NA-DHS_20 (G)10.00.0500205_0_N_77_0_W
4,245A*02:13Colombia Wayuu NA-DHS_15 (G)6.70.03331511_0_N_73_0_W
4,246A*02:13Colombia/Brazil Ticuna Arara NA-DHS_21 (G)13.30.0667174_0_S_70_0_W
4,247A*02:13Croatia0.000015045_0_N_15_0_E
4,248A*02:13Cuba Caucasian0.00.00007023_8_N_82_22_W
4,249A*02:13Cuba Mixed Race0.00.00004223_8_N_82_22_W
4,250A*02:13Czech Republic0.000010650_0_N_14_0_E
4,251A*02:13Ecuador Amerindians0.0079630_13_S_78_30_W
4,252A*02:13Ecuador Cayapa0.02401831_3_N_79_12_W
4,253A*02:13England Blood Donors of Mixed Ethnicity0.20.001051952_21_N_1_10_W
4,254A*02:13Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
4,255A*02:13Germany pop 80.000039,68948_24_N_9_58_E
4,256A*02:13Hong Kong Chinese0.00.000056922_16_N_114_9_E
4,257A*02:13Hong Kong Chinese cord blood registry0.00013,89222_15_N_114_10_E
4,258A*02:13Ireland Northern0.00.00001,00054_40_N_6_45_W
4,259A*02:13Israel Ashkenazi and Non Ashkenazi Jews0.004014631_8_N_35_2_E
4,260A*02:13Italy Bergamo0.00.000010145_42_N_9_40_E
4,261A*02:13Italy North pop 30.00.00009743_0_N_12_0_E
4,262A*02:13Japan pop 160.000118,60435_41_N_139_46_E
4,263A*02:13Mexico Mestizo0.00.00004119_24_N_99_9_W
4,264A*02:13Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
4,265A*02:13Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
4,266A*02:13Netherlands Leiden0.00001,30552_9_N_4_31_E
4,267A*02:13Oman0.00.000011822_0_N_56_0_E
4,268A*02:13Pakistan Baloch0.00006630_0_N_67_0_E
4,269A*02:13Pakistan Brahui0.000010430_0_N_67_0_E
4,270A*02:13Pakistan Burusho0.00009236_0_N_73_0_E
4,271A*02:13Pakistan Kalash0.00006932_0_N_70_0_E
4,272A*02:13Pakistan Karachi Parsi0.00009124_49_N_66_59_E
4,273A*02:13Pakistan Mixed Pathan0.000010032_0_N_70_0_E
4,274A*02:13Pakistan Mixed Sindhi0.000010124_0_N_68_0_E
4,275A*02:13Panama0.00344628_59_N_79_37_W
4,276A*02:13Philippines Ivatan0.00.00005020_22_N_121_56_E
4,277A*02:13Romania0.00.000034846_0_N_25_0_E
4,278A*02:13Singapore Chinese0.00.00001491_24_N_103_45_E
4,279A*02:13South Africa Natal Zulu0.00.000010029_0_S_31_0_E
4,280A*02:13South Korea pop 30.000048537_33_N_126_59_E
4,281A*02:13Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.10.00024,33541_22_N_2_11_E
4,282A*02:13Taiwan Ami0.00.00009823_0_N_121_0_E
4,283A*02:13Taiwan Atayal0.00.000010624_0_N_121_0_E
4,284A*02:13Taiwan Bunun0.00.000010123_46_N_121_0_E
4,285A*02:13Taiwan Hakka0.00.00005524_0_N_121_0_E
4,286A*02:13Taiwan Minnan pop 10.00.000010224_0_N_121_0_E
4,287A*02:13Taiwan Paiwan0.00.00005123_0_N_121_0_E
4,288A*02:13Taiwan Pazeh0.00.00005525_0_N_121_30_E
4,289A*02:13Taiwan Puyuma0.00.00005023_0_N_121_0_E
4,290A*02:13Taiwan Rukai0.00.00005023_0_N_121_0_E
4,291A*02:13Taiwan Saisiat0.00.00005124_0_N_121_0_E
4,292A*02:13Taiwan Siraya0.00.00005124_0_N_121_0_E
4,293A*02:13Taiwan Tao0.00.00005024_0_N_121_0_E
4,294A*02:13Taiwan Taroko0.00.00005524_0_N_121_0_E
4,295A*02:13Taiwan Thao0.00.00003024_0_N_121_0_E
4,296A*02:13Taiwan Tsou0.00.00005124_0_N_121_0_E
4,297A*02:13Turkey pop 50.000014240_0_N_28_0_E
4,298A*02:13USA African American0.000025230_0_N_95_0_W
4,299A*02:13USA African American Bethesda0.00.000018738_0_N_78_0_W
4,300A*02:13USA African American pop 40.00022,41144_58_N_93_15_W
4,301A*02:13USA Alaska Yupik0.000025260_48_N_161_26_W
4,302A*02:13USA Arizona Gila River Pima0.00053,00033_4_N_111_43_W
4,303A*02:13USA Asian0.000035830_0_N_95_0_W
4,304A*02:13USA Asian pop 20.00001,77244_58_N_93_15_W
4,305A*02:13USA Caucasian0.061,65538_53_N_77_2_W
4,306A*02:13USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
4,307A*02:13USA Caucasian pop 20.000026530_0_N_95_0_W
4,308A*02:13USA Hispanic0.002023430_0_N_95_0_W
4,309A*02:13USA Hispanic pop 20.00081,99944_58_N_93_15_W
4,310A*02:13USA NMDP African American pop 20.0000416,58138_45_N_76_6_W
4,311A*02:13USA NMDP Caribean Black0.000033,32838_45_N_76_6_W
4,312A*02:13USA NMDP Caribean Hispanic0.0001115,37438_45_N_76_6_W
4,313A*02:13USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
4,314A*02:13USA NMDP Hawaiian or other Pacific Islander0.000011,49938_45_N_76_6_W
4,315A*02:13USA NMDP Hispanic South or Central American0.0009146,71438_45_N_76_6_W
4,316A*02:13USA NMDP Mexican or Chicano0.0000261,23538_45_N_76_6_W
4,317A*02:13USA NMDP Middle Eastern or North Coast of Africa0.000070,89038_45_N_76_6_W
4,318A*02:13USA NMDP North American Amerindian0.000035,79138_45_N_76_6_W
4,319A*02:13USA North American Native0.000018730_0_N_95_0_W
4,320A*02:13USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
4,321A*02:13USA San Antonio Caucasian0.000022229_23_N_98_33_W
4,322A*02:13USA South Texas Hispanic0.000019429_0_N_98_0_W
4,323A*02:13USA Spain Ancestry0.002027938_0_N_77_0_W
4,324A*02:13Venezuela Sierra de Perija Yucpa0.0120739_0_N_72_0_W
4,325A*02:14Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
4,326A*02:14Bulgaria0.00005542_0_N_23_0_E
