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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 |
133,601 |
DRB1*11 | | Portugal Portalegre | | 0.1150 | | 1,254 | See | | | |
133,602 |
DRB1*11 | | Portugal Porto | | 0.1090 | | 7,937 | See | | | |
133,603 |
DRB1*11 | | Portugal Santarem | | 0.1060 | | 3,865 | See | | | |
133,604 |
DRB1*11 | | Portugal Setubal | | 0.1140 | | 5,268 | See | | | |
133,605 |
DRB1*11 | | Portugal South pop 2 | | 0.1110 | | 1,021 | See | | | |
133,606 |
DRB1*11 | | Portugal Viana do Castelo | | 0.0910 | | 706 | See | | | |
133,607 |
DRB1*11 | | Portugal Vila Real | | 0.0970 | | 1,167 | See | | | |
133,608 |
DRB1*11 | | Portugal Viseu | | 0.0920 | | 2,915 | See | | | |
133,609 |
DRB1*11 | | Romania pop 2 | | 0.1900 | | 6,936 | See | | | |
133,610 |
DRB1*11 | | Romania pop 3 | 40.1 | 0.2158 | | 1,469 | See | | | |
133,611 |
DRB1*11 | | Russia Arkhangelsk | | 0.0550 | | 81 | See | | | |
133,612 |
DRB1*11 | | Russia Arkhangelsk Pomor | | 0.0580 | | 63 | See | | | |
133,613 |
DRB1*11 | | Russia Kostroma Region | | 0.0600 | | 126 | See | | | |
133,614 |
DRB1*11 | | Russia Moscow | | 0.1300 | | 2,650 | See | | | |
133,615 |
DRB1*11 | | Russia Moscow Pop 2 | 26.7 | 0.1438 | | 2,000 | See | | | |
133,616 |
DRB1*11 | | Russia Murmansk Saomi Mixed | | 0.0430 | | 70 | See | | | |
133,617 |
DRB1*11 | | Russia Nenet Mixed | | 0.0180 | | 55 | See | | | |
133,618 |
DRB1*11 | | Russia North Ossetian | 32.3 | 0.1732 | | 127 | See | | |
|
133,619 |
DRB1*11 | | Russia Northwest | 22.3 | 0.1140 | | 1,011 | See | | | |
133,620 |
DRB1*11 | | Russia Northwest pop 3 | 20.0 | 0.1100 | | 100 | See | | | |
133,621 |
DRB1*11 | | Russia Northwest pop 2 | 22.3 | 0.1190 | | 346 | See | | | |
133,622 |
DRB1*11 | | Russia Samara Region | | 0.1250 | | 2,500 | See | | | |
133,623 |
DRB1*11 | | Russia Smolensk | | 0.1730 | | 156 | See | | | |
133,624 |
DRB1*11 | | Russia South Ural Bashkir | 11.6 | 0.0620 | | 146 | See | | | |
133,625 |
DRB1*11 | | Russia South Ural Russian | 18.8 | 0.0970 | | 207 | See | | | |
133,626 |
DRB1*11 | | Russia South Ural Tatar | 20.0 | 0.1040 | | 135 | See | | | |
133,627 |
DRB1*11 | | Russia Tatars | | 0.1084 | | 355 | See | | | |
133,628 |
DRB1*11 | | Russia Vologda | | 0.0950 | | 121 | See | | | |
133,629 |
DRB1*11 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 16.1 | 0.0850 | | 112 | See | | |
|
133,630 |
DRB1*11 | | Saudi Arabia pop 2 | | 0.0780 | | 383 | See | | | |
133,631 |
DRB1*11 | | Saudi Arabia pop 4 | 15.8 | 0.0904 | | 499 | See | | | |
133,632 |
DRB1*11 | | Serbia | | 0.1480 | | 386 | See | | | |
133,633 |
DRB1*11 | | Serbia pop 3 | 31.0 | 0.1689 | | 1,992 | See | | | |
