Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
201 | A*02-B*15-C*03 | | USA San Francisco Caucasian | 3.2000 | | 220 |
|
202 | A*24:02-B*15:04-DRB1*14:02-DQB1*03:01 | | Peru Titikaka Lake Uro | 3.2000 | | 105 |
|
203 | A*24:02-B*15:04-DRB1*14:02-DQB1*03:01 | | Peru Titikaka Lake Uros | 3.2000 | | 105 |
|
204 | A*26:01-B*15:02-DRB1*14:01 | | China Yunnan Province Jinuo | 3.2000 | | 109 |
|
205 | A*34-B*15-C*04 | | Malaysia Perak and Johor Banjar Bugis Jawa | 3.2000 | | 94 |
|
206 | A*34-B*15-C*04-DRB1*15-DQB1*06 | | Malaysia Perak and Johor Banjar Bugis Jawa | 3.2000 | | 94 |
|
207 | A*69:01-B*15:01:01-DRB1*13:02:01 | | Cape Verde Northwestern Islands | 3.2000 | | 62 |
|
208 | B*15:32:01-DRB1*12:02:01 | | China Jingpo Minority | 3.1720 | | 105 |
|
209 | A*11:01-B*15:02-C*08:01-DRB1*12:02 | | Hong Kong Chinese BMDR | 3.1403 | | 7,595 |
|
210 | A*24-B*15-DRB1*04:11-DQB1*03:02 | | Colombia Wayu from Guajira Peninsula | 3.1300 | | 48 |
|
211 | A*02-B*15-C*08-DRB1*12 | | Myanmar Rakhine | 3.1250 | | 48 |
|
212 | A*11-B*15-C*08-DRB1*12 | | Myanmar Mon | 3.1250 | | 64 |
|
213 | A*11-B*15-C*12-DRB1*12 | | Myanmar Rakhine | 3.1250 | | 48 |
|
214 | A*11-B*15-C*12-DRB1*14 | | Myanmar Rakhine | 3.1250 | | 48 |
|
215 | A*23:01-B*15:03-C*02:10-DRB1*12:01 | | Brazil Vale do Ribeira Quilombos | 3.1250 | | 144 |
|
216 | A*24-B*15-C*08-DRB1*12 | | Myanmar Mon | 3.1250 | | 64 |
|
217 | A*02-B*15:01-DRB1*04-DQB1*03:02 | | Mexico Mexico City North | 3.1208 | | 751 |
|
218 | A*02:01-B*15:01-DRB1*13:01 | | Sweden Southern Sami | 3.1000 | | 130 |
|
219 | A*02:01-B*15:03-DRB1*03:01 | | Sao Tome Island Angolar | 3.1000 | | 32 |
|
220 | A*02-B*15-DRB1*15 | | Bangladesh Dhaka Bangalee | 3.1000 | | 141 |
|
221 | A*11:01-B*15:02 | | USA Asian | 3.1000 | | 358 |
|
222 | A*11:01-B*15:02 | | Taiwan Minnan pop 1 | 3.1000 | | 102 |
|
223 | A*11-B*15-DRB1*12 | | Bangladesh Dhaka Bangalee | 3.1000 | | 141 |
|
224 | A*23:01-B*15:03 | | USA African American | 3.1000 | | 252 |
|
225 | A*24-B*15-DRB1*15 | | Bangladesh Dhaka Bangalee | 3.1000 | | 141 |
|
226 | A*33-B*15-DRB1*15 | | Bangladesh Dhaka Bangalee | 3.1000 | | 141 |
|
227 | A*24-B*15-C*04-DRB1*04 | | Myanmar Kayin | 3.0410 | | 44 |
|
228 | A*11:02-B*15:25 | | Philippines Ivatan | 3.0000 | | 50 |
|
229 | A*24:02-B*15:25-C*08:01-DRB1*12:02 | | China Yunnan Hani | 3.0000 | | 150 |
|
230 | A*30-B*15 | | Venezuela Caracas Mestizo | 3.0000 | | 50 |
|
231 | A*34-B*15-DRB1*12:02 | | Malaysia Sarawak Bidayuh | 3.0000 | | 50 |
|
232 | B*15:25-C*12:02 | | Philippines Ivatan | 3.0000 | | 50 |
|
233 | B*15:25-DRB1*16:02:01 | | Philippines Ivatan | 3.0000 | | 50 |
|
