| Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
| 301 |
A*01:01 |  | USA San Antonio Caucasian | | 0.1506 |  | 222 | See |  |  | |
| 302 |
A*01:01 |  | USA San Diego | 20.0 | 0.1060 |  | 496 | See |  |  |
|
| 303 |
A*01:01 |  | USA San Francisco Caucasian | | 0.1600 |  | 220 | See |  |  | |
| 304 |
A*01:01 |  | USA South Dakota Lakota Sioux | | 0.0120 |  | 302 | See |  |  | |
| 305 |
A*01:01 |  | USA South Texas Hispanic | | 0.0600 |  | 194 | See |  |  | |
| 306 |
A*01:01 |  | Venezuela Perja Mountain Bari | | 0.0110 |  | 55 | See |  |  | |
| 307 |
A*01:01 |  | Vietnam Hanoi Kinh pop 2 | | 0.0380 |  | 170 | See |  |  | |
| 308 |
A*01:01 |  | Zambia Lusaka | | 0.0350 |  | 44 | See |  |  | |
| 309 |
A*01:01 |  | Zimbabwe Harare Shona | | 0.0040 |  | 230 | See |  |  | |
| 310 |
A*01:01:01 |  | Brazil Barra Mansa Rio State Black | | 0.0822 |  | 73 | See |  |  |
|
| 311 |
A*01:01:01 |  | Brazil Barra Mansa Rio State Caucasian | | 0.1173 |  | 405 | See |  |  |
|
| 312 |
A*01:01:01 |  | Brazil Rio de Janeiro Black | | 0.0515 |  | 68 | See |  |  |
|
| 313 |
A*01:01:01 |  | Brazil Rio de Janeiro Caucasian | | 0.0988 |  | 521 | See |  |  |
|
| 314 |
A*01:01:01 |  | Brazil Rio de Janeiro Parda | | 0.0794 |  | 170 | See |  |  |
|
| 315 |
A*01:01:01 |  | Bulgaria | | 0.0730 |  | 55 | See |  |  | |
| 316 |
A*01:01:01 |  | Cape Verde Northwestern Islands | | 0.0480 |  | 62 | See |  |  | |
| 317 |
A*01:01:01 |  | Cape Verde Southeastern Islands | | 0.0480 |  | 62 | See |  |  | |
| 318 |
A*01:01:01 |  | China Jingpo Minority | 2.9 | 0.0145 |  | 105 | See |  |  |
|
| 319 |
A*01:01:01 |  | China North Han | | 0.0710 |  | 105 | See |  |  | |
| 320 |
A*01:01:01 |  | China Tibet Region Tibetan | | 0.0220 |  | 158 | See |  |  | |
| 321 |
A*01:01:01 |  | China Zhejiang Han | | 0.0153 |  | 1,734 | See |  |  |
|
| 322 |
A*01:01:01 |  | Costa Rica African -Caribbean (G) | 8.8 (*) | 0.0440 (*) |  | 102 | See |  |  |
|
| 323 |
A*01:01:01 |  | Costa Rica Amerindians (G) | 4.8 (*) | 0.0240 (*) |  | 125 | See |  |  |
|
| 324 |
A*01:01:01 |  | Costa Rica Central Valley Mestizo (G) | 15.3 (*) | 0.0790 (*) |  | 221 | See |  |  |
|
| 325 |
A*01:01:01 |  | Costa Rica Guanacaste Mestizo (G) | 9.2 (*) | 0.0460 (*) |  | 110 | See |  |  |
|
| 326 |
A*01:01:01 |  | England Blood Donors of Mixed Ethnicity | 37.4 | 0.2062 |  | 519 | See |  |  |
|
| 327 |
A*01:01:01 |  | Guinea Bissau | | 0.0460 |  | 65 | See |  |  | |
| 328 |
A*01:01:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 2.0 | 0.0103 |  | 5,266 | See |  |  |
|
| 329 |
A*01:01:01 |  | India Andhra Pradesh Telugu Speaking | 28.5 | 0.1479 |  | 186 | See |  |  |
|
| 330 |
A*01:01:01 |  | India Karnataka Kannada Speaking | 30.5 | 0.1580 |  | 174 | See |  |  |
|
| 331 |
A*01:01:01 |  | India Kerala Malayalam speaking | 16.3 | 0.0857 |  | 356 | See |  |  |
|
| 332 |
A*01:01:01 |  | Iran Baloch | | 0.0170 |  | 100 | See |  |  | |
| 333 |
A*01:01:01 |  | Japan Okinawa Ryukyuan | | 0.0040 |  | 143 | See |  |  | |
| 334 |
A*01:01:01 |  | Latvia | | 0.0985 |  | 266 | See |  |  |
|
| 335 |
A*01:01:01 |  | Madeira | | 0.0590 |  | 185 | See |  |  | |
| 336 |
A*01:01:01 |  | Mexico Guadalajara Mestizo pop 2 | | 0.0680 |  | 103 | See |  |  | |
| 337 |
