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Line	Allele	Population	% of individuals that have the allele	Allele Frequency	Sample Size	Location
1	B*51:01	Italy North pop 3	46.6	0.2320	97	43_0_N_12_0_E
2	B*51:01	Japan Hokkaido Ainu		0.1900	50	43_0_N_142_0_E
3	B*51:01	China Uyghur HIV negative		0.1840	19	36_34_N_103_49_E
4	B*51:01	Oman	33.1	0.1780	118	22_0_N_56_0_E
5	B*51:01	Armenia combined Regions		0.1750	100	40_11_N_44_31_E
6	B*51:01	Greece pop 8	30.1	0.1747	83	37_58_N_23_43_E
7	B*51:01	Greece pop 6		0.1722	242	37_58_N_23_43_E
8	B*51:01	China Tibet Region Tibetan		0.1680	158	29_39_N_91_7_E
9	B*51:01	Kosovo	29.8	0.1573	124	42_34_N_21_0_E
10	B*51:01	Georgia Svaneti Region Svan		0.1560	80	42_54_N_43_0_E
11	B*51:01	Saudi Arabia Guraiat and Hail	26.3	0.1490	213	27_31_N_41_41_E
12	B*51:01	Switzerland Lugano		0.1383	1,169	46_0_N_8_55_E
13	B*51:01	United Arab Emirates Abu Dhabi		0.1346	52	24_28_N_54_22_E
14	B*51:01	Portugal North		0.1300	46	41_0_N_8_0_W
15	B*51:01	USA South Dakota Lakota Sioux		0.1300	302	44_30_N_100_0_W
16	B*51:01	Germany DKMS - Greece minority		0.1280	1,894	48_31_N_9_3_E
17	B*51:01	Croatia		0.1270	150	45_0_N_15_0_E
18	B*51:01	Serbia pop 2	23.5	0.1230	102	44_13_N_20_47_E
19	B*51:01	Germany DKMS - Turkey minority		0.1217	4,856	48_31_N_9_3_E
20	B*51:01	Mexico Sonora Seri		0.1210	34	28_57_N_112_34_W
21	B*51:01	Portugal Center		0.1200	50	39_0_N_8_0_W
22	B*51:01	Mexico Chihuahua Chihuahua City Pop 2	23.9	0.1193	88	28_48_N_106_26_W
23	B*51:01	Germany DKMS - Bosnia and Herzegovina minority		0.1177	1,028	48_31_N_9_3_E
24	B*51:01	Iran Yazd		0.1161	56	31_53_N_54_21_E
25	B*51:01	Portugal South		0.1120	49	37_0_N_8_0_W
26	B*51:01	USA North American Native		0.1120	187	30_0_N_95_0_W
27	B*51:01	Croatia pop 4		0.1113	4,000	45_48_N_15_57_E
28	B*51:01	Romania	20.4	0.1080	348	46_0_N_25_0_E
29	B*51:01	Tunisia Gabes		0.1052	95	33_53_N_10_6_E
30	B*51:01	Germany DKMS - Croatia minority		0.1038	2,057	48_31_N_9_3_E
31	B*51:01	USA Alaska Yupik		0.1030	252	60_48_N_161_26_W
32	B*51:01	China Guizhou Province Miao pop 2		0.1020	85	26_50_N_106_50_E
33	B*51:01	Switzerland Graubunden		0.1009	759	46_42_N_9_57_E
34	B*51:01	Malaysia Peninsular Indian	18.5	0.0996	271	3_9_N_101_57_E
35	B*51:01	Argentina Rosario Toba	18.6	0.0990	86	32_57_S_60_39_W
36	B*51:01	Azores Central Islands		0.0980	59	38_0_N_28_0_W
37	B*51:01	Switzerland Sion		0.0967	832	46_15_N_7_23_E
38	B*51:01	Malaysia Kedah Kensiu	19.1	0.0950	21	5_40_N_100_55_E
39	B*51:01	South Korea pop 10		0.0946	4,128	37_33_N_126_58_E
40	B*51:01	Iran Kurd pop 2		0.0920	60	36_17_N_46_17_E
41	B*51:01	USA NMDP Korean		0.0918	77,584	38_45_N_76_6_W
42	B*51:01	Iran Saqqez-Baneh Kurds		0.0917	60	36_14_N_46_16_E
43	B*51:01	Azores Oriental Islands		0.0900	43	36_58_N_25_6_W
44	B*51:01	Switzerland Aargau-Solothurn		0.0900	1,838	46_48_N_8_13_E
45	B*51:01	Japan pop 16		0.0893	18,604	35_41_N_139_46_E
46	B*51:01	USA NMDP Japanese		0.0890	24,582	38_45_N_76_6_W
47	B*51:01	Azores Terceira Island		0.0890	130	38_44_N_27_19_W
48	B*51:01	Spain Andalusia		0.0880	99	37_22_N_5_59_W
49	B*51:01	Iran Tabriz Azeris		0.0876	97	38_4_N_46_17_E
50	B*51:01	Israel Druze		0.0864	5,914	32_41_N_35_17_E
51	B*51:01	Germany DKMS - Portugal minority		0.0859	1,176	48_31_N_9_3_E
52	B*51:01	India Tamil Nadu		0.0854	2,492	11_32_N_78_52_E
53	B*51:01	India South UCBB	16.9	0.0847	11,446	13_6_N_80_8_E
54	B*51:01	Chile Mapuche		0.0846	66	37_48_S_73_23_W
55	B*51:01	Singapore Chinese	15.4	0.0840	149	1_24_N_103_45_E
56	B*51:01	Brazil Belo Horizonte Caucasian	14.7	0.0840	95	19_55_S_43_56_W
57	B*51:01	China Yunnan Province Han		0.0840	101	24_2_N_105_3_E
58	B*51:01	South Korea pop 3		0.0840	485	37_33_N_126_59_E
59	B*51:01	Portugal Azores Terceira Island	16.7	0.0833	130	38_43_N_27_13_W
60	B*51:01	Japan pop 3		0.0830	1,018	35_41_N_139_46_E