4,327A*02:14Cameroon Yaounde0.0060923_52_N_11_31_E
4,328A*02:14China North Han0.000010539_54_N_116_24_E
4,329A*02:14China Tibet Region Tibetan0.000015829_39_N_91_7_E
4,330A*02:14Colombia North Wiwa El Encanto0.00965210_10_N_73_53_W
4,331A*02:14Croatia0.000015045_0_N_15_0_E
4,332A*02:14Cuba Caucasian0.00.00007023_8_N_82_22_W
4,333A*02:14Cuba Mixed Race0.00.00004223_8_N_82_22_W
4,334A*02:14Czech Republic0.000010650_0_N_14_0_E
4,335A*02:14Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
4,336A*02:14Germany pop 80.000039,68948_24_N_9_58_E
4,337A*02:14Hong Kong Chinese0.00.000056922_16_N_114_9_E
4,338A*02:14Ireland Northern0.00.00001,00054_40_N_6_45_W
4,339A*02:14Israel Morocco Jews0.000036,71832_10_N_34_52_E
4,340A*02:14Italy Bergamo0.00.000010145_42_N_9_40_E
4,341A*02:14Italy North pop 30.00.00009743_0_N_12_0_E
4,342A*02:14Kenya0.00301441_28_S_36_8_E
4,343A*02:14Kenya Luo0.01502650_0_S_34_6_E
4,344A*02:14Kenya Nandi0.00802400_0_S_35_0_E
4,345A*02:14Kenya, Nyanza Province, Luo tribe2.00.01001000_5_S_34_46_E
4,346A*02:14Mali Bandiagara0.000013814_4_N_3_6_W
4,347A*02:14Mexico Mestizo0.00.00004119_24_N_99_9_W
4,348A*02:14Mongolia Buryat0.007014147_6_N_118_6_E
4,349A*02:14Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
4,350A*02:14Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
4,351A*02:14Netherlands Leiden0.00001,30552_9_N_4_31_E
4,352A*02:14Oman0.90.004011822_0_N_56_0_E
4,353A*02:14Pakistan Baloch0.00006630_0_N_67_0_E
4,354A*02:14Pakistan Brahui0.000010430_0_N_67_0_E
4,355A*02:14Pakistan Burusho0.00009236_0_N_73_0_E
4,356A*02:14Pakistan Kalash0.00006932_0_N_70_0_E
4,357A*02:14Pakistan Karachi Parsi0.00009124_49_N_66_59_E
4,358A*02:14Pakistan Mixed Pathan0.000010032_0_N_70_0_E
4,359A*02:14Pakistan Mixed Sindhi0.000010124_0_N_68_0_E
4,360A*02:14Philippines Ivatan0.00.00005020_22_N_121_56_E
4,361A*02:14Romania0.00.000034846_0_N_25_0_E
4,362A*02:14Saudi Arabia pop 6 (G)0.000528,92723_52_N_45_4_E
4,363A*02:14Scotland Orkney0.00.00009958_59_N_3_11_W
4,364A*02:14Singapore Chinese0.00.00001491_24_N_103_45_E
4,365A*02:14South Africa Caucasians0.000010230_0_S_25_0_E
4,366A*02:14South Africa Natal Zulu0.00.000010029_0_S_31_0_E
4,367A*02:14South African Black0.70.003514229_9_S_24_39_E
4,368A*02:14South Korea pop 30.000048537_33_N_126_59_E
4,369A*02:14Sudan Mixed0.50.00302005_0_N_35_0_E
4,370A*02:14Taiwan Ami0.00.00009823_0_N_121_0_E
4,371A*02:14Taiwan Atayal0.00.000010624_0_N_121_0_E
4,372A*02:14Taiwan Bunun0.00.000010123_46_N_121_0_E
4,373A*02:14Taiwan Hakka0.00.00005524_0_N_121_0_E
4,374A*02:14Taiwan Minnan pop 10.00.000010224_0_N_121_0_E
4,375A*02:14Taiwan Paiwan0.00.00005123_0_N_121_0_E
4,376A*02:14Taiwan Pazeh0.00.00005525_0_N_121_30_E
4,377A*02:14Taiwan Puyuma0.00.00005023_0_N_121_0_E
4,378A*02:14Taiwan Rukai0.00.00005023_0_N_121_0_E
4,379A*02:14Taiwan Saisiat0.00.00005124_0_N_121_0_E
4,380A*02:14Taiwan Siraya0.00.00005124_0_N_121_0_E
4,381A*02:14Taiwan Tao0.00.00005024_0_N_121_0_E
4,382A*02:14Taiwan Taroko0.00.00005524_0_N_121_0_E
4,383A*02:14Taiwan Thao0.00.00003024_0_N_121_0_E
4,384A*02:14Taiwan Tsou0.00.00005124_0_N_121_0_E
4,385A*02:14Tanzania Maasai1.20.00603363_11_S_37_4_E
4,386A*02:14Turkey pop 50.000014240_0_N_28_0_E
4,387A*02:14Uganda Kampala0.00601610_3_N_32_6_E
4,388A*02:14Uganda Kampala pop 20.02001750_20_N_32_30_E
4,389A*02:14USA African American Bethesda0.00.000018738_0_N_78_0_W
4,390A*02:14USA African American pop 40.00022,41144_58_N_93_15_W
4,391A*02:14USA Alaska Yupik0.000025260_48_N_161_26_W
4,392A*02:14USA Asian pop 20.00001,77244_58_N_93_15_W
4,393A*02:14USA Caucasian0.061,65538_53_N_77_2_W
4,394A*02:14USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
4,395A*02:14USA Hispanic pop 20.00001,99944_58_N_93_15_W
4,396A*02:14USA NMDP African0.000328,55738_45_N_76_6_W
4,397A*02:14USA NMDP African American pop 20.0001416,58138_45_N_76_6_W
4,398A*02:14USA NMDP Caribean Hispanic0.0000115,37438_45_N_76_6_W
4,399A*02:14USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
4,400A*02:14USA NMDP Hispanic South or Central American0.0000146,71438_45_N_76_6_W
4,401A*02:14USA NMDP Mexican or Chicano0.0000261,23538_45_N_76_6_W
4,402A*02:14USA NMDP Middle Eastern or North Coast of Africa0.000070,89038_45_N_76_6_W
4,403A*02:14USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
4,404A*02:14USA San Antonio Caucasian0.000022229_23_N_98_33_W
4,405A*02:14USA South Texas Hispanic0.000019429_0_N_98_0_W
4,406A*02:14Zambia Lusaka0.01204415_25_S_28_17_E
4,407A*02:15NBrazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
4,408A*02:15NBulgaria0.00005542_0_N_23_0_E
4,409A*02:15NChina Beijing Shijiazhuang Tianjian Han0.001061839_54_N_116_24_E
4,410A*02:15NChina North Han0.000010539_54_N_116_24_E
4,411A*02:15NCroatia0.000015045_0_N_15_0_E