A*01:01:01 |  | Mexico Hidalgo Mezquital Valley/ Otomi | 8.3 | 0.0556 |  | 72 | See |  |  | |
| 338 |
A*01:01:01 |  | Mongolia Buryat | | 0.1140 |  | 141 | See |  |  | |
| 339 |
A*01:01:01 |  | Morocco Atlantic Coast Chaouya | | 0.1280 |  | 98 | See |  |  | |
| 340 |
A*01:01:01 |  | Morocco Nador Metalsa pop 2 | | 0.1370 |  | 73 | See |  |  | |
| 341 |
A*01:01:01 |  | Morocco Settat Chaouya | 25.6 | 0.1280 |  | 98 | See |  |  | |
| 342 |
A*01:01:01 |  | Nicaragua Mestizo (G) | 5.8 (*) | 0.0290 (*) |  | 155 | See |  |  |
|
| 343 |
A*01:01:01 |  | Poland BMR | 25.6 | 0.1372 |  | 23,595 | See |  |  |
|
| 344 |
A*01:01:01 |  | Russia Belgorod region | 19.0 | 0.0948 |  | 153 | See |  |  |
|
| 345 |
A*01:01:01 |  | Russia Bashkortostan, Bashkirs | 0.8 | 0.0083 |  | 120 | See |  |  |
|
| 346 |
A*01:01:01 |  | Russia Bashkortostan, Tatars | 0.5 | 0.0026 |  | 192 | See |  |  |
|
| 347 |
A*01:01:01 |  | Russia Moscow Bashkir | 21.0 | 0.1145 |  | 442 | See |  |  | |
| 348 |
A*01:01:01 |  | Russia Moscow Buryat | 22.8 | 0.1242 |  | 149 | See |  |  | |
| 349 |
A*01:01:01 |  | Russia Moscow Kabardin | 18.8 | 0.0996 |  | 834 | See |  |  | |
| 350 |
A*01:01:01 |  | Russia Moscow Kazakh | 21.7 | 0.1120 |  | 299 | See |  |  | |
| 351 |
A*01:01:01 |  | Russia Moscow Mansi | 15.8 | 0.0789 |  | 38 | See |  |  | |
| 352 |
A*01:01:01 |  | Russia Moscow Megrel | 14.3 | 0.0789 |  | 230 | See |  |  | |
| 353 |
A*01:01:01 |  | Russia Moscow Russians | 19.4 | 0.1030 |  | 13,147 | See |  |  | |
| 354 |
A*01:01:01 |  | Russia Moscow Similar genetically to Azerbaijan | 14.1 | 0.0735 |  | 170 | See |  |  | |
| 355 |
A*01:01:01 |  | Russia Moscow Tatars | 19.9 | 0.1041 |  | 2,512 | See |  |  | |
| 356 |
A*01:01:01 |  | Russia Moscow Tuvian | 19.6 | 0.0982 |  | 112 | See |  |  | |
| 357 |
A*01:01:01 |  | Russia Moscow Uzbek | 22.2 | 0.1187 |  | 198 | See |  |  | |
| 358 |
A*01:01:01 |  | Russia Moscow Yakut | 30.6 | 0.1787 |  | 235 | See |  |  | |
| 359 |
A*01:01:01 |  | Russia Nizhny Novgorod, Russians | 1.0 | 0.0050 |  | 1,510 | See |  |  |
|
| 360 |
A*01:01:01 |  | Russian Federation Vologda Region | 20.2 | 0.1050 |  | 119 | See |  |  |
|
| 361 |
A*01:01:01 |  | Saudi Arabia pop 6 (G) | | 0.0712 (*) |  | 28,927 | See |  |  | |
| 362 |
A*01:01:01 |  | South Africa Caucasians | | 0.2000 |  | 102 | See |  |  | |
| 363 |
A*01:01:01 |  | South African Black | 5.6 | 0.0282 |  | 142 | See |  |  |
|
| 364 |
A*01:01:01 |  | South African Indian population | 24.0 | 0.1300 |  | 50 | See |  |  |
|
| 365 |
A*01:01:01 |  | South African Mixed ancestry | 24.0 | 0.1200 |  | 50 | See |  |  |
|
| 366 |
A*01:01:01 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 367 |
A*01:01:01 |  | Spain, Canary Islands, Gran canaria island | 20.0 | 0.1047 |  | 215 | See |  |  |
|
| 368 |
A*01:01:01 |  | USA African American pop 3 | | 0.0440 |  | 564 | See |  |  | |
| 369 |
A*01:01:01 |  | USA Arizona Gila River Pima | | 0.0009 |  | 3,000 | See |  |  | |
| 370 |
A*01:01:01 |  | USA Eastern European | | 0.1420 |  | 558 | See |  |  | |
| 371 |
A*01:01:01 |  | USA San Francisco Caucasian | | 0.1600 |  | 220 | See |  |  | |
| 372 |
A*01:01:01 |  | Vietnam Kinh | 3.0 | 0.0149 |  | 101 | See |  |  |
|
| 373 |