61	B*51:01	Italy pop 5		0.0800	975	45_28_N_9_11_E
62	B*51:01	India North UCBB	15.7	0.0786	5,849	28_36_N_77_11_E
63	B*51:01	Germany DKMS - Spain minority		0.0783	1,107	48_31_N_9_3_E
64	B*51:01	USA NMDP Middle Eastern or North Coast of Africa		0.0781	70,890	38_45_N_76_6_W
65	B*51:01	Switzerland Bern		0.0779	3,545	46_57_N_7_27_E
66	B*51:01	Japan Central		0.0770	371	35_41_N_139_46_E
67	B*51:01	Spain Andalusia Romani		0.0760	99	37_22_N_5_59_W
68	B*51:01	Israel Arab pop 2		0.0759	12,301	32_8_N_34_52_E
69	B*51:01	USA NMDP South Asian Indian		0.0747	185,391	38_45_N_76_6_W
70	B*51:01	Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,	14.5	0.0746	4,335	41_22_N_2_11_E
71	B*51:01	Germany DKMS - Austria minority		0.0745	1,698	48_31_N_9_3_E
72	B*51:01	France French Bone Marrow Donor Registry		0.0743	42,623	48_51_N_2_21_E
73	B*51:01	Germany DKMS - Italy minority		0.0742	1,159	48_31_N_9_3_E
74	B*51:01	Germany DKMS - Romania minority		0.0742	1,234	48_31_N_9_3_E
75	B*51:01	Israel Iraq Jews		0.0742	13,270	32_10_N_34_52_E
76	B*51:01	Tunisia	14.0	0.0720	100	35_0_N_9_0_E
77	B*51:01	Israel Georgia Jews		0.0715	4,471	32_10_N_34_53_E
78	B*51:01	Malaysia Kelantan	14.3	0.0710	28	2_30_N_112_30_E
79	B*51:01	Switzerland Zurich		0.0709	4,875	47_22_N_8_32_E
80	B*51:01	Japan pop 5		0.0700	117	35_41_N_139_46_E
81	B*51:01	Switzerland St Gallen		0.0688	2,113	47_26_N_9_21_E
82	B*51:01	Germany DKMS - France minority		0.0679	1,406	48_31_N_9_3_E
83	B*51:01	USA NMDP North American Amerindian		0.0678	35,791	38_45_N_76_6_W
84	B*51:01	Switzerland Luzern		0.0676	1,553	47_3_N_8_18_E
85	B*51:01	India West UCBB	13.5	0.0676	5,829	19_11_N_73_3_E
86	B*51:01	USA Asian		0.0670	358	30_0_N_95_0_W
87	B*51:01	USA NMDP Southeast Asian		0.0670	27,978	38_45_N_76_6_W
88	B*51:01	Switzerland Lausanne		0.0661	993	46_31_N_6_39_E
89	B*51:01	Jordan Amman		0.0660	146	31_35_N_36_20_E
90	B*51:01	Singapore SGVP Chinese CHS		0.0650	96	1_21_N_103_50_E
91	B*51:01	Cuba Caucasian	12.9	0.0640	70	23_8_N_82_22_W
92	B*51:01	USA NMDP Caribean Hispanic		0.0638	115,374	38_45_N_76_6_W
93	B*51:01	Germany pop 8		0.0632	39,689	48_24_N_9_58_E
94	B*51:01	Sudan Mixed	11.5	0.0630	200	5_0_N_35_0_E
95	B*51:01	Sao Tome Island Angolar		0.0630	32	0_20_N_6_44_E
96	B*51:01	USA Asian pop 2		0.0628	1,772	44_58_N_93_15_W
97	B*51:01	USA Hispanic		0.0620	234	30_0_N_95_0_W
98	B*51:01	USA NMDP Caribean Indian		0.0620	14,339	38_45_N_76_6_W
99	B*51:01	India Central UCBB	12.4	0.0617	4,204	27_1_N_81_19_E
100	B*51:01	Sao Tome Island Forro		0.0610	66	0_20_N_6_44_E
101	B*51:01	USA NMDP Hispanic South or Central American		0.0605	146,714	38_45_N_76_6_W
102	B*51:01	India Delhi pop 2	12.1	0.0600	90	28_36_N_77_13_E
103	B*51:01	Malaysia Sarawak Bau Bidayuh		0.0600	25	1_25_N_110_9_E
104	B*51:01	Poland		0.0600	200	51_7_N_17_2_E
105	B*51:01	Mexico Mexico City Mestizo pop 2		0.0598	234	19_26_N_99_8_W
106	B*51:01	Mexico Tixcacaltuyub Maya		0.0597	67	20_29_N_88_54_W
107	B*51:01	France Southeast	11.5	0.0590	130	46_0_N_5_0_E
108	B*51:01	USA NMDP Mexican or Chicano		0.0578	261,235	38_45_N_76_6_W
109	B*51:01	USA Hispanic pop 2		0.0578	1,999	44_58_N_93_15_W
110	B*51:01	Sri Lanka Colombo	10.8	0.0570	714	6_56_N_79_50_E
111	B*51:01	USA Caucasian pop 2		0.0570	265	30_0_N_95_0_W
112	B*51:01	USA European American pop 2		0.0570	1,245	39_24_N_77_25_W
113	B*51:01	USA NMDP Alaska Native or Aleut		0.0570	1,376	38_45_N_76_6_W
114	B*51:01	Zambia Lusaka		0.0570	44	15_25_S_28_17_E
115	B*51:01	Germany DKMS - German donors		0.0568	3,456,066	48_31_N_9_3_E
116	B*51:01	Colombia Bogotá Cord Blood	11.0	0.0564	1,463	4_39_N_73_52_W
117	B*51:01	China Southwest Dai		0.0560	124	22_0_N_100_48_E
118	B*51:01	Netherlands Leiden		0.0560	1,305	52_9_N_4_31_E
119	B*51:01	USA NMDP American Indian South or Central America		0.0560	5,926	38_45_N_76_6_W
