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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*02:08 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
| 1,602 |
A*02:08 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
| 1,603 |
A*02:08 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
| 1,604 |
A*02:08 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
| 1,605 |
A*02:08 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
| 1,606 |
A*02:08 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
| 1,607 |
A*02:08 |  | Thailand Northeast pop 2 | | 0.0010 |  | 400 | See |  |  | |
| 1,608 |
A*02:08 |  | Turkey pop 5 | | 0 |  | 142 | See |  |  | |
| 1,609 |
A*02:08 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 1,610 |
A*02:08 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 1,611 |
A*02:08 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 1,612 |
A*02:08 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 1,613 |
A*02:09 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
| 1,614 |
A*02:09 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 1,615 |
A*02:09 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0010 |  | 618 | See |  |  | |
| 1,616 |
A*02:09 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 1,617 |
A*02:09 |  | Croatia | | 0 |  | 150 | See |  |  | |
| 1,618 |
A*02:09 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 1,619 |
A*02:09 |  | India North pop 2 | | 0.0100 |  | 72 | See |  |  | |
| 1,620 |
A*02:09 |  | Iran Baloch | | 0.0110 |  | 100 | See |  |  | |
| 1,621 |
A*02:09 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 1,622 |
A*02:09 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
| 1,623 |
A*02:09 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 1,624 |
A*02:09 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,625 |
A*02:09 |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
| 1,626 |
A*02:09 |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
| 1,627 |
A*02:09 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
| 1,628 |
A*02:09 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
| 1,629 |
A*02:09 |  | Scotland Orkney | 0.0 | 0 |  | 99 | See |  |  | |
| 1,630 |
A*02:09 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
| 1,631 |
A*02:09 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 1,632 |
A*02:09 |  | Turkey pop 5 | | 0 |  | 142 | See |  |  | |
| 1,633 |
A*02:09 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 1,634 |
A*02:09 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 1,635 |
A*02:09 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 1,636 |
A*02:09 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 1,637 |
A*02:10 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
| 1,638 |
A*02:10 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 1,639 |
A*02:10 |  | China Beijing | | 0 |  | 67 | See |  |  | |
| 1,640 |
A*02:10 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0030 |  | 618 | See |  |  | |
| 1,641 |
A*02:10 |  | China Canton Han | | 0.0020 |  | 264 | See |  |  | |
| 1,642 |
A*02:10 |  | China Guangzhou | | 0.0050 |  | 102 | See |  |  | |
| 1,643 |
A*02:10 |  | China Inner Mongolia Region | | 0 |  | 102 | See |  |  | |
| 1,644 |
A*02:10 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 1,645 |
A*02:10 |  | China Qinghai Province Hui | | 0.0140 |  | 110 | See |  |  | |
| 1,646 |
A*02:10 |  | China South Han | | 0.0020 |  | 284 | See |  |  | |
| 1,647 |
A*02:10 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 1,648 |
A*02:10 |  | Croatia | | 0 |  | 150 | See |  |  | |
| 1,649 |
A*02:10 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 1,650 |
A*02:10 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 1,651 |
A*02:10 |  | Japan Central | | 0.0070 |  | 371 | See |  |  | |
| 1,652 |
A*02:10 |  | Japan pop 16 | | 0.0039 |  | 18,604 | See |  |  | |
| 1,653 |
A*02:10 |  | Japan pop 3 | | 0.0040 |  | 1,018 | See |  |  | |
| 1,654 |
A*02:10 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
| 1,655 |
A*02:10 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 1,656 |
A*02:10 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,657 |
A*02:10 |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
| 1,658 |
A*02:10 |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
| 1,659 |
A*02:10 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
| 1,660 |
A*02:10 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
| 1,661 |
A*02:10 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
| 1,662 |
A*02:10 |  | Russia Tuva pop 2 | | 0.0030 |  | 169 | See |  |  | |
| 1,663 |
A*02:10 |  | Scotland Orkney | 0.0 | 0 |  | 99 | See |  |  | |
| 1,664 |
A*02:10 |  | South Africa Natal Tamil | | 0.0200 |  | 51 | See |  |  | |
| 1,665 |
A*02:10 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
| 1,666 |
A*02:10 |  | South Korea pop 3 | | 0.0060 |  | 485 | See |  |  | |
| 1,667 |
A*02:10 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
| 1,668 |
A*02:10 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
| 1,669 |
A*02:10 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
| 1,670 |
A*02:10 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
| 1,671 |
A*02:10 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
| 1,672 |
A*02:10 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
| 1,673 |
A*02:10 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
| 1,674 |
A*02:10 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
| 1,675 |
A*02:10 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
| 1,676 |
A*02:10 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
| 1,677 |
A*02:10 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
| 1,678 |
A*02:10 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
| 1,679 |
A*02:10 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
| 1,680 |
A*02:10 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
| 1,681 |
A*02:10 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
| 1,682 |
A*02:10 |  | Turkey pop 5 | | 0 |  | 142 | See |  |  | |
| 1,683 |
A*02:10 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 1,684 |
A*02:10 |  | USA Arizona Pima | | 0.0060 |  | 100 | See |  |  | |
| 1,685 |
A*02:10 |  | USA Hawaii Okinawa | | 0.0050 |  | 106 | See |  |  | |
| 1,686 |
A*02:10 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 1,687 |
A*02:10 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 1,688 |
A*02:10 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 1,689 |
A*02:11 |  | Bolivia/Peru Quechua NA-DHS_12 (G) | 4.8 (*) | 0.0238 (*) |  | 21 | See |  |  |
|
| 1,690 |
A*02:11 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
| 1,691 |
A*02:11 |  | Brazil Mixed | | 0.0150 |  | 108 | See |  |  | |
| 1,692 |
A*02:11 |  | Brazil Vale do Ribeira Quilombos | 0.0030 | 0 |  | 144 | See |  |  | |
| 1,693 |
A*02:11 |  | Bulgaria | | 0.0090 |  | 55 | See |  |  | |
| 1,694 |
A*02:11 |  | Bulgaria Romani | | 0.0830 |  | 13 | See |  |  | |
| 1,695 |
A*02:11 |  | Burkina Faso Fulani | | 0 |  | 49 | See |  |  | |
| 1,696 |
A*02:11 |  | Burkina Faso Mossi | | 0 |  | 53 | See |  |  | |
| 1,697 |
A*02:11 |  | Burkina Faso Rimaibe | | 0 |  | 47 | See |  |  | |
| 1,698 |
A*02:11 |  | Cameroon Yaounde | | 0.0060 |  | 92 | See |  |  | |
| 1,699 |
A*02:11 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0020 |  | 618 | See |  |  | |
| 1,700 |
A*02:11 |  | China Inner Mongolia Region | | 0 |  | 102 | 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 64,836) records |
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