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 |
1,501 |
A*02:07 |  | China Jiangsu Province Han | | 0.0610 |  | 334 | See |  |  | |
1,502 |
A*02:07 |  | China Jingpo Minority | 3.9 | 0.0190 |  | 105 | See |  |  |
|
1,503 |
A*02:07 |  | China North Han | | 0.0430 |  | 105 | See |  |  | |
1,504 |
A*02:07 |  | China Qinghai Province Hui | | 0.0360 |  | 110 | See |  |  | |
1,505 |
A*02:07 |  | China South Han | | 0.0940 |  | 284 | See |  |  | |
1,506 |
A*02:07 |  | China Southwest Dai | | 0.1850 |  | 124 | See |  |  | |
1,507 |
A*02:07 |  | China Tibet Region Tibetan | | 0.0160 |  | 158 | See |  |  | |
1,508 |
A*02:07 |  | China Yunnan Bulang | | 0.0040 |  | 116 | See |  |  | |
1,509 |
A*02:07 |  | China Yunnan Hani | | 0.1070 |  | 150 | See |  |  | |
1,510 |
A*02:07 |  | China Yunnan Province Han | | 0.1830 |  | 101 | See |  |  | |
1,511 |
A*02:07 |  | China Yunnan Province Jinuo | | 0.1880 |  | 109 | See |  |  | |
1,512 |
A*02:07 |  | China Yunnan Province Lisu | | 0.0220 |  | 111 | See |  |  | |
1,513 |
A*02:07 |  | China Yunnan Province Nu | | 0.0820 |  | 107 | See |  |  | |
1,514 |
A*02:07 |  | China Yunnan Province Wa | | 0.0080 |  | 119 | See |  |  | |
1,515 |
A*02:07 |  | Croatia | | 0 |  | 150 | See |  |  | |
1,516 |
A*02:07 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
1,517 |
A*02:07 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
1,518 |
A*02:07 |  | Japan Central | | 0.0220 |  | 371 | See |  |  | |
1,519 |
A*02:07 |  | Japan Hokkaido Ainu | | 0.0100 |  | 50 | See |  |  | |
1,520 |
A*02:07 |  | Japan Okinawa Ryukyuan | | 0.0070 |  | 143 | See |  |  | |
1,521 |
A*02:07 |  | Japan pop 16 | | 0.0346 |  | 18,604 | See |  |  | |
1,522 |
A*02:07 |  | Japan pop 3 | | 0.0340 |  | 1,018 | See |  |  | |
1,523 |
A*02:07 |  | Japan pop 5 | | 0.0400 |  | 117 | See |  |  | |
1,524 |
A*02:07 |  | Malaysia Champa | 10.3 | 0.0520 |  | 29 | See |  |  |
|
1,525 |
A*02:07 |  | Malaysia Jelebu Temuan | | 0.0420 |  | 25 | See |  |  | |
1,526 |
A*02:07 |  | Malaysia Kelantan | 17.9 | 0.0890 |  | 28 | See |  |  |
|
1,527 |
A*02:07 |  | Malaysia Perak Grik Jehai | | 0.0400 |  | 25 | See |  |  | |
1,528 |
A*02:07 |  | Malaysia Sarawak Bau Bidayuh | | 0.0200 |  | 25 | See |  |  | |
1,529 |
A*02:07 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
1,530 |
A*02:07 |  | Mongolia Buryat | | 0.0210 |  | 141 | See |  |  | |
1,531 |
A*02:07 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
1,532 |
A*02:07 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
1,533 |
A*02:07 |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
1,534 |
A*02:07 |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
1,535 |
A*02:07 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
1,536 |
A*02:07 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
1,537 |
A*02:07 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
1,538 |
A*02:07 |  | Russia Tuva pop 2 | | 0.0160 |  | 169 | See |  |  | |
1,539 |
A*02:07 |  | Scotland Orkney | 0.0 | 0 |  | 99 | See |  |  | |
1,540 |
A*02:07 |  | Singapore Chinese Han | | 0.1160 |  | 94 | See |  |  | |
1,541 |
A*02:07 |  | Singapore Javaneses | | 0.0100 |  | 51 | See |  |  | |
1,542 |
A*02:07 |  | Singapore Riau Malay | | 0.0200 |  | 132 | See |  |  | |
1,543 |
A*02:07 |  | Singapore Thai | | 0.1220 |  | 100 | See |  |  | |
1,544 |
A*02:07 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
1,545 |
A*02:07 |  | South Korea pop 3 | | 0.0300 |  | 485 | See |  |  | |
1,546 |
A*02:07 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
1,547 |
A*02:07 |  | Taiwan Atayal | 0.9 | 0.0050 |  | 106 | See |  |  | |
1,548 |
A*02:07 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
1,549 |
A*02:07 |  | Taiwan Hakka | 16.4 | 0.0820 |  | 55 | See |  |  | |
1,550 |
