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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 |
26,501 |
A*68:01 | | Guinea Bissau Fula | | 0.0320 | | 31 | See | | | |
26,502 |
A*68:01 | | Guinea Bissau Papel | | 0.0200 | | 25 | See | | | |
26,503 |
A*68:01 | | Hong Kong Chinese BMDR | | 0.0024 | | 7,595 | See | | |
|
26,504 |
A*68:01 | | Hong Kong Chinese cord blood registry | | 0.0033 | | 3,892 | See | | |
|
26,505 |
A*68:01 | | India Delhi pop 2 | 18.9 | 0.0940 | | 90 | See | | | |
26,506 |
A*68:01 | | India Tamil Nadu | | 0.0586 | | 2,492 | See | | |
|
26,507 |
A*68:01 | | India UCBB_Central Indian HLA | 13.6 | 0.0682 | | 4,204 | See | | |
|
26,508 |
A*68:01 | | Iran Gorgan | | 0.0230 | | 64 | See | | |
|
26,509 |
A*68:01 | | Iran Kurd pop 2 | | 0.0080 | | 60 | See | | |
|
26,510 |
A*68:01 | | Iran Saqqez-Baneh Kurds | | 0.0083 | | 60 | See | | |
|
26,511 |
A*68:01 | | Iran Tabriz Azeris | | 0.0567 | | 97 | See | | |
|
26,512 |
A*68:01 | | Iran Yazd | | 0.0536 | | 56 | See | | |
|
26,513 |
A*68:01 | | Ireland South | 6.0 | 0.0340 | | 250 | See | | | |
26,514 |
A*68:01 | | Israel Arab pop 2 | | 0.0241 | | 12,301 | See | | |
|
26,515 |
A*68:01 | | Israel Argentina Jews | | 0.0033 | | 4,307 | See | | |
|
26,516 |
A*68:01 | | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0040 | | 146 | See | | | |
26,517 |
A*68:01 | | Israel Ashkenazi Jews pop 3 | | 0.0072 | | 4,625 | See | | |
|
26,518 |
A*68:01 | | Israel Bukhara Jews | | 0.0050 | | 2,317 | See | | |
|
26,519 |
A*68:01 | | Israel Druze | | 0.0145 | | 5,914 | See | | |
|
26,520 |
A*68:01 | | Israel Ethiopia Jews | | 0.0459 | | 5,928 | See | | |
|
26,521 |
A*68:01 | | Israel Georgia Jews | | 0.0020 | | 4,471 | See | | |
|
26,522 |
A*68:01 | | Israel Iran Jews | | 0.0112 | | 8,153 | See | | |
|
26,523 |
A*68:01 | | Israel Iraq Jews | | 0.0277 | | 13,270 | See | | |
|
26,524 |
A*68:01 | | Israel Kavkazi Jews | | 0.0148 | | 2,840 | See | | |
|
26,525 |
A*68:01 | | Israel Libya Jews | | 0.0041 | | 3,739 | See | | |
|
26,526 |
A*68:01 | | Israel Morocco Jews | | 0.0052 | | 36,718 | See | | |
|
26,527 |
A*68:01 | | Israel Poland Jews | | 0.0048 | | 13,871 | See | | |
|
26,528 |
A*68:01 | | Israel Tunisia Jews | | 0.0057 | | 9,070 | See | | |
|
26,529 |
A*68:01 | | Israel USA Jews | | 0.0041 | | 6,058 | See | | |
|
26,530 |
A*68:01 | | Israel USSR Jews | | 0.0044 | | 45,681 | See | | |
|
26,531 |
A*68:01 | | Israel YemenJews | | 0.0132 | | 15,542 | See | | |
|
26,532 |
A*68:01 | | Italy Bergamo | 2.9 | 0.0160 | | 101 | See | | | |
26,533 |
A*68:01 | | Italy pop 5 | | 0.0330 | | 975 | See | | | |
26,534 |
A*68:01 | | Italy Sardinia pop3 | | 0.0050 | | 100 | See | | | |
26,535 |
A*68:01 | | Japan pop 16 | | 0.0001 | | 18,604 | See | | | |
26,536 |
A*68:01 | | Kenya Luo | | 0.0150 | | 265 | See | | | |
26,537 |
A*68:01 | | Kenya Nandi | | 0.0060 | | 240 | See | | | |