120	B*51:01	Mexico Mexico City Mestizo population		0.0559	143	19_25_N_99_7_W
121	B*51:01	Germany pop 6		0.0553	8,862	51_6_N_10_23_E
122	B*51:01	China Guangzhou		0.0550	102	23_6_N_113_15_E
123	B*51:01	Iran Gorgan		0.0550	64	36_50_N_54_43_E
124	B*51:01	Mexico Mexico City Tlalpan	10.9	0.0545	330	19_25_N_99_8_W
125	B*51:01	China Beijing Shijiazhuang Tianjian Han		0.0540	618	39_54_N_116_24_E
126	B*51:01	China Beijing		0.0530	67	39_58_N_116_24_E
127	B*51:01	Austria	10.0	0.0520	200	48_13_N_16_21_E
128	B*51:01	China Marrow Donor Registry		0.0520	600	39_54_N_116_23_E
129	B*51:01	China Hubei Han	10.3	0.0517	3,732	30_45_N_114_15_E
130	B*51:01	Germany DKMS - Netherlands minority		0.0517	1,374	48_31_N_9_3_E
131	B*51:01	Czech Republic NMDR		0.0512	5,099	49_48_N_15_30_E
132	B*51:01	Israel Ethiopia Jews		0.0509	5,928	32_8_N_34_52_E
133	B*51:01	USA San Diego	9.9	0.0500	496	32_50_N_117_15_W
134	B*51:01	Brazil Puyanawa	9.3	0.0500	150	10_52_S_53_5_W
135	B*51:01	Uganda Kampala		0.0500	161	0_3_N_32_6_E
136	B*51:01	Mexico Mestizo	9.8	0.0490	41	19_24_N_99_9_W
137	B*51:01	China Canton Han		0.0490	264	23_6_N_113_15_E
138	B*51:01	Cuba Mixed Race	9.5	0.0480	42	23_8_N_82_22_W
139	B*51:01	India East UCBB	9.6	0.0479	2,403	22_25_N_88_18_E
140	B*51:01	Switzerland Geneva pop 2		0.0477	1,267	46_12_N_6_8_E
141	B*51:01	Gaza	9.5	0.0476	42	31_22_N_34_18_E
142	B*51:01	Mexico Veracruz Xalapa	9.5	0.0476	84	19_32_N_96_55_W
143	B*51:01	USA NMDP European Caucasian		0.0473	1,242,890	38_45_N_76_6_W
144	B*51:01	England North West	9.4	0.0470	298	53_0_N_3_0_W
145	B*51:01	Poland DKMS		0.0471	20,653	52_8_N_19_23_E
146	B*51:01	Netherlands UMCU	9.4	0.0469	64	52_5_N_5_10_E
147	B*51:01	China Jiangsu Province Han		0.0467	334	32_54_N_119_48_E
148	B*51:01	Switzerland Basel		0.0461	1,888	47_33_N_7_34_E
149	B*51:01	China Jiangsu Han		0.0460	3,238	32_54_N_119_48_E
150	B*51:01	Thailand		0.0460	142	16_7_N_102_0_E
151	B*51:01	USA NMDP Chinese		0.0457	99,672	38_45_N_76_6_W
152	B*51:01	Germany DKMS - China minority		0.0453	1,282	48_31_N_9_3_E
153	B*51:01	USA San Antonio Caucasian		0.0452	222	29_23_N_98_33_W
154	B*51:01	Australia New South Wales Caucasian		0.0450	134	33_0_S_146_0_E
155	B*51:01	Russia Karelia		0.0449	1,075	63_9_N_32_59_E
156	B*51:01	Panama		0.0442	462	8_59_N_79_37_W
157	B*51:01	China Guizhou Province Shui		0.0440	153	26_50_N_106_50_E
158	B*51:01	Singapore SGVP. Indian INS		0.0440	86	1_21_N_103_50_E
159	B*51:01	Taiwan Han Chinese		0.0440	504	23_46_N_121_0_E
160	B*51:01	Israel Tunisia Jews		0.0434	9,070	32_10_N_34_52_E
161	B*51:01	Hong Kong Chinese cord blood registry		0.0430	3,892	22_15_N_114_10_E
162	B*51:01	Hong Kong Chinese	8.6	0.0430	569	22_16_N_114_9_E
163	B*51:01	Morocco Nador Metalsa pop 2		0.0430	73	35_10_N_2_56_W
164	B*51:01	USA South Texas Hispanic		0.0430	194	29_0_N_98_0_W
165	B*51:01	Taiwan Tzu Chi Morrow Donor Registry		0.0424	46,682	25_2_N_121_38_E
166	B*51:01	Nicaragua Managua	8.4	0.0422	339	12_7_N_86_10_W
167	B*51:01	Hong Kong Chinese BMDR		0.0421	7,595	22_15_N_114_10_E
168	B*51:01	Kenya Nandi		0.0420	240	0_0_S_35_0_E
169	B*51:01	Israel Iran Jews		0.0415	8,153	32_8_N_34_52_E
170	B*51:01	Germany DKMS - United Kingdom minority		0.0415	1,043	48_31_N_9_3_E
171	B*51:01	USA Philadelphia Caucasian	7.4	0.0410	141	39_56_N_75_10_W
172	B*51:01	Taiwan Tzu Chi Cord Blood Bank		0.0400	710	23_46_N_121_0_E
173	B*51:01	USA Caucasian pop 4		0.0391	1,070	38_53_N_77_2_W
174	B*51:01	China Yunnan Bulang		0.0390	116	21_57_N_100_27_E
175	B*51:01	Mexico Oaxaca Mixtec		0.0390	103	17_5_N_96_45_W
176	B*51:01	Taiwan pop 3		0.0390	212	23_46_N_121_0_E
177	B*51:01	USA San Francisco Caucasian		0.0390	220	37_46_N_122_25_W
178	B*51:01	Israel Kavkazi Jews		0.0377	2,840	32_10_N_34_52_E
179	B*51:01	USA NMDP Filipino		0.0376	50,614	38_45_N_76_6_W
180	B*51:01	Tanzania Maasai	7.2	0.0374	336	3_11_S_37_4_E
