Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
101 | B*18:01-C*18:01 | | Zambia Lusaka | 2.3000 | | 44 |
|
102 | A*02-B*18-DRB1*14-DQB1*02 | | Mexico Colima Rural | 2.2727 | | 43 |
|
103 | B*18-DRB1*16 | | Macedonia | 2.2727 | | 286 |
|
104 | A*02:01-B*18:01-C*07:01-DRB1*11:04 | | Germany DKMS - Greece minority | 2.2720 | | 1,894 |
|
105 | A*11-B*18-DRB1*03:01-DQB1*02 | | Mexico Queretaro, Queretaro city | 2.2222 | | 45 |
|
106 | A*24:02:01-B*18:01:01-DRB1*14:01:01 | | Portugal North | 2.2000 | | 46 |
|
107 | A*25-B*18-DRB1*15:01-DQB1*06:02 | | Spain Pas Valley | 2.2000 | | 88 |
|
108 | A*30-B*18-C*05:01 | | Spain Majorca and Minorca | 2.2000 | | 90 |
|
109 | A*24:02-B*18:01 | | Philippines Ivatan | 2.1000 | | 50 |
|
110 | A*25-B*18 | | Russia South Ural Russian | 2.1000 | | 207 |
|
111 | A*03-B*18 | | Macedonia | 2.0979 | | 286 |
|
112 | B*18-DRB1*03 | | Morocco pop 2 | 2.0800 | | 110 |
|
113 | A*02:01-B*18:01-C*07:01-DRB1*11:04 | | Germany DKMS - Croatia minority | 2.0710 | | 2,057 |
|
114 | A*02:01-B*18:01-C*07:01-DRB1*11:04 | | Germany DKMS - Bosnia and Herzegovina minority | 2.0120 | | 1,028 |
|
115 | A*01:01:01-B*18:01:01-DRB1*11:01:01 | | Portugal Center | 2.0000 | | 50 |
|
116 | A*02:01:01-B*18:01:01-DRB1*03:01:01 | | Portugal Center | 2.0000 | | 50 |
|
117 | A*02:01:01-B*18:05-DRB1*08:03:02 | | Portugal Center | 2.0000 | | 50 |
|
118 | A*02:01-B*18:01-DRB1*15:02 | | Malaysia Patani | 2.0000 | | 25 |
|
119 | A*02-B*18-DRB1*03:01-DQB1*02 | | Mexico Baja Californa, Mexicali | 2.0000 | | 100 |
|
120 | A*02-B*18-DRB1*08-DQB1*04 | | Mexico Baja California, Tijuana | 2.0000 | | 25 |
|
121 | A*03-B*18-C*07 | | Italy East Sicily | 2.0000 | | 50 |
|
122 | A*11:01:01-B*18:01:01-C*03:04:01 | | South African Mixed ancestry | 2.0000 | | 50 |
|
123 | A*11:01:01-B*18:01:01-DRB1*11:04:01 | | Portugal South | 2.0000 | | 49 |
|
124 | A*24-B*18-DRB1*15:02 | | Malaysia Sarawak Iban | 2.0000 | | 51 |
|
125 | A*24-B*18-DRB1*15:02 | | Malaysia Sarawak Bidayuh | 2.0000 | | 50 |
|
126 | A*25-B*18-DRB1*14-DQB1*05 | | Mexico Quintana Roo Rural | 2.0000 | | 50 |
|
127 | A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01 | | Tunisia | 2.0000 | | 100 |
|
128 | A*30-B*18-C*05:01 | | France Corsica Island | 2.0000 | | 100 |
|
129 | A*33:03-B*18:01-DRB1*10:01 | | Malaysia Patani | 2.0000 | | 25 |
|
130 | B*18:01:01-C*15:02:01 | | China Jingpo Minority | 1.9610 | | 105 |
|
131 | A*02:01-B*18:01-C*07:01-DRB1*11:04 | | Germany DKMS - Romania minority | 1.9420 | | 1,234 |
|
132 | A*24-B*18-DRB1*11 | | Jordan | 1.9300 | | 15,141 |
|
133 | A*25:01-B*18:01-C*12:03-DRB1*15:01 | | Russia Bering Island Aleuts | 1.9231 | | 104 |