A*01:01:01:01 |  | Bolivia/Chile Aymara NA-DHS_13 (G) | 5.0 (*) | 0.0250 (*) |  | 20 | See |  |  |
|
| 374 |
A*01:01:01:01 |  | Canada Chipewyan NA-DHS_2 (G) | 8.0 (*) | 0.0400 (*) |  | 25 | See |  |  |
|
| 375 |
A*01:01:01:01 |  | Canada Cree NA-DHS_3 (G) | 11.1 (*) | 0.0556 (*) |  | 18 | See |  |  |
|
| 376 |
A*01:01:01:01 |  | Canada Ojibwa NA-DHS_4 (G) | 20.0 (*) | 0.1000 (*) |  | 16 | See |  |  |
|
| 377 |
A*01:01:01:01 |  | Chile Huilliche NA-DHS_14 (G) | 10.0 (*) | 0.0500 (*) |  | 20 | See |  |  |
|
| 378 |
A*01:01:01:01 |  | China Guangdong Province Meizhou Han | | 0.0150 |  | 100 | See |  |  | |
| 379 |
A*01:01:01:01 |  | Colombia Inga NA-DHS_11 (G) | 6.7 (*) | 0.0333 (*) |  | 16 | See |  |  |
|
| 380 |
A*01:01:01:01 |  | Colombia Wayuu NA-DHS_15 (G) | 6.7 (*) | 0.0333 (*) |  | 15 | See |  |  |
|
| 381 |
A*01:01:01:01 |  | Indonesia Java pop 2 | | 0.0280 |  | 36 | See |  |  | |
| 382 |
A*01:01:01:01 |  | Indonesia Sundanese and Javanese | | 0.0250 |  | 201 | See |  |  | |
| 383 |
A*01:01:01:01 |  | Libya Cyrenaica | | 0.1140 |  | 118 | See |  |  | |
| 384 |
A*01:01:01:01 |  | Mexico Mixe NA-DHS_6 (G) | 5.0 (*) | 0.0250 (*) |  | 20 | See |  |  |
|
| 385 |
A*01:01:01:01 |  | Pakistan Mixed Punjabi | 19.4 | 0.1015 |  | 389 | See |  |  |
|
| 386 |
A*01:01:01:01 |  | Russia Bashkortostan, Bashkirs | 16.7 | 0.0875 |  | 120 | See |  |  |
|
| 387 |
A*01:01:01:01 |  | Russia Bashkortostan, Tatars | 23.4 | 0.1276 |  | 192 | See |  |  |
|
| 388 |
A*01:01:01:01 |  | Russia Nizhny Novgorod, Russians | 22.6 | 0.1162 |  | 1,510 | See |  |  |
|
| 389 |
A*01:01:01:01 |  | Saudi Arabia pop 5 | 4.4 | 0.0222 |  | 158 | See |  |  | |
| 390 |
A*01:01:01:01 |  | USA Italy Ancestry | | 0.1520 |  | 273 | See |  |  | |
| 391 |
A*01:01:01:01 |  | USA Mexican American Mestizo | | 0.0820 |  | 553 | See |  |  |
|
| 392 |
A*01:01:01:01 |  | USA San Francisco Caucasian | | 0.1600 |  | 220 | See |  |  | |
| 393 |
A*01:01:01:01 |  | USA Spain Ancestry | | 0.0750 |  | 279 | See |  |  | |
| 394 |
A*01:01:01:02N |  | Poland BMR | 0.0085 | 0.0000420 |  | 23,595 | See |  |  |
|
| 395 |
A*01:01:01:04 |  | Pakistan Mixed Punjabi | 0.6 | 0.0026 |  | 389 | See |  |  |
|
| 396 |
A*01:01:02 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 397 |
A*01:01:02 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 398 |
A*01:01:02 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 399 |
A*01:01:02 |  | Saudi Arabia pop 5 | 1.3 | 0.0063 |  | 158 | See |  |  | |
| 400 |
A*01:01:02 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
: This field has been expanded to four decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
* % of individuals that have the allele: Percentage of individuals who have the allele in the population (Individuals / n).
were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
AF = Allele Frequency; PF = Phenotype Frequency, i.e. (%) of the individuals carrying the allele.
* Allele Frequencies marked with (*) were calculated from all alleles in the corresponding
¹ IMGT/HLA Database - For more details of the allele.
² Distribution - Graphical distribution of the allele.
³ Haplotype Association - Find HLA haplotypes with this allele.
ª Notes - See notes for ambiguous combinations of alleles.