Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
201 | B*44:03-C*07:01 | | Zambia Lusaka | 2.3000 | | 44 |
|
202 | A*02-B*44-DRB1*01-DQB1*05 | | Mexico Guanajuato, Guanajuato city | 2.2727 | | 22 |
|
203 | A*26-B*44-DRB1*07-DQB1*02 | | Mexico Guanajuato, Guanajuato city | 2.2727 | | 22 |
|
204 | A*29-B*44-DRB1*07-DQB1*02 | | Mexico Guanajuato, Guanajuato city | 2.2727 | | 22 |
|
205 | A*31-B*44-DRB1*01-DQB1*05 | | Mexico Colima Rural | 2.2727 | | 43 |
|
206 | A*33-B*44-DRB1*01:03-DQB1*05 | | Mexico Guanajuato, Guanajuato city | 2.2727 | | 22 |
|
207 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01 | | Costa Rica Amerindians (G) | 2.2681 | | 125 |
|
208 | A*29:02:01-B*44:03:01-C*16:01:01 | | England Blood Donors of Mixed Ethnicity | 2.2144 | | 519 |
|
209 | A*02:01-B*44:02 | | Uganda Kampala | 2.2000 | | 161 |
|
210 | A*02-B*44 | | Mongolia Tarialan Khoton | 2.2000 | | 85 |
|
211 | A*02-B*44-DRB1*04 | | Portugal Evora | 2.2000 | | 737 |
|
212 | A*02-B*44-DRB1*04:03-DQB1*03:02 | | Spain North Cabuerniga | 2.2000 | | 95 |
|
213 | A*02-B*44-DRB1*07:01-DQB1*02 | | Spain North Cabuerniga | 2.2000 | | 95 |
|
214 | A*02-B*44-DRB1*15:01-DQB1*06:02 | | Spain Pas Valley | 2.2000 | | 88 |
|
215 | A*29:02:01-B*44:03-C*16:01:01-DRB1*07:01:01-DQB1*02:01 | | England North West | 2.2000 | | 298 |
|
216 | A*29:02-B*44:03:01-DRB1*07:01:01 | | Portugal North | 2.2000 | | 46 |
|
217 | A*29-B*44-DRB1*07 | | Portugal Coimbra | 2.2000 | | 5,057 |
|
218 | A*29-B*44-DRB1*07 | | Portugal Santarem | 2.2000 | | 3,865 |
|
219 | A*29-B*44-DRB1*07 | | Portugal Setubal | 2.2000 | | 5,268 |
|
220 | A*29-B*44-DRB1*07 | | Portugal Leiria | 2.2000 | | 1,847 |
|
221 | A*29-B*44-DRB1*07 | | Portugal Portalegre | 2.2000 | | 1,254 |
|
222 | A*29-B*44-DRB1*07:01-DQB1*02 | | Spain North Cabuerniga | 2.2000 | | 95 |
|
223 | A*68-B*44-DRB1*11 | | Germany pop 7 | 2.2000 | | 13,386 |
|
224 | B*44:02-C*05:01 | | Uganda Kampala | 2.2000 | | 161 |
|
225 | A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02 | | India North UCBB | 2.1836 | | 5,849 |
|
226 | A*29-B*44-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Brazil Paraná Caucasian | 2.1611 | | 641 |
|
227 | A*33:03-B*44:03-DRB1*13:02 | | China Jiangsu Han | 2.1400 | | 3,238 |
|
228 | A*29-B*44-DRB1*07-DQB1*03:02 | | Mexico Campeche Rural | 2.1277 | | 47 |
|
229 | A*29-B*44-DRB1*07:01 | | Chile Santiago | 2.1165 | | 920 |
|
230 | A*29-B*44-DRB1*07-DQB1*02 | | Mexico Chihuahua Chihuahua City | 2.1008 | | 119 |
|
231 | A*02:01:01-B*44:02-C*05:01 | | Morocco Settat Chaouya | 2.1000 | | 98 |
|
232 | A*02:01:01-B*44:02-C*05:01-DRB1*04:02-DQA1*03:01-DQB1*03:02 | | Morocco Atlantic Coast Chaouya | 2.1000 | | 98 |
|