181	B*51:01	Malaysia Peninsular Malay	7.5	0.0373	951	3_9_N_101_57_E
182	B*51:01	Argentina Gran Chaco Western Toba Pilaga	7.1	0.0360	19	27_27_S_58_59_W
183	B*51:01	Chile Santiago Mixed	7.0		70	33_26_S_70_39_W
184	B*51:01	Argentina Gran Chaco Eastern Toba	6.0	0.0350	135	26_11_S_58_11_W
185	B*51:01	Sweden Southern Sami		0.0350	130	60_52_N_14_44_E
186	B*51:01	Vietnam Hanoi Kinh pop 2		0.0350	170	21_2_N_105_51_E
187	B*51:01	Indonesia Java Western	6.4		236	7_30_S_111_15_E
188	B*51:01	Cameroon Bamileke		0.0320	77	5_28_N_10_25_E
189	B*51:01	Taiwan pop 2		0.0320	364	23_46_N_121_0_E
190	B*51:01	Israel Argentina Jews		0.0311	4,307	32_8_N_34_52_E
191	B*51:01	China Han HIV negative		0.0310	72	36_34_N_103_49_E
192	B*51:01	China Henan HIV negative		0.0310	16	34_0_N_113_40_E
193	B*51:01	India Northeast UCBB	6.1	0.0304	296	26_16_N_91_48_E
194	B*51:01	Kenya, Nyanza Province, Luo tribe	6.0	0.0300	100	0_5_S_34_46_E
195	B*51:01	Israel USSR Jews		0.0291	45,681	32_9_N_34_50_E
196	B*51:01	Russia Bering Island Aleuts		0.0288	104	55_0_N_166_15_E
197	B*51:01	Israel YemenJews		0.0281	15,542	32_9_N_34_50_E
198	B*51:01	USA Caucasian Bethesda	5.4	0.0270	307	38_0_N_78_0_W
199	B*51:01	Ireland Northern	5.2	0.0270	1,000	54_40_N_6_45_W
200	B*51:01	USA African American Bethesda	5.3	0.0260	187	38_0_N_78_0_W
201	B*51:01	Mexico Mixtec		0.0260	97	23_57_N_103_29_W
202	B*51:01	Mexico Oaxaca Jamiltepec Mixtec		0.0260	96	16_25_N_97_58_W
203	B*51:01	Malaysia Peninsular Chinese	5.2	0.0258	194	3_9_N_101_57_E
204	B*51:01	Mali Bandiagara		0.0250	138	14_4_N_3_6_W
205	B*51:01	USA NMDP African		0.0241	28,557	38_45_N_76_6_W
206	B*51:01	USA NMDP Hawaiian or other Pacific Islander		0.0236	11,499	38_45_N_76_6_W
207	B*51:01	Israel Bukhara Jews		0.0230	2,317	32_8_N_34_52_E
208	B*51:01	China Shanxi HIV negative		0.0230	22	36_5_N_111_50_E
209	B*51:01	Kenya Luo		0.0230	265	0_0_S_34_6_E
210	B*51:01	Israel USA Jews		0.0229	6,058	32_10_N_34_52_E
211	B*51:01	USA NMDP Vietnamese		0.0228	43,540	38_45_N_76_6_W
212	B*51:01	USA NMDP Caribean Black		0.0226	33,328	38_45_N_76_6_W
213	B*51:01	Mexico Oaxaca Zapotec		0.0220	90	17_5_N_96_45_W
214	B*51:01	USA African American pop 4		0.0218	2,411	44_58_N_93_15_W
215	B*51:01	USA NMDP African American pop 2		0.0217	416,581	38_45_N_76_6_W
216	B*51:01	USA African American pop 8		0.0210	605	39_24_N_77_25_W
217	B*51:01	Israel Poland Jews		0.0201	13,871	32_10_N_34_52_E
218	B*51:01	China Guizhou Province Bouyei		0.0200	109	26_50_N_106_50_E
219	B*51:01	Ghana Ga-Adangbe	3.8	0.0191	131	5_45_N_0_12_E
220	B*51:01	South Africa Worcester	4.0	0.0190	159	33_39_S_19_27_E
221	B*51:01	Malaysia Mandailing	3.7	0.0190	27	2_30_N_112_30_E
222	B*51:01	China Guangxi Region Maonan		0.0190	108	23_48_N_108_59_E
223	B*51:01	New Caledonia		0.0190	65	21_0_S_165_0_E
224	B*51:01	Ireland South	3.6	0.0180	250	53_20_N_6_15_W
225	B*51:01	Malaysia Champa	3.5	0.0170	29	2_30_N_112_30_E
226	B*51:01	Israel Ashkenazi Jews pop 3		0.0152	4,625	32_8_N_34_52_E
227	B*51:01	Cameroon Beti		0.0140	174	2_55_N_11_9_E
228	B*51:01	Peru Titikaka Lake Uro		0.0140	105	15_50_S_69_42_W
229	B*51:01	Peru Titikaka Lake Uros		0.0140	105	15_50_S_70_1_W
230	B*51:01	Malaysia Pahang Semai	2.6	0.0130	38	4_11_N_102_3_E
231	B*51:01	Taiwan Tzu Chi Morrow Donor Registry Aborigine		0.0129	233	25_2_N_121_38_E
232	B*51:01	Italy North Pavia		0.0120	81	45_11_N_9_9_E
233	B*51:01	USA African American		0.0120	252	30_0_N_95_0_W
234	B*51:01	USA African American pop 3		0.0110	564	38_53_N_77_2_W
235	B*51:01	Mexico Chichen Itza Maya (prehispanic)		0.0106	47	20_40_N_88_34_W
236	B*51:01	Taiwan Siraya	2.0	0.0100	51	24_0_N_121_0_E
237	B*51:01	China Yunnan Hani		0.0100	150	21_59_N_100_49_E
238	B*51:01	Sweden Northern Sami		0.0100	154	67_0_N_18_30_E
239	B*51:01	Colombia North Wiwa El Encanto		0.0096	52	10_10_N_73_53_W