234 | B*15-C*12 | | Venezuela Caracas Mestizo | 3.0000 | | 50 |
|
235 | A*68:02-B*15:17-DRB1*13:02 | | Israel Georgia Jews | 2.9800 | | 4,471 |
|
236 | A*01-B*15:01-DRB1*09-DQB1*03:03 | | Mexico Campeche, Campeche city | 2.9412 | | 34 |
|
237 | A*68-B*15:15-DRB1*08-DQB1*04 | | Mexico Mexico City West | 2.9412 | | 33 |
|
238 | A*11:01-B*15:25 | | Taiwan Rukai | 2.9000 | | 50 |
|
239 | A*11-B*15-C*04 | | South Korea pop 1 | 2.9000 | | 324 |
|
240 | A*11-B*15-DRB1*12:02 | | Malaysia Sarawak Iban | 2.9000 | | 51 |
|
241 | A*23:01-B*15:03-C*02:02 | | USA African American | 2.9000 | | 252 |
|
242 | A*24:02-B*15:01:01 | | Taiwan Siraya | 2.9000 | | 51 |
|
243 | A*24:02-B*15:01-DRB1*16:02-DQB1*03:01 | | USA South Dakota Lakota Sioux | 2.9000 | | 302 |
|
244 | A*24-B*15-DRB1*12:01 | | China Yunnan Province Han pop 2 | 2.9000 | | 129 |
|
245 | A*30-B*15-C*04-DRB1*11:01-DQB1*03:01 | | Rwanda | 2.9000 | | 280 |
|
246 | A*34-B*15-DRB1*04:05 | | Malaysia Sarawak Iban | 2.9000 | | 51 |
|
247 | B*15:01:01-C*08:01 | | Taiwan Siraya | 2.9000 | | 51 |
|
248 | B*15:01:01-DRB1*04:03 | | Taiwan Siraya | 2.9000 | | 51 |
|
249 | B*15:01:01-DRB1*08:03:02 | | Taiwan Paiwan | 2.9000 | | 51 |
|
250 | B*15:25-DRB1*16:02:01 | | Taiwan Siraya | 2.9000 | | 51 |
|
251 | A*02-B*15:01-DRB1*08-DQB1*04 | | Mexico Mexico City South | 2.8846 | | 52 |
|
252 | A*02-B*15:01-DRB1*16-DQB1*03:01 | | Mexico Mexico City South | 2.8846 | | 52 |
|
253 | A*68:01-B*15:01-C*03:03-DRB1*14:02-DQB1*03:02 | | Colombia North Wiwa El Encanto | 2.8846 | | 52 |
|
254 | A*33-B*15-DRB1*14 | | India sub-Himalayan West Bengal Kami | 2.8400 | | 158 |
|
255 | A*26-B*15:16-DRB1*13-DQB1*03:01 | | Mexico Chiapas, Tuxtla Gutierrez | 2.8302 | | 52 |
|
256 | A*11-B*15-DRB1*07 | | Bangladesh Dhaka Bangalee | 2.8000 | | 141 |
|
257 | A*74:01-B*15:03 | | Uganda Kampala | 2.8000 | | 161 |
|
258 | B*15:25-C*04:03 | | Taiwan Atayal | 2.8000 | | 106 |
|
259 | B*15:25-DRB1*16:02:01 | | Taiwan Atayal | 2.8000 | | 106 |
|
260 | A*11:01-B*15:02-DRB1*12:02 | | Hong Kong Chinese cord blood registry | 2.7891 | | 3,892 |
|
261 | A*11-B*15-C*08-DRB1*15 | | Myanmar Shan | 2.7780 | | 54 |
|
262 | B*15-C*03 | | Mexico Tapachula, Chiapas Mestizo Population | 2.7778 | | 72 |
|
263 | B*15:15-C*01:02 | | Mexico Mexico City Mestizo pop 2 | 2.7700 | | 234 |
|
264 | A*11-B*15-C*04-DRB1*04 | | Myanmar Kayin | 2.7340 | | 44 |
|
265 | A*24-B*15-DRB1*15 | | India sub-Himalayan West Bengal Kami | 2.7300 | | 158 |
|
266 | A*02-B*15-C*04-DRB1*15 | | Myanmar Kayah | 2.7270 | | 55 |
|
267 | A*24-B*15-C*08-DRB1*12 | | Myanmar Chin | 2.7270 | | 55 |
|
268 | A*11:01-B*15:01:01 | | Taiwan Hakka | 2.7000 | | 55 |
|