4,412A*02:15NCuba Caucasian0.00.00007023_8_N_82_22_W
4,413A*02:15NCuba Mixed Race0.00.00004223_8_N_82_22_W
4,414A*02:15NCzech Republic0.000010650_0_N_14_0_E
4,415A*02:15NHong Kong Chinese0.00.000056922_16_N_114_9_E
4,416A*02:15NIreland Northern0.00.00001,00054_40_N_6_45_W
4,417A*02:15NItaly Bergamo0.00.000010145_42_N_9_40_E
4,418A*02:15NItaly North pop 30.00.00009743_0_N_12_0_E
4,419A*02:15NMexico Mestizo0.00.00004119_24_N_99_9_W
4,420A*02:15NMorocco Nador Metalsa pop 20.00007335_10_N_2_56_W
4,421A*02:15NMorocco Settat Chaouya0.00.00009833_0_N_7_36_W
4,422A*02:15NNetherlands Leiden0.00001,30552_9_N_4_31_E
4,423A*02:15NOman0.00.000011822_0_N_56_0_E
4,424A*02:15NPakistan Baloch0.00006630_0_N_67_0_E
4,425A*02:15NPakistan Brahui0.000010430_0_N_67_0_E
4,426A*02:15NPakistan Burusho0.00009236_0_N_73_0_E
4,427A*02:15NPakistan Kalash0.00006932_0_N_70_0_E
4,428A*02:15NPakistan Karachi Parsi0.00009124_49_N_66_59_E
4,429A*02:15NPakistan Mixed Pathan0.000010032_0_N_70_0_E
4,430A*02:15NPakistan Mixed Sindhi0.000010124_0_N_68_0_E
4,431A*02:15NRomania0.00.000034846_0_N_25_0_E
4,432A*02:15NScotland Orkney0.00.00009958_59_N_3_11_W
4,433A*02:15NSingapore Chinese0.00.00001491_24_N_103_45_E
4,434A*02:15NSouth Africa Natal Zulu0.00.000010029_0_S_31_0_E
4,435A*02:15NSouth Korea pop 30.000048537_33_N_126_59_E
4,436A*02:15NTurkey pop 50.000014240_0_N_28_0_E
4,437A*02:15NUSA African American Bethesda0.00.000018738_0_N_78_0_W
4,438A*02:15NUSA Alaska Yupik0.000025260_48_N_161_26_W
4,439A*02:15NUSA Caucasian0.061,65538_53_N_77_2_W
4,440A*02:15NUSA Caucasian Bethesda0.00.000030738_0_N_78_0_W
4,441A*02:15NUSA San Antonio Caucasian0.000022229_23_N_98_33_W
4,442A*02:15NUSA South Texas Hispanic0.000019429_0_N_98_0_W
4,443A*02:16Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
4,444A*02:16Bulgaria0.00005542_0_N_23_0_E
4,445A*02:16China North Han0.000010539_54_N_116_24_E
4,446A*02:16China Tibet Region Tibetan0.000015829_39_N_91_7_E
4,447A*02:16Croatia0.000015045_0_N_15_0_E
4,448A*02:16Cuba Caucasian0.00.00007023_8_N_82_22_W
4,449A*02:16Cuba Mixed Race0.00.00004223_8_N_82_22_W
4,450A*02:16Czech Republic0.000010650_0_N_14_0_E
4,451A*02:16Georgia Svaneti Region Svan0.00608042_54_N_43_0_E
4,452A*02:16Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
4,453A*02:16Hong Kong Chinese0.00.000056922_16_N_114_9_E
4,454A*02:16India Andhra Pradesh Golla0.006011117_5_N_78_5_E
4,455A*02:16India Karnataka Kannada Speaking1.10.006017412_57_N_77_36_E
4,456A*02:16India Kerala Malayalam speaking0.80.004235613_1_N_80_15_E
4,457A*02:16India Tamil Nadu0.00572,49211_32_N_78_52_E
4,458A*02:16Ireland Northern0.00.00001,00054_40_N_6_45_W
4,459A*02:16Israel Argentina Jews0.00084,30732_8_N_34_52_E
4,460A*02:16Israel Bukhara Jews0.00352,31732_8_N_34_52_E
4,461A*02:16Israel Druze0.00035,91432_41_N_35_17_E
4,462A*02:16Israel Ethiopia Jews0.00135,92832_8_N_34_52_E
4,463A*02:16Israel Georgia Jews0.01834,47132_10_N_34_53_E
4,464A*02:16Israel Iran Jews0.00018,15332_8_N_34_52_E
4,465A*02:16Israel Kavkazi Jews0.00182,84032_10_N_34_52_E
4,466A*02:16Israel Libya Jews0.00003,73932_10_N_34_52_E
4,467A*02:16Israel USA Jews0.00056,05832_10_N_34_52_E
4,468A*02:16Italy Bergamo0.00.000010145_42_N_9_40_E
4,469A*02:16Italy North pop 30.00.00009743_0_N_12_0_E
4,470A*02:16Malaysia Peninsular Indian0.70.00372713_9_N_101_57_E
4,471A*02:16Malaysia Peninsular Malay0.20.00119513_9_N_101_57_E
4,472A*02:16Mexico Mestizo0.00.00004119_24_N_99_9_W
4,473A*02:16Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
4,474A*02:16Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
4,475A*02:16Netherlands Leiden0.00001,30552_9_N_4_31_E
4,476A*02:16Oman0.00.000011822_0_N_56_0_E
4,477A*02:16Pakistan Baloch0.00006630_0_N_67_0_E
4,478A*02:16Pakistan Brahui0.000010430_0_N_67_0_E
4,479A*02:16Pakistan Burusho0.00009236_0_N_73_0_E
4,480A*02:16Pakistan Kalash0.00006932_0_N_70_0_E
4,481A*02:16Pakistan Karachi Parsi0.00009124_49_N_66_59_E
4,482A*02:16Pakistan Mixed Pathan0.000010032_0_N_70_0_E
4,483A*02:16Pakistan Mixed Sindhi0.000010124_0_N_68_0_E
4,484A*02:16Philippines Ivatan0.00.00005020_22_N_121_56_E
4,485A*02:16Romania0.00.000034846_0_N_25_0_E
4,486A*02:16Saudi Arabia pop 6 (G)0.000228,92723_52_N_45_4_E
4,487A*02:16Scotland Orkney0.00.00009958_59_N_3_11_W
4,488A*02:16Singapore Chinese0.00.00001491_24_N_103_45_E
4,489A*02:16South Africa Natal Zulu0.00.000010029_0_S_31_0_E
4,490A*02:16South Korea pop 30.000048537_33_N_126_59_E
4,491A*02:16Sri Lanka Colombo1.10.00607146_56_N_79_50_E
4,492A*02:16Sri Lanka Colombo Sinhalese0.00901016_56_N_79_50_E
4,493A*02:16Taiwan Ami0.00.00009823_0_N_121_0_E
4,494A*02:16Taiwan Atayal0.00.000010624_0_N_121_0_E
4,495A*02:16Taiwan Bunun0.00.000010123_46_N_121_0_E
4,496A*02:16Taiwan Hakka0.00.00005524_0_N_121_0_E
4,497A*02:16Taiwan Minnan pop 10.00.000010224_0_N_121_0_E
