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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*02:01 | | Mexico Chiapas Lacandon Mayans | | 0.0940 | | 218 | See | | |
|
1,702 |
A*02:01 | | Mexico Chichen Itza Maya (prehispanic) | | 0.0745 | | 47 | See | | |
|
1,703 |
A*02:01 | | Mexico Chihuahua Chihuahua City Pop 2 | 46.6 | 0.2727 | | 88 | See | | |
|
1,704 |
A*02:01 | | Mexico Mestizo | 56.1 | 0.3410 | | 41 | See | | | |
1,705 |
A*02:01 | | Mexico Mexico City Mestizo pop 2 | | 0.2286 | | 234 | See | | | |
1,706 |
A*02:01 | | Mexico Mexico City Mestizo population | | 0.2028 | | 143 | See | | |
|
1,707 |
A*02:01 | | Mexico Mexico City Tlalpan | 44.5 | 0.2591 | | 330 | See | | |
|
1,708 |
A*02:01 | | Mexico Mixtec | | 0.2530 | | 97 | See | | | |
1,709 |
A*02:01 | | Mexico Oaxaca Jamiltepec Mixtec | | 0.2550 | | 96 | See | | |
|
1,710 |
A*02:01 | | Mexico Oaxaca Mixe | | 0.3110 | | 55 | See | | | |
1,711 |
A*02:01 | | Mexico Oaxaca Mixtec | | 0.2840 | | 103 | See | | | |
1,712 |
A*02:01 | | Mexico Oaxaca Zapotec | | 0.2840 | | 90 | See | | | |
1,713 |
A*02:01 | | Mexico Sonora Seri | | 0.5450 | | 34 | See | | | |
1,714 |
A*02:01 | | Mexico Tixcacaltuyub Maya | | 0.0299 | | 67 | See | | |
|
1,715 |
A*02:01 | | Mexico Veracruz Xalapa | 47.6 | 0.2738 | | 84 | See | | |
|
1,716 |
A*02:01 | | Netherlands Leiden | | 0.2920 | | 1,305 | See | | | |
1,717 |
A*02:01 | | Netherlands UMCU | 45.3 | 0.2812 | | 64 | See | | | |
1,718 |
A*02:01 | | New Caledonia | | 0.0240 | | 65 | See | | | |
1,719 |
A*02:01 | | New Zealand Maori with Admixed History | 16.2 | 0.0810 | | 105 | See | | |
|
1,720 |
A*02:01 | | New Zealand Maori with Full Ancestry | 6.5 | 0.0330 | | 46 | See | | |
|
1,721 |
A*02:01 | | New Zealand Polynesians with Admixed History | 22.2 | 0.1110 | | 27 | See | | |
|
1,722 |
A*02:01 | | New Zealand Polynesians with Full Ancestry | 19.0 | 0.0950 | | 21 | See | | |
|
1,723 |
A*02:01 | | Nicaragua Managua | 32.0 | 0.1766 | | 339 | See | | |
|
1,724 |
A*02:01 | | Oman | 39.8 | 0.2160 | | 118 | See | | | |
1,725 |
A*02:01 | | Pakistan Baloch | | 0.0950 | | 66 | See | | | |
1,726 |
A*02:01 | | Pakistan Brahui | | 0.1150 | | 104 | See | | | |
1,727 |
A*02:01 | | Pakistan Burusho | | 0.0540 | | 92 | See | | | |
1,728 |
A*02:01 | | Pakistan Kalash | | 0.1580 | | 69 | See | | | |
1,729 |
A*02:01 | | Pakistan Karachi Parsi | | 0.0280 | | 91 | See | | | |
1,730 |
A*02:01 | | Pakistan Mixed Pathan | | 0.0820 | | 100 | See | | | |
1,731 |
A*02:01 | | Pakistan Mixed Sindhi | | 0.0700 | | 101 | See | | | |
1,732 |
A*02:01 | | Panama | | 0.1493 | | 462 | See | | |
|
1,733 |