269 | A*11:01-B*15:01-C*04:01 | | Japan pop 5 | 2.7000 | | 117 |
|
270 | A*11:01-B*15:02 | | Taiwan Pazeh | 2.7000 | | 55 |
|
271 | A*11:01-B*15:02 | | Singapore Chinese | 2.7000 | | 149 |
|
272 | A*11:01-B*15:02-C*08:01 | | China Guizhou Province Bouyei | 2.7000 | | 109 |
|
273 | A*11:01-B*15:32-C*12:03-DRB1*15:04 | | China Yunnan Hani | 2.7000 | | 150 |
|
274 | A*11-B*15-DRB1*04:05 | | China Yunnan Province Naxi pop 2 | 2.7000 | | 96 |
|
275 | A*11-B*15-DRB1*12:02 | | China Yunnan Province Naxi pop 2 | 2.7000 | | 96 |
|
276 | A*34-B*15-DRB1*04 | | Philippines National Capital Region | 2.7000 | | 51 |
|
277 | B*15:01:01-C*04:01 | | Taiwan Hakka | 2.7000 | | 55 |
|
278 | B*15:01-DRB1*04:06-DQB1*03:02 | | South Korea pop 3 | 2.7000 | | 485 |
|
279 | B*15:02-C*08:01 | | Taiwan Hakka | 2.7000 | | 55 |
|
280 | A*02-B*15-C*03:03-DRB1*04:01-DQB1*03 | | Russia Transbaikal Territory Buryats | 2.6670 | | 150 |
|
281 | A*01:01-B*15:17-DRB1*13:02 | | Israel Iraq Jews | 2.6600 | | 13,270 |
|
282 | A*02-B*15-C*03-DRB1*04-DQB1*03-DPB1*04 | | Norway ethnic Norwegians | 2.6500 | | 4,510 |
|
283 | A*24:02-B*15:02-DRB1*15:02 | | Malaysia Pahang Semai | 2.6300 | | 38 |
|
284 | B*15:32:01-C*12:03:01-DRB1*12:02:01 | | China Jingpo Minority | 2.6040 | | 105 |
|
285 | A*11:01:01-B*15:25-C*04:03-DRB1*15:01:01-DQB1*05:02:01-DPB1*02:01:02 | | China Yunnan Province Nu | 2.6000 | | 107 |
|
286 | A*11:01-B*15:07-C*12:02-DRB1*12:02 | | China Yunnan Bulang | 2.6000 | | 116 |
|
287 | A*11:01-B*15:25-C*04:03-DRB1*12:02 | | China Yunnan Bulang | 2.6000 | | 116 |
|
288 | A*23-B*15-DRB1*13 | | Brazil Parana Afro Brazilian | 2.6000 | | 77 |
|
289 | A*24-B*15-DRB1*04:05 | | Malaysia Sabah Kadazan | 2.6000 | | 57 |
|
290 | B*15:02-DRB1*12:02:01 | | Taiwan Pazeh | 2.6000 | | 55 |
|
291 | B*15:25-C*04:03 | | Taiwan Ami | 2.6000 | | 98 |
|
292 | B*15:25-DRB1*16:02:01 | | Taiwan Ami | 2.6000 | | 98 |
|
293 | A*02-B*15:01-DRB1*08-DQB1*04 | | Mexico Jalisco, Tlaquepaque | 2.5641 | | 39 |
|
294 | A*68-B*15:10-DRB1*03:01-DQB1*02 | | Mexico Jalisco, Tlaquepaque | 2.5641 | | 39 |
|
295 | A*02:02-B*15:03 | | Kenya Nandi | 2.5000 | | 240 |
|
296 | A*02:02-B*15:03-C*02:02 | | Kenya Nandi | 2.5000 | | 240 |
|
297 | A*02-B*15-C*04 | | France Corsica Island | 2.5000 | | 100 |
|
298 | A*11:01:01-B*15:02-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01 | | China Yunnan Province Lisu | 2.5000 | | 111 |
|
299 | A*11:01:01-B*15:02-C*08:01:01-DRB1*12:02:01-DQB1*05:02:01-DPB1*04:01:01 | | China Yunnan Province Lisu | 2.5000 | | 111 |
|
300 | A*11-B*15-DRB1*04:06 | | South Korea pop 1 | 2.5000 | | 324 |
|
* 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).