Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
139,401 |
DRB1*13:02:01 | | Costa Rica Guanacaste Mestizo (G) | 6.4 (*) | 0.0320 (*) | | 110 | See | | |
|
139,402 |
DRB1*13:02:01 | | England North West | 7.0 | 0.0390 | | 298 | See | | | |
139,403 |
DRB1*13:02:01 | | Guatemala Kaqchikel NA-DHS_8 (G) | 5.3 (*) | 0.0263 (*) | | 19 | See | | |
|
139,404 |
DRB1*13:02:01 | | Guinea Bissau | | 0.0770 | | 65 | See | | | |
139,405 |
DRB1*13:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 3.8 | 0.0192 | | 5,266 | See | | |
|
139,406 |
DRB1*13:02:01 | | India Andhra Pradesh Telugu Speaking | 3.2 | 0.0161 | | 186 | See | | |
|
139,407 |
DRB1*13:02:01 | | India Karnataka Kannada Speaking | 8.0 | 0.0400 | | 174 | See | | |
|
139,408 |
DRB1*13:02:01 | | India Kerala Malayalam speaking | 11.2 | 0.0600 | | 356 | See | | |
|
139,409 |
DRB1*13:02:01 | | India Mumbai Maratha | | 0.0080 | | 91 | See | | | |
139,410 |
DRB1*13:02:01 | | Libya Cyrenaica | | 0.0930 | | 118 | See | | | |
139,411 |
DRB1*13:02:01 | | Madeira | | 0.0460 | | 185 | See | | | |
139,412 |
DRB1*13:02:01 | | Mexico Chihuahua Tarahumara | | 0.0110 | | 44 | See | | | |
139,413 |
DRB1*13:02:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 1.4 | 0.0069 | | 72 | See | | | |
139,414 |
DRB1*13:02:01 | | Mexico Zapotec NA-DHS_7 (G) | 10.5 (*) | 0.0526 (*) | | 20 | See | | |
|
139,415 |
DRB1*13:02:01 | | Nicaragua Mestizo (G) | 9.2 (*) | 0.0490 (*) | | 155 | See | | |
|
139,416 |
DRB1*13:02:01 | | Nigeria | 12.8 | 0.0700 | | 258 | See | | | |
139,417 |
DRB1*13:02:01 | | Poland BMR | 5.1 | 0.0264 | | 23,595 | See | | |
|
139,418 |
DRB1*13:02:01 | | Portugal Azores Terceira Island | 5.3 | 0.0219 | | 130 | See | | |
|
139,419 |
DRB1*13:02:01 | | Russia Belgorod region | 5.2 | 0.0261 | | 153 | See | | |
|
139,420 |
DRB1*13:02:01 | | Russia Bashkortostan, Bashkirs | 7.5 | 0.0417 | | 120 | See | | |
|
139,421 |
DRB1*13:02:01 | | Russia Bashkortostan, Tatars | 3.6 | 0.0182 | | 192 | See | | |
|
139,422 |
DRB1*13:02:01 | | Russia Nizhny Novgorod, Russians | 5.2 | 0.0258 | | 1,510 | See | | |
|
139,423 |
DRB1*13:02:01 | | Russian Federation Vologda Region | 6.7 | 0.0336 | | 119 | See | | |
|
139,424 |
DRB1*13:02:01 | | Saudi Arabia pop 3 | | 0.0800 | | 50 | See | | | |
139,425 |
DRB1*13:02:01 | | Saudi Arabia pop 5 | 7.0 | 0.0380 | | 158 | See | | | |
139,426 |
DRB1*13:02:01 | | Saudi Arabia pop 6 (G) | | 0.0673 (*) | | 28,927 | See | | | |
139,427 |
DRB1*13:02:01 | | South African Black | 9.9 | 0.0493 | | 142 | See | | |
|
139,428 |
DRB1*13:02:01 | | South Korea pop 3 | | 0 | | 485 | See | | | |
139,429 |
DRB1*13:02:01 | | Spain, Canary Islands, Gran canaria island | 3.7 | 0.0209 | | 215 | See | | |
|
139,430 |
DRB1*13:02:01 | | Taiwan Ami pop 2 | | 0 | | 50 | See | | | |
139,431 |
DRB1*13:02:01 | | Taiwan Atayal pop 2 | | 0 | | 50 | See | | | |
