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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 |
| 63,401 |
DRB1*15:01 |  | Russia Siberia Khabarovsk Evenki | | 0.0800 |  | 25 | See |  |  | |
| 63,402 |
DRB1*15:01 |  | Russia Siberia Khanty Mansi | | 0.1030 |  | 68 | See |  |  | |
| 63,403 |
DRB1*15:01 |  | Russia Siberia Kushun Buryat | | 0.1800 |  | 25 | See |  |  | |
| 63,404 |
DRB1*15:01 |  | Russia Siberia Lower Yenisey Ket | | 0.0880 |  | 17 | See |  |  | |
| 63,405 |
DRB1*15:01 |  | Russia Siberia Negidal | | 0.0430 |  | 35 | See |  |  | |
| 63,406 |
DRB1*15:01 |  | Russia Siberia North East Kamchatka Koryak | | 0.0100 |  | 92 | See |  |  | |
| 63,407 |
DRB1*15:01 |  | Russia Siberia NW of Sakhalin Island Nivkh | | 0.0200 |  | 32 | See |  |  | |
| 63,408 |
DRB1*15:01 |  | Russia Siberia Polygus Evenk | | 0.0600 |  | 35 | See |  |  | |
| 63,409 |
DRB1*15:01 |  | Russia Siberia Sulamai Ket | | 0.0700 |  | 22 | See |  |  | |
| 63,410 |
DRB1*15:01 |  | Russia Siberia Ulchi | | 0.0550 |  | 73 | See |  |  | |
| 63,411 |
DRB1*15:01 |  | Russia Tuva | | 0.1140 |  | 190 | See |  |  | |
| 63,412 |
DRB1*15:01 |  | Russia Tuva pop 2 | | 0.1220 |  | 169 | See |  |  | |
| 63,413 |
DRB1*15:01 |  | Russia Tuva pop3 | | 0.0910 |  | 44 | See |  |  | |
| 63,414 |
DRB1*15:01 |  | Russia Tuva Todja | | 0.2040 |  | 22 | See |  |  | |
| 63,415 |
DRB1*15:01 |  | Samoa | | 0.0350 |  | 29 | See |  |  | |
| 63,416 |
DRB1*15:01 |  | Samoa West | | 0.0230 |  | 22 | See |  |  | |
| 63,417 |
DRB1*15:01 |  | Sao Tome Island Angolar | | 0.0310 |  | 32 | See |  |  | |
| 63,418 |
DRB1*15:01 |  | Sao Tome Island Forro | | 0.0230 |  | 66 | See |  |  | |
| 63,419 |
DRB1*15:01 |  | Saudi Arabia Guraiat and Hail | 15.5 | 0.0890 |  | 213 | See |  |  | |
| 63,420 |
DRB1*15:01 |  | Scotland Orkney | 34.6 | 0.1810 |  | 99 | See |  |  | |
| 63,421 |
DRB1*15:01 |  | Singapore Riau Malay | | 0.1200 |  | 132 | See |  |  | |
| 63,422 |
DRB1*15:01 |  | Slovenia | 18.0 | 0.0944 |  | 100 | See |  |  | |
| 63,423 |
DRB1*15:01 |  | South Africa Caucasians | | 0.1120 |  | 102 | See |  |  | |
| 63,424 |
DRB1*15:01 |  | South Korea pop 11 | | 0.0640 |  | 149 | See |  |  | |
| 63,425 |
DRB1*15:01 |  | South Korea pop 3 | | 0.0740 |  | 485 | See |  |  | |
| 63,426 |
DRB1*15:01 |  | Spain Arratia Valley Basque | | 0.1670 |  | 83 | See |  |  | |
| 63,427 |
DRB1*15:01 |  | Spain Las Alpujarras | | 0.0883 |  | 85 | See |  |  |
|
| 63,428 |
DRB1*15:01 |  | Spain North Cabuerniga | | 0.3000 |  | 95 | See |  |  | |
| 63,429 |
DRB1*15:01 |  | Spain North Cantabria | | 0.2530 |  | 83 | See |  |  | |
| 63,430 |
DRB1*15:01 |  | Spain Pas Valley | | 0.3210 |  | 88 | See |  |  | |
| 63,431 |
DRB1*15:01 |  | Spain Tenerife Island | | 0.0140 |  | 83 | See |  |  |
|
| 63,432 |
DRB1*15:01 |  | Sweden Northern Sami | | 0.0750 |  | 154 | See |  |  | |
| 63,433 |
DRB1*15:01 |  | Sweden Southern Sami | | 0.1470 |  | 130 | See |  |  | |
| 63,434 |