4,498A*02:16Taiwan Paiwan0.00.00005123_0_N_121_0_E
4,499A*02:16Taiwan Pazeh0.00.00005525_0_N_121_30_E
4,500A*02:16Taiwan Puyuma0.00.00005023_0_N_121_0_E
4,501A*02:16Taiwan Rukai0.00.00005023_0_N_121_0_E
4,502A*02:16Taiwan Saisiat0.00.00005124_0_N_121_0_E
4,503A*02:16Taiwan Siraya0.00.00005124_0_N_121_0_E
4,504A*02:16Taiwan Tao0.00.00005024_0_N_121_0_E
4,505A*02:16Taiwan Taroko0.00.00005524_0_N_121_0_E
4,506A*02:16Taiwan Thao0.00.00003024_0_N_121_0_E
4,507A*02:16Taiwan Tsou0.00.00005124_0_N_121_0_E
4,508A*02:16Turkey pop 50.000014240_0_N_28_0_E
4,509A*02:16USA African American Bethesda0.00.000018738_0_N_78_0_W
4,510A*02:16USA African American pop 40.00002,41144_58_N_93_15_W
4,511A*02:16USA Alaska Yupik0.000025260_48_N_161_26_W
4,512A*02:16USA Asian pop 20.00111,77244_58_N_93_15_W
4,513A*02:16USA Caucasian0.061,65538_53_N_77_2_W
4,514A*02:16USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
4,515A*02:16USA Hispanic pop 20.00001,99944_58_N_93_15_W
4,516A*02:16USA NMDP African American pop 20.0000416,58138_45_N_76_6_W
4,517A*02:16USA NMDP Filipino0.000250,61438_45_N_76_6_W
4,518A*02:16USA NMDP Hawaiian or other Pacific Islander0.000311,49938_45_N_76_6_W
4,519A*02:16USA NMDP Hispanic South or Central American0.0000146,71438_45_N_76_6_W
4,520A*02:16USA NMDP Korean0.000077,58438_45_N_76_6_W
4,521A*02:16USA NMDP Mexican or Chicano0.0000261,23538_45_N_76_6_W
4,522A*02:16USA NMDP South Asian Indian0.0030185,39138_45_N_76_6_W
4,523A*02:16USA NMDP Southeast Asian0.001827,97838_45_N_76_6_W
4,524A*02:16USA NMDP Vietnamese0.000143,54038_45_N_76_6_W
4,525A*02:16USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
4,526A*02:16USA San Antonio Caucasian0.000022229_23_N_98_33_W
4,527A*02:16USA South Texas Hispanic0.000019429_0_N_98_0_W
4,528A*02:17Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
4,529A*02:17Brazil Mixed0.005010823_10_S_47_48_W
4,530A*02:17Bulgaria0.00905542_0_N_23_0_E
4,531A*02:17Cape Verde Northwestern Islands0.00006216_0_N_24_0_W
4,532A*02:17Cape Verde Southeastern Islands0.00806216_0_N_24_0_W
4,533A*02:17China Beijing Shijiazhuang Tianjian Han0.001061839_54_N_116_24_E
4,534A*02:17China North Han0.000010539_54_N_116_24_E
4,535A*02:17China Tibet Region Tibetan0.000015829_39_N_91_7_E
4,536A*02:17Colombia Bogotá Cord Blood0.80.00411,4634_39_N_73_52_W
4,537A*02:17Croatia0.003015045_0_N_15_0_E
4,538A*02:17Cuba Caucasian1.40.00707023_8_N_82_22_W
4,539A*02:17Cuba Mixed Race0.00.00004223_8_N_82_22_W
4,540A*02:17Czech Republic0.000010650_0_N_14_0_E
4,541A*02:17Czech Republic NMDR0.00195,09949_48_N_15_30_E
4,542A*02:17Georgia Tibilisi0.005010941_41_N_44_57_E
4,543A*02:17Germany DKMS - Austria minority0.00121,69848_31_N_9_3_E
4,544A*02:17Germany DKMS - China minority0.00041,28248_31_N_9_3_E
4,545A*02:17Germany DKMS - Croatia minority0.00022,05748_31_N_9_3_E
4,546A*02:17Germany DKMS - France minority0.00041,40648_31_N_9_3_E
4,547A*02:17Germany DKMS - German donors0.00103,456,06648_31_N_9_3_E
4,548A*02:17Germany DKMS - Greece minority0.00421,89448_31_N_9_3_E
4,549A*02:17Germany DKMS - Italy minority0.00351,15948_31_N_9_3_E
4,550A*02:17Germany DKMS - Netherlands minority0.00071,37448_31_N_9_3_E
4,551A*02:17Germany DKMS - Romania minority0.00321,23448_31_N_9_3_E
4,552A*02:17Germany DKMS - Spain minority0.00091,10748_31_N_9_3_E
4,553A*02:17Germany DKMS - Turkey minority0.00564,85648_31_N_9_3_E
4,554A*02:17Germany pop 60.00108,86251_6_N_10_23_E
4,555A*02:17Germany pop 80.001339,68948_24_N_9_58_E
4,556A*02:17Guinea Bissau0.00006512_0_N_15_0_W
4,557A*02:17Hong Kong Chinese0.00.000056922_16_N_114_9_E
4,558A*02:17India Delhi pop 21.10.00509028_36_N_77_13_E
4,559A*02:17Ireland Northern0.10.00101,00054_40_N_6_45_W
4,560A*02:17Israel Arab pop 20.002812,30132_8_N_34_52_E
4,561A*02:17Israel Argentina Jews0.00074,30732_8_N_34_52_E
4,562A*02:17Israel Ashkenazi and Non Ashkenazi Jews0.009014631_8_N_35_2_E
4,563A*02:17Israel Ashkenazi Jews pop 30.02414,62532_8_N_34_52_E
4,564A*02:17Israel Bukhara Jews0.00622,31732_8_N_34_52_E
4,565A*02:17Israel Druze0.00045,91432_41_N_35_17_E
4,566A*02:17Israel Ethiopia Jews0.00245,92832_8_N_34_52_E
4,567A*02:17Israel Iran Jews0.05418,15332_8_N_34_52_E
4,568A*02:17Israel Iraq Jews0.071713,27032_10_N_34_52_E
4,569A*02:17Israel Kavkazi Jews0.00182,84032_10_N_34_52_E
4,570A*02:17Israel Libya Jews0.00643,73932_10_N_34_52_E
4,571A*02:17Israel Morocco Jews0.003836,71832_10_N_34_52_E
4,572A*02:17Israel Poland Jews0.002813,87132_10_N_34_52_E
4,573A*02:17Israel Tunisia Jews0.00579,07032_10_N_34_52_E
4,574A*02:17Israel USA Jews0.00056,05832_10_N_34_52_E
4,575A*02:17Israel USSR Jews0.002845,68132_9_N_34_50_E
4,576A*02:17Israel YemenJews0.058215,54232_9_N_34_50_E
4,577A*02:17Italy Bergamo1.00.006010145_42_N_9_40_E
4,578A*02:17Italy North pop 30.00.00009743_0_N_12_0_E