240	B*51:01	Mexico Chiapas Lacandon Mayans		0.0092	218	16_54_N_92_5_W
241	B*51:01	Brazil Terena	1.7	0.0090	60	20_0_S_55_0_W
242	B*51:01	Czech Republic		0.0090	106	50_0_N_14_0_E
243	B*51:01	Mexico Oaxaca Mixe		0.0090	55	17_5_N_96_45_W
244	B*51:01	Uganda Kampala pop 2		0.0090	175	0_20_N_32_30_E
245	B*51:01	Israel Morocco Jews		0.0074	36,718	32_10_N_34_52_E
246	B*51:01	Australia Groote Eylandt Aborigine		0.0070	75	13_58_S_136_35_E
247	B*51:01	Singapore SGVP Malay MAS		0.0060	89	1_21_N_103_50_E
248	B*51:01	Israel Libya Jews		0.0040	3,739	32_10_N_34_52_E
249	B*51:01	Zimbabwe Harare Shona		0.0040	230	17_51_S_31_1_E
250	B*51:01	USA Arizona Gila River Amerindian		0.0020	492	33_4_N_111_44_W
251	B*51:01	Brazil Vale do Ribeira Quilombos	0.0	0.0000	144	24_36_S_48_15_W
252	B*51:01	Argentina Gran Chaco Mataco Wichi	0.0	0.0000	49	27_27_S_58_59_W
253	B*51:01	Australia Yuendumu Aborigine		0.0000	191	22_15_S_131_47_E
254	B*51:01	Cameroon Baka Pygmy		0.0000	10	8_30_N_14_0_E
255	B*51:01	Cameroon Sawa		0.0000	13	4_50_N_10_0_E
256	B*51:01	China North Han		0.0000	105	39_54_N_116_24_E
257	B*51:01	Papua New Guinea East New Britain Rabaul		0.0000	60	4_12_S_152_11_E
258	B*51:01	Papua New Guinea Eastern Highlands Goroka Asaro		0.0000	57	6_5_S_145_23_E
259	B*51:01	Papua New Guinea Karimui Plateau Pawaia		0.0000	80	7_14_S_145_20_E
260	B*51:01	Papua New Guinea Madang		0.0000	65	5_13_S_145_48_E
261	B*51:01	Papua New Guinea Wanigela Keapara		0.0000	66	10_5_S_147_50_E
262	B*51:01	Papua New Guinea West Schrader Ranges Haruai		0.0000	55	5_5_S_144_10_E
263	B*51:01	Papua New Guinea Wosera Abelam		0.0000	131	3_48_S_143_2_E
264	B*51:01	South Africa Natal Zulu	0.0	0.0000	100	29_0_S_31_0_E
265	B*51:01:01	Canada Cree NA-DHS_3 (G)	50.0	0.3056	18	50_20_N_102_30_W
266	B*51:01:01	Bulgaria		0.2090	55	42_0_N_23_0_E
267	B*51:01:01	Saudi Arabia pop 6 (G)		0.1901	28,927	23_52_N_45_4_E
268	B*51:01:01	Georgia Tibilisi		0.1570	109	41_41_N_44_57_E
269	B*51:01:01	India Tamil Nadu Nadar		0.1560	61	8_0_N_77_0_E
270	B*51:01:01	Chile Huilliche NA-DHS_14 (G)	25.0	0.1500	20	41_0_S_73_0_W
271	B*51:01:01	China North Han		0.1480	105	39_54_N_116_24_E
272	B*51:01:01	Saudi Arabia pop 5	22.8	0.1361	158	24_38_N_46_43_E
273	B*51:01:01	Russia Bashkortostan, Bashkirs	23.3	0.1292	120	54_0_N_55_0_E
274	B*51:01:01	Georgia Tibilisi Kurd		0.1210	31	41_41_N_44_57_E
275	B*51:01:01	India Andhra Pradesh Golla		0.1200	111	17_5_N_78_5_E
276	B*51:01:01	China Qinghai Province Hui		0.1140	110	36_0_N_102_0_E
277	B*51:01:01	India Andhra Pradesh Telugu Speaking	21.5	0.1129	186	13_4_N_80_14_E
278	B*51:01:01	Canada Chipewyan NA-DHS_2 (G)	16.0	0.1000	25	59_36_N_107_20_W
279	B*51:01:01	India New Delhi		0.0980	71	28_37_N_77_13_E
280	B*51:01:01	Libya Cyrenaica		0.0980	118	32_7_N_20_4_E
281	B*51:01:01	Madeira		0.0970	185	32_44_N_16_58_W
282	B*51:01:01	Russia Tundra Nentsi NA-DHS_1 (G)	18.8	0.0938	16	66_0_N_76_0_E
283	B*51:01:01	South Africa Natal Tamil		0.0920	51	30_0_S_31_0_E
284	B*51:01:01	USA Hawaii Okinawa		0.0870	106	21_0_N_157_0_W
285	B*51:01:01	Brazil Barra Mansa Rio State Caucasian		0.0852	405	22_32_S_44_10_W
286	B*51:01:01	Cape Verde Northwestern Islands		0.0810	62	16_0_N_24_0_W
287	B*51:01:01	Brazil Rio de Janeiro Caucasian		0.0806	521	22_54_S_43_12_W
288	B*51:01:01	Mexico Hidalgo Mezquital Valley/ Otomi	15.3	0.0764	72	20_28_N_99_13_W
289	B*51:01:01	India Kerala Malayalam speaking	14.6	0.0760	356	13_1_N_80_15_E
290	B*51:01:01	Cape Verde Southeastern Islands		0.0730	62	16_0_N_24_0_W
291	B*51:01:01	India Karnataka Kannada Speaking	12.1	0.0690	174	12_57_N_77_36_E
292	B*51:01:01	India Mumbai Maratha		0.0680	91	18_58_N_72_49_E
293	B*51:01:01	Canada Ojibwa NA-DHS_4 (G)	13.3	0.0667	16	46_0_N_81_0_W
294	B*51:01:01	Colombia Wayuu NA-DHS_15 (G)	13.3	0.0667	15	11_0_N_73_0_W
295	B*51:01:01	Brazil Rio de Janeiro Parda		0.0618	170	22_54_S_43_12_W