A*02:07 |  | Taiwan Minnan pop 1 | 19.6 | 0.1130 |  | 102 | See |  |  | |
1,551 |
A*02:07 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
1,552 |
A*02:07 |  | Taiwan Pazeh | 12.7 | 0.0640 |  | 55 | See |  |  | |
1,553 |
A*02:07 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
1,554 |
A*02:07 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
1,555 |
A*02:07 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
1,556 |
A*02:07 |  | Taiwan Siraya | 11.8 | 0.0690 |  | 51 | See |  |  | |
1,557 |
A*02:07 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
1,558 |
A*02:07 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
1,559 |
A*02:07 |  | Taiwan Thao | 3.3 | 0.0170 |  | 30 | See |  |  | |
1,560 |
A*02:07 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
1,561 |
A*02:07 |  | Thailand Northeast | | 0.1570 |  | 66 | See |  |  | |
1,562 |
A*02:07 |  | Thailand Northeast pop 2 | | 0.1440 |  | 400 | See |  |  | |
1,563 |
A*02:07 |  | Turkey pop 5 | | 0 |  | 142 | See |  |  | |
1,564 |
A*02:07 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
1,565 |
A*02:07 |  | USA Hawaii Okinawa | | 0.0140 |  | 106 | See |  |  | |
1,566 |
A*02:07 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
1,567 |
A*02:07 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
1,568 |
A*02:07 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
1,569 |
A*02:07 |  | Vietnam Hanoi Kinh pop 2 | | 0.0850 |  | 170 | See |  |  | |
1,570 |
A*02:07:01 |  | Vietnam Kinh | 18.0 | 0.0990 |  | 101 | See |  |  |
|
1,571 |
A*02:08 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
1,572 |
A*02:08 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
1,573 |
A*02:08 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0010 |  | 618 | See |  |  | |
1,574 |
A*02:08 |  | China North Han | | 0 |  | 105 | See |  |  | |
1,575 |
A*02:08 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
1,576 |
A*02:08 |  | Croatia | | 0 |  | 150 | See |  |  | |
1,577 |
A*02:08 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
1,578 |
A*02:08 |  | Georgia Svaneti Region Svan | | 0.0130 |  | 80 | See |  |  | |
1,579 |
A*02:08 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
1,580 |
A*02:08 |  | Madeira | | 0.0050 |  | 185 | See |  |  | |
1,581 |
A*02:08 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
1,582 |
A*02:08 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
1,583 |
A*02:08 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
1,584 |
A*02:08 |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
1,585 |
A*02:08 |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
1,586 |
A*02:08 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
1,587 |
A*02:08 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
1,588 |
A*02:08 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
1,589 |
A*02:08 |  | Scotland Orkney | 0.0 | 0 |  | 99 | See |  |  | |
1,590 |
A*02:08 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
1,591 |
A*02:08 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
1,592 |
A*02:08 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
1,593 |
A*02:08 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
1,594 |
A*02:08 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
1,595 |
A*02:08 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
1,596 |
A*02:08 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
1,597 |
A*02:08 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
1,598 |
A*02:08 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
1,599 |
A*02:08 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
1,600 |
A*02:08 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | 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 1,501 to 1,600
(from 64,836) records |
|
Pages: |
|
|
11 12 13 14 15 16 17 18 19 20 of 649
|
|
 |
|
 |
 |
 |