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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 |
| 1,601 |
A*02 |  | Myanmar Rakhine | 31.3 | 0.1563 |  | 48 | See |  |  |
|
| 1,602 |
A*02 |  | Myanmar Shan | 29.6 | 0.1481 |  | 54 | See |  |  |
|
| 1,603 |
A*02 |  | Nigeria | 31.4 | 0.1783 |  | 258 | See |  |  | |
| 1,604 |
A*02 |  | Norway ethnic Norwegians | 55.1 | 0.3300 |  | 4,510 | See |  |  |
|
| 1,605 |
A*02 |  | Norway pop 2 | | 0.3430 |  | 576 | See |  |  | |
| 1,606 |
A*02 |  | Norway Sami | | 0.2730 |  | 200 | See |  |  | |
| 1,607 |
A*02 |  | Pakistan Burusho | | 0.1250 |  | 92 | See |  |  | |
| 1,608 |
A*02 |  | Pakistan Mixed Sindhi | | 0.1650 |  | 101 | See |  |  | |
| 1,609 |
A*02 |  | Peru Arequipa Mestizo | 79.1 | 0.5450 |  | 168 | See |  |  | |
| 1,610 |
A*02 |  | Peru Lamas City Lama | | 0.6340 |  | 83 | See |  |  | |
| 1,611 |
A*02 |  | Philippines National Capital Region | | 0.0690 |  | 51 | See |  |  |
|
| 1,612 |
A*02 |  | Poland pop 3 | 53.6 | 0.2708 |  | 2,907 | See |  |  | |
| 1,613 |
A*02 |  | Portugal Aveiro | | 0.2820 |  | 5,933 | See |  |  | |
| 1,614 |
A*02 |  | Portugal Beja | | 0.3030 |  | 699 | See |  |  | |
| 1,615 |
A*02 |  | Portugal Braga | | 0.2770 |  | 1,971 | See |  |  | |
| 1,616 |
A*02 |  | Portugal Bragança | | 0.2910 |  | 301 | See |  |  | |
| 1,617 |
A*02 |  | Portugal Castelo Branco | | 0.2710 |  | 327 | See |  |  | |
| 1,618 |
A*02 |  | Portugal Center pop 2 | | 0.2700 |  | 562 | See |  |  | |
| 1,619 |
A*02 |  | Portugal Coimbra | | 0.2840 |  | 5,057 | See |  |  | |
| 1,620 |
A*02 |  | Portugal Evora | | 0.2780 |  | 737 | See |  |  | |
| 1,621 |
A*02 |  | Portugal Faro | | 0.2950 |  | 1,242 | See |  |  | |
| 1,622 |
A*02 |  | Portugal Guarda | | 0.2650 |  | 797 | See |  |  | |
| 1,623 |
A*02 |  | Portugal Leiria | | 0.2800 |  | 1,847 | See |  |  | |
| 1,624 |
A*02 |  | Portugal Lisbon | | 0.2790 |  | 17,420 | See |  |  | |
| 1,625 |
A*02 |  | Portugal North pop 2 | | 0.2721 |  | 1,801 | See |  |  | |
| 1,626 |
A*02 |  | Portugal Portalegre | | 0.2700 |  | 1,254 | See |  |  | |
| 1,627 |
A*02 |  | Portugal Porto | | 0.2630 |  | 7,937 | See |  |  | |
| 1,628 |
A*02 |  | Portugal Santarem | | 0.2760 |  | 3,865 | See |  |  | |
| 1,629 |
A*02 |  | Portugal Setubal | | 0.2770 |  | 5,268 | See |  |  | |
| 1,630 |
A*02 |  | Portugal South pop 2 | | 0.2750 |  | 1,021 | See |  |  | |
| 1,631 |
A*02 |  | Portugal Viana do Castelo | | 0.2680 |  | 706 | See |  |  | |
| 1,632 |
A*02 |  | Portugal Vila Real | | 0.2740 |  | 1,167 | See |  |  | |
| 1,633 |
A*02 |  | Portugal Viseu | | 0.2840 |  | 2,915 | See |  |  | |
| 1,634 |
A*02 |  | Romania | 46.0 | 0.2610 |  | 348 | See |  |  | |