296	B*51:01:01	Russia Tuva pop 2		0.0610	169	51_30_N_95_5_E
297	B*51:01:01	Israel Arab Druze		0.0600	101	31_8_N_35_2_E
298	B*51:01:01	China Inner Mongolia Region		0.0590	102	36_0_N_102_0_E
299	B*51:01:01	Spain, Canary Islands, Gran canaria island	11.6	0.0581	215	27_57_N_15_36_W
300	B*51:01:01	Czech Republic		0.0570	106	50_0_N_14_0_E
301	B*51:01:01	Finland		0.0560	91	63_29_N_25_16_E
302	B*51:01:01	Iran Baloch		0.0560	100	29_29_N_60_52_E
303	B*51:01:01	Russia Belgorod region	11.1	0.0556	153	50_46_N_37_27_E
304	B*51:01:01	USA Eastern European		0.0530	558	38_53_N_77_2_W
305	B*51:01:01	USA Italy Ancestry		0.0530	273	38_0_N_77_0_W
306	B*51:01:01	USA Mexican American Mestizo		0.0530	553	38_53_N_77_2_W
307	B*51:01:01	Guatemala Kaqchikel NA-DHS_8 (G)	10.5	0.0526	19	15_0_N_91_0_W
308	B*51:01:01	Brazil Rio de Janeiro Black		0.0522	68	22_54_S_43_12_W
309	B*51:01:01	Brazil Mixed		0.0510	108	23_10_S_47_48_W
310	B*51:01:01	Colombia Waunana NA-DHS_20 (G)	10.0	0.0500	20	5_0_N_77_0_W
311	B*51:01:01	Mexico Guadalajara Mestizo pop 2		0.0490	103	20_40_N_103_21_W
312	B*51:01:01	USA New Mexico Canoncito Navajo		0.0490	42	34_9_N_107_3_W
313	B*51:01:01	China Zhejiang Han		0.0484	1,734	27_2_N_118_1_E
314	B*51:01:01	Brazil Barra Mansa Rio State Black		0.0479	73	22_32_S_44_10_W
315	B*51:01:01	Bolivia/Peru Quechua NA-DHS_12 (G)	9.5	0.0476	21	14_0_S_74_0_W
316	B*51:01:01	Poland BMR	9.2	0.0467	23,595	52_0_N_19_22_E
317	B*51:01:01	Costa Rica Guanacaste Mestizo (G)	9.2	0.0460	110	10_16_N_85_37_W
318	B*51:01:01	China South Han		0.0460	284	23_1_N_113_3_E
319	B*51:01:01	South Africa Caucasians		0.0460	102	30_0_S_25_0_E
320	B*51:01:01	Nicaragua Mestizo (G)	9.0	0.0450	155	12_40_N_85_13_W
321	B*51:01:01	England Blood Donors of Mixed Ethnicity	8.3	0.0424	519	52_21_N_1_10_W
322	B*51:01:01	China Yunnan Province Wa		0.0420	119	24_30_N_101_30_E
323	B*51:01:01	Russia Bashkortostan, Tatars	8.3	0.0417	192	54_13_N_56_9_E
324	B*51:01:01	Morocco Settat Chaouya	8.2	0.0410	98	33_0_N_7_36_W
325	B*51:01:01	Morocco Atlantic Coast Chaouya		0.0410	98	30_22_N_7_22_W
326	B*51:01:01	South African Indian population	8.0	0.0400	50	29_22_S_24_31_E
327	B*51:01:01	Taiwan Minnan pop 1	7.8	0.0390	102	24_0_N_121_0_E
328	B*51:01:01	USA San Francisco Caucasian		0.0390	220	37_46_N_122_25_W
329	B*51:01:01	India North pop 2		0.0380	72	25_0_N_74_0_E
330	B*51:01:01	Colombia Embera NA-DHS_19 (G)	7.1	0.0357	14	7_0_N_76_0_W
331	B*51:01:01	Colombia Inga NA-DHS_11 (G)	7.1	0.0357	16	1_0_N_77_0_W
332	B*51:01:01	Russia Nizhny Novgorod, Russians	6.6	0.0334	1,510	56_19_N_43_59_E
333	B*51:01:01	Hong Kong Chinese HKBMDR HLA 11 loci	6.5	0.0330	5,266	22_25_N_114_17_E
334	B*51:01:01	Indonesia Sundanese and Javanese		0.0320	201	6_8_S_106_10_E
335	B*51:01:01	Thailand pop 3		0.0310	49	13_45_N_100_29_E
336	B*51:01:01	South African Mixed ancestry	6.0	0.0300	50	29_22_S_24_31_E
337	B*51:01:01	Mexico Zapotec NA-DHS_7 (G)	5.9	0.0294	20	16_0_N_97_0_W
338	B*51:01:01	Costa Rica Amerindians (G)	5.8	0.0290	125	9_34_N_83_25_W
339	B*51:01:01	Costa Rica Central Valley Mestizo (G)	5.8	0.0290	221	9_55_N_84_5_W
340	B*51:01:01	Indonesia Java pop 2		0.0280	36	6_8_S_106_10_E
341	B*51:01:01	Costa Rica Guaymi NA-DHS_10 (G)	5.6	0.0278	18	9_0_N_82_0_W
342	B*51:01:01	Taiwan Hakka	5.5	0.0270	55	24_0_N_121_0_E
343	B*51:01:01	Russian Federation Vologda Region	5.0	0.0252	119	59_13_N_39_54_E
344	B*51:01:01	Bolivia/Chile Aymara NA-DHS_13 (G)	5.0	0.0250	20	22_0_S_70_0_W
345	B*51:01:01	Mexico Mixtec NA-DHS_5 (G)	5.0	0.0250	20	17_0_N_97_0_W
346	B*51:01:01	China Jingpo Minority	4.9	0.0240	105	25_0_N_102_0_E
347	B*51:01:01	Ivory Coast Adiopodoume Akan		0.0230	44	5_20_N_4_0_W
348	B*51:01:01	Singapore Chinese Han		0.0230	94	1_17_N_103_51_E
349	B*51:01:01	Costa Rica African -Caribbean (G)	4.0	0.0200	102	9_59_N_83_1_W
