Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
120,601 |
DRB1*04:01:01 | | China Shandong Province Han | | 0.0150 | | 98 | See | | | |
120,602 |
DRB1*04:01:01 | | China Yunnan Province Bai | | 0.0040 | | 128 | See | | | |
120,603 |
DRB1*04:01:01 | | China Yunnan Province Lisu | | 0.0100 | | 111 | See | | | |
120,604 |
DRB1*04:01:01 | | China Yunnan Province Nu | | 0.0050 | | 107 | See | | | |
120,605 |
DRB1*04:01:01 | | China Zhejiang Han | | 0.0087 | | 1,734 | See | | |
|
120,606 |
DRB1*04:01:01 | | Costa Rica African -Caribbean (G) | 4.0 (*) | 0.0200 (*) | | 102 | See | | |
|
120,607 |
DRB1*04:01:01 | | Costa Rica Amerindians (G) | 0.8 (*) | 0.0040 (*) | | 125 | See | | |
|
120,608 |
DRB1*04:01:01 | | Costa Rica Central Valley Mestizo (G) | 0.4 (*) | 0.0020 (*) | | 221 | See | | |
|
120,609 |
DRB1*04:01:01 | | Costa Rica Guanacaste Mestizo (G) | 2.8 (*) | 0.0140 (*) | | 110 | See | | |
|
120,610 |
DRB1*04:01:01 | | England North West | 21.5 | 0.1160 | | 298 | See | | | |
120,611 |
DRB1*04:01:01 | | Guinea Bissau | | 0 | | 65 | See | | | |
120,612 |
DRB1*04:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.3 | 0.0017 | | 5,266 | See | | |
|
120,613 |
DRB1*04:01:01 | | India Andhra Pradesh Telugu Speaking | 2.2 | 0.0108 | | 186 | See | | |
|
120,614 |
DRB1*04:01:01 | | India Karnataka Kannada Speaking | 0.6 | 0.0030 | | 174 | See | | |
|
120,615 |
DRB1*04:01:01 | | India Kerala Malayalam speaking | 4.8 | 0.0240 | | 356 | See | | |
|
120,616 |
DRB1*04:01:01 | | India Mumbai Maratha | | 0.0740 | | 91 | See | | | |
120,617 |
DRB1*04:01:01 | | Ireland Northern | 20.9 | 0.1110 | | 1,000 | See | | | |
120,618 |
DRB1*04:01:01 | | Libya Cyrenaica | | 0.0040 | | 118 | See | | | |
120,619 |
DRB1*04:01:01 | | Madeira | | 0.0240 | | 185 | See | | | |
120,620 |
DRB1*04:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 1.4 | 0.0069 | | 72 | See | | | |
120,621 |
DRB1*04:01:01 | | Morocco Nador Metalsa | | 0 | | 99 | See | | | |
120,622 |
DRB1*04:01:01 | | Nicaragua Mestizo (G) | 0.6 (*) | 0.0030 (*) | | 155 | See | | |
|
120,623 |
DRB1*04:01:01 | | Nigeria | 0.4 | 0.0020 | | 258 | See | | | |
120,624 |
DRB1*04:01:01 | | Poland BMR | 10.1 | 0.0524 | | 23,595 | See | | |
|
120,625 |
DRB1*04:01:01 | | Russia Belgorod region | 4.6 | 0.0229 | | 153 | See | | |
|
120,626 |
DRB1*04:01:01 | | Russia Bashkortostan, Bashkirs | 11.7 | 0.0583 | | 120 | See | | |
|
120,627 |
DRB1*04:01:01 | | Russia Bashkortostan, Tatars | 5.2 | 0.0260 | | 192 | See | | |
|
120,628 |
DRB1*04:01:01 | | Russia Nizhny Novgorod, Russians | 8.8 | 0.0447 | | 1,510 | See | | |
|
120,629 |
DRB1*04:01:01 | | Russia Tundra Nentsi NA-DHS_1 (G) | 18.8 (*) | 0.0938 (*) | | 16 | See | | |
|
120,630 |
DRB1*04:01:01 | | Russian Federation Vologda Region | 9.2 | 0.0504 | | 119 | See | | |
|
120,631 |