233 | A*02-B*44-DRB1*04 | | Portugal South pop 2 | 2.1000 | | 1,021 |
|
234 | A*02-B*44-DRB1*04:01 | | USA NMDP Caucasian | 2.1000 | | 2,361,208 |
|
235 | A*02-B*44-DRB1*13 | | Portugal Bragança | 2.1000 | | 301 |
|
236 | A*29:02-B*44:03:01-C*16:01-DRB1*15:01:01-DQA1*01:02-DQB1*06:02 | | Morocco Atlantic Coast Chaouya | 2.1000 | | 98 |
|
237 | A*29:02-B*44:03-DRB1*07:01 | | Ireland Northern | 2.1000 | | 1,000 |
|
238 | A*29-B*44-DRB1*07 | | Portugal Braga | 2.1000 | | 1,971 |
|
239 | A*29-B*44-DRB1*07 | | Portugal Guarda | 2.1000 | | 797 |
|
240 | A*33:03-B*44:03-C*14:03 | | USA Asian | 2.1000 | | 358 |
|
241 | A*29-B*44-DRB1*07-DQB1*02 | | Mexico Chihuahua Rural | 2.0921 | | 236 |
|
242 | A*30:02-B*44:03-C*07:01-DRB1*08:04 | | Brazil Vale do Ribeira Quilombos | 2.0833 | | 144 |
|
243 | A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01 | | China Jingpo Minority | 2.0830 | | 105 |
|
244 | A*33:03:01-B*44:03:02-DRB1*07:01:01 | | China Jingpo Minority | 2.0830 | | 105 |
|
245 | B*44:03:02-C*07:01:01-DRB1*07:01:01 | | China Jingpo Minority | 2.0830 | | 105 |
|
246 | B*44:03:02-DRB1*07:01:01 | | China Jingpo Minority | 2.0830 | | 105 |
|
247 | B*44-DRB1*04 | | Morocco pop 2 | 2.0800 | | 110 |
|
248 | A*29-B*44-DRB1*07-DQB1*02 | | Mexico Coahuila Rural | 2.0642 | | 216 |
|
249 | A*31-B*44-DRB1*07-DQB1*02 | | Mexico Coahuila, Saltillo | 2.0548 | | 72 |
|
250 | A*29:02-B*44:03-C*16:01-DRB1*07:01 | | Germany DKMS - France minority | 2.0420 | | 1,406 |
|
251 | A*02-B*44-C*05-DRB1*04-DQB1*03-DPB1*04 | | Norway ethnic Norwegians | 2.0100 | | 4,510 |
|
252 | A*01:01:01-B*44:03:01-DRB1*07:01:01 | | Portugal South | 2.0000 | | 49 |
|
253 | A*02:01:01-B*44:02:01-DRB1*04:02 | | Portugal South | 2.0000 | | 49 |
|
254 | A*02:01:01-B*44:03:01-DRB1*07:01:01 | | Portugal Center | 2.0000 | | 50 |
|
255 | A*02:01:01-B*44:05:01-C*02:02:02 | | South African Mixed ancestry | 2.0000 | | 50 |
|
256 | A*02:03-B*44:03-DRB1*07:01 | | Malaysia Patani | 2.0000 | | 25 |
|
257 | A*02-B*44-DRB1*04 | | Azores | 2.0000 | | 1,050 |
|
258 | A*02-B*44-DRB1*04 | | Portugal Faro | 2.0000 | | 1,242 |
|
259 | A*02-B*44-DRB1*07 | | Portugal Beja | 2.0000 | | 699 |
|
260 | A*02-B*44-DRB1*07 | | Madeira pop 3 | 2.0000 | | 538 |
|
261 | A*03-B*44-DRB1*13-DQB1*06 | | Mexico Baja California, Tijuana | 2.0000 | | 25 |
|
262 | A*11:01:01-B*44:02:01-DRB1*13:01:01 | | Portugal South | 2.0000 | | 49 |
|
263 | A*11-B*44-C*16 | | Italy East Sicily | 2.0000 | | 50 |
|
264 | A*23:01-B*44:03:01-DRB1*13:03 | | Portugal South | 2.0000 | | 49 |
|
265 | A*23-B*44-DRB1*01-DQB1*05 | | Mexico Baja California, Tijuana | 2.0000 | | 25 |
|
266 | A*23-B*44-DRB1*16-DQB1*05 | | Mexico Baja California, Tijuana | 2.0000 | | 25 |
