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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 |
| 1,701 |
A*02 |  | Taiwan Chinese immigrants from Middle China | | 0.3280 |  | 211 | See |  |  | |
| 1,702 |
A*02 |  | Taiwan Chinese immigrants from North China | | 0.2880 |  | 152 | See |  |  | |
| 1,703 |
A*02 |  | Taiwan Chinese immigrants from South China | | 0.3230 |  | 172 | See |  |  | |
| 1,704 |
A*02 |  | Taiwan Hakka pop 2 | | 0.3160 |  | 714 | See |  |  | |
| 1,705 |
A*02 |  | Taiwan Minnan and Hakka | | 0.2960 |  | 190 | See |  |  | |
| 1,706 |
A*02 |  | Taiwan Minnan pop 2 | | 0.3170 |  | 7,137 | See |  |  | |
| 1,707 |
A*02 |  | Thailand Northeast pop 2 | | 0.2550 |  | 400 | See |  |  | |
| 1,708 |
A*02 |  | Thailand pop 4 | | 0.2920 |  | 16,807 | See |  |  | |
| 1,709 |
A*02 |  | Trinidad African | | 0.1400 |  | 67 | See |  |  | |
| 1,710 |
A*02 |  | Trinidad South Asian | | 0.1100 |  | 87 | See |  |  | |
| 1,711 |
A*02 |  | Tunisia Ghannouch | | 0.1460 |  | 82 | See |  |  | |
| 1,712 |
A*02 |  | Tunisia pop 3 | | 0.1810 |  | 104 | See |  |  | |
| 1,713 |
A*02 |  | Turkey pop 2 | | 0.2190 |  | 228 | See |  |  | |
| 1,714 |
A*02 |  | Turkey pop 5 | | 0.3020 |  | 142 | See |  |  | |
| 1,715 |
A*02 |  | United Arab Emirates pop 2 | 44.0 | 0.2520 |  | 373 | See |  |  | |
| 1,716 |
A*02 |  | United Kingdom Central | | 0.2697 |  | 135 | See |  |  | |
| 1,717 |
A*02 |  | United Kingdom East | | 0.3037 |  | 163 | See |  |  | |
| 1,718 |
A*02 |  | United Kingdom North | | 0.2708 |  | 330 | See |  |  | |
| 1,719 |
A*02 |  | United Kingdom Orkney | | 0.2914 |  | 88 | See |  |  | |
| 1,720 |
A*02 |  | United Kingdom pop 2 | | 0.2700 |  | 101 | See |  |  | |
| 1,721 |
A*02 |  | United Kingdom South West | | 0.3067 |  | 163 | See |  |  | |
| 1,722 |
A*02 |  | USA Caucasian | 49.6 | 0.2900 |  | 61,655 | See |  |  | |
| 1,723 |
A*02 |  | USA OPTN African American | | 0.1850 |  | 1,510 | See |  |  | |
| 1,724 |
A*02 |  | USA OPTN Asian | | 0.2700 |  | 261 | See |  |  | |
| 1,725 |
A*02 |  | USA OPTN Caucasian | | 0.2930 |  | 8,525 | See |  |  | |
| 1,726 |
A*02 |  | USA OPTN Hispanic | | 0.2780 |  | 1,580 | See |  |  | |
| 1,727 |
A*02 |  | Venezuela Caracas Mestizo | | 0.3400 |  | 50 | See |  |  | |
| 1,728 |
A*02 |  | Venezuela Colonia Tovar | | 0.2151 |  | 86 | See |  |  | |
| 1,729 |
A*02 |  | Venezuela Valencia and Maracaibo Caracus Mixed | | 0.2290 |  | 96 | See |  |  | |
| 1,730 |
A*02 |  | Venezuela Zulia Maracaibo Mixed | | 0.3000 |  | 20 | See |  |  | |
| 1,731 |
A*02 |  | Venezuela Zulia San Jose de Heras Mixed | | 0.2250 |  | 20 | See |  |  | |
| 1,732 |
A*02 |  | Vietnam Hanoi | | 0.2500 |  | 50 | See |  |  | |
| 1,733 |
A*02 |  | Wales | 51.3 | 0.3020 |  | 1,798 | See |  |  | |
| 1,734 |
A*02 |  | Wales pop 2 | 49.8 | 0.2920 |  | 39,979 | See |  |  | |
| 1,735 |
