| Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
| 1,401 |
A*02:06 |  | Papua New Guinea Karimui Plateau Pawaia | | 0 |  | 80 | See |  |  | |
| 1,402 |
A*02:06 |  | Papua New Guinea Madang | | 0 |  | 65 | See |  |  | |
| 1,403 |
A*02:06 |  | Papua New Guinea Wanigela Keapara | | 0.0210 |  | 66 | See |  |  | |
| 1,404 |
A*02:06 |  | Papua New Guinea West Schrader Ranges Haruai | | 0 |  | 55 | See |  |  | |
| 1,405 |
A*02:06 |  | Papua New Guinea Wosera Abelam | | 0 |  | 131 | See |  |  | |
| 1,406 |
A*02:06 |  | Philippines Ivatan | 8.0 | 0.0400 |  | 50 | See |  |  | |
| 1,407 |
A*02:06 |  | Romania | 0.9 | 0.0040 |  | 348 | See |  |  | |
| 1,408 |
A*02:06 |  | Russia Bering Island Aleuts | | 0.0144 |  | 104 | See |  |  |
|
| 1,409 |
A*02:06 |  | Russia Tuva pop 2 | | 0.0690 |  | 169 | See |  |  | |
| 1,410 |
A*02:06 |  | Scotland Orkney | 0.0 | 0 |  | 99 | See |  |  | |
| 1,411 |
A*02:06 |  | Senegal Niokholo Mandenka | | 0.0050 |  | 165 | See |  |  | |
| 1,412 |
A*02:06 |  | Singapore Chinese Han | | 0.0520 |  | 94 | See |  |  | |
| 1,413 |
A*02:06 |  | Singapore Javaneses | | 0.0200 |  | 51 | See |  |  | |
| 1,414 |
A*02:06 |  | Singapore Riau Malay | | 0.0200 |  | 132 | See |  |  | |
| 1,415 |
A*02:06 |  | Singapore Thai | | 0.0200 |  | 100 | See |  |  | |
| 1,416 |
A*02:06 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
| 1,417 |
A*02:06 |  | South Korea pop 3 | | 0.0710 |  | 485 | See |  |  | |
| 1,418 |
A*02:06 |  | Sri Lanka Colombo Sinhalese | | 0.0240 |  | 101 | See |  |  | |
| 1,419 |
A*02:06 |  | Sweden Northern Sami | | 0.0140 |  | 154 | See |  |  | |
| 1,420 |
A*02:06 |  | Sweden Southern Sami | | 0.0120 |  | 130 | See |  |  | |
| 1,421 |
A*02:06 |  | Taiwan Ami | 3.1 | 0.0150 |  | 98 | See |  |  | |
| 1,422 |
A*02:06 |  | Taiwan Atayal | 17.0 | 0.0940 |  | 106 | See |  |  | |
| 1,423 |
A*02:06 |  | Taiwan Bunun | 13.9 | 0.0740 |  | 101 | See |  |  | |
| 1,424 |
A*02:06 |  | Taiwan Hakka | 5.5 | 0.0270 |  | 55 | See |  |  | |
| 1,425 |
A*02:06 |  | Taiwan Minnan pop 1 | 5.9 | 0.0290 |  | 102 | See |  |  | |
| 1,426 |
A*02:06 |  | Taiwan Paiwan | 5.9 | 0.0290 |  | 51 | See |  |  | |
| 1,427 |
A*02:06 |  | Taiwan Pazeh | 7.3 | 0.0360 |  | 55 | See |  |  | |
| 1,428 |
A*02:06 |  | Taiwan Puyuma | 24.0 | 0.1200 |  | 50 | See |  |  | |
| 1,429 |
A*02:06 |  | Taiwan Rukai | 6.0 | 0.0300 |  | 50 | See |  |  | |
| 1,430 |
A*02:06 |  | Taiwan Saisiat | 3.9 | 0.0200 |  | 51 | See |  |  | |
| 1,431 |
A*02:06 |  | Taiwan Siraya | 3.9 | 0.0200 |  | 51 | See |  |  | |
| 1,432 |
A*02:06 |  | Taiwan Taroko | 10.9 | 0.0550 |  | 55 | See |  |  | |
| 1,433 |
A*02:06 |  | Taiwan Thao | 6.7 | 0.0330 |  | 30 | See |  |  | |
| 1,434 |
A*02:06 |  | Tunisia | 0.0 | 0 |  | 100 | See |  |  | |
| 1,435 |
A*02:06 |  | Turkey pop 5 | | 0 |  | 142 | See |  |  | |
| 1,436 |