350	B*51:01:01	Taiwan Saisiat	3.9	0.0200	51	24_0_N_121_0_E
351	B*51:01:01	Singapore Javaneses		0.0200	51	1_24_N_103_45_E
352	B*51:01:01	Vietnam Kinh	4.0	0.0198	101	14_5_N_108_27_E
353	B*51:01:01	Kenya		0.0170	144	1_28_S_36_8_E
354	B*51:01:01	Cameroon Yaounde		0.0160	92	3_52_N_11_31_E
355	B*51:01:01	Senegal Niokholo Mandenka		0.0160	165	12_35_N_12_9_W
356	B*51:01:01	Guinea Bissau		0.0150	65	12_0_N_15_0_W
357	B*51:01:01	South African Black	2.1	0.0141	142	29_9_S_24_39_E
358	B*51:01:01	China Yunnan Province Jinuo		0.0140	109	24_30_N_101_30_E
359	B*51:01:01	USA Arizona Pima		0.0110	100	33_0_N_113_0_W
360	B*51:01:01	Venezuela Perja Mountain Bari		0.0110	55	9_49_N_72_49_W
361	B*51:01:01	Taiwan Pazeh	1.8	0.0090	55	25_0_N_121_30_E
362	B*51:01:01	USA Spain Ancestry		0.0090	279	38_0_N_77_0_W
363	B*51:01:01	China Guangdong Province Meizhou Han		0.0050	100	24_27_N_116_7_E
364	B*51:01:01	Israel Ashkenazi and Non Ashkenazi Jews		0.0050	146	31_8_N_35_2_E
365	B*51:01:01	Singapore Thai		0.0050	100	1_24_N_103_45_E
366	B*51:01:01	USA Arizona Gila River Pima		0.0020	3,000	33_4_N_111_43_W
367	B*51:01:01	Morocco Nador Metalsa pop 2		0.0000	73	35_10_N_2_56_W
368	B*51:01:01	Philippines Ivatan	0.0	0.0000	50	20_22_N_121_56_E
369	B*51:01:01	South Korea pop 3		0.0000	485	37_33_N_126_59_E
370	B*51:01:01	Taiwan Ami	0.0	0.0000	98	23_0_N_121_0_E
371	B*51:01:01	Taiwan Atayal	0.0	0.0000	106	24_0_N_121_0_E
372	B*51:01:01	Taiwan Bunun	0.0	0.0000	101	23_46_N_121_0_E
373	B*51:01:01	Taiwan Paiwan	0.0	0.0000	51	23_0_N_121_0_E
374	B*51:01:01	Taiwan Puyuma	0.0	0.0000	50	23_0_N_121_0_E
375	B*51:01:01	Taiwan Rukai	0.0	0.0000	50	23_0_N_121_0_E
376	B*51:01:01	Taiwan Siraya	0.0	0.0000	51	24_0_N_121_0_E
377	B*51:01:01	Taiwan Tao	0.0	0.0000	50	24_0_N_121_0_E
378	B*51:01:01	Taiwan Taroko	0.0	0.0000	55	24_0_N_121_0_E
379	B*51:01:01	Taiwan Thao	0.0	0.0000	30	24_0_N_121_0_E
380	B*51:01:01	Taiwan Tsou	0.0	0.0000	51	24_0_N_121_0_E
381	B*51:01:01:01	Russia Bashkortostan, Bashkirs	0.8	0.0042	120	54_0_N_55_0_E
382	B*51:01:01:01	Russia Nizhny Novgorod, Russians	0.7	0.0036	1,510	56_19_N_43_59_E
383	B*51:01:01:01	Russia Bashkortostan, Tatars	0.5	0.0026	192	54_13_N_56_9_E
384	B*51:01:02	Malaysia Kedah Baling Kensiu		0.1000	25	5_40_N_100_55_E
385	B*51:01:02	Malaysia Perak Grik Jehai		0.0400	25	5_25_N_101_8_E
386	B*51:01:02	Singapore Thai		0.0300	100	1_24_N_103_45_E
387	B*51:01:02	Iran Baloch		0.0250	100	29_29_N_60_52_E
388	B*51:01:02	Singapore Riau Malay		0.0150	132	1_24_N_103_45_E
389	B*51:01:02	South African Mixed ancestry	2.0	0.0100	50	29_22_S_24_31_E
390	B*51:01:02	China Guangdong Province Meizhou Han		0.0100	100	24_27_N_116_7_E
391	B*51:01:02	India Khandesh Region Pawra		0.0100	50	20_54_N_74_46_E
392	B*51:01:02	Cape Verde Northwestern Islands		0.0080	62	16_0_N_24_0_W
393	B*51:01:02	Hong Kong Chinese HKBMDR HLA 11 loci	1.0	0.0051	5,266	22_25_N_114_17_E
394	B*51:01:02	China Inner Mongolia Region		0.0050	102	36_0_N_102_0_E
395	B*51:01:02	China North Han		0.0050	105	39_54_N_116_24_E
396	B*51:01:02	China Qinghai Province Hui		0.0050	110	36_0_N_102_0_E
397	B*51:01:02	Israel Ashkenazi and Non Ashkenazi Jews		0.0050	146	31_8_N_35_2_E
398	B*51:01:02	China South Han		0.0040	284	23_1_N_113_3_E
399	B*51:01:02	Saudi Arabia pop 5	0.6	0.0032	158	24_38_N_46_43_E
400	B*51:01:02	China Zhejiang Han		0.0029	1,734	27_2_N_118_1_E
401	B*51:01:02	Poland BMR	0.0	0.0000	23,595	52_0_N_19_22_E
402	B*51:01:02	Saudi Arabia pop 6 (G)		0.0000	28,927	23_52_N_45_4_E
403	B*51:01:02	Bulgaria		0.0000	55	42_0_N_23_0_E
404	B*51:01:02	Cape Verde Southeastern Islands		0.0000	62	16_0_N_24_0_W
405	B*51:01:02	Czech Republic		0.0000	106	50_0_N_14_0_E
406	B*51:01:02	Guinea Bissau		0.0000	65	12_0_N_15_0_W
407	B*51:01:02	India Mumbai Maratha		0.0000	91	18_58_N_72_49_E
408	B*51:01:02	India West Bhil		0.0000	50	20_54_N_74_46_E