| 1,635 |
A*02 |  | Romania pop 2 | | 0.2600 |  | 6,936 | See |  |  | |
| 1,636 |
A*02 |  | Romania pop 3 | 50.1 | 0.2832 |  | 1,469 | See |  |  | |
| 1,637 |
A*02 |  | Russia Belgorod region | 1.3 | 0.0065 |  | 153 | See |  |  |
|
| 1,638 |
A*02 |  | Russia Arkhangelsk Pomor | | 0.2600 |  | 63 | See |  |  | |
| 1,639 |
A*02 |  | Russia Chuvash | | 0.2500 |  | 82 | See |  |  | |
| 1,640 |
A*02 |  | Russia Moscow | | 0.2880 |  | 2,650 | See |  |  | |
| 1,641 |
A*02 |  | Russia Moscow Pop 2 | 50.0 | 0.2948 |  | 2,000 | See |  |  | |
| 1,642 |
A*02 |  | Russia Murmansk Saomi Mixed | | 0.2600 |  | 70 | See |  |  | |
| 1,643 |
A*02 |  | Russia Nenet Mixed | | 0.2610 |  | 55 | See |  |  | |
| 1,644 |
A*02 |  | Russia North Ossetian | 44.1 | 0.2480 |  | 127 | See |  |  |
|
| 1,645 |
A*02 |  | Russia Northwest | 52.3 | 0.3093 |  | 1,011 | See |  |  | |
| 1,646 |
A*02 |  | Russia Northwest pop 3 | 54.0 | 0.2950 |  | 100 | See |  |  | |
| 1,647 |
A*02 |  | Russia Northwest pop 2 | 51.2 | 0.3010 |  | 346 | See |  |  | |
| 1,648 |
A*02 |  | Russia Sakhalin Island Nivkhi | | 0.2830 |  | 53 | See |  |  | |
| 1,649 |
A*02 |  | Russia Samara Region | | 0.2780 |  | 2,500 | See |  |  | |
| 1,650 |
A*02 |  | Russia South Ural Bashkir | 58.2 | 0.3360 |  | 146 | See |  |  | |
| 1,651 |
A*02 |  | Russia South Ural Russian | 51.7 | 0.2970 |  | 207 | See |  |  | |
| 1,652 |
A*02 |  | Russia South Ural Tatar | 48.9 | 0.2740 |  | 135 | See |  |  | |
| 1,653 |
A*02 |  | Russia Tatars | | 0.2450 |  | 355 | See |  |  | |
| 1,654 |
A*02 |  | Russia Transbaikal Territory Buryats | 43.0 | 0.2470 |  | 150 | See |  |  |
|
| 1,655 |
A*02 |  | Russia, South Ural, Chelyabinsk region, Nagaybaks | 36.6 | 0.2190 |  | 112 | See |  |  |
|
| 1,656 |
A*02 |  | Rwanda | | 0.2180 |  | 280 | See |  |  | |
| 1,657 |
A*02 |  | Saudi Arabia | 33.3 | 0.1833 |  | 18 | See |  |  | |
| 1,658 |
A*02 |  | Saudi Arabia pop 2 | | 0.3040 |  | 383 | See |  |  | |
| 1,659 |
A*02 |  | Saudi Arabia pop 4 | 49.3 | 0.2886 |  | 499 | See |  |  | |
| 1,660 |
A*02 |  | Scotland Orkney | 54.0 | 0.3100 |  | 99 | See |  |  | |
| 1,661 |
A*02 |  | Serbia | | 0.2500 |  | 386 | See |  |  | |
| 1,662 |
A*02 |  | Serbia pop 3 | 51.0 | 0.2947 |  | 1,992 | See |  |  | |
| 1,663 |
A*02 |  | Serbia Vojvodina | 51.2 | 0.3070 |  | 400 | See |  |  | |
| 1,664 |
A*02 |  | Slovakia pop 2 | | 0.2399 |  | 4,234 | See |  |  | |
| 1,665 |
A*02 |  | Slovenia pop 3 | 45.4 | 0.2610 |  | 130 | See |  |  | |
| 1,666 |
A*02 |  | South Africa Natal Zulu | 23.0 | 0.1150 |  | 100 | See |  |  | |
| 1,667 |
A*02 |  | South Africa Tswana | 24.4 | 0.1460 |  | 41 | See |  |  | |
| 1,668 |