A*02:01:170 |  | Latvia | | 0.0019 |  | 266 | See |  |  |
|
| 1,736 |
A*02:01:216 |  | Latvia | | 0.0038 |  | 266 | See |  |  |
|
| 1,737 |
A*02:01:204 |  | Russia Moscow Bashkir | 0.2 | 0.0011 |  | 442 | See |  |  | |
| 1,738 |
A*02:01:170 |  | Russia Moscow Buryat | 0.7 | 0.0034 |  | 149 | See |  |  | |
| 1,739 |
A*02:01:170 |  | Russia Moscow Kabardin | 0.1 | 0.0006 |  | 834 | See |  |  | |
| 1,740 |
A*02:01:185 |  | Russia Moscow Kalmyk | 0.8 | 0.0042 |  | 120 | See |  |  | |
| 1,741 |
A*02:01:170 |  | Russia Moscow Kazakh | 0.3 | 0.0017 |  | 299 | See |  |  | |
| 1,742 |
A*02:01:178 |  | Russia Moscow Kazakh | 0.3 | 0.0017 |  | 299 | See |  |  | |
| 1,743 |
A*02:01:199 |  | Russia Moscow Kazakh | 0.3 | 0.0017 |  | 299 | See |  |  | |
| 1,744 |
A*02:01:180 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 1,745 |
A*02:01:187 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 1,746 |
A*02:01:192 |  | Russia Moscow Russians | 0.0152 | 0.0000760 |  | 13,147 | See |  |  | |
| 1,747 |
A*02:01:199 |  | Russia Moscow Russians | 0.0685 | 0.0003 |  | 13,147 | See |  |  | |
| 1,748 |
A*02:01:202 |  | Russia Moscow Russians | 0.0152 | 0.0000760 |  | 13,147 | See |  |  | |
| 1,749 |
A*02:01:203 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 1,750 |
A*02:01:170 |  | Russia Moscow Russians | 0.3 | 0.0014 |  | 13,147 | See |  |  | |
| 1,751 |
A*02:01:174 |  | Russia Moscow Russians | 0.0076 | 0.0000380 |  | 13,147 | See |  |  | |
| 1,752 |
A*02:01:178 |  | Russia Moscow Russians | 0.0761 | 0.0004 |  | 13,147 | See |  |  | |
| 1,753 |
A*02:01:179 |  | Russia Moscow Russians | 0.0152 | 0.0000760 |  | 13,147 | See |  |  | |
| 1,754 |
A*02:01:170 |  | Russia Moscow Tatars | 0.2 | 0.0010 |  | 2,512 | See |  |  | |
| 1,755 |
A*02:01:175 |  | Russia Moscow Tatars | 0.0398 | 0.0002 |  | 2,512 | See |  |  | |
| 1,756 |
A*02:01:179 |  | Russia Moscow Tatars | 0.0398 | 0.0002 |  | 2,512 | See |  |  | |
| 1,757 |
A*02:01:199 |  | Russia Moscow Tatars | 0.0398 | 0.0002 |  | 2,512 | See |  |  | |
| 1,758 |
A*02:01 |  | American Samoa | | 0.1300 |  | 51 | See |  |  | |
| 1,759 |
A*02:01 |  | Argentina Gran Chaco Eastern Toba | 46.4 | 0.3040 |  | 135 | See |  |  | |
| 1,760 |
A*02:01 |  | Argentina Gran Chaco Mataco Wichi | 40.9 | 0.2160 |  | 49 | See |  |  | |
| 1,761 |
A*02:01 |  | Argentina Gran Chaco Western Toba Pilaga | 60.0 | 0.4000 |  | 19 | See |  |  | |
| 1,762 |
A*02:01 |  | Argentina Rosario Toba | 34.9 | 0.1920 |  | 86 | See |  |  | |
| 1,763 |
A*02:01 |  | Armenia combined Regions | | 0.1550 |  | 100 | See |  |  | |
| 1,764 |
A*02:01 |  | Australia Cape York Peninsula Aborigine | | 0.1750 |  | 103 | See |  |  | |
| 1,765 |
A*02:01 |  | Australia Groote Eylandt Aborigine | | 0.1070 |  | 75 | See |  |  | |
| 1,766 |
A*02:01 |  | Australia Kimberly Aborigine | | 0.1110 |  | 41 | See |  |  | |
| 1,767 |