A*02:06 |  | Uganda Kampala | | 0.0030 |  | 161 | See |  |  | |
| 1,437 |
A*02:06 |  | USA Alaska Yupik | | 0.1650 |  | 252 | See |  |  | |
| 1,438 |
A*02:06 |  | USA Arizona Gila River Amerindian | | 0.0690 |  | 492 | See |  |  | |
| 1,439 |
A*02:06 |  | USA Arizona Pima | | 0.0760 |  | 100 | See |  |  | |
| 1,440 |
A*02:06 |  | USA Caucasian pop 4 | | 0.0037 |  | 1,070 | See |  |  | |
| 1,441 |
A*02:06 |  | USA Hawaii Okinawa | | 0.1430 |  | 106 | See |  |  | |
| 1,442 |
A*02:06 |  | USA New Mexico Canoncito Navajo | | 0.0490 |  | 42 | See |  |  | |
| 1,443 |
A*02:06 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 1,444 |
A*02:06 |  | USA San Antonio Caucasian | | 0.0060 |  | 222 | See |  |  | |
| 1,445 |
A*02:06 |  | USA South Dakota Lakota Sioux | | 0.1050 |  | 302 | See |  |  | |
| 1,446 |
A*02:06 |  | USA South Texas Hispanic | | 0.0730 |  | 194 | See |  |  | |
| 1,447 |
A*02:06 |  | Vietnam Hanoi Kinh pop 2 | | 0.0470 |  | 170 | See |  |  | |
| 1,448 |
A*02:06 |  | Zambia Lusaka | | 0.0120 |  | 44 | See |  |  | |
| 1,449 |
A*02:06:01 |  | Canada Chipewyan NA-DHS_2 (G) | 16.0 (*) | 0.1000 (*) |  | 25 | See |  |  |
|
| 1,450 |
A*02:06:01 |  | Canada Cree NA-DHS_3 (G) | 27.8 (*) | 0.1667 (*) |  | 18 | See |  |  |
|
| 1,451 |
A*02:06:01 |  | Canada Ojibwa NA-DHS_4 (G) | 26.7 (*) | 0.1333 (*) |  | 16 | See |  |  |
|
| 1,452 |
A*02:06:01 |  | Chile Easter Island | | 0.0480 |  | 21 | See |  |  | |
| 1,453 |
A*02:06:01 |  | China Guizhou Province Bouyei | | 0.0310 |  | 109 | See |  |  | |
| 1,454 |
A*02:06:01 |  | China Guizhou Province Miao pop 2 | | 0 |  | 85 | See |  |  | |
| 1,455 |
A*02:06:01 |  | China Guizhou Province Shui | | 0.0260 |  | 153 | See |  |  | |
| 1,456 |
A*02:06:01 |  | China Inner Mongolia Region | | 0.0250 |  | 102 | See |  |  | |
| 1,457 |
A*02:06:01 |  | China Jingpo Minority | 4.9 | 0.0240 |  | 105 | See |  |  |
|
| 1,458 |
A*02:06:01 |  | China Qinghai Province Hui | | 0.0500 |  | 110 | See |  |  | |
| 1,459 |
A*02:06:01 |  | China Tibet Region Tibetan | | 0.1010 |  | 158 | See |  |  | |
| 1,460 |
A*02:06:01 |  | China Yunnan Province Jinuo | | 0.0090 |  | 109 | See |  |  | |
| 1,461 |
A*02:06:01 |  | China Yunnan Province Lisu | | 0.0340 |  | 111 | See |  |  | |
| 1,462 |
A*02:06:01 |  | China Yunnan Province Wa | | 0 |  | 119 | See |  |  | |
| 1,463 |
A*02:06:01 |  | Colombia Zenu NA-DHS_18 (G) | 16.7 (*) | 0.0833 (*) |  | 16 | See |  |  |
|
| 1,464 |
A*02:06:01 |  | Costa Rica Amerindians (G) | 8.8 (*) | 0.0440 (*) |  | 125 | See |  |  |
|
| 1,465 |
A*02:06:01 |  | Costa Rica Cabecar NA-DHS_9 (G) | 21.1 (*) | 0.1053 (*) |  | 19 | See |  |  |
|
| 1,466 |
A*02:06:01 |  | Costa Rica Central Valley Mestizo (G) | 5.8 (*) | 0.0290 (*) |  | 221 | See |  |  |
|
| 1,467 |
A*02:06:01 |  | Costa Rica Guanacaste Mestizo (G) | 6.4 (*) | 0.0320 (*) |  | 110 | See |  |  |