409	B*51:01:02	India West Coast Parsi		0.0000	50	18_0_N_74_0_E
410	B*51:01:02	Morocco Nador Metalsa pop 2		0.0000	73	35_10_N_2_56_W
411	B*51:01:02	Morocco Settat Chaouya	0.0	0.0000	98	33_0_N_7_36_W
412	B*51:01:02	Philippines Ivatan	0.0	0.0000	50	20_22_N_121_56_E
413	B*51:01:02	South Korea pop 3		0.0000	485	37_33_N_126_59_E
414	B*51:01:02	Taiwan Ami	0.0	0.0000	98	23_0_N_121_0_E
415	B*51:01:02	Taiwan Atayal	0.0	0.0000	106	24_0_N_121_0_E
416	B*51:01:02	Taiwan Bunun	0.0	0.0000	101	23_46_N_121_0_E
417	B*51:01:02	Taiwan Hakka	0.0	0.0000	55	24_0_N_121_0_E
418	B*51:01:02	Taiwan Minnan pop 1	0.0	0.0000	102	24_0_N_121_0_E
419	B*51:01:02	Taiwan Paiwan	0.0	0.0000	51	23_0_N_121_0_E
420	B*51:01:02	Taiwan Pazeh	0.0	0.0000	55	25_0_N_121_30_E
421	B*51:01:02	Taiwan Puyuma	0.0	0.0000	50	23_0_N_121_0_E
422	B*51:01:02	Taiwan Rukai	0.0	0.0000	50	23_0_N_121_0_E
423	B*51:01:02	Taiwan Saisiat	0.0	0.0000	51	24_0_N_121_0_E
424	B*51:01:02	Taiwan Siraya	0.0	0.0000	51	24_0_N_121_0_E
425	B*51:01:02	Taiwan Tao	0.0	0.0000	50	24_0_N_121_0_E
426	B*51:01:02	Taiwan Taroko	0.0	0.0000	55	24_0_N_121_0_E
427	B*51:01:02	Taiwan Thao	0.0	0.0000	30	24_0_N_121_0_E
428	B*51:01:02	Taiwan Tsou	0.0	0.0000	51	24_0_N_121_0_E
429	B*51:01:02	Thailand pop 3		0.0000	49	13_45_N_100_29_E
430	B*51:01:03	Brazil Barra Mansa Rio State Caucasian		0.0012	405	22_32_S_44_10_W
431	B*51:01:03	Bulgaria		0.0000	55	42_0_N_23_0_E
432	B*51:01:03	China North Han		0.0000	105	39_54_N_116_24_E
433	B*51:01:03	India West Bhil		0.0000	50	20_54_N_74_46_E
434	B*51:01:03	Morocco Nador Metalsa pop 2		0.0000	73	35_10_N_2_56_W
435	B*51:01:03	Morocco Settat Chaouya	0.0	0.0000	98	33_0_N_7_36_W
436	B*51:01:03	South Korea pop 3		0.0000	485	37_33_N_126_59_E
437	B*51:01:04	Georgia Tibilisi		0.0050	109	41_41_N_44_57_E
438	B*51:01:04	Saudi Arabia pop 6 (G)		0.0000	28,927	23_52_N_45_4_E
439	B*51:01:04	Bulgaria		0.0000	55	42_0_N_23_0_E
440	B*51:01:04	China North Han		0.0000	105	39_54_N_116_24_E
441	B*51:01:04	Morocco Nador Metalsa pop 2		0.0000	73	35_10_N_2_56_W
442	B*51:01:04	Morocco Settat Chaouya	0.0	0.0000	98	33_0_N_7_36_W
443	B*51:01:04	South Korea pop 3		0.0000	485	37_33_N_126_59_E
444	B*51:01:05	India Andhra Pradesh Telugu Speaking	1.1	0.0054	186	13_4_N_80_14_E
445	B*51:01:05	India Karnataka Kannada Speaking	0.6	0.0030	174	12_57_N_77_36_E
446	B*51:01:05	India Kerala Malayalam speaking	0.6	0.0030	356	13_1_N_80_15_E
447	B*51:01:05	Bulgaria		0.0000	55	42_0_N_23_0_E
448	B*51:01:05	China North Han		0.0000	105	39_54_N_116_24_E
449	B*51:01:05	Morocco Settat Chaouya	0.0	0.0000	98	33_0_N_7_36_W
450	B*51:01:06	China North Han		0.0000	105	39_54_N_116_24_E
451	B*51:01:06	Morocco Settat Chaouya	0.0	0.0000	98	33_0_N_7_36_W
452	B*51:01:07	Morocco Settat Chaouya	0.0	0.0000	98	33_0_N_7_36_W
453	B*51:01:08	India Karnataka Kannada Speaking	0.6	0.0030	174	12_57_N_77_36_E
454	B*51:01:08	Morocco Settat Chaouya	0.0	0.0000	98	33_0_N_7_36_W
455	B*51:01:09	Morocco Settat Chaouya	0.0	0.0000	98	33_0_N_7_36_W
456	B*51:01:10	Morocco Settat Chaouya	0.0	0.0000	98	33_0_N_7_36_W
457	B*51:01:11	Morocco Settat Chaouya	0.0	0.0000	98	33_0_N_7_36_W
458	B*51:01:12	Morocco Settat Chaouya	0.0	0.0000	98	33_0_N_7_36_W
459	B*51:01:13	Morocco Settat Chaouya	0.0	0.0000	98	33_0_N_7_36_W
460	B*51:01:14	Morocco Settat Chaouya	0.0	0.0000	98	33_0_N_7_36_W
461	B*51:01:15	Morocco Settat Chaouya	0.0	0.0000	98	33_0_N_7_36_W
462	B*51:01:16	Morocco Settat Chaouya	0.0	0.0000	98	33_0_N_7_36_W
463	B*51:01:19	Poland BMR	0.0	0.0000	23,595	52_0_N_19_22_E
464	B*51:01:33	USA NMDP Black South or Central American		0.0092	4,889	38_45_N_76_6_W
465	B*51:01:50	Hong Kong Chinese HKBMDR HLA 11 loci	0.0	0.0001	5,266	22_25_N_114_17_E

©2024 Allele Frequencies Website.

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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