A*02:01 |  | Australia New South Wales Caucasian | | 0.2610 |  | 134 | See |  |  | |
| 1,768 |
A*02:01 |  | Australia Yuendumu Aborigine | | 0.1130 |  | 191 | See |  |  | |
| 1,769 |
A*02:01 |  | Austria | 48.0 | 0.2940 |  | 200 | See |  |  | |
| 1,770 |
A*02:01 |  | Azores Central Islands | | 0.2590 |  | 59 | See |  |  | |
| 1,771 |
A*02:01 |  | Azores Oriental Islands | | 0.2560 |  | 43 | See |  |  | |
| 1,772 |
A*02:01 |  | Azores Terceira Island | | 0.2330 |  | 130 | See |  |  | |
| 1,773 |
A*02:01 |  | Belgium | 50.0 | 0.2660 |  | 99 | See |  |  | |
| 1,774 |
A*02:01 |  | Belgium pop 3 | 45.1 | 0.2591 |  | 31,412 | See |  |  |
|
| 1,775 |
A*02:01 |  | Brazil Puyanawa | 54.0 | 0.2970 |  | 150 | See |  |  |
|
| 1,776 |
A*02:01 |  | Brazil Belo Horizonte Caucasian | 43.2 | 0.2370 |  | 95 | See |  |  | |
| 1,777 |
A*02:01 |  | Brazil Mixed | | 0.1920 |  | 108 | See |  |  | |
| 1,778 |
A*02:01 |  | Brazil Terena | 38.3 | 0.2080 |  | 60 | See |  |  | |
| 1,779 |
A*02:01 |  | Brazil Vale do Ribeira Quilombos | 0.1 | 0 |  | 144 | See |  |  | |
| 1,780 |
A*02:01 |  | Bulgaria Romani | | 0.2080 |  | 13 | See |  |  | |
| 1,781 |
A*02:01 |  | Burkina Faso Fulani | | 0.0510 |  | 49 | See |  |  | |
| 1,782 |
A*02:01 |  | Burkina Faso Rimaibe | | 0.1380 |  | 47 | See |  |  | |
| 1,783 |
A*02:01 |  | Cameroon Baka Pygmy | | 0 |  | 10 | See |  |  | |
| 1,784 |
A*02:01 |  | Cameroon Bamileke | | 0.0110 |  | 77 | See |  |  | |
| 1,785 |
A*02:01 |  | Cameroon Beti | | 0.1120 |  | 174 | See |  |  | |
| 1,786 |
A*02:01 |  | Cameroon Sawa | | 0.0380 |  | 13 | See |  |  | |
| 1,787 |
A*02:01 |  | Cameroon Yaounde | | 0.0710 |  | 92 | See |  |  | |
| 1,788 |
A*02:01 |  | Chile Easter Island | | 0.0950 |  | 21 | See |  |  | |
| 1,789 |
A*02:01 |  | Chile Mapuche | | 0.2238 |  | 66 | See |  |  |
|
| 1,790 |
A*02:01 |  | Chile Santiago Mixed | 30.0 | 0.1633 |  | 70 | See |  |  | |
| 1,791 |
A*02:01 |  | China Beijing | | 0.1870 |  | 67 | See |  |  | |
| 1,792 |
A*02:01 |  | China Beijing Shijiazhuang Tianjian Han | | 0.1580 |  | 618 | See |  |  | |
| 1,793 |
A*02:01 |  | China Canton Han | | 0.1530 |  | 264 | See |  |  | |
| 1,794 |
A*02:01 |  | China Guangxi Region Maonan | | 0.0460 |  | 108 | See |  |  | |
| 1,795 |
A*02:01 |  | China Guangzhou | | 0.1280 |  | 102 | See |  |  | |
| 1,796 |
A*02:01 |  | China Guizhou Province Bouyei | | 0.0210 |  | 109 | See |  |  | |
| 1,797 |
A*02:01 |  | China Guizhou Province Miao pop 2 | | 0.0240 |  | 85 | See |  |  | |
| 1,798 |
A*02:01 |  | China Guizhou Province Shui | | 0.0450 |  | 153 | See |  |  | |
| 1,799 |
A*02:01 |  | China Han HIV negative | | 0.0630 |  | 72 | See |  |  | |
| 1,800 |
A*02:01 |  | China Henan HIV negative | | 0.0630 |  | 16 | 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 1,701 to 1,800
(from 162,565) records |
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