|
134 | A*25:01-B*18:01-C*12:03 | | USA San Francisco Caucasian | 1.9000 | | 220 |
|
135 | A*25-B*18 | | Russia South Ural Tatar | 1.9000 | | 135 |
|
136 | A*25-B*18-C*12 | | USA San Francisco Caucasian | 1.9000 | | 220 |
|
137 | A*30:02-B*18:01 | | Kenya Luo | 1.9000 | | 265 |
|
138 | A*30:02-B*18:01:01 | | Mexico Guadalajara Mestizo pop 2 | 1.9000 | | 103 |
|
139 | A*30-B*18-DRB1*11 | | Mozambique | 1.9000 | | 202 |
|
140 | A*68-B*18-DRB1*16 | | United Arab Emirates | 1.9000 | | 298 |
|
141 | B*18:07-C*07:01:01 | | India West Bhil | 1.9000 | | 50 |
|
142 | A*11-B*18-C*07-DRB1*03 | | Myanmar Shan | 1.8520 | | 54 |
|
143 | A*24:02-B*18:01-DRB1*11:04 | | New Zealand Polynesians with Admixed History | 1.8520 | | 27 |
|
144 | A*02:01-B*18:01-DRB1*12:02 | | Malaysia Mandailing | 1.8519 | | 27 |
|
145 | A*02:03-B*18:01-DRB1*14:28 | | Malaysia Mandailing | 1.8519 | | 27 |
|
146 | A*11:01-B*18:01-DRB1*04:05 | | Malaysia Mandailing | 1.8519 | | 27 |
|
147 | A*24:02-B*18:01-DRB1*15:01 | | Malaysia Mandailing | 1.8519 | | 27 |
|
148 | A*24:02-B*18:01-DRB1*15:04 | | Malaysia Mandailing | 1.8519 | | 27 |
|
149 | A*24-B*18-DRB1*11-DQB1*03:01 | | Mexico Chihuahua, Ciudad Juarez | 1.8519 | | 106 |
|
150 | A*30:02:01-B*18:01:01-C*05:01:01-DRB1*03:01 | | Costa Rica Guanacaste Mestizo (G) | 1.8182 | | 110 |
|
151 | A*01:01-B*18:01 | | Romania | 1.8000 | | 348 |
|
152 | A*02:01:01-B*18:01:01 | | Mexico Guadalajara Mestizo pop 2 | 1.8000 | | 103 |
|
153 | A*02:01:01-B*18:01-DRB1*16:01:01 | | Bulgaria | 1.8000 | | 55 |
|
154 | A*03:01-B*18:01-DRB1*11:04 | | Azores Central Islands | 1.8000 | | 59 |
|
155 | A*24-B*18-DRB1*11:04-DQB1*03:01 | | Gaza Palestinians | 1.8000 | | 165 |
|
156 | A*25:01-B*18:01-C*12:03 | | Ireland South | 1.8000 | | 250 |
|
157 | A*25-B*18-DRB1*15:01-DQB1*06:02 | | Russia Chuvash | 1.8000 | | 82 |
|
158 | A*01:01-B*18:01-DRB1*11:04 | | Israel Iran Jews | 1.7900 | | 8,153 |
|
159 | A*03:01-B*18:02-DRB1*15:02 | | Malaysia Kelantan | 1.7857 | | 28 |
|
160 | A*11:01-B*18:01-DRB1*12:02 | | Malaysia Kelantan | 1.7857 | | 28 |
|
161 | A*24:02-B*18:01-DRB1*16:02 | | Malaysia Kelantan | 1.7857 | | 28 |
|
162 | A*24:07-B*18:02-DRB1*12:02 | | Malaysia Kelantan | 1.7857 | | 28 |
|
163 | A*25-B*18-DRB1*01:03-DQB1*03:01 | | Mexico Veracruz, Cordoba | 1.7857 | | 56 |
|
164 | B*18:01-C*12:03 | | Italy pop 5 | 1.7600 | | 975 |
|
165 | B*18:01-DRB1*11:04 | | Italy pop 5 | 1.7500 | | 975 |
|
166 | A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 1.7440 | | 4,335 |
|
167 | A*02:07-B*18:01-DRB1*15:02 | | Malaysia Champa | 1.7241 | | 29 |