133,634 |
DRB1*11 | | Serbia Vojvodina | 27.7 | 0.1580 | | 400 | See | | | |
133,635 |
DRB1*11 | | Slovakia | | 0.2040 | | 146 | See | | | |
133,636 |
DRB1*11 | | Slovakia pop 2 | | 0.1489 | | 4,234 | See | | | |
133,637 |
DRB1*11 | | South Africa Limpopo Venda | | 0.1840 | | 117 | See | | | |
133,638 |
DRB1*11 | | South Korea pop 8 | | 0.0450 | | 7,096 | See | | | |
133,639 |
DRB1*11 | | Spain Andalusia Romani | | 0.0870 | | 99 | See | | | |
133,640 |
DRB1*11 | | Spain Catalonia Girona | | 0 | | 88 | See | | | |
133,641 |
DRB1*11 | | Spain Gipuzkoa Basque | | 0 | | 100 | See | | | |
133,642 |
DRB1*11 | | Spain Ibiza | | 0.2080 | | 88 | See | | | |
133,643 |
DRB1*11 | | Spain Madrid | 24.0 | 0.1282 | | 504 | See | | | |
133,644 |
DRB1*11 | | Spain Majorca | | 0.1510 | | 407 | See | | | |
133,645 |
DRB1*11 | | Spain Majorcans Jews | | 0.2360 | | 103 | See | | | |
133,646 |
DRB1*11 | | Spain Malaga | 25.6 | 0.1374 | | 160 | See | | | |
133,647 |
DRB1*11 | | Spain Malaga Romani | 15.0 | 0.0780 | | 80 | See | | | |
133,648 |
DRB1*11 | | Spain Minorca | | 0.1450 | | 94 | See | | | |
133,649 |
DRB1*11 | | Spain North | 10.0 | 0.0513 | | 156 | See | | | |
133,650 |
DRB1*11 | | Spain Northwest | 23.6 | 0.1259 | | 1,818 | See | | | |
133,651 |
DRB1*11 | | Spain Northwest Lugo | 22.8 | 0.1213 | | 145 | See | | | |
133,652 |
DRB1*11 | | Spain Valencia | 24.1 | 0.1287 | | 577 | See | | | |
133,653 |
DRB1*11 | | Spain, Castilla y Leon, Northwest, | 21.6 | 0.1244 | | 1,743 | See | | |
|
133,654 |
DRB1*11 | | Sri Lanka Colombo Sinhalese | | 0.0250 | | 101 | See | | | |
133,655 |
DRB1*11 | | Sudan Central Shaigiya Mixed | 8.3 | 0.0424 | | 36 | See | | | |
133,656 |
DRB1*11 | | Sudan East Rashaida | 11.1 | 0.0571 | | 27 | See | | | |
133,657 |
DRB1*11 | | Sudan Khartoum | | 0.1327 | | 98 | See | | |
|
133,658 |
DRB1*11 | | Sudan South Nuba | 56.5 | 0.3404 | | 46 | See | | | |
133,659 |
DRB1*11 | | Sweden pop 4 | 13.5 | 0.0694 | | 966 | See | | | |
133,660 |
DRB1*11 | | Sweden pop 5 | | 0.0590 | | 1,569 | See | | | |
133,661 |
DRB1*11 | | Sweden Stockholm | 11.4 | 0.0590 | | 1,347 | See | | | |
133,662 |
DRB1*11 | | Taiwan Aborigine | | 0.0800 | | 111 | See | | | |
133,663 |
DRB1*11 | | Taiwan Chinese immigrants from Middle China | | 0.0740 | | 211 | See | | | |
133,664 |
DRB1*11 | | Taiwan Chinese immigrants from North China | | 0.0410 | | 152 | See | | | |
133,665 |
DRB1*11 | | Taiwan Chinese immigrants from South China | | 0.0550 | | 172 | See | | | |
133,666 |
DRB1*11 | | Taiwan Hakka pop 2 | | 0.0960 | | 714 | See | | | |
133,667 |
DRB1*11 | | Taiwan Minnan pop 2 | | 0.0800 | | 7,137 | See | | | |