DRB1*04:01:01 | | Saudi Arabia pop 3 | | 0.0400 | | 50 | See | | | |
120,632 |
DRB1*04:01:01 | | Saudi Arabia pop 5 | 1.3 | 0.0063 | | 158 | See | | | |
120,633 |
DRB1*04:01:01 | | Saudi Arabia pop 6 (G) | | 0.0114 (*) | | 28,927 | See | | | |
120,634 |
DRB1*04:01:01 | | South African Black | 5.0 | 0.0282 | | 142 | See | | |
|
120,635 |
DRB1*04:01:01 | | South Korea pop 3 | | 0 | | 485 | See | | | |
120,636 |
DRB1*04:01:01 | | Spain, Canary Islands, Gran canaria island | 2.3 | 0.0116 | | 215 | See | | |
|
120,637 |
DRB1*04:01:01 | | Taiwan Minnan and Hakka | | 0.0030 | | 190 | See | | | |
120,638 |
DRB1*04:01:01 | | USA African American pop 3 | | 0.0260 | | 564 | See | | | |
120,639 |
DRB1*04:01:01 | | USA Arizona Gila River Pima | | 0.0009 | | 3,000 | See | | | |
120,640 |
DRB1*04:01:01 | | USA Italy Ancestry | | 0.0590 | | 273 | See | | | |
120,641 |
DRB1*04:01:01 | | USA Mexican American Mestizo | | 0.0200 | | 553 | See | | | |
120,642 |
DRB1*04:01:01 | | USA San Francisco Caucasian | | 0.0680 | | 220 | See | | | |
120,643 |
DRB1*04:01:01 | | USA Spain Ancestry | | 0.0020 | | 279 | See | | | |
120,644 |
DRB1*04:01:01 | | Vietnam Kinh | 1.0 | 0.0050 | | 101 | See | | |
|
120,645 |
DRB1*04:01:02 | | Brazil Guarani M bya | | 0 | | 93 | See | | | |
120,646 |
DRB1*04:01:02 | | Bulgaria | | 0 | | 55 | See | | | |
120,647 |
DRB1*04:01:02 | | Ireland Northern | 0.0 | 0 | | 1,000 | See | | | |
120,648 |
DRB1*04:01:02 | | Morocco Nador Metalsa | | 0 | | 99 | See | | | |
120,649 |
DRB1*04:01:02 | | South Korea pop 3 | | 0 | | 485 | See | | | |
120,650 |
DRB1*04:01:03 | | India Mumbai Maratha | | 0.0040 | | 91 | See | | | |
120,651 |
DRB1*04:02 | | Algeria | | 0.0300 | | 97 | See | | | |
120,652 |
DRB1*04:02 | | Algeria Oran | | 0.0810 | | 100 | See | | | |
120,653 |
DRB1*04:02 | | Algeria pop 2 | 8.0 | 0.0408 | | 106 | See | | | |
120,654 |
DRB1*04:02 | | Argentina Buenos Aires | 3.4 | 0.0170 | | 466 | See | | | |
120,655 |
DRB1*04:02 | | Argentina Chubut Tehuelche | | 0 | | 23 | See | | | |
120,656 |
DRB1*04:02 | | Argentina Gran Chaco Eastern Toba | | 0 | | 135 | See | | | |
120,657 |
DRB1*04:02 | | Argentina Gran Chaco Mataco Wichi | | 0 | | 49 | See | | | |
120,658 |
DRB1*04:02 | | Argentina Gran Chaco Western Toba Pilaga | | 0 | | 19 | See | | | |
120,659 |
DRB1*04:02 | | Argentina Rio Negro Mapuche | | 0 | | 34 | See | | | |
120,660 |
DRB1*04:02 | | Argentina Salta Wichi | | 0 | | 24 | See | | | |
120,661 |
DRB1*04:02 | | Armenia combined Regions | | 0.0450 | | 100 | See | | | |
120,662 |
DRB1*04:02 | | Austria | 0.5 | 0.0020 | | 200 | See | | | |
120,663 |
DRB1*04:02 | | Azores Central Islands | | 0.0270 | | 59 | See | | | |
120,664 |
DRB1*04:02 | | Azores Oriental Islands | | 0.0260 | | 43 | See | | | |
120,665 |
DRB1*04:02 | | Azores Terceira Island | | 0.0270 | | 130 | See | | | |
120,666 |
DRB1*04:02 | | Belgium | 1.0 | 0.0050 | | 99 | See | | | |
