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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 |
139,601 |
DRB1*13 | | Pakistan Baloch | | 0.0280 | | 66 | See | | | |
139,602 |
DRB1*13 | | Pakistan Brahui | | 0.0350 | | 104 | See | | | |
139,603 |
DRB1*13 | | Pakistan Burusho | | 0.1400 | | 92 | See | | | |
139,604 |
DRB1*13 | | Pakistan Kalash | | 0.1300 | | 69 | See | | | |
139,605 |
DRB1*13 | | Pakistan Mixed Pathan | | 0.1000 | | 100 | See | | | |
139,606 |
DRB1*13 | | Pakistan Mixed Sindhi | | 0.1520 | | 101 | See | | | |
139,607 |
DRB1*13 | | Papua New Guinea East New Britain Tolai | | 0 | | 48 | See | | | |
139,608 |
DRB1*13 | | Papua New Guinea Highland pop2 | | 0 | | 28 | See | | | |
139,609 |
DRB1*13 | | Papua New Guinea Lowland Roro | | 0 | | 26 | See | | | |
139,610 |
DRB1*13 | | Papua New Guinea Trobriand Island | | 0 | | 81 | See | | | |
139,611 |
DRB1*13 | | Peru Arequipa Mestizo | 12.3 | 0.0630 | | 168 | See | | | |
139,612 |
DRB1*13 | | Poland Lodz | | 0.0920 | | 103 | See | | | |
139,613 |
DRB1*13 | | Poland pop 3 | 23.9 | 0.1200 | | 2,907 | See | | | |
139,614 |
DRB1*13 | | Portugal Aveiro | | 0.1510 | | 5,933 | See | | | |
139,615 |
DRB1*13 | | Portugal Beja | | 0.1710 | | 699 | See | | | |
139,616 |
DRB1*13 | | Portugal Braga | | 0.1510 | | 1,971 | See | | | |
139,617 |
DRB1*13 | | Portugal Bragança | | 0.1730 | | 301 | See | | | |
139,618 |
DRB1*13 | | Portugal Castelo Branco | | 0.1970 | | 327 | See | | | |
139,619 |
DRB1*13 | | Portugal Center pop 2 | | 0.1250 | | 562 | See | | | |
139,620 |
DRB1*13 | | Portugal Coimbra | | 0.1500 | | 5,057 | See | | | |
139,621 |
DRB1*13 | | Portugal Evora | | 0.1460 | | 737 | See | | | |
139,622 |
DRB1*13 | | Portugal Faro | | 0.1580 | | 1,242 | See | | | |
139,623 |
DRB1*13 | | Portugal Guarda | | 0.1620 | | 797 | See | | | |
139,624 |
DRB1*13 | | Portugal Leiria | | 0.1570 | | 1,847 | See | | | |
139,625 |
DRB1*13 | | Portugal Lisbon | | 0.1530 | | 17,420 | See | | | |
139,626 |
DRB1*13 | | Portugal North pop 2 | | 0.1593 | | 1,801 | See | | | |
139,627 |
DRB1*13 | | Portugal Portalegre | | 0.1590 | | 1,254 | See | | | |
139,628 |
DRB1*13 | | Portugal Porto | | 0.1440 | | 7,937 | See | | | |
139,629 |
DRB1*13 | | Portugal Santarem | | 0.1630 | | 3,865 | See | | | |
139,630 |
DRB1*13 | | Portugal Setubal | | 0.1560 | | 5,268 | See | | | |
139,631 |
DRB1*13 | | Portugal South pop 2 | | 0.1750 | | 1,021 | See | | | |
139,632 |
DRB1*13 | | Portugal Viana do Castelo | | 0.1460 | | 706 | See | | | |
139,633 |
DRB1*13 | | Portugal Vila Real | | 0.1470 | | 1,167 | See | | | |
