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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 |
| 1,801 |
A*02:12 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 1,802 |
A*02:12 |  | Sudan Central Shaigiya Mixed | 2.7 | 0.0135 |  | 36 | See |  |  | |
| 1,803 |
A*02:12 |  | Sudan East Rashaida | 3.7 | 0.0186 |  | 27 | See |  |  | |
| 1,804 |
A*02:12 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
| 1,805 |
A*02:12 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
| 1,806 |
A*02:12 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
| 1,807 |
A*02:12 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
| 1,808 |
A*02:12 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
| 1,809 |
A*02:12 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
| 1,810 |
A*02:12 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
| 1,811 |
A*02:12 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
| 1,812 |
A*02:12 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
| 1,813 |
A*02:12 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
| 1,814 |
A*02:12 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
| 1,815 |
A*02:12 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
| 1,816 |
A*02:12 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
| 1,817 |
A*02:12 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
| 1,818 |
A*02:12 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
| 1,819 |
A*02:12 |  | Turkey pop 5 | | 0 |  | 142 | See |  |  | |
| 1,820 |
A*02:12 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 1,821 |
A*02:12 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 1,822 |
A*02:12 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 1,823 |
A*02:12 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 1,824 |
A*02:12 |  | Venezuela Sierra de Perija Yucpa | | 0.0120 |  | 73 | See |  |  | |
| 1,825 |
A*02:13 |  | Bolivia/Peru Quechua NA-DHS_12 (G) | 4.8 (*) | 0.0238 (*) |  | 21 | See |  |  |
|
| 1,826 |
A*02:13 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
| 1,827 |
A*02:13 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 1,828 |
A*02:13 |  | Burkina Faso Fulani | | 0 |  | 49 | See |  |  | |
| 1,829 |
A*02:13 |  | Burkina Faso Mossi | | 0 |  | 53 | See |  |  | |
| 1,830 |
A*02:13 |  | Burkina Faso Rimaibe | | 0 |  | 47 | See |  |  | |
| 1,831 |
A*02:13 |  | China Guangdong Province Meizhou Han | | 0.0050 |  | 100 | See |  |  | |
| 1,832 |
A*02:13 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 1,833 |
A*02:13 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 1,834 |
A*02:13 |  | Colombia Embera NA-DHS_19 (G) | 21.4 (*) | 0.1071 (*) |  | 14 | See |  |  |
|
| 1,835 |
A*02:13 |  | Colombia Inga NA-DHS_11 (G) | 26.7 (*) | 0.1333 (*) |  | 16 | See |  |  |
|
| 1,836 |
A*02:13 |  | Colombia Waunana NA-DHS_20 (G) | 10.0 (*) | 0.0500 (*) |  | 20 | See |  |  |
|
| 1,837 |
A*02:13 |  | Colombia Wayuu NA-DHS_15 (G) | 6.7 (*) | 0.0333 (*) |  | 15 | See |  |  |
|
| 1,838 |
A*02:13 |  | Colombia/Brazil Ticuna Arara NA-DHS_21 (G) | 13.3 (*) | 0.0667 (*) |  | 17 | See |  |  |
|
| 1,839 |
A*02:13 |  | Croatia | | 0 |  | 150 | See |  |  | |
| 1,840 |
A*02:13 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 1,841 |
A*02:13 |  | Ecuador Cayapa | | 0.0240 |  | 183 | See |  |  | |
| 1,842 |
A*02:13 |  | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0040 |  | 146 | See |  |  | |
| 1,843 |
A*02:13 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 1,844 |
A*02:13 |  | Japan pop 16 | | 0.0000500 |  | 18,604 | See |  |  | |
| 1,845 |
A*02:13 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
| 1,846 |
A*02:13 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 1,847 |
A*02:13 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,848 |
A*02:13 |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
| 1,849 |
A*02:13 |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
| 1,850 |
A*02:13 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
| 1,851 |
A*02:13 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
| 1,852 |
A*02:13 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
| 1,853 |
A*02:13 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
| 1,854 |
A*02:13 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 1,855 |
A*02:13 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
| 1,856 |
A*02:13 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
| 1,857 |
A*02:13 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
| 1,858 |
A*02:13 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
| 1,859 |
A*02:13 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
| 1,860 |
A*02:13 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
| 1,861 |
A*02:13 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
| 1,862 |
A*02:13 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
| 1,863 |
A*02:13 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
| 1,864 |
A*02:13 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
| 1,865 |
A*02:13 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
| 1,866 |
A*02:13 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
| 1,867 |
A*02:13 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
| 1,868 |
A*02:13 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
| 1,869 |
A*02:13 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
| 1,870 |
A*02:13 |  | Turkey pop 5 | | 0 |  | 142 | See |  |  | |
| 1,871 |
A*02:13 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 1,872 |
A*02:13 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 1,873 |
A*02:13 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 1,874 |
A*02:13 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 1,875 |
A*02:13 |  | Venezuela Sierra de Perija Yucpa | | 0.0120 |  | 73 | See |  |  | |
| 1,876 |
A*02:14 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
| 1,877 |
A*02:14 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 1,878 |
A*02:14 |  | Cameroon Yaounde | | 0.0060 |  | 92 | See |  |  | |
| 1,879 |
A*02:14 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 1,880 |
A*02:14 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 1,881 |
A*02:14 |  | Colombia North Wiwa El Encanto | | 0.0096 |  | 52 | See |  |  |
|
| 1,882 |
A*02:14 |  | Croatia | | 0 |  | 150 | See |  |  | |
| 1,883 |
A*02:14 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 1,884 |
A*02:14 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 1,885 |
A*02:14 |  | Kenya | | 0.0030 |  | 144 | See |  |  | |
| 1,886 |
A*02:14 |  | Kenya Luo | | 0.0150 |  | 265 | See |  |  | |
| 1,887 |
A*02:14 |  | Kenya Nandi | | 0.0080 |  | 240 | See |  |  | |
| 1,888 |
A*02:14 |  | Mali Bandiagara | | 0 |  | 138 | See |  |  | |
| 1,889 |
A*02:14 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
| 1,890 |
A*02:14 |  | Mongolia Buryat | | 0.0070 |  | 141 | See |  |  | |
| 1,891 |
A*02:14 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 1,892 |
A*02:14 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,893 |
A*02:14 |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
| 1,894 |
A*02:14 |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
| 1,895 |
A*02:14 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
| 1,896 |
A*02:14 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
| 1,897 |
A*02:14 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
| 1,898 |
A*02:14 |  | Scotland Orkney | 0.0 | 0 |  | 99 | See |  |  | |
| 1,899 |
A*02:14 |  | South Africa Caucasians | | 0 |  | 102 | See |  |  | |
| 1,900 |
A*02:14 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | 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 1,801 to 1,900
(from 64,836) records |
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