Please specify your search by selecting options from boxes. Then, click "Search" to find HLA allele frequencies
that match your criteria. Remember at least one option must be selected.
| Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
| 2,501 |
A*02:31 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 2,502 |
A*02:31 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 2,503 |
A*02:31 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 2,504 |
A*02:31 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 2,505 |
A*02:31 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 2,506 |
A*02:32N |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 2,507 |
A*02:32N |  | China North Han | | 0 |  | 105 | See |  |  | |
| 2,508 |
A*02:32N |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 2,509 |
A*02:32N |  | Croatia | | 0 |  | 150 | See |  |  | |
| 2,510 |
A*02:32N |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 2,511 |
A*02:32N |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 2,512 |
A*02:32N |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
| 2,513 |
A*02:32N |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 2,514 |
A*02:32N |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
| 2,515 |
A*02:32N |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
| 2,516 |
A*02:32N |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
| 2,517 |
A*02:32N |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
| 2,518 |
A*02:32N |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
| 2,519 |
A*02:32N |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
| 2,520 |
A*02:32N |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
| 2,521 |
A*02:32N |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
| 2,522 |
A*02:32N |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
| 2,523 |
A*02:32N |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
| 2,524 |
A*02:32N |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
| 2,525 |
A*02:32N |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
| 2,526 |
A*02:32N |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
| 2,527 |
A*02:32N |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
| 2,528 |
A*02:32N |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
| 2,529 |
A*02:32N |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 2,530 |
A*02:32N |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 2,531 |
A*02:33 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 2,532 |
A*02:33 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 2,533 |
A*02:33 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 2,534 |
A*02:33 |  | Costa Rica Guanacaste Mestizo (G) | 1.0 (*) | 0.0050 (*) |  | 110 | See |  |  |
|
| 2,535 |
A*02:33 |  | Croatia | | 0 |  | 150 | See |  |  | |
| 2,536 |
A*02:33 |  | Mongolia Buryat | | 0.0040 |  | 141 | See |  |  | |
| 2,537 |
A*02:33 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 2,538 |
A*02:33 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 2,539 |
A*02:33 |  | Nicaragua Mestizo (G) | 1.4 (*) | 0.0070 (*) |  | 155 | See |  |  |
|
| 2,540 |
A*02:33 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
| 2,541 |
A*02:33 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 2,542 |
A*02:33 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
| 2,543 |
A*02:33 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
| 2,544 |
A*02:33 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
| 2,545 |
A*02:33 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
| 2,546 |
A*02:33 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
| 2,547 |
A*02:33 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
| 2,548 |
A*02:33 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
| 2,549 |
A*02:33 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
| 2,550 |
A*02:33 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
| 2,551 |
A*02:33 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
| 2,552 |
A*02:33 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
| 2,553 |
A*02:33 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
| 2,554 |
A*02:33 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
| 2,555 |
A*02:33 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
| 2,556 |
A*02:33 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
| 2,557 |
A*02:33 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 2,558 |
A*02:33 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 2,559 |
A*02:33 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 2,560 |
A*02:34 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 2,561 |
A*02:34 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0010 |  | 618 | See |  |  | |
| 2,562 |
A*02:34 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 2,563 |
A*02:34 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 2,564 |
A*02:34 |  | Croatia | | 0 |  | 150 | See |  |  | |
| 2,565 |
A*02:34 |  | Georgia Tibilisi | | 0.0050 |  | 109 | See |  |  | |
| 2,566 |
A*02:34 |  | Iran Gorgan | | 0.0390 |  | 64 | See |  |  |
|
| 2,567 |
A*02:34 |  | Kenya | | 0.0070 |  | 144 | See |  |  | |
| 2,568 |
A*02:34 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 2,569 |
A*02:34 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 2,570 |
A*02:34 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
| 2,571 |
A*02:34 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 2,572 |
A*02:34 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
| 2,573 |
A*02:34 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
| 2,574 |
A*02:34 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
| 2,575 |
A*02:34 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
| 2,576 |
A*02:34 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
| 2,577 |
A*02:34 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
| 2,578 |
A*02:34 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
| 2,579 |
A*02:34 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
| 2,580 |
A*02:34 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
| 2,581 |
A*02:34 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
| 2,582 |
A*02:34 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
| 2,583 |
A*02:34 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
| 2,584 |
A*02:34 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
| 2,585 |
A*02:34 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
| 2,586 |
A*02:34 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
| 2,587 |
A*02:34 |  | USA Caucasian pop 4 | | 0 |  | 1,070 | See |  |  | |
| 2,588 |
A*02:34 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 2,589 |
A*02:34 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 2,590 |
A*02:34 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 2,591 |
A*02:35 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 2,592 |
A*02:35 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 2,593 |
A*02:35 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 2,594 |
A*02:35 |  | Croatia | | 0 |  | 150 | See |  |  | |
| 2,595 |
A*02:35 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 2,596 |
A*02:35 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 2,597 |
A*02:35 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
| 2,598 |
A*02:35 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 2,599 |
A*02:35 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
| 2,600 |
A*02:35 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | 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 2,501 to 2,600
(from 64,837) records |
|
Pages: |
|
|
21 22 23 24 25 26 27 28 29 30 of 649
|
|
 |
|
 |
 |
 |