139,634 |
DRB1*13 | | Portugal Viseu | | 0.1640 | | 2,915 | See | | | |
139,635 |
DRB1*13 | | Romania pop 2 | | 0.1500 | | 6,936 | See | | | |
139,636 |
DRB1*13 | | Romania pop 3 | 20.6 | 0.1062 | | 1,469 | See | | | |
139,637 |
DRB1*13 | | Russia Arkhangelsk | | 0.0990 | | 81 | See | | | |
139,638 |
DRB1*13 | | Russia Arkhangelsk Pomor | | 0.1090 | | 63 | See | | | |
139,639 |
DRB1*13 | | Russia Kostroma Region | | 0.1040 | | 126 | See | | | |
139,640 |
DRB1*13 | | Russia Mari | | 0.1040 | | 202 | See | | | |
139,641 |
DRB1*13 | | Russia Moscow | | 0.1390 | | 2,650 | See | | | |
139,642 |
DRB1*13 | | Russia Moscow Pop 2 | 26.0 | 0.1370 | | 2,000 | See | | | |
139,643 |
DRB1*13 | | Russia Murmansk Saomi Mixed | | 0.0920 | | 70 | See | | | |
139,644 |
DRB1*13 | | Russia Nenet Mixed | | 0.1180 | | 55 | See | | | |
139,645 |
DRB1*13 | | Russia North Ossetian | 38.6 | 0.2165 | | 127 | See | | |
|
139,646 |
DRB1*13 | | Russia Northwest | 23.7 | 0.1240 | | 1,011 | See | | | |
139,647 |
DRB1*13 | | Russia Northwest pop 3 | 31.0 | 0.1650 | | 100 | See | | | |
139,648 |
DRB1*13 | | Russia Northwest pop 2 | 23.7 | 0.1270 | | 346 | See | | | |
139,649 |
DRB1*13 | | Russia Samara Region | | 0.1340 | | 2,500 | See | | | |
139,650 |
DRB1*13 | | Russia Smolensk | | 0.1060 | | 156 | See | | | |
139,651 |
DRB1*13 | | Russia South Ural Bashkir | 27.4 | 0.1540 | | 146 | See | | | |
139,652 |
DRB1*13 | | Russia South Ural Russian | 24.2 | 0.1260 | | 207 | See | | | |
139,653 |
DRB1*13 | | Russia South Ural Tatar | 27.4 | 0.1440 | | 135 | See | | | |
139,654 |
DRB1*13 | | Russia Tatars | | 0.1154 | | 355 | See | | | |
139,655 |
DRB1*13 | | Russia Vologda | | 0.1490 | | 121 | See | | | |
139,656 |
DRB1*13 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 17.9 | 0.0940 | | 112 | See | | |
|
139,657 |
DRB1*13 | | Samoa West | | 0.0230 | | 22 | See | | | |
139,658 |
DRB1*13 | | Saudi Arabia pop 2 | | 0.1380 | | 383 | See | | | |
139,659 |
DRB1*13 | | Saudi Arabia pop 4 | 25.9 | 0.1439 | | 499 | See | | | |
139,660 |
DRB1*13 | | Serbia | | 0.1270 | | 386 | See | | | |
139,661 |
DRB1*13 | | Serbia pop 3 | 24.9 | 0.1323 | | 1,992 | See | | | |
139,662 |
DRB1*13 | | Serbia Vojvodina | 22.2 | 0.1160 | | 400 | See | | | |
139,663 |
DRB1*13 | | Slovakia | | 0.0800 | | 146 | See | | | |
139,664 |
DRB1*13 | | Slovakia pop 2 | | 0.1167 | | 4,234 | See | | | |
139,665 |
DRB1*13 | | South Korea pop 8 | | 0.1070 | | 7,096 | See | | | |
139,666 |
DRB1*13 | | Spain Andalusia Romani | | 0.0360 | | 99 | See | | | |
139,667 |
DRB1*13 | | Spain Ibiza | | 0.0690 | | 88 | See | | | |
139,668 |