133,668 |
DRB1*11 | | Tanzania Dodoma Kongwa | | 0.3210 | | 212 | See | | | |
133,669 |
DRB1*11 | | Thailand pop 2 | | 0.0560 | | 124 | See | | | |
133,670 |
DRB1*11 | | Thailand pop 4 | | 0.0570 | | 16,807 | See | | | |
133,671 |
DRB1*11 | | Trinidad African | | 0.1000 | | 67 | See | | | |
133,672 |
DRB1*11 | | Trinidad South Asian | | 0.0900 | | 87 | See | | | |
133,673 |
DRB1*11 | | Turkey Ankara | | 0.1500 | | 50 | See | | | |
133,674 |
DRB1*11 | | Turkey Istanbul | 38.4 | 0.2151 | | 250 | See | | | |
133,675 |
DRB1*11 | | Turkey pop 2 | | 0.3540 | | 228 | See | | | |
133,676 |
DRB1*11 | | United Arab Emirates pop 2 | 17.2 | 0.0900 | | 373 | See | | | |
133,677 |
DRB1*11 | | United Kingdom Central | | 0.0940 | | 135 | See | | | |
133,678 |
DRB1*11 | | United Kingdom East | | 0.0849 | | 163 | See | | | |
133,679 |
DRB1*11 | | United Kingdom North | | 0.0550 | | 330 | See | | | |
133,680 |
DRB1*11 | | United Kingdom Orkney | | 0.0429 | | 88 | See | | | |
133,681 |
DRB1*11 | | United Kingdom pop 2 | | 0.1240 | | 101 | See | | | |
133,682 |
DRB1*11 | | United Kingdom South West | | 0.0654 | | 163 | See | | | |
133,683 |
DRB1*11 | | USA OPTN African American | | 0.1260 | | 1,510 | See | | | |
133,684 |
DRB1*11 | | USA OPTN Asian | | 0.0710 | | 261 | See | | | |
133,685 |
DRB1*11 | | USA OPTN Caucasian | | 0.0940 | | 8,525 | See | | | |
133,686 |
DRB1*11 | | USA OPTN Hispanic | | 0.0740 | | 1,580 | See | | | |
133,687 |
DRB1*11 | | USA Southeast African American | 24.1 | 0.1200 | | 112 | See | | | |
133,688 |
DRB1*11 | | Venezuela Valencia and Maracaibo Caracus Mixed | | 0.0940 | | 96 | See | | | |
133,689 |
DRB1*11 | | Venezuela Zulia Maracaibo Mixed | | 0.2000 | | 20 | See | | | |
133,690 |
DRB1*11 | | Vietnam Hanoi | | 0.0100 | | 50 | See | | | |
133,691 |
DRB1*11 | | Wales | 10.2 | 0.0530 | | 1,798 | See | | | |
133,692 |
DRB1*11 | | Wales pop 2 | 11.2 | 0.0580 | | 39,979 | See | | | |
133,693 |
DRB1*11:01 | | Algeria | | 0.0510 | | 97 | See | | | |
133,694 |
DRB1*11:01 | | Algeria Oran | | 0.0860 | | 100 | See | | | |
133,695 |
DRB1*11:01 | | Algeria pop 2 | 10.0 | 0.0513 | | 106 | See | | | |
133,696 |
DRB1*11:01 | | Argentina Buenos Aires | 12.1 | 0.0630 | | 466 | See | | | |
133,697 |
DRB1*11:01 | | Argentina Chubut Tehuelche | | 0.0220 | | 23 | See | | | |
133,698 |
DRB1*11:01 | | Argentina Gran Chaco Eastern Toba | | 0 | | 135 | See | | | |
133,699 |
DRB1*11:01 | | Argentina Gran Chaco Mataco Wichi | | 0 | | 49 | See | | | |
133,700 |
DRB1*11:01 | | Argentina Gran Chaco Western Toba Pilaga | | 0 | | 19 | 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.