139,432 |
DRB1*13:02:01 | | Taiwan Bunun pop 2 | | 0.0300 | | 50 | See | | | |
139,433 |
DRB1*13:02:01 | | Taiwan Han | | 0.0200 | | 50 | See | | | |
139,434 |
DRB1*13:02:01 | | Taiwan Minnan and Hakka | | 0.0370 | | 190 | See | | | |
139,435 |
DRB1*13:02:01 | | Taiwan Orchid Island Yami | | 0 | | 50 | See | | | |
139,436 |
DRB1*13:02:01 | | Taiwan Paiwan pop 2 | | 0 | | 50 | See | | | |
139,437 |
DRB1*13:02:01 | | Taiwan Puyuma pop 2 | | 0 | | 50 | See | | | |
139,438 |
DRB1*13:02:01 | | Taiwan Rukai pop 2 | | 0 | | 50 | See | | | |
139,439 |
DRB1*13:02:01 | | Taiwan Saisiat pop 2 | | 0 | | 50 | See | | | |
139,440 |
DRB1*13:02:01 | | Taiwan Tsou pop 2 | | 0 | | 50 | See | | | |
139,441 |
DRB1*13:02:01 | | USA African American pop 3 | | 0.0670 | | 564 | See | | | |
139,442 |
DRB1*13:02:01 | | USA Arizona Gila River Pima | | 0.0008 | | 3,000 | See | | | |
139,443 |
DRB1*13:02:01 | | USA Italy Ancestry | | 0.0400 | | 273 | See | | | |
139,444 |
DRB1*13:02:01 | | USA Mexican American Mestizo | | 0.0340 | | 553 | See | | | |
139,445 |
DRB1*13:02:01 | | USA San Francisco Caucasian | | 0.0450 | | 220 | See | | | |
139,446 |
DRB1*13:02:01 | | USA Spain Ancestry | | 0.0160 | | 279 | See | | | |
139,447 |
DRB1*13:02:01 | | Vietnam Kinh | 3.0 | 0.0149 | | 101 | See | | |
|
139,448 |
DRB1*13:02:02 | | Bulgaria | | 0 | | 55 | See | | | |
139,449 |
DRB1*13:02:02 | | South Korea pop 3 | | 0 | | 485 | See | | | |
139,450 |
DRB1*13:02:05 | | Saudi Arabia pop 6 (G) | | 0.0002 (*) | | 28,927 | See | | | |
139,451 |
DRB1*13:03 | | Algeria | | 0.0250 | | 97 | See | | | |
139,452 |
DRB1*13:03 | | Algeria Oran | | 0.0200 | | 100 | See | | | |
139,453 |
DRB1*13:03 | | Algeria pop 2 | 5.0 | 0.0253 | | 106 | See | | | |
139,454 |
DRB1*13:03 | | Argentina Buenos Aires | 1.9 | 0.0100 | | 466 | See | | | |
139,455 |
DRB1*13:03 | | Argentina Chubut Tehuelche | | 0 | | 23 | See | | | |
139,456 |
DRB1*13:03 | | Argentina Gran Chaco Eastern Toba | | 0.0040 | | 135 | See | | | |
139,457 |
DRB1*13:03 | | Argentina Gran Chaco Mataco Wichi | | 0 | | 49 | See | | | |
139,458 |
DRB1*13:03 | | Argentina Gran Chaco Western Toba Pilaga | | 0 | | 19 | See | | | |
139,459 |
DRB1*13:03 | | Argentina Rio Negro Mapuche | | 0 | | 34 | See | | | |
139,460 |
DRB1*13:03 | | Argentina Salta Wichi | | 0 | | 24 | See | | | |
139,461 |
DRB1*13:03 | | Armenia combined Regions | | 0.0100 | | 100 | See | | | |
139,462 |
DRB1*13:03 | | Austria | 2.5 | 0.0120 | | 200 | See | | | |
139,463 |
DRB1*13:03 | | Azores Central Islands | | 0 | | 59 | See | | | |
139,464 |
DRB1*13:03 | | Azores Oriental Islands | | 0.0130 | | 43 | See | | | |
139,465 |
DRB1*13:03 | | Azores Terceira Island | | 0.0120 | | 130 | See | | | |
139,466 |
DRB1*13:03 | | Bolivia Quechua | | 0.0072 | | 69 | See | | |
|
139,467 |