4,579A*02:17Italy pop 50.006097545_28_N_9_11_E
4,580A*02:17Kenya Luo0.00002650_0_S_34_6_E
4,581A*02:17Kenya Nandi0.00002400_0_S_35_0_E
4,582A*02:17Mali Bandiagara0.004013814_4_N_3_6_W
4,583A*02:17Mexico Mestizo0.00.00004119_24_N_99_9_W
4,584A*02:17Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
4,585A*02:17Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
4,586A*02:17Netherlands Leiden0.00001,30552_9_N_4_31_E
4,587A*02:17Nicaragua Managua0.30.001533912_7_N_86_10_W
4,588A*02:17Oman0.00.000011822_0_N_56_0_E
4,589A*02:17Pakistan Baloch0.00006630_0_N_67_0_E
4,590A*02:17Pakistan Brahui0.000010430_0_N_67_0_E
4,591A*02:17Pakistan Burusho0.00009236_0_N_73_0_E
4,592A*02:17Pakistan Kalash0.00006932_0_N_70_0_E
4,593A*02:17Pakistan Karachi Parsi0.00009124_49_N_66_59_E
4,594A*02:17Pakistan Mixed Pathan0.000010032_0_N_70_0_E
4,595A*02:17Pakistan Mixed Sindhi0.000010124_0_N_68_0_E
4,596A*02:17Panama0.00794628_59_N_79_37_W
4,597A*02:17Philippines Ivatan0.00.00005020_22_N_121_56_E
4,598A*02:17Poland DKMS0.001720,65352_8_N_19_23_E
4,599A*02:17Romania0.30.001034846_0_N_25_0_E
4,600A*02:17Russia Karelia0.00051,07563_9_N_32_59_E
4,601A*02:17Russia Tuva pop 20.003016951_30_N_95_5_E
4,602A*02:17Sao Tome Island Angolar0.0000320_20_N_6_44_E
4,603A*02:17Sao Tome Island Forro0.0080660_20_N_6_44_E
4,604A*02:17Scotland Orkney0.00.00009958_59_N_3_11_W
4,605A*02:17Singapore Chinese0.00.00001491_24_N_103_45_E
4,606A*02:17South Africa Caucasians0.005010230_0_S_25_0_E
4,607A*02:17South Africa Natal Zulu0.00.000010029_0_S_31_0_E
4,608A*02:17Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.30.00134,33541_22_N_2_11_E
4,609A*02:17Taiwan Ami0.00.00009823_0_N_121_0_E
4,610A*02:17Taiwan Atayal0.00.000010624_0_N_121_0_E
4,611A*02:17Taiwan Bunun0.00.000010123_46_N_121_0_E
4,612A*02:17Taiwan Hakka0.00.00005524_0_N_121_0_E
4,613A*02:17Taiwan Minnan pop 10.00.000010224_0_N_121_0_E
4,614A*02:17Taiwan Paiwan0.00.00005123_0_N_121_0_E
4,615A*02:17Taiwan Pazeh0.00.00005525_0_N_121_30_E
4,616A*02:17Taiwan Puyuma0.00.00005023_0_N_121_0_E
4,617A*02:17Taiwan Rukai0.00.00005023_0_N_121_0_E
4,618A*02:17Taiwan Saisiat0.00.00005124_0_N_121_0_E
4,619A*02:17Taiwan Siraya0.00.00005124_0_N_121_0_E
4,620A*02:17Taiwan Tao0.00.00005024_0_N_121_0_E
4,621A*02:17Taiwan Taroko0.00.00005524_0_N_121_0_E
4,622A*02:17Taiwan Thao0.00.00003024_0_N_121_0_E
4,623A*02:17Taiwan Tsou0.00.00005124_0_N_121_0_E
4,624A*02:17Turkey pop 50.007014240_0_N_28_0_E
4,625A*02:17Uganda Kampala0.00001610_3_N_32_6_E
4,626A*02:17USA African American Bethesda0.00.000018738_0_N_78_0_W
4,627A*02:17USA African American pop 40.00002,41144_58_N_93_15_W
4,628A*02:17USA Alaska Yupik0.000025260_48_N_161_26_W
4,629A*02:17USA Asian pop 20.00001,77244_58_N_93_15_W
4,630A*02:17USA Caucasian0.061,65538_53_N_77_2_W
4,631A*02:17USA Caucasian Bethesda0.80.004030738_0_N_78_0_W
4,632A*02:17USA Caucasian pop 40.00091,07038_53_N_77_2_W
4,633A*02:17USA Eastern European0.001055838_53_N_77_2_W
4,634A*02:17USA Hispanic pop 20.00351,99944_58_N_93_15_W
4,635A*02:17USA NMDP African0.000028,55738_45_N_76_6_W
4,636A*02:17USA NMDP African American pop 20.0002416,58138_45_N_76_6_W
4,637A*02:17USA NMDP Caribean Black0.000233,32838_45_N_76_6_W
4,638A*02:17USA NMDP Caribean Hispanic0.0098115,37438_45_N_76_6_W
4,639A*02:17USA NMDP Caribean Indian0.011014,33938_45_N_76_6_W
4,640A*02:17USA NMDP Chinese0.000099,67238_45_N_76_6_W
4,641A*02:17USA NMDP European Caucasian0.00041,242,89038_45_N_76_6_W
4,642A*02:17USA NMDP Filipino0.000150,61438_45_N_76_6_W
4,643A*02:17USA NMDP Hawaiian or other Pacific Islander0.000111,49938_45_N_76_6_W
4,644A*02:17USA NMDP Hispanic South or Central American0.0019146,71438_45_N_76_6_W
4,645A*02:17USA NMDP Korean0.000077,58438_45_N_76_6_W
4,646A*02:17USA NMDP Mexican or Chicano0.0005261,23538_45_N_76_6_W
4,647A*02:17USA NMDP Middle Eastern or North Coast of Africa0.002270,89038_45_N_76_6_W
4,648A*02:17USA NMDP North American Amerindian0.000335,79138_45_N_76_6_W
4,649A*02:17USA NMDP South Asian Indian0.0000185,39138_45_N_76_6_W
4,650A*02:17USA NMDP Southeast Asian0.000127,97838_45_N_76_6_W
4,651A*02:17USA NMDP Vietnamese0.000043,54038_45_N_76_6_W
4,652A*02:17USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
4,653A*02:17USA San Antonio Caucasian0.003022229_23_N_98_33_W
4,654A*02:17USA San Francisco Caucasian0.002022037_46_N_122_25_W
4,655A*02:17USA South Texas Hispanic0.000019429_0_N_98_0_W
4,656A*02:17Venezuela Perja Mountain Bari0.0800559_49_N_72_49_W
4,657A*02:17Zambia Lusaka0.00004415_25_S_28_17_E
4,658A*02:17Zimbabwe Harare Shona0.002023017_51_S_31_1_E
4,659A*02:17:01China North Han0.000010539_54_N_116_24_E
4,660A*02:17:01Mongolia Buryat0.004014147_6_N_118_6_E
4,661A*02:17:01Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