|
168 | A*11:01-B*18:01-DRB1*15:02 | | Malaysia Champa | 1.7241 | | 29 |
|
169 | A*24:02-B*18:01-DRB1*09:01 | | Malaysia Champa | 1.7241 | | 29 |
|
170 | A*24:02-B*18:01-DRB1*12:02 | | Malaysia Champa | 1.7241 | | 29 |
|
171 | A*24:02-B*18:01-DRB1*15:02 | | Malaysia Champa | 1.7241 | | 29 |
|
172 | A*24:02-B*18:02-DRB1*07:01 | | Malaysia Champa | 1.7241 | | 29 |
|
173 | B*18:01-C*05:01 | | USA Hispanic pop 2 | 1.7050 | | 1,999 |
|
174 | A*02:01-B*18:01 | | Cameroon Yaounde | 1.7000 | | 92 |
|
175 | A*24-B*18 | | Greece North | 1.7000 | | 500 |
|
176 | A*24-B*18-DRB1*11 | | Greece North | 1.7000 | | 500 |
|
177 | A*30:02-B*18:01-C*07:04 | | Kenya Luo | 1.7000 | | 265 |
|
178 | A*30-B*18-C*05:01 | | Spain Catalonia Girona | 1.7000 | | 88 |
|
179 | A*03-B*18-C*12-DRB1*16-DQB1*05 | | Albanian Kosovo | 1.6700 | | 120 |
|
180 | A*02-B*18-DRB1*03:01-DQB1*02 | | Mexico Jalisco, Tlajomulco | 1.6667 | | 30 |
|
181 | A*24-B*18-DRB1*11-DQB1*03:01 | | Mexico Morelos Rural | 1.6667 | | 30 |
|
182 | A*30-B*18-DRB1*03:01-DQB1*02 | | Mexico Veracruz, Orizaba | 1.6667 | | 60 |
|
183 | A*30-B*18-DRB1*04-DQB1*03:02 | | Mexico Jalisco, Tlajomulco | 1.6667 | | 30 |
|
184 | A*31:08-B*18:01-DRB1*11:04 | | Israel Druze | 1.6400 | | 5,914 |
|
185 | A*11:01:01-B*18:01:01-C*15:02:01 | | China Jingpo Minority | 1.6250 | | 105 |
|
186 | A*68:01-B*18:01-C*02:02-DRB1*11:04-DQA1*05:05-DQB1*03:01 | | Kosovo | 1.6130 | | 124 |
|
187 | A*02:01-B*18:01-C*07:01-DRB1*11:04-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02 | | Mexico Chiapas Lacandon Mayans | 1.6055 | | 218 |
|
188 | A*02:01:01-B*18:01:01-DRB1*11:04:01 | | Madeira | 1.6000 | | 185 |
|
189 | A*02:05-B*18:01 | | Kenya Nandi | 1.6000 | | 240 |
|
190 | A*02-B*18-C*07:01-DRB1*07-DQB1*02 | | Russia North Ossetian | 1.6000 | | 127 |
|
191 | A*03:01-B*18:01 | | Romania | 1.6000 | | 348 |
|
192 | A*03:01-B*18:01 | | Brazil Belo Horizonte Caucasian | 1.6000 | | 95 |
|
193 | A*30:02-B*18:01:01-DRB1*03:02:01 | | Cape Verde Northwestern Islands | 1.6000 | | 62 |
|
194 | B*18:01-C*02:02 | | USA African American | 1.6000 | | 252 |
|
195 | A*02-B*18 | | Morocco pop 2 | 1.5900 | | 110 |
|
196 | A*30:02-B*18:01-DRB1*03:01-DQB1*02:01 | | Tunisia Gabes | 1.5700 | | 95 |
|
197 | A*30:02-B*18:01-C*05:01-DRB1*03:01 | | Germany DKMS - Spain minority | 1.5650 | | 1,107 |
|
198 | A*24-B*18-C*07-DRB1*16 | | Macedonia MBMDR - Albanian | 1.5625 | | 128 |
|
199 | A*25-B*18-C*12-DRB1*15 | | Macedonia MBMDR - Albanian | 1.5625 | | 128 |
|
200 | A*11-B*18-C*07-DRB1*12 | | Myanmar Mon | 1.5620 | | 64 |
|
* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).