DRB1*13:03 | | Brazil Paraná Caucasian | 2.5 | 0.0125 | | 641 | See | | |
|
139,468 |
DRB1*13:03 | | Brazil Central Plateau Xavante | | 0 | | 74 | See | | | |
139,469 |
DRB1*13:03 | | Brazil East Amazon | | 0 | | 41 | See | | | |
139,470 |
DRB1*13:03 | | Brazil Guarani M bya | | 0 | | 93 | See | | | |
139,471 |
DRB1*13:03 | | Brazil Guarani Nandeva | | 0.0060 | | 86 | See | | | |
139,472 |
DRB1*13:03 | | Brazil Kaingang | | 0 | | 235 | See | | | |
139,473 |
DRB1*13:03 | | Brazil Mato Grosso do Sul | | 0.0150 | | 203 | See | | | |
139,474 |
DRB1*13:03 | | Brazil Mixed | | 0.0050 | | 108 | See | | | |
139,475 |
DRB1*13:03 | | Brazil North East Mixed | | 0.0080 | | 205 | See | | | |
139,476 |
DRB1*13:03 | | Brazil South Caucasian | | 0.0278 | | 73 | See | | | |
139,477 |
DRB1*13:03 | | Brazil Southeast Caucasian | 1.0 | 0.0050 | | 103 | See | | | |
139,478 |
DRB1*13:03 | | Brazil Southeast Mixed Race | 2.4 | 0.0120 | | 42 | See | | | |
139,479 |
DRB1*13:03 | | Cameroon | | 0.0350 | | 126 | See | | | |
139,480 |
DRB1*13:03 | | Canada British Columbia Athabaskan | | 0 | | 62 | See | | | |
139,481 |
DRB1*13:03 | | Canada British Columbia Penutian | | 0 | | 26 | See | | | |
139,482 |
DRB1*13:03 | | Central African Republic Aka Pygmy | 0.0 | 0 | | 93 | See | | | |
139,483 |
DRB1*13:03 | | Chile Santiago | | 0.0103 | | 920 | See | | |
|
139,484 |
DRB1*13:03 | | Chile Santiago Mixed | 1.0 | 0.0050 | | 70 | See | | | |
139,485 |
DRB1*13:03 | | China Beijing and Xian | | 0.0030 | | 171 | See | | | |
139,486 |
DRB1*13:03 | | China Beijing Shijiazhuang Tianjian Han | | 0.0020 | | 618 | See | | | |
139,487 |
DRB1*13:03 | | China Guangxi Region Maonan | | 0.0690 | | 108 | See | | | |
139,488 |
DRB1*13:03 | | China Hong Kong and Singapore | | 0.0040 | | 135 | See | | | |
139,489 |
DRB1*13:03 | | China Hubei Han | 0.0300 | 0.0001 | | 3,732 | See | | |
|
139,490 |
DRB1*13:03 | | China Jiangsu Han | | 0.0003 | | 3,238 | See | | | |
139,491 |
DRB1*13:03 | | China Southwest Dai | | 0.0360 | | 124 | See | | | |
139,492 |
DRB1*13:03 | | China Urumqi Han | | 0 | | 59 | See | | | |
139,493 |
DRB1*13:03 | | China Urumqi Kazak | | 0 | | 42 | See | | | |
139,494 |
DRB1*13:03 | | China Urumqi Uyghur | 0.0 | 0 | | 57 | See | | | |
139,495 |
DRB1*13:03 | | China Xinjiang Province Uyghur | | 0.0110 | | 92 | See | | | |
139,496 |
DRB1*13:03 | | China Yunnan Bulang | | 0.0040 | | 116 | See | | | |
139,497 |
DRB1*13:03 | | China Yunnan Province Han | | 0.0100 | | 101 | See | | | |
139,498 |
DRB1*13:03 | | China Yunnan Province Han pop 2 | | 0.0040 | | 129 | See | | | |
139,499 |
DRB1*13:03 | | China Yunnan Province Naxi | | 0.0040 | | 118 | See | | | |
139,500 |
DRB1*13:03 | | China, Xinjiang Uyghur Autonomous Region Han | 2.5 | 0.0125 | | 70 | 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.