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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*02:11 |  | China Inner Mongolia Region | | 0 |  | 102 | See |  |  | |
| 1,702 |
A*02:11 |  | China North Han | | 0.0050 |  | 105 | See |  |  | |
| 1,703 |
A*02:11 |  | China Qinghai Province Hui | | 0 |  | 110 | See |  |  | |
| 1,704 |
A*02:11 |  | China Tibet Region Tibetan | | 0.0030 |  | 158 | See |  |  | |
| 1,705 |
A*02:11 |  | Colombia Embera NA-DHS_19 (G) | 7.1 (*) | 0.0357 (*) |  | 14 | See |  |  |
|
| 1,706 |
A*02:11 |  | Colombia Inga NA-DHS_11 (G) | 40.0 (*) | 0.2333 (*) |  | 16 | See |  |  |
|
| 1,707 |
A*02:11 |  | Colombia Waunana NA-DHS_20 (G) | 50.0 (*) | 0.2750 (*) |  | 20 | See |  |  |
|
| 1,708 |
A*02:11 |  | Colombia/Brazil Ticuna Arara NA-DHS_21 (G) | 6.7 (*) | 0.0333 (*) |  | 17 | See |  |  |
|
| 1,709 |
A*02:11 |  | Colombia/Brazil Ticuna Tarapaca NA-DHS_22 (G) | 21.1 (*) | 0.1053 (*) |  | 19 | See |  |  |
|
| 1,710 |
A*02:11 |  | Croatia | | 0 |  | 150 | See |  |  | |
| 1,711 |
A*02:11 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 1,712 |
A*02:11 |  | Ecuador Cayapa | | 0.0480 |  | 183 | See |  |  | |
| 1,713 |
A*02:11 |  | Greece pop 6 | | 0.0021 |  | 242 | See |  |  | |
| 1,714 |
A*02:11 |  | India Andhra Pradesh Golla | | 0.0970 |  | 111 | See |  |  | |
| 1,715 |
A*02:11 |  | India Delhi pop 2 | 3.3 | 0.0170 |  | 90 | See |  |  | |
| 1,716 |
A*02:11 |  | India Khandesh Region Pawra | | 0.1600 |  | 50 | See |  |  | |
| 1,717 |
A*02:11 |  | India Mumbai Maratha | | 0.0860 |  | 91 | See |  |  | |
| 1,718 |
A*02:11 |  | India New Delhi | | 0.0680 |  | 71 | See |  |  | |
| 1,719 |
A*02:11 |  | India North pop 2 | | 0.0670 |  | 72 | See |  |  | |
| 1,720 |
A*02:11 |  | India West Bhil | | 0.0400 |  | 50 | See |  |  | |
| 1,721 |
A*02:11 |  | India West Coast Parsi | | 0 |  | 50 | See |  |  | |
| 1,722 |
A*02:11 |  | Indonesia Java pop 2 | | 0.0140 |  | 36 | See |  |  | |
| 1,723 |
A*02:11 |  | Indonesia Sundanese and Javanese | | 0 |  | 201 | See |  |  | |
| 1,724 |
A*02:11 |  | Iran Baloch | | 0.0110 |  | 100 | See |  |  | |
| 1,725 |
A*02:11 |  | Israel Arab Druze | | 0.0050 |  | 101 | See |  |  | |
| 1,726 |
A*02:11 |  | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0040 |  | 146 | See |  |  | |
| 1,727 |
A*02:11 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 1,728 |
A*02:11 |  | Kenya Luo | | 0 |  | 265 | See |  |  | |
| 1,729 |
A*02:11 |  | Kenya Nandi | | 0 |  | 240 | See |  |  | |
| 1,730 |
A*02:11 |  | Mali Bandiagara | | 0 |  | 138 | See |  |  | |
| 1,731 |
A*02:11 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
| 1,732 |
A*02:11 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 1,733 |
A*02:11 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,734 |
A*02:11 |  | Pakistan Baloch | | 0.0160 |  | 66 | See |  |  | |
| 1,735 |
A*02:11 |  | Pakistan Brahui | | 0.0230 |  | 104 | See |  |  | |
| 1,736 |
A*02:11 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
| 1,737 |
A*02:11 |  | Paraguay/Argentina Ache NA-DHS_24 (G) | 46.2 (*) | 0.2692 (*) |  | 13 | See |  |  |
|
| 1,738 |
A*02:11 |  | Paraguay/Argentina Guarani NA-DHS_23 (G) | 20.0 (*) | 0.1000 (*) |  | 10 | See |  |  |
|
| 1,739 |
A*02:11 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
| 1,740 |
A*02:11 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
| 1,741 |
A*02:11 |  | Russia Tuva pop 2 | | 0.0050 |  | 169 | See |  |  | |
| 1,742 |
A*02:11 |  | Scotland Orkney | 0.0 | 0 |  | 99 | See |  |  | |
| 1,743 |
A*02:11 |  | Singapore Javaneses | | 0.0200 |  | 51 | See |  |  | |
| 1,744 |
A*02:11 |  | Singapore Riau Malay | | 0.0120 |  | 132 | See |  |  | |
| 1,745 |
A*02:11 |  | Singapore Thai | | 0.0050 |  | 100 | See |  |  | |
| 1,746 |
A*02:11 |  | South Africa Natal Tamil | | 0.1300 |  | 51 | See |  |  | |
| 1,747 |
A*02:11 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
| 1,748 |
A*02:11 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 1,749 |
A*02:11 |  | Sri Lanka Colombo Sinhalese | | 0.0740 |  | 101 | See |  |  | |