DRB1*15:01 |  | Taiwan Aborigine pop 2 | | 0.0620 |  | 48 | See |  |  | |
| 63,435 |
DRB1*15:01 |  | Thailand Kamphaeng Phet | | 0.0670 |  | 97 | See |  |  | |
| 63,436 |
DRB1*15:01 |  | Thailand North Dai Lue | | 0.0680 |  | 96 | See |  |  | |
| 63,437 |
DRB1*15:01 |  | Thailand Northeast | | 0.0760 |  | 66 | See |  |  | |
| 63,438 |
DRB1*15:01 |  | Thailand Northeast pop 2 | | 0.0780 |  | 400 | See |  |  | |
| 63,439 |
DRB1*15:01 |  | Tunisia | 4.0 | 0.0200 |  | 100 | See |  |  | |
| 63,440 |
DRB1*15:01 |  | Tunisia Gabes | | 0.0842 |  | 95 | See |  |  | |
| 63,441 |
DRB1*15:01 |  | Tunisia Gabes Arab | | 0.0720 |  | 96 | See |  |  | |
| 63,442 |
DRB1*15:01 |  | Tunisia Ghannouch | | 0.0430 |  | 82 | See |  |  | |
| 63,443 |
DRB1*15:01 |  | Tunisia Jerba Berber | | 0.0390 |  | 55 | See |  |  | |
| 63,444 |
DRB1*15:01 |  | Tunisia Matmata Berber | | 0.1170 |  | 81 | See |  |  | |
| 63,445 |
DRB1*15:01 |  | Tunisia pop 3 | | 0.0780 |  | 104 | See |  |  | |
| 63,446 |
DRB1*15:01 |  | Turkey pop 1 | | 0.0640 |  | 250 | See |  |  | |
| 63,447 |
DRB1*15:01 |  | USA Alaska Yupik | | 0.0080 |  | 252 | See |  |  | |
| 63,448 |
DRB1*15:01 |  | USA Caucasian pop 4 | | 0.1394 |  | 1,070 | See |  |  | |
| 63,449 |
DRB1*15:01 |  | USA Hawaii | | 0.0640 |  | 39 | See |  |  | |
| 63,450 |
DRB1*15:01 |  | USA Philadelphia Caucasian | 19.9 | 0.1030 |  | 141 | See |  |  | |
| 63,451 |
DRB1*15:01 |  | USA Philippines | | 0.0290 |  | 105 | See |  |  | |
| 63,452 |
DRB1*15:01 |  | USA San Antonio Caucasian | | 0.1486 |  | 222 | See |  |  | |
| 63,453 |
DRB1*15:01 |  | USA South Dakota Sioux | | 0.0310 |  | 101 | See |  |  | |
| 63,454 |
DRB1*15:01 |  | USA South Texas Hispanic | | 0.0770 |  | 194 | See |  |  | |
| 63,455 |
DRB1*15:01 |  | Vietnam Hanoi Kinh | | 0.0390 |  | 103 | See |  |  | |
| 63,456 |
DRB1*15:01 |  | Vietnam Hanoi Kinh pop 2 | | 0.0380 |  | 170 | See |  |  | |
| 63,457 |
DRB1*15:01 |  | Vietnam HoaBinh Muong | | 0.0540 |  | 83 | See |  |  | |
| 63,458 |
DRB1*15:01 |  | Western Samoa and Tokelau | | 0.0390 |  | 51 | See |  |  | |
| 63,459 |
DRB1*15:01 |  | Zimbabwe Harare Shona | | 0.0020 |  | 230 | See |  |  | |
| 63,460 |
DRB1*15:01:01 |  | Brazil Guarani M bya | | 0 |  | 93 | See |  |  | |
| 63,461 |
DRB1*15:01:01 |  | Brazil Kaingang | | 0 |  | 235 | See |  |  | |
| 63,462 |
DRB1*15:01:01 |  | Bulgaria | | 0.0180 |  | 55 | See |  |  | |
| 63,463 |
DRB1*15:01:01 |  | Canada Chipewyan NA-DHS_2 (G) | 12.0 (*) | 0.0600 (*) |  | 25 | See |  |  |
|
| 63,464 |
DRB1*15:01:01 |  | Cape Verde Northwestern Islands | | 0.0320 |  | 62 | See |  |  | |
| 63,465 |
DRB1*15:01:01 |  | Cape Verde Southeastern Islands | | 0.0480 |  | 62 | See |  |  | |
| 63,466 |
DRB1*15:01:01 |  | China Guizhou Province Miao | | 0.1960 |  | 85 | See |  |  | |
| 63,467 |
DRB1*15:01:01 |  | China Inner Mongolia Region Ewenki | | 0.0640 |  | 94 | See |  |  | |
| 63,468 |
DRB1*15:01:01 |  | China Jingpo Minority | 10.3 | 0.0520 |  | 105 | See |  |  |