120,667 |
DRB1*04:02 | | Bolivia Quechua | | 0.0145 | | 69 | See | | |
|
120,668 |
DRB1*04:02 | | Brazil Paraná Caucasian | 2.5 | 0.0125 | | 641 | See | | |
|
120,669 |
DRB1*04:02 | | Brazil Puyanawa | 1.3 | 0.0070 | | 150 | See | | |
|
120,670 |
DRB1*04:02 | | Brazil Central Plateau Xavante | | 0 | | 74 | See | | | |
120,671 |
DRB1*04:02 | | Brazil Guarani M bya | | 0 | | 93 | See | | | |
120,672 |
DRB1*04:02 | | Brazil Guarani Nandeva | | 0.0060 | | 86 | See | | | |
120,673 |
DRB1*04:02 | | Brazil Kaingang | | 0 | | 235 | See | | | |
120,674 |
DRB1*04:02 | | Brazil Mato Grosso do Sul | | 0.0050 | | 203 | See | | | |
120,675 |
DRB1*04:02 | | Brazil Mixed | | 0.0150 | | 108 | See | | | |
120,676 |
DRB1*04:02 | | Brazil North East Mixed | | 0.0230 | | 205 | See | | | |
120,677 |
DRB1*04:02 | | Brazil South Caucasian | | 0.0417 | | 73 | See | | | |
120,678 |
DRB1*04:02 | | Brazil Southeast Caucasian | 2.9 | 0.0150 | | 103 | See | | | |
120,679 |
DRB1*04:02 | | Brazil Southeast Mixed Race | 2.4 | 0.0120 | | 42 | See | | | |
120,680 |
DRB1*04:02 | | Brazil Terena | 5.1 | 0.0250 | | 60 | See | | | |
120,681 |
DRB1*04:02 | | Brazil Vale do Ribeira Quilombos | 0.0100 | 0 | | 144 | See | | | |
120,682 |
DRB1*04:02 | | Bulgaria | | 0.0360 | | 55 | See | | | |
120,683 |
DRB1*04:02 | | Canada British Columbia Athabaskan | | 0 | | 62 | See | | | |
120,684 |
DRB1*04:02 | | Canada British Columbia Penutian | | 0 | | 26 | See | | | |
120,685 |
DRB1*04:02 | | Cape Verde Northwestern Islands | | 0.0160 | | 62 | See | | | |
120,686 |
DRB1*04:02 | | Cape Verde Southeastern Islands | | 0 | | 62 | See | | | |
120,687 |
DRB1*04:02 | | Central African Republic Aka Pygmy | 0.0 | 0 | | 93 | See | | | |
120,688 |
DRB1*04:02 | | Chile Huilliche NA-DHS_14 (G) | 5.0 (*) | 0.0250 (*) | | 20 | See | | |
|
120,689 |
DRB1*04:02 | | Chile Mapuche | | 0.0692 | | 66 | See | | |
|
120,690 |
DRB1*04:02 | | Chile Santiago | | 0.0127 | | 920 | See | | |
|
120,691 |
DRB1*04:02 | | Chile Santiago Mixed | 2.0 | 0.0100 | | 70 | See | | | |
120,692 |
DRB1*04:02 | | China Beijing and Xian | | 0.0090 | | 171 | See | | | |
120,693 |
DRB1*04:02 | | China Beijing Shijiazhuang Tianjian Han | | 0.0020 | | 618 | See | | | |
120,694 |
DRB1*04:02 | | China Canton Han | | 0.0020 | | 264 | See | | | |
120,695 |
DRB1*04:02 | | China Harbin Korean | | 0 | | 201 | See | | | |
120,696 |
DRB1*04:02 | | China Harbin Manchu | | 0.0230 | | 172 | See | | | |
120,697 |
DRB1*04:02 | | China Hong Kong and Singapore | | 0 | | 135 | See | | | |
120,698 |
DRB1*04:02 | | China Hubei Han | 0.2 | 0.0012 | | 3,732 | See | | |
|
120,699 |
DRB1*04:02 | | China Inner Mongolia Region Ewenki | | 0.0050 | | 94 | See | | | |
120,700 |
DRB1*04:02 | | China Jiangsu Han | | 0.0020 | | 3,238 | 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.