| 1,750 |
A*02:11 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
| 1,751 |
A*02:11 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
| 1,752 |
A*02:11 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
| 1,753 |
A*02:11 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
| 1,754 |
A*02:11 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
| 1,755 |
A*02:11 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
| 1,756 |
A*02:11 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
| 1,757 |
A*02:11 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
| 1,758 |
A*02:11 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
| 1,759 |
A*02:11 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
| 1,760 |
A*02:11 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
| 1,761 |
A*02:11 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
| 1,762 |
A*02:11 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
| 1,763 |
A*02:11 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
| 1,764 |
A*02:11 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
| 1,765 |
A*02:11 |  | Turkey pop 5 | | 0.0030 |  | 142 | See |  |  | |
| 1,766 |
A*02:11 |  | Uganda Kampala | | 0 |  | 161 | See |  |  | |
| 1,767 |
A*02:11 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 1,768 |
A*02:11 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 1,769 |
A*02:11 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 1,770 |
A*02:11 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 1,771 |
A*02:11 |  | Zambia Lusaka | | 0 |  | 44 | See |  |  | |
| 1,772 |
A*02:11:01 |  | Costa Rica Amerindians (G) | 0.8 (*) | 0.0040 (*) |  | 125 | See |  |  |
|
| 1,773 |
A*02:11:01 |  | Costa Rica Central Valley Mestizo (G) | 0.4 (*) | 0.0020 (*) |  | 221 | See |  |  |
|
| 1,774 |
A*02:11:01 |  | Costa Rica Guanacaste Mestizo (G) | 2.8 (*) | 0.0140 (*) |  | 110 | See |  |  |
|
| 1,775 |
A*02:12 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
| 1,776 |
A*02:12 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 1,777 |
A*02:12 |  | Burkina Faso Fulani | | 0 |  | 49 | See |  |  | |
| 1,778 |
A*02:12 |  | Burkina Faso Mossi | | 0 |  | 53 | See |  |  | |
| 1,779 |
A*02:12 |  | Burkina Faso Rimaibe | | 0 |  | 47 | See |  |  | |
| 1,780 |
A*02:12 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0030 |  | 618 | See |  |  | |
| 1,781 |
A*02:12 |  | China Guangdong Province Meizhou Han | | 0.0050 |  | 100 | See |  |  | |
| 1,782 |
A*02:12 |  | China Inner Mongolia Region | | 0.0050 |  | 102 | See |  |  | |
| 1,783 |
A*02:12 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 1,784 |
A*02:12 |  | China Qinghai Province Hui | | 0 |  | 110 | See |  |  | |
| 1,785 |
A*02:12 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 1,786 |
A*02:12 |  | Croatia | | 0 |  | 150 | See |  |  | |
| 1,787 |
A*02:12 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 1,788 |
A*02:12 |  | Ecuador Cayapa | | 0.6000 |  | 183 | See |  |  | |
| 1,789 |
A*02:12 |  | Iran Baloch | | 0.0060 |  | 100 | See |  |  | |
| 1,790 |
A*02:12 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 1,791 |
A*02:12 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
| 1,792 |
A*02:12 |  | Mongolia Buryat | | 0.0040 |  | 141 | See |  |  | |
| 1,793 |
A*02:12 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 1,794 |
A*02:12 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,795 |
A*02:12 |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
| 1,796 |
A*02:12 |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
| 1,797 |
A*02:12 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
| 1,798 |
A*02:12 |  | Paraguay/Argentina Guarani NA-DHS_23 (G) | 10.0 (*) | 0.0500 (*) |  | 10 | See |  |  |
|
| 1,799 |
A*02:12 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
| 1,800 |
A*02:12 |  | Romania | 0.0 | 0 |  | 348 | 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 64,837) records |
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