4,662A*02:17:01Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
4,663A*02:17:01Saudi Arabia pop 51.30.006315824_38_N_46_43_E
4,664A*02:17:01Saudi Arabia pop 6 (G)0.000828,92723_52_N_45_4_E
4,665A*02:17:01South Korea pop 30.000048537_33_N_126_59_E
4,666A*02:17:01USA Caucasian0.061,65538_53_N_77_2_W
4,667A*02:17:01USA San Francisco Caucasian0.002022037_46_N_122_25_W
4,668A*02:17:01USA Spain Ancestry0.007027938_0_N_77_0_W
4,669A*02:17:02China North Han0.000010539_54_N_116_24_E
4,670A*02:17:02Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
4,671A*02:17:02Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
4,672A*02:17:02Poland BMR0.20.001123,59552_0_N_19_22_E
4,673A*02:17:02Russia Bashkortostan, Bashkirs0.80.004212054_0_N_55_0_E
4,674A*02:17:02Russia Nizhny Novgorod, Russians0.10.00071,51056_19_N_43_59_E
4,675A*02:17:02Russian Federation Vologda Region0.80.004211959_13_N_39_54_E
4,676A*02:17:02South Korea pop 30.000048537_33_N_126_59_E
4,677A*02:17:02USA Arizona Gila River Pima0.00413,00033_4_N_111_43_W
4,678A*02:17:02USA Caucasian0.061,65538_53_N_77_2_W
4,679A*02:18Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
4,680A*02:18Bulgaria0.00005542_0_N_23_0_E
4,681A*02:18China North Han0.000010539_54_N_116_24_E
4,682A*02:18China Tibet Region Tibetan0.000015829_39_N_91_7_E
4,683A*02:18Croatia0.000015045_0_N_15_0_E
4,684A*02:18Cuba Caucasian0.00.00007023_8_N_82_22_W
4,685A*02:18Cuba Mixed Race0.00.00004223_8_N_82_22_W
4,686A*02:18Czech Republic0.000010650_0_N_14_0_E
4,687A*02:18Hong Kong Chinese0.00.000056922_16_N_114_9_E
4,688A*02:18Ireland Northern0.00.00001,00054_40_N_6_45_W
4,689A*02:18Italy Bergamo0.00.000010145_42_N_9_40_E
4,690A*02:18Italy North pop 30.00.00009743_0_N_12_0_E
4,691A*02:18Japan Central0.001037135_41_N_139_46_E
4,692A*02:18Japan pop 160.000818,60435_41_N_139_46_E
4,693A*02:18Japan pop 30.00101,01835_41_N_139_46_E
4,694A*02:18Mexico Mestizo0.00.00004119_24_N_99_9_W
4,695A*02:18Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
4,696A*02:18Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
4,697A*02:18Netherlands Leiden0.00001,30552_9_N_4_31_E
4,698A*02:18Oman0.00.000011822_0_N_56_0_E
4,699A*02:18Pakistan Baloch0.00006630_0_N_67_0_E
4,700A*02:18Pakistan Brahui0.000010430_0_N_67_0_E
4,701A*02:18Pakistan Burusho0.00009236_0_N_73_0_E
4,702A*02:18Pakistan Kalash0.00006932_0_N_70_0_E
4,703A*02:18Pakistan Karachi Parsi0.00009124_49_N_66_59_E
4,704A*02:18Pakistan Mixed Pathan0.000010032_0_N_70_0_E
4,705A*02:18Pakistan Mixed Sindhi0.000010124_0_N_68_0_E
4,706A*02:18Romania0.00.000034846_0_N_25_0_E
4,707A*02:18Scotland Orkney0.00.00009958_59_N_3_11_W
4,708A*02:18Singapore Chinese0.00.00001491_24_N_103_45_E
4,709A*02:18South Africa Natal Zulu0.00.000010029_0_S_31_0_E
4,710A*02:18South Korea pop 30.000048537_33_N_126_59_E
4,711A*02:18Turkey pop 50.000014240_0_N_28_0_E
4,712A*02:18USA African American Bethesda0.00.000018738_0_N_78_0_W
4,713A*02:18USA Alaska Yupik0.000025260_48_N_161_26_W
4,714A*02:18USA Caucasian0.061,65538_53_N_77_2_W
4,715A*02:18USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
4,716A*02:18USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
4,717A*02:18USA San Antonio Caucasian0.000022229_23_N_98_33_W
4,718A*02:18USA South Texas Hispanic0.000019429_0_N_98_0_W
4,719A*02:19Argentina Chiriguano3.80.02805423_8_S_64_20_W
4,720A*02:19Argentina Gran Chaco Eastern Toba17.90.095013526_11_S_58_11_W
4,721A*02:19Argentina Gran Chaco Mataco Wichi15.90.08004927_27_S_58_59_W
4,722A*02:19Argentina Gran Chaco Western Toba Pilaga0.00.00001927_27_S_58_59_W
4,723A*02:19Argentina Rosario Toba9.30.05208632_57_S_60_39_W
4,724A*02:19Argentina Salta Wichi pop 210.50.07901923_8_S_64_20_W
4,725A*02:19Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
4,726A*02:19Brazil Terena3.30.01706020_0_S_55_0_W
4,727A*02:19Bulgaria0.00005542_0_N_23_0_E
4,728A*02:19China North Han0.000010539_54_N_116_24_E
4,729A*02:19China Tibet Region Tibetan0.000015829_39_N_91_7_E
4,730A*02:19China Yunnan Province Lisu0.006011124_30_N_101_30_E
4,731A*02:19Croatia0.000015045_0_N_15_0_E
4,732A*02:19Cuba Caucasian0.00.00007023_8_N_82_22_W
4,733A*02:19Cuba Mixed Race0.00.00004223_8_N_82_22_W
4,734A*02:19Czech Republic0.000010650_0_N_14_0_E
4,735A*02:19Germany DKMS - German donors0.00003,456,06648_31_N_9_3_E
4,736A*02:19Hong Kong Chinese0.00.000056922_16_N_114_9_E
4,737A*02:19Ireland Northern0.00.00001,00054_40_N_6_45_W
4,738A*02:19Israel Argentina Jews0.00004,30732_8_N_34_52_E
4,739A*02:19Israel Ashkenazi and Non Ashkenazi Jews0.004014631_8_N_35_2_E
4,740A*02:19Israel Morocco Jews0.000036,71832_10_N_34_52_E
4,741A*02:19Italy Bergamo0.00.000010145_42_N_9_40_E
4,742A*02:19Italy North pop 30.00.00009743_0_N_12_0_E
4,743A*02:19Japan Okinawa Ryukyuan0.007014326_4_N_127_8_E
4,744A*02:19Mexico Mestizo0.00.00004119_24_N_99_9_W