|
| 63,469 |
DRB1*15:01:01 |  | China Lijiang Naxi | | 0.0210 |  | 100 | See |  |  | |
| 63,470 |
DRB1*15:01:01 |  | China Shandong Province Han | | 0.1630 |  | 98 | See |  |  | |
| 63,471 |
DRB1*15:01:01 |  | China Wanwei, Wutou and Shanxin Islands Jing | | 0.0510 |  | 138 | See |  |  | |
| 63,472 |
DRB1*15:01:01 |  | China Yunnan Province Bai | | 0.0900 |  | 128 | See |  |  | |
| 63,473 |
DRB1*15:01:01 |  | China Yunnan Province Drung | | 0.0070 |  | 70 | See |  |  | |
| 63,474 |
DRB1*15:01:01 |  | China Yunnan Province Jinuo | | 0.0410 |  | 109 | See |  |  | |
| 63,475 |
DRB1*15:01:01 |  | China Yunnan Province Lahu | | 0.1250 |  | 70 | See |  |  | |
| 63,476 |
DRB1*15:01:01 |  | China Yunnan Province Lisu | | 0.0680 |  | 111 | See |  |  | |
| 63,477 |
DRB1*15:01:01 |  | China Yunnan Province Nu | | 0.0540 |  | 107 | See |  |  | |
| 63,478 |
DRB1*15:01:01 |  | China Yunnan Province Wa | | 0 |  | 119 | See |  |  | |
| 63,479 |
DRB1*15:01:01 |  | China Yunnan Province Yao | | 0.1270 |  | 66 | See |  |  | |
| 63,480 |
DRB1*15:01:01 |  | Colombia Arhuaco NA-DHS_16 (G) | 29.4 (*) | 0.1471 (*) |  | 17 | See |  |  |
|
| 63,481 |
DRB1*15:01:01 |  | Colombia Kogi NA-DHS_17 (G) | 7.1 (*) | 0.0357 (*) |  | 15 | See |  |  |
|
| 63,482 |
DRB1*15:01:01 |  | Colombia Wayuu NA-DHS_15 (G) | 26.7 (*) | 0.1333 (*) |  | 15 | See |  |  |
|
| 63,483 |
DRB1*15:01:01 |  | Cook Islands | | 0.0100 |  | 50 | See |  |  | |
| 63,484 |
DRB1*15:01:01 |  | Guinea Bissau | | 0.0080 |  | 65 | See |  |  | |
| 63,485 |
DRB1*15:01:01 |  | India Andhra Pradesh Golla | | 0.0050 |  | 111 | See |  |  | |
| 63,486 |
DRB1*15:01:01 |  | India Mumbai Maratha | | 0.1940 |  | 91 | See |  |  | |
| 63,487 |
DRB1*15:01:01 |  | India North pop 2 | | 0.1480 |  | 72 | See |  |  | |
| 63,488 |
DRB1*15:01:01 |  | Indonesia Java pop 2 | | 0.0420 |  | 36 | See |  |  | |
| 63,489 |
DRB1*15:01:01 |  | Indonesia Sundanese and Javanese | | 0.0420 |  | 201 | See |  |  | |
| 63,490 |
DRB1*15:01:01 |  | Madeira | | 0.0890 |  | 185 | See |  |  | |
| 63,491 |
DRB1*15:01:01 |  | Mexico Chihuahua Tarahumara | | 0.0230 |  | 44 | See |  |  | |
| 63,492 |
DRB1*15:01:01 |  | Morocco Atlantic Coast Chaouya | | 0.1260 |  | 98 | See |  |  | |
| 63,493 |
DRB1*15:01:01 |  | Morocco Nador Metalsa | | 0.0960 |  | 99 | See |  |  | |
| 63,494 |
DRB1*15:01:01 |  | Morocco Settat Chaouya | | 0.1280 |  | 98 | See |  |  | |
| 63,495 |
DRB1*15:01:01 |  | New Zealand Maori | | 0.0530 |  | 200 | See |  |  | |
| 63,496 |
DRB1*15:01:01 |  | Philippines Ivatan | 2.0 | 0.0100 |  | 50 | See |  |  | |
| 63,497 |
DRB1*15:01:01 |  | Russia Tundra Nentsi NA-DHS_1 (G) | 18.8 (*) | 0.0938 (*) |  | 16 | See |  |  |
|
| 63,498 |
DRB1*15:01:01 |  | Samoa pop2 | | 0.0300 |  | 50 | See |  |  | |
| 63,499 |
DRB1*15:01:01 |  | Saudi Arabia pop 3 | | 0.1200 |  | 50 | See |  |  | |
| 63,500 |
DRB1*15:01:01 |  | South Korea pop 3 | | 0 |  | 485 | 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.