DRB1*13 | | Spain Madrid | 29.0 | 0.1573 | | 504 | See | | | |
139,669 |
DRB1*13 | | Spain Majorca | | 0.0990 | | 407 | See | | | |
139,670 |
DRB1*13 | | Spain Majorcans Jews | | 0.0980 | | 103 | See | | | |
139,671 |
DRB1*13 | | Spain Malaga | 21.9 | 0.1162 | | 160 | See | | | |
139,672 |
DRB1*13 | | Spain Malaga Romani | 6.3 | 0.0320 | | 80 | See | | | |
139,673 |
DRB1*13 | | Spain Minorca | | 0.1300 | | 94 | See | | | |
139,674 |
DRB1*13 | | Spain North | 15.0 | 0.0780 | | 156 | See | | | |
139,675 |
DRB1*13 | | Spain Northwest | 26.0 | 0.1397 | | 1,818 | See | | | |
139,676 |
DRB1*13 | | Spain Northwest Lugo | 35.2 | 0.1950 | | 145 | See | | | |
139,677 |
DRB1*13 | | Spain Valencia | 24.1 | 0.1287 | | 577 | See | | | |
139,678 |
DRB1*13 | | Spain, Castilla y Leon, Northwest, | 26.2 | 0.1438 | | 1,743 | See | | |
|
139,679 |
DRB1*13 | | Sri Lanka Colombo Sinhalese | | 0.1440 | | 101 | See | | | |
139,680 |
DRB1*13 | | Sudan Central Shaigiya Mixed | 41.7 | 0.2364 | | 36 | See | | | |
139,681 |
DRB1*13 | | Sudan East Rashaida | 14.8 | 0.0769 | | 27 | See | | | |
139,682 |
DRB1*13 | | Sudan Khartoum | | 0.2551 | | 98 | See | | |
|
139,683 |
DRB1*13 | | Sudan Mixed | 44.0 | 0.2330 | | 200 | See | | | |
139,684 |
DRB1*13 | | Sudan South Nuba | 34.8 | 0.1925 | | 46 | See | | | |
139,685 |
DRB1*13 | | Sweden pop 4 | 25.7 | 0.1325 | | 966 | See | | | |
139,686 |
DRB1*13 | | Sweden pop 5 | | 0.1400 | | 1,569 | See | | | |
139,687 |
DRB1*13 | | Sweden Stockholm | 26.6 | 0.1430 | | 1,347 | See | | | |
139,688 |
DRB1*13 | | Taiwan Aborigine | | 0.0050 | | 111 | See | | | |
139,689 |
DRB1*13 | | Taiwan Aborigine pop 2 | | 0 | | 48 | See | | | |
139,690 |
DRB1*13 | | Taiwan Chinese immigrants from Middle China | | 0.0380 | | 211 | See | | | |
139,691 |
DRB1*13 | | Taiwan Chinese immigrants from North China | | 0.0630 | | 152 | See | | | |
139,692 |
DRB1*13 | | Taiwan Chinese immigrants from South China | | 0.0230 | | 172 | See | | | |
139,693 |
DRB1*13 | | Taiwan Hakka pop 2 | | 0.0380 | | 714 | See | | | |
139,694 |
DRB1*13 | | Taiwan Minnan pop 2 | | 0.0370 | | 7,137 | See | | | |
139,695 |
DRB1*13 | | Tanzania Dodoma Kongwa | | 0.1230 | | 212 | See | | | |
139,696 |
DRB1*13 | | Thailand pop 2 | | 0.0280 | | 124 | See | | | |
139,697 |
DRB1*13 | | Thailand pop 4 | | 0.0360 | | 16,807 | See | | | |
139,698 |
DRB1*13 | | Trinidad African | | 0.1600 | | 67 | See | | | |
139,699 |
DRB1*13 | | Trinidad South Asian | | 0.0900 | | 87 | See | | | |
139,700 |
DRB1*13 | | Turkey Ankara | | 0.0900 | | 50 | 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.