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| Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
| 401 |
A*01:02 |  | Switzerland Graubunden | | 0 |  | 759 | See |  |  | |
| 402 |
A*01:02 |  | Switzerland Lausanne | | 0 |  | 993 | See |  |  | |
| 403 |
A*01:02 |  | Switzerland Lugano | | 0.0093 |  | 1,169 | See |  |  | |
| 404 |
A*01:02 |  | Switzerland Luzern | | 0 |  | 1,553 | See |  |  | |
| 405 |
A*01:02 |  | Switzerland Sion | | 0 |  | 832 | See |  |  | |
| 406 |
A*01:02 |  | Switzerland St Gallen | | 0 |  | 2,113 | See |  |  | |
| 407 |
A*01:02 |  | Switzerland Zurich | | 0 |  | 4,875 | See |  |  | |
| 408 |
A*01:02 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
| 409 |
A*01:02 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
| 410 |
A*01:02 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
| 411 |
A*01:02 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
| 412 |
A*01:02 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
| 413 |
A*01:02 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
| 414 |
A*01:02 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
| 415 |
A*01:02 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
| 416 |
A*01:02 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
| 417 |
A*01:02 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
| 418 |
A*01:02 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
| 419 |
A*01:02 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
| 420 |
A*01:02 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
| 421 |
A*01:02 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
| 422 |
A*01:02 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
| 423 |
A*01:02 |  | Tanzania Maasai | 1.2 | 0.0060 |  | 336 | See |  |  |
|
| 424 |
A*01:02 |  | Tunisia | 2.0 | 0.0100 |  | 100 | See |  |  | |
| 425 |
A*01:02 |  | Uganda Kampala | | 0.0030 |  | 161 | See |  |  | |
| 426 |
A*01:02 |  | Uganda Kampala pop 2 | | 0.0060 |  | 175 | See |  |  | |
| 427 |
A*01:02 |  | USA African American | | 0.0060 |  | 252 | See |  |  | |
| 428 |
A*01:02 |  | USA African American Bethesda | 0.0 | 0 |  | 187 | See |  |  | |
| 429 |
A*01:02 |  | USA African American pop 3 | | 0.0070 |  | 564 | See |  |  | |
| 430 |
A*01:02 |  | USA African American pop 4 | | 0.0065 |  | 2,411 | See |  |  | |
| 431 |
A*01:02 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 432 |
A*01:02 |  | USA Asian | | 0 |  | 358 | See |  |  | |
| 433 |
A*01:02 |  | USA Asian pop 2 | | 0 |  | 1,772 | See |  |  | |
| 434 |
A*01:02 |  | USA Caucasian Bethesda | 0.0 | 0 |  | 307 | See |  |  | |
| 435 |
A*01:02 |  | USA Caucasian pop 2 | | 0 |  | 265 | See |  |  | |
| 436 |
A*01:02 |  | USA Caucasian pop 4 | | 0.0009 |  | 1,070 | See |  |  | |
| 437 |
A*01:02 |  | USA Hispanic | | 0.0060 |  | 234 | See |  |  | |
| 438 |
A*01:02 |  | USA Hispanic pop 2 | | 0.0030 |  | 1,999 | See |  |  | |
| 439 |
A*01:02 |  | USA NMDP African | | 0.0031 |  | 28,557 | See |  |  | |
| 440 |
A*01:02 |  | USA NMDP African American pop 2 | | 0.0042 |  | 416,581 | See |  |  | |
| 441 |
A*01:02 |  | USA NMDP Caribean Black | | 0.0033 |  | 33,328 | See |  |  | |
| 442 |
A*01:02 |  | USA NMDP Caribean Hispanic | | 0.0021 |  | 115,374 | See |  |  | |
| 443 |
A*01:02 |  | USA NMDP Caribean Indian | | 0.0020 |  | 14,339 | See |  |  | |
| 444 |
A*01:02 |  | USA NMDP European Caucasian | | 0.0001 |  | 1,242,890 | See |  |  | |
| 445 |
A*01:02 |  | USA NMDP Filipino | | 0.0000300 |  | 50,614 | See |  |  | |
| 446 |
A*01:02 |  | USA NMDP Hawaiian or other Pacific Islander | | 0.0001 |  | 11,499 | See |  |  | |
| 447 |
A*01:02 |  | USA NMDP Hispanic South or Central American | | 0.0014 |  | 146,714 | See |  |  | |
| 448 |
A*01:02 |  | USA NMDP Mexican or Chicano | | 0.0012 |  | 261,235 | See |  |  | |
| 449 |
A*01:02 |  | USA NMDP Middle Eastern or North Coast of Africa | | 0.0003 |  | 70,890 | See |  |  | |
| 450 |
A*01:02 |  | USA NMDP North American Amerindian | | 0.0002 |  | 35,791 | See |  |  | |
| 451 |
A*01:02 |  | USA NMDP South Asian Indian | | 0.0000050 |  | 185,391 | See |  |  | |
| 452 |
A*01:02 |  | USA NMDP Southeast Asian | | 0.0000200 |  | 27,978 | See |  |  | |
| 453 |
A*01:02 |  | USA North American Native | | 0 |  | 187 | See |  |  | |