A*02:01 | | Papua New Guinea East New Britain Rabaul | | 0 | | 60 | See | | | |
1,734 |
A*02:01 | | Papua New Guinea Eastern Highlands Goroka Asaro | | 0 | | 57 | See | | | |
1,735 |
A*02:01 | | Papua New Guinea Karimui Plateau Pawaia | | 0 | | 80 | See | | | |
1,736 |
A*02:01 | | Papua New Guinea Madang | | 0 | | 65 | See | | | |
1,737 |
A*02:01 | | Papua New Guinea Wanigela Keapara | | 0.0210 | | 66 | See | | | |
1,738 |
A*02:01 | | Papua New Guinea West Schrader Ranges Haruai | | 0 | | 55 | See | | | |
1,739 |
A*02:01 | | Papua New Guinea Wosera Abelam | | 0 | | 131 | See | | | |
1,740 |
A*02:01 | | Peru Titikaka Lake Uro | | 0.5000 | | 105 | See | | | |
1,741 |
A*02:01 | | Peru Titikaka Lake Uros | | 0.5000 | | 105 | See | | |
|
1,742 |
A*02:01 | | Philippines Ivatan | 48.0 | 0.3000 | | 50 | See | | | |
1,743 |
A*02:01 | | Poland | | 0.1930 | | 200 | See | | | |
1,744 |
A*02:01 | | Poland DKMS | | 0.2849 | | 20,653 | See | | | |
1,745 |
A*02:01 | | Portugal Azores Terceira Island | 42.1 | 0.2325 | | 130 | See | | |
|
1,746 |
A*02:01 | | Portugal Center | | 0.2600 | | 50 | See | | | |
1,747 |
A*02:01 | | Portugal North | | 0.2930 | | 46 | See | | | |
1,748 |
A*02:01 | | Portugal South | | 0.2350 | | 49 | See | | | |
1,749 |
A*02:01 | | Romania | 43.7 | 0.2500 | | 348 | See | | | |
1,750 |
A*02:01 | | Russia Belgorod region | 0.7 | 0.0033 | | 153 | See | | |
|
1,751 |
A*02:01 | | Russia Bering Island Aleuts | | 0.2260 | | 104 | See | | |
|
1,752 |
A*02:01 | | Russia Karelia | | 0.2963 | | 1,075 | See | | |
|
1,753 |
A*02:01 | | Russia Tuva pop 2 | | 0.1430 | | 169 | See | | | |
1,754 |
A*02:01 | | Sao Tome Island Angolar | | 0.0630 | | 32 | See | | | |
1,755 |
A*02:01 | | Sao Tome Island Forro | | 0.1280 | | 66 | See | | | |
1,756 |
A*02:01 | | Saudi Arabia Guraiat and Hail | 33.3 | 0.1900 | | 213 | See | | | |
1,757 |
A*02:01 | | Senegal Niokholo Mandenka | | 0.0810 | | 165 | See | | | |
1,758 |
A*02:01 | | Singapore Chinese | 19.5 | 0.1040 | | 149 | See | | | |
1,759 |
A*02:01 | | Singapore Chinese Han | | 0.0760 | | 94 | See | | | |
1,760 |
A*02:01 | | Singapore Javaneses | | 0.0400 | | 51 | See | | | |
1,761 |
A*02:01 | | Singapore Riau Malay | | 0.0650 | | 132 | See | | | |
1,762 |
A*02:01 | | Singapore SGVP Chinese CHS | | 0.1090 | | 96 | See | | |
|
1,763 |
A*02:01 | | Singapore SGVP Malay MAS | | 0.1190 | | 89 | See | | |
|
1,764 |
A*02:01 | | Singapore SGVP. Indian INS | | 0.0750 | | 86 | See | | |
|
1,765 |
A*02:01 | | Singapore Thai | | 0.0310 | | 100 | See | | | |
1,766 |
A*02:01 | | South Africa Natal Tamil | | 0.0100 | | 51 | See | | | |
1,767 |