A*02 |  | South Korea pop 1 | | 0.2750 |  | 324 | See |  |  | |
| 1,669 |
A*02 |  | South Korea pop 8 | | 0.2920 |  | 7,096 | See |  |  | |
| 1,670 |
A*02 |  | Spain Andalusia | | 0.2230 |  | 99 | See |  |  | |
| 1,671 |
A*02 |  | Spain Andalusia Romani | | 0.1620 |  | 99 | See |  |  | |
| 1,672 |
A*02 |  | Spain Arratia Valley Basque | | 0.1600 |  | 83 | See |  |  | |
| 1,673 |
A*02 |  | Spain Ibiza | | 0.2990 |  | 88 | See |  |  | |
| 1,674 |
A*02 |  | Spain Majorca | | 0.3120 |  | 407 | See |  |  | |
| 1,675 |
A*02 |  | Spain Majorca and Minorca | | 0.2640 |  | 90 | See |  |  | |
| 1,676 |
A*02 |  | Spain Majorcans Jews | | 0.1650 |  | 103 | See |  |  | |
| 1,677 |
A*02 |  | Spain Minorca | | 0.3480 |  | 94 | See |  |  | |
| 1,678 |
A*02 |  | Spain Murcia | | 0.2300 |  | 173 | See |  |  | |
| 1,679 |
A*02 |  | Spain North Cabuerniga | | 0.2050 |  | 95 | See |  |  | |
| 1,680 |
A*02 |  | Spain North Cantabria | | 0.2710 |  | 83 | See |  |  | |
| 1,681 |
A*02 |  | Spain Pas Valley | | 0.2930 |  | 88 | See |  |  | |
| 1,682 |
A*02 |  | Spain Sevilla | 44.6 | 0.2626 |  | 278 | See |  |  | |
| 1,683 |
A*02 |  | Spain, Castilla y Leon, Northwest, | 48.5 | 0.2718 |  | 1,743 | See |  |  |
|
| 1,684 |
A*02 |  | Sudan Khartoum | | 0.3265 |  | 98 | See |  |  |
|
| 1,685 |
A*02 |  | Sudan South Nuba | 47.8 | 0.2775 |  | 46 | See |  |  | |
| 1,686 |
A*02 |  | Sweden pop 4 | 55.2 | 0.3287 |  | 966 | See |  |  | |
| 1,687 |
A*02 |  | Sweden Stockholm | 58.1 | 0.3590 |  | 1,347 | See |  |  | |
| 1,688 |
A*02 |  | Sweden Uppsala | 57.6 | 0.3488 |  | 300 | See |  |  | |
| 1,689 |
A*02 |  | Switzerland Aargau-Solothurn | | 0.3472 |  | 1,838 | See |  |  | |
| 1,690 |
A*02 |  | Switzerland Basel | | 0.2972 |  | 1,888 | See |  |  | |
| 1,691 |
A*02 |  | Switzerland Bern | | 0.2750 |  | 3,545 | See |  |  | |
| 1,692 |
A*02 |  | Switzerland Geneva pop 2 | | 0.2476 |  | 1,267 | See |  |  | |
| 1,693 |
A*02 |  | Switzerland Graubunden | | 0.2921 |  | 759 | See |  |  | |
| 1,694 |
A*02 |  | Switzerland Lausanne | | 0.2594 |  | 993 | See |  |  | |
| 1,695 |
A*02 |  | Switzerland Lugano | | 0.2990 |  | 1,169 | See |  |  | |
| 1,696 |
A*02 |  | Switzerland Luzern | | 0.2848 |  | 1,553 | See |  |  | |
| 1,697 |
A*02 |  | Switzerland Sion | | 0.2411 |  | 832 | See |  |  | |
| 1,698 |
A*02 |  | Switzerland St Gallen | | 0.3300 |  | 2,113 | See |  |  | |
| 1,699 |
A*02 |  | Switzerland Zurich | | 0.2618 |  | 4,875 | See |  |  | |
| 1,700 |
A*02 |  | Taiwan Aborigine | | 0.1310 |  | 111 | 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.
| Displaying 1,601 to 1,700
(from 162,565) records |
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