|
267 | A*29:01-B*44:03:01 | | Tunisia | 2.0000 | | 100 |
|
268 | A*29:02-B*44:03:01-DRB1*07:01:01 | | Portugal South | 2.0000 | | 49 |
|
269 | A*29-B*44-DRB1*07 | | Portugal Faro | 2.0000 | | 1,242 |
|
270 | A*29-B*44-DRB1*07 | | Portugal Lisbon | 2.0000 | | 17,420 |
|
271 | A*29-B*44-DRB1*07 | | Portugal Evora | 2.0000 | | 737 |
|
272 | A*29-B*44-DRB1*07-DQB1*02 | | Mexico Baja California, La Paz | 2.0000 | | 75 |
|
273 | A*33-B*44-DRB1*07 | | Pakistan Mixed Pathan | 2.0000 | | 100 |
|
274 | B*44:02-C*05:01 | | Tunisia | 2.0000 | | 100 |
|
275 | B*44:03-C*04:01 | | USA African American | 2.0000 | | 252 |
|
276 | A*29-B*44-DRB1*07-DQB1*02 | | Mexico Durango Rural | 1.9878 | | 326 |
|
277 | A*02:01-B*44:02 | | USA Hispanic pop 2 | 1.9440 | | 1,999 |
|
278 | B*44-C*04 | | Macedonia | 1.9231 | | 286 |
|
279 | B*44-DRB1*07 | | Macedonia | 1.9231 | | 286 |
|
280 | A*02:01-B*44:02-DRB1*04:01 | | New Zealand Maori with Admixed History | 1.9048 | | 105 |
|
281 | A*29-B*44-DRB1*07-DQB1*02 | | Mexico Zacatecas, Fresnillo | 1.9048 | | 103 |
|
282 | A*02:01-B*44:02-C*05:01 | | Uganda Kampala | 1.9000 | | 161 |
|
283 | A*02-B*44-DRB1*04 | | Portugal Coimbra | 1.9000 | | 5,057 |
|
284 | A*02-B*44-DRB1*04 | | Russia South Ural Russian | 1.9000 | | 207 |
|
285 | A*02-B*44-DRB1*07 | | Portugal Faro | 1.9000 | | 1,242 |
|
286 | A*02-B*44-DRB1*07 | | Brazil Parana Afro Brazilian | 1.9000 | | 77 |
|
287 | A*02-B*44-DRB1*13-DQA1*01:03-DQB1*06:03 | | Georgia Svaneti Region Svan | 1.9000 | | 80 |
|
288 | A*03:01-B*44:02-DRB1*04:01 | | Sweden Southern Sami | 1.9000 | | 130 |
|
289 | A*29:02-B*44:03:01-DRB1*07:01:01 | | Madeira | 1.9000 | | 185 |
|
290 | A*29-B*44-DRB1*07 | | Brazil Rio Grande do Sul Mixed | 1.9000 | | 324 |
|
291 | A*29-B*44-DRB1*07 | | Portugal Porto | 1.9000 | | 7,937 |
|
292 | A*29-B*44-DRB1*11 | | Mozambique | 1.9000 | | 202 |
|
293 | A*34-B*44-DRB1*13 | | Mozambique | 1.9000 | | 202 |
|
294 | A*02:11-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02 | | India North UCBB | 1.8986 | | 5,849 |
|
295 | A*33-B*44-DRB1*07 | | India sub-Himalayan West Bengal Kami | 1.8900 | | 158 |
|
296 | A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP Vietnamese | 1.8801 | | 43,540 |
|
297 | A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01 | | Colombia Bogotá Cord Blood | 1.8769 | | 1,463 |
|
298 | A*29-B*44-DRB1*07-DQB1*02 | | Mexico Coahuila, Torreon | 1.8750 | | 396 |
|
299 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 1.8600 | | 215 |
|
300 | A*02:11-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02 | | India Northeast UCBB | 1.8581 | | 296 |
|
* 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).