4,745A*02:19Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
4,746A*02:19Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
4,747A*02:19Netherlands Leiden0.00001,30552_9_N_4_31_E
4,748A*02:19Oman0.00.000011822_0_N_56_0_E
4,749A*02:19Pakistan Baloch0.00006630_0_N_67_0_E
4,750A*02:19Pakistan Brahui0.000010430_0_N_67_0_E
4,751A*02:19Pakistan Burusho0.00009236_0_N_73_0_E
4,752A*02:19Pakistan Kalash0.00006932_0_N_70_0_E
4,753A*02:19Pakistan Karachi Parsi0.00009124_49_N_66_59_E
4,754A*02:19Pakistan Mixed Pathan0.000010032_0_N_70_0_E
4,755A*02:19Pakistan Mixed Sindhi0.000010124_0_N_68_0_E
4,756A*02:19Philippines Ivatan0.00.00005020_22_N_121_56_E
4,757A*02:19Romania0.00.000034846_0_N_25_0_E
4,758A*02:19Singapore Chinese0.00.00001491_24_N_103_45_E
4,759A*02:19South Africa Natal Zulu0.00.000010029_0_S_31_0_E
4,760A*02:19South Korea pop 30.000048537_33_N_126_59_E
4,761A*02:19Taiwan Ami0.00.00009823_0_N_121_0_E
4,762A*02:19Taiwan Atayal0.00.000010624_0_N_121_0_E
4,763A*02:19Taiwan Bunun0.00.000010123_46_N_121_0_E
4,764A*02:19Taiwan Hakka0.00.00005524_0_N_121_0_E
4,765A*02:19Taiwan Minnan pop 10.00.000010224_0_N_121_0_E
4,766A*02:19Taiwan Paiwan0.00.00005123_0_N_121_0_E
4,767A*02:19Taiwan Pazeh0.00.00005525_0_N_121_30_E
4,768A*02:19Taiwan Puyuma0.00.00005023_0_N_121_0_E
4,769A*02:19Taiwan Rukai0.00.00005023_0_N_121_0_E
4,770A*02:19Taiwan Saisiat0.00.00005124_0_N_121_0_E
4,771A*02:19Taiwan Siraya0.00.00005124_0_N_121_0_E
4,772A*02:19Taiwan Tao0.00.00005024_0_N_121_0_E
4,773A*02:19Taiwan Taroko0.00.00005524_0_N_121_0_E
4,774A*02:19Taiwan Thao0.00.00003024_0_N_121_0_E
4,775A*02:19Taiwan Tsou0.00.00005124_0_N_121_0_E
4,776A*02:19Turkey pop 50.000014240_0_N_28_0_E
4,777A*02:19USA African American Bethesda0.00.000018738_0_N_78_0_W
4,778A*02:19USA African American pop 20.000014932_46_N_96_46_W
4,779A*02:19USA African American pop 40.00002,41144_58_N_93_15_W
4,780A*02:19USA Alaska Yupik0.000025260_48_N_161_26_W
4,781A*02:19USA Asian pop 20.00001,77244_58_N_93_15_W
4,782A*02:19USA Caucasian0.061,65538_53_N_77_2_W
4,783A*02:19USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
4,784A*02:19USA Caucasian pop 30.00008832_46_N_96_48_W
4,785A*02:19USA Hispanic pop 20.00001,99944_58_N_93_15_W
4,786A*02:19USA NMDP African American pop 20.0000416,58138_45_N_76_6_W
4,787A*02:19USA NMDP European Caucasian0.00001,242,89038_45_N_76_6_W
4,788A*02:19USA NMDP Hispanic South or Central American0.0000146,71438_45_N_76_6_W
4,789A*02:19USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
4,790A*02:19USA San Antonio Caucasian0.000022229_23_N_98_33_W
4,791A*02:19USA South Texas Hispanic0.000019429_0_N_98_0_W
4,792A*02:20Brazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
4,793A*02:20Brazil Mixed0.005010823_10_S_47_48_W
4,794A*02:20China Beijing Shijiazhuang Tianjian Han0.002061839_54_N_116_24_E
4,795A*02:20China North Han0.000010539_54_N_116_24_E
4,796A*02:20China Tibet Region Tibetan0.000015829_39_N_91_7_E
4,797A*02:20China Uyghur HIV negative0.02601936_34_N_103_49_E
4,798A*02:20Croatia0.000015045_0_N_15_0_E
4,799A*02:20Cuba Caucasian0.00.00007023_8_N_82_22_W
4,800A*02:20Cuba Mixed Race0.00.00004223_8_N_82_22_W
4,801A*02:20Czech Republic0.000010650_0_N_14_0_E
4,802A*02:20Ecuador Amerindians0.0079630_13_S_78_30_W
4,803A*02:20Georgia Svaneti Region Svan0.00608042_54_N_43_0_E
4,804A*02:20Georgia Tibilisi0.005010941_41_N_44_57_E
4,805A*02:20Germany DKMS - German donors0.00013,456,06648_31_N_9_3_E
4,806A*02:20Germany DKMS - Greece minority0.00081,89448_31_N_9_3_E
4,807A*02:20Germany DKMS - Netherlands minority0.00041,37448_31_N_9_3_E
4,808A*02:20Germany DKMS - Portugal minority0.00301,17648_31_N_9_3_E
4,809A*02:20Germany DKMS - Spain minority0.00051,10748_31_N_9_3_E
4,810A*02:20Germany DKMS - Turkey minority0.00074,85648_31_N_9_3_E
4,811A*02:20Germany pop 60.00018,86251_6_N_10_23_E
4,812A*02:20Germany pop 80.000139,68948_24_N_9_58_E
4,813A*02:20Guinea Bissau Balanta0.01004811_52_N_15_36_W
4,814A*02:20Guinea Bissau Bijago0.00002311_52_N_15_36_W
4,815A*02:20Guinea Bissau Fula0.00003111_52_N_15_36_W
4,816A*02:20Guinea Bissau Papel0.00002511_52_N_15_36_W
4,817A*02:20Hong Kong Chinese0.00.000056922_16_N_114_9_E
4,818A*02:20India Andhra Pradesh Golla0.006011117_5_N_78_5_E
4,819A*02:20Ireland Northern0.00.00001,00054_40_N_6_45_W
4,820A*02:20Israel USA Jews0.00016,05832_10_N_34_52_E
4,821A*02:20Italy Bergamo0.00.000010145_42_N_9_40_E
4,822A*02:20Italy North pop 30.00.00009743_0_N_12_0_E
4,823A*02:20Italy pop 50.001097545_28_N_9_11_E
4,824A*02:20Mexico Mestizo0.00.00004119_24_N_99_9_W
4,825A*02:20Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
4,826A*02:20Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
4,827A*02:20Netherlands Leiden0.00301,30552_9_N_4_31_E
4,828A*02:20Oman0.00.000011822_0_N_56_0_E