A*02:01 | | South Africa Natal Zulu | 5.0 | 0.0250 | | 100 | See | | | |
1,768 |
A*02:01 | | South Africa Worcester | 14.0 | 0.0750 | | 159 | See | | |
|
1,769 |
A*02:01 | | South Korea pop 10 | | 0.1548 | | 4,128 | See | | | |
1,770 |
A*02:01 | | South Korea pop 3 | | 0.1650 | | 485 | See | | | |
1,771 |
A*02:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 41.7 | 0.2368 | | 4,335 | See | | |
|
1,772 |
A*02:01 | | Spain Catalonia Girona | | 0.2990 | | 88 | See | | | |
1,773 |
A*02:01 | | Spain Gipuzkoa Basque | | 0.2700 | | 100 | See | | | |
1,774 |
A*02:01 | | Sri Lanka Colombo | 6.6 | 0.0340 | | 714 | See | | |
|
1,775 |
A*02:01 | | Sri Lanka Colombo Sinhalese | | 0.0490 | | 101 | See | | | |
1,776 |
A*02:01 | | Sudan Central Shaigiya Mixed | 11.1 | 0.0571 | | 36 | See | | | |
1,777 |
A*02:01 | | Sudan East Rashaida | 18.5 | 0.0972 | | 27 | See | | | |
1,778 |
A*02:01 | | Sudan Mixed | 33.0 | 0.1730 | | 200 | See | | | |
1,779 |
A*02:01 | | Sweden Northern Sami | | 0.2360 | | 154 | See | | | |
1,780 |
A*02:01 | | Sweden Southern Sami | | 0.2600 | | 130 | See | | | |
1,781 |
A*02:01 | | Taiwan Ami | 5.1 | 0.0260 | | 98 | See | | | |
1,782 |
A*02:01 | | Taiwan Atayal | 13.2 | 0.0660 | | 106 | See | | | |
1,783 |
A*02:01 | | Taiwan Bunun | 7.9 | 0.0400 | | 101 | See | | | |
1,784 |
A*02:01 | | Taiwan Hakka | 10.9 | 0.0550 | | 55 | See | | | |
1,785 |
A*02:01 | | Taiwan Han Chinese | | 0.0920 | | 504 | See | | | |
1,786 |
A*02:01 | | Taiwan Minnan pop 1 | 17.6 | 0.0880 | | 102 | See | | | |
1,787 |
A*02:01 | | Taiwan Paiwan | 7.8 | 0.0390 | | 51 | See | | | |
1,788 |
A*02:01 | | Taiwan Pazeh | 10.9 | 0.0550 | | 55 | See | | | |
1,789 |
A*02:01 | | Taiwan pop 2 | | 0.1290 | | 364 | See | | | |
1,790 |
A*02:01 | | Taiwan pop 3 | | 0.0990 | | 212 | See | | | |
1,791 |
A*02:01 | | Taiwan Puyuma | 4.0 | 0.0200 | | 50 | See | | | |
1,792 |
A*02:01 | | Taiwan Rukai | 6.0 | 0.0300 | | 50 | See | | | |
1,793 |
A*02:01 | | Taiwan Saisiat | 21.6 | 0.1080 | | 51 | See | | | |
1,794 |
A*02:01 | | Taiwan Siraya | 7.8 | 0.0390 | | 51 | See | | | |
1,795 |
A*02:01 | | Taiwan Tao | 4.0 | 0.0200 | | 50 | See | | | |
1,796 |
A*02:01 | | Taiwan Taroko | 36.4 | 0.1910 | | 55 | See | | | |
1,797 |
A*02:01 | | Taiwan Thao | 13.3 | 0.0670 | | 30 | See | | | |
1,798 |
A*02:01 | | Taiwan Tsou | 5.9 | 0.0290 | | 51 | See | | | |
1,799 |
A*02:01 | | Taiwan Tzu Chi Cord Blood Bank | | 0.1040 | | 710 | See | | | |
1,800 |
A*02:01 | | Tanzania Maasai | 21.2 | 0.1180 | | 336 | 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 151,041) records |
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