| 454 |
A*01:02 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 455 |
A*01:02 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 456 |
A*01:02 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 457 |
A*01:02 |  | USA Spain Ancestry | | 0.0020 |  | 279 | See |  |  | |
| 458 |
A*01:02 |  | Zambia Lusaka | | 0 |  | 44 | See |  |  | |
| 459 |
A*02:01 |  | American Samoa | | 0.1300 |  | 51 | See |  |  | |
| 460 |
A*02:01 |  | Argentina Gran Chaco Eastern Toba | 46.4 | 0.3040 |  | 135 | See |  |  | |
| 461 |
A*02:01 |  | Argentina Gran Chaco Mataco Wichi | 40.9 | 0.2160 |  | 49 | See |  |  | |
| 462 |
A*02:01 |  | Argentina Gran Chaco Western Toba Pilaga | 60.0 | 0.4000 |  | 19 | See |  |  | |
| 463 |
A*02:01 |  | Argentina Rosario Toba | 34.9 | 0.1920 |  | 86 | See |  |  | |
| 464 |
A*02:01 |  | Armenia combined Regions | | 0.1550 |  | 100 | See |  |  | |
| 465 |
A*02:01 |  | Australia Cape York Peninsula Aborigine | | 0.1750 |  | 103 | See |  |  | |
| 466 |
A*02:01 |  | Australia Groote Eylandt Aborigine | | 0.1070 |  | 75 | See |  |  | |
| 467 |
A*02:01 |  | Australia Kimberly Aborigine | | 0.1110 |  | 41 | See |  |  | |
| 468 |
A*02:01 |  | Australia New South Wales Caucasian | | 0.2610 |  | 134 | See |  |  | |
| 469 |
A*02:01 |  | Australia Yuendumu Aborigine | | 0.1130 |  | 191 | See |  |  | |
| 470 |
A*02:01 |  | Austria | 48.0 | 0.2940 |  | 200 | See |  |  | |
| 471 |
A*02:01 |  | Azores Central Islands | | 0.2590 |  | 59 | See |  |  | |
| 472 |
A*02:01 |  | Azores Oriental Islands | | 0.2560 |  | 43 | See |  |  | |
| 473 |
A*02:01 |  | Azores Terceira Island | | 0.2330 |  | 130 | See |  |  | |
| 474 |
A*02:01 |  | Belgium | 50.0 | 0.2660 |  | 99 | See |  |  | |
| 475 |
A*02:01 |  | Belgium pop 3 | 45.1 | 0.2591 |  | 31,412 | See |  |  |
|
| 476 |
A*02:01 |  | Brazil Puyanawa | 54.0 | 0.2970 |  | 150 | See |  |  |
|
| 477 |
A*02:01 |  | Brazil Belo Horizonte Caucasian | 43.2 | 0.2370 |  | 95 | See |  |  | |
| 478 |
A*02:01 |  | Brazil Mixed | | 0.1920 |  | 108 | See |  |  | |
| 479 |
A*02:01 |  | Brazil Terena | 38.3 | 0.2080 |  | 60 | See |  |  | |
| 480 |
A*02:01 |  | Brazil Vale do Ribeira Quilombos | 0.1 | 0 |  | 144 | See |  |  | |
| 481 |
A*02:01 |  | Bulgaria Romani | | 0.2080 |  | 13 | See |  |  | |
| 482 |
A*02:01 |  | Burkina Faso Fulani | | 0.0510 |  | 49 | See |  |  | |
| 483 |
A*02:01 |  | Burkina Faso Rimaibe | | 0.1380 |  | 47 | See |  |  | |
| 484 |
A*02:01 |  | Cameroon Baka Pygmy | | 0 |  | 10 | See |  |  | |
| 485 |
A*02:01 |  | Cameroon Bamileke | | 0.0110 |  | 77 | See |  |  | |
| 486 |
A*02:01 |  | Cameroon Beti | | 0.1120 |  | 174 | See |  |  | |
| 487 |
A*02:01 |  | Cameroon Sawa | | 0.0380 |  | 13 | See |  |  | |
| 488 |
A*02:01 |  | Cameroon Yaounde | | 0.0710 |  | 92 | See |  |  | |
| 489 |
A*02:01 |  | Chile Easter Island | | 0.0950 |  | 21 | See |  |  | |
| 490 |
A*02:01 |  | Chile Mapuche | | 0.2238 |  | 66 | See |  |  |
|
| 491 |
A*02:01 |  | Chile Santiago Mixed | 30.0 | 0.1633 |  | 70 | See |  |  | |
| 492 |
A*02:01 |  | China Beijing | | 0.1870 |  | 67 | See |  |  | |
| 493 |
A*02:01 |  | China Beijing Shijiazhuang Tianjian Han | | 0.1580 |  | 618 | See |  |  | |
| 494 |
A*02:01 |  | China Canton Han | | 0.1530 |  | 264 | See |  |  | |
| 495 |
A*02:01 |  | China Guangxi Region Maonan | | 0.0460 |  | 108 | See |  |  | |
| 496 |
A*02:01 |  | China Guangzhou | | 0.1280 |  | 102 | See |  |  | |
| 497 |
A*02:01 |  | China Guizhou Province Bouyei | | 0.0210 |  | 109 | See |  |  | |
| 498 |
A*02:01 |  | China Guizhou Province Miao pop 2 | | 0.0240 |  | 85 | See |  |  | |
| 499 |
A*02:01 |  | China Guizhou Province Shui | | 0.0450 |  | 153 | See |  |  | |
| 500 |
A*02:01 |  | China Han HIV negative | | 0.0630 |  | 72 | See |  |  | |
Notes:
* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
Important: 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).
* Allele Frequencies shown in
green were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
AF = 1-square_root(1-PF)
PF = 1-(1-AF)
2
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
G group.
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.
| Displaying 401 to 500
(from 790) records |
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