|
| 1,468 |
A*02:06:01 |  | Indonesia Java pop 2 | | 0.0280 |  | 36 | See |  |  | |
| 1,469 |
A*02:06:01 |  | Indonesia Sundanese and Javanese | | 0.0350 |  | 201 | See |  |  | |
| 1,470 |
A*02:06:01 |  | Mexico Mixe NA-DHS_6 (G) | 60.0 (*) | 0.3750 (*) |  | 20 | See |  |  |
|
| 1,471 |
A*02:06:01 |  | Mexico Mixtec NA-DHS_5 (G) | 70.0 (*) | 0.4750 (*) |  | 20 | See |  |  |
|
| 1,472 |
A*02:06:01 |  | Mexico Zapotec NA-DHS_7 (G) | 45.0 (*) | 0.3000 (*) |  | 20 | See |  |  |
|
| 1,473 |
A*02:06:01 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,474 |
A*02:06:01 |  | Nicaragua Mestizo (G) | 7.8 (*) | 0.0390 (*) |  | 155 | See |  |  |
|
| 1,475 |
A*02:06:01 |  | Russia Tundra Nentsi NA-DHS_1 (G) | 25.0 (*) | 0.1563 (*) |  | 16 | See |  |  |
|
| 1,476 |
A*02:06:01 |  | Vietnam Kinh | 6.0 | 0.0297 |  | 101 | See |  |  |
|
| 1,477 |
A*02:06:02 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 1,478 |
A*02:06:02 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,479 |
A*02:06:03 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,480 |
A*02:06:04 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,481 |
A*02:06:05 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,482 |
A*02:06:06 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,483 |
A*02:06:07 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,484 |
A*02:06:08 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,485 |
A*02:06:09 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,486 |
A*02:07 |  | Australia New South Wales Caucasian | | 0.0080 |  | 134 | See |  |  | |
| 1,487 |
A*02:07 |  | Australia Yuendumu Aborigine | | 0 |  | 191 | See |  |  | |
| 1,488 |
A*02:07 |  | Bolivia/Peru Quechua NA-DHS_12 (G) | 4.8 (*) | 0.0238 (*) |  | 21 | See |  |  |
|
| 1,489 |
A*02:07 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
| 1,490 |
A*02:07 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 1,491 |
A*02:07 |  | Burkina Faso Fulani | | 0.0100 |  | 49 | See |  |  | |
| 1,492 |
A*02:07 |  | Burkina Faso Rimaibe | | 0 |  | 47 | See |  |  | |
| 1,493 |
A*02:07 |  | China Beijing | | 0.0670 |  | 67 | See |  |  | |
| 1,494 |
A*02:07 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0770 |  | 618 | See |  |  | |
| 1,495 |
A*02:07 |  | China Guangxi Region Maonan | | 0.1340 |  | 108 | See |  |  | |
| 1,496 |
A*02:07 |  | China Guangzhou | | 0.0930 |  | 102 | See |  |  | |
| 1,497 |
A*02:07 |  | China Guizhou Province Bouyei | | 0.2270 |  | 109 | See |  |  | |
| 1,498 |
A*02:07 |  | China Guizhou Province Miao pop 2 | | 0.1650 |  | 85 | See |  |  | |
| 1,499 |
A*02:07 |  | China Guizhou Province Shui | | 0.1750 |  | 153 | See |  |  | |
| 1,500 |
A*02:07 |  | China Inner Mongolia Region | | 0.0250 |  | 102 | 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.