4,829A*02:20Pakistan Baloch0.00006630_0_N_67_0_E
4,830A*02:20Pakistan Brahui0.000010430_0_N_67_0_E
4,831A*02:20Pakistan Burusho0.00009236_0_N_73_0_E
4,832A*02:20Pakistan Kalash0.00006932_0_N_70_0_E
4,833A*02:20Pakistan Karachi Parsi0.00009124_49_N_66_59_E
4,834A*02:20Pakistan Mixed Pathan0.005010032_0_N_70_0_E
4,835A*02:20Pakistan Mixed Sindhi0.000010124_0_N_68_0_E
4,836A*02:20Philippines Ivatan0.00.00005020_22_N_121_56_E
4,837A*02:20Portugal Center0.01005039_0_N_8_0_W
4,838A*02:20Portugal North0.00004641_0_N_8_0_W
4,839A*02:20Portugal South0.00004937_0_N_8_0_W
4,840A*02:20Romania0.00.000034846_0_N_25_0_E
4,841A*02:20Saudi Arabia pop 6 (G)0.000228,92723_52_N_45_4_E
4,842A*02:20Singapore Chinese0.00.00001491_24_N_103_45_E
4,843A*02:20South Africa Natal Zulu0.00.000010029_0_S_31_0_E
4,844A*02:20Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.20.00084,33541_22_N_2_11_E
4,845A*02:20Taiwan Ami0.00.00009823_0_N_121_0_E
4,846A*02:20Taiwan Atayal0.00.000010624_0_N_121_0_E
4,847A*02:20Taiwan Bunun0.00.000010123_46_N_121_0_E
4,848A*02:20Taiwan Hakka0.00.00005524_0_N_121_0_E
4,849A*02:20Taiwan Minnan pop 10.00.000010224_0_N_121_0_E
4,850A*02:20Taiwan Paiwan0.00.00005123_0_N_121_0_E
4,851A*02:20Taiwan Pazeh0.00.00005525_0_N_121_30_E
4,852A*02:20Taiwan Puyuma0.00.00005023_0_N_121_0_E
4,853A*02:20Taiwan Rukai0.00.00005023_0_N_121_0_E
4,854A*02:20Taiwan Saisiat0.00.00005124_0_N_121_0_E
4,855A*02:20Taiwan Siraya0.00.00005124_0_N_121_0_E
4,856A*02:20Taiwan Tao0.00.00005024_0_N_121_0_E
4,857A*02:20Taiwan Taroko0.00.00005524_0_N_121_0_E
4,858A*02:20Taiwan Thao0.00.00003024_0_N_121_0_E
4,859A*02:20Taiwan Tsou0.00.00005124_0_N_121_0_E
4,860A*02:20Turkey pop 50.000014240_0_N_28_0_E
4,861A*02:20USA African American Bethesda0.00.000018738_0_N_78_0_W
4,862A*02:20USA African American pop 40.00022,41144_58_N_93_15_W
4,863A*02:20USA Alaska Yupik0.000025260_48_N_161_26_W
4,864A*02:20USA Asian pop 20.00061,77244_58_N_93_15_W
4,865A*02:20USA Caucasian0.061,65538_53_N_77_2_W
4,866A*02:20USA Caucasian Bethesda0.00.000030738_0_N_78_0_W
4,867A*02:20USA Caucasian pop 40.00001,07038_53_N_77_2_W
4,868A*02:20USA Hispanic pop 20.00151,99944_58_N_93_15_W
4,869A*02:20USA NMDP African0.000028,55738_45_N_76_6_W
4,870A*02:20USA NMDP African American pop 20.0000416,58138_45_N_76_6_W
4,871A*02:20USA NMDP Caribean Black0.000033,32838_45_N_76_6_W
4,872A*02:20USA NMDP Caribean Hispanic0.0027115,37438_45_N_76_6_W
4,873A*02:20USA NMDP Caribean Indian0.002014,33938_45_N_76_6_W
4,874A*02:20USA NMDP Chinese0.000099,67238_45_N_76_6_W
4,875A*02:20USA NMDP European Caucasian0.00011,242,89038_45_N_76_6_W
4,876A*02:20USA NMDP Filipino0.000150,61438_45_N_76_6_W
4,877A*02:20USA NMDP Hawaiian or other Pacific Islander0.000111,49938_45_N_76_6_W
4,878A*02:20USA NMDP Hispanic South or Central American0.0003146,71438_45_N_76_6_W
4,879A*02:20USA NMDP Japanese0.000124,58238_45_N_76_6_W
4,880A*02:20USA NMDP Korean0.000077,58438_45_N_76_6_W
4,881A*02:20USA NMDP Mexican or Chicano0.0002261,23538_45_N_76_6_W
4,882A*02:20USA NMDP Middle Eastern or North Coast of Africa0.000270,89038_45_N_76_6_W
4,883A*02:20USA NMDP North American Amerindian0.000135,79138_45_N_76_6_W
4,884A*02:20USA NMDP South Asian Indian0.0011185,39138_45_N_76_6_W
4,885A*02:20USA NMDP Southeast Asian0.000927,97838_45_N_76_6_W
4,886A*02:20USA NMDP Vietnamese0.000143,54038_45_N_76_6_W
4,887A*02:20USA Philadelphia Caucasian0.00.000014139_56_N_75_10_W
4,888A*02:20USA San Antonio Caucasian0.000022229_23_N_98_33_W
4,889A*02:20USA South Texas Hispanic0.000019429_0_N_98_0_W
4,890A*02:20:01Brazil Barra Mansa Rio State Black0.00687322_32_S_44_10_W
4,891A*02:20:01Brazil Barra Mansa Rio State Caucasian0.001240522_32_S_44_10_W
4,892A*02:20:01Brazil Rio de Janeiro Caucasian0.001952122_54_S_43_12_W
4,893A*02:20:01Bulgaria0.00005542_0_N_23_0_E
4,894A*02:20:01China North Han0.000010539_54_N_116_24_E
4,895A*02:20:01England North West0.30.002029853_0_N_3_0_W
4,896A*02:20:01Libya Cyrenaica0.004011832_7_N_20_4_E
4,897A*02:20:01Mexico Guadalajara Mestizo pop 20.010010320_40_N_103_21_W
4,898A*02:20:01Mongolia Buryat0.004014147_6_N_118_6_E
4,899A*02:20:01Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
4,900A*02:20:01Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
4,901A*02:20:01South Korea pop 30.000048537_33_N_126_59_E
4,902A*02:20:01USA African American pop 30.001056438_53_N_77_2_W
4,903A*02:20:01USA Caucasian0.061,65538_53_N_77_2_W
4,904A*02:20:01USA Mexican American Mestizo0.002055338_53_N_77_2_W
4,905A*02:20:01USA San Antonio Caucasian0.000022229_23_N_98_33_W
4,906A*02:20:02Bulgaria0.00005542_0_N_23_0_E
4,907A*02:20:02China North Han0.000010539_54_N_116_24_E
4,908A*02:20:02Mexico Guadalajara Mestizo pop 20.005010320_40_N_103_21_W
4,909A*02:20:02Mongolia Buryat0.004014147_6_N_118_6_E