26,538 |
A*68:01 | | Kenya, Nyanza Province, Luo tribe | 1.0 | 0.0050 | | 100 | See | | |
|
26,539 |
A*68:01 | | Kosovo | 11.3 | 0.0565 | | 124 | See | | |
|
26,540 |
A*68:01 | | Malaysia Patani | 4.0 | 0.0200 | | 25 | See | | |
|
26,541 |
A*68:01 | | Malaysia Peninsular Indian | 6.6 | 0.0332 | | 271 | See | | |
|
26,542 |
A*68:01 | | Malaysia Peninsular Malay | 2.5 | 0.0121 | | 951 | See | | |
|
26,543 |
A*68:01 | | Mali Bandiagara | | 0.0360 | | 138 | See | | | |
26,544 |
A*68:01 | | Mexico Chiapas Lacandon Mayans | | 0.1445 | | 218 | See | | |
|
26,545 |
A*68:01 | | Mexico Chichen Itza Maya (prehispanic) | | 0.2447 | | 47 | See | | |
|
26,546 |
A*68:01 | | Mexico Chihuahua Chihuahua City Pop 2 | 9.1 | 0.0455 | | 88 | See | | |
|
26,547 |
A*68:01 | | Mexico Chihuahua Tarahumara | | 0.0910 | | 44 | See | | | |
26,548 |
A*68:01 | | Mexico Mexico City Mestizo pop 2 | | 0.0791 | | 234 | See | | | |
26,549 |
A*68:01 | | Mexico Mexico City Mestizo population | | 0.0490 | | 143 | See | | |
|
26,550 |
A*68:01 | | Mexico Mexico City Tlalpan | 25.8 | 0.1379 | | 330 | See | | |
|
26,551 |
A*68:01 | | Mexico Mixtec | | 0.0360 | | 97 | See | | | |
26,552 |
A*68:01 | | Mexico Oaxaca Jamiltepec Mixtec | | 0.0360 | | 96 | See | | |
|
26,553 |
A*68:01 | | Mexico Sonora Seri | | 0.0150 | | 34 | See | | | |
26,554 |
A*68:01 | | Mexico Tixcacaltuyub Maya | | 0.1343 | | 67 | See | | |
|
26,555 |
A*68:01 | | Mexico Veracruz Xalapa | 33.3 | 0.1786 | | 84 | See | | |
|
26,556 |
A*68:01 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
26,557 |
A*68:01 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
26,558 |
A*68:01 | | Netherlands Leiden | | 0.0430 | | 1,305 | See | | | |
26,559 |
A*68:01 | | Netherlands UMCU | 4.7 | 0.0234 | | 64 | See | | | |
26,560 |
A*68:01 | | New Zealand Maori with Admixed History | 1.0 | 0.0100 | | 105 | See | | |
|
26,561 |
A*68:01 | | Nicaragua Managua | 10.8 | 0.0554 | | 339 | See | | |
|
26,562 |
A*68:01 | | Pakistan Baloch | | 0.0240 | | 66 | See | | | |
26,563 |
A*68:01 | | Pakistan Burusho | | 0.0820 | | 92 | See | | | |
26,564 |
A*68:01 | | Pakistan Mixed Sindhi | | 0.0450 | | 101 | See | | | |
26,565 |
A*68:01 | | Panama | | 0.0713 | | 462 | See | | |
|
26,566 |
A*68:01 | | Philippines Ivatan | 0.0 | 0 | | 50 | See | | | |
26,567 |
A*68:01 | | Poland | | 0.0250 | | 200 | See | | | |
26,568 |
A*68:01 | | Poland DKMS | | 0.0330 | | 20,653 | See | | | |
26,569 |
A*68:01 | | Portugal Azores Terceira Island | 7.9 | 0.0395 | | 130 | See | | |
|
26,570 |
A*68:01 | | Portugal Center | | 0.0600 | | 50 | See | | | |
26,571 |
A*68:01 | | Portugal North | | 0 | | 46 | See | | | |
26,572 |
A*68:01 | | Portugal South | | 0.0300 | | 49 | See | | | |
26,573 |
A*68:01 | | Russia Bering Island Aleuts | | 0.0817 | | 104 | See | | |
|
26,574 |
A*68:01 | | Russia Karelia | | 0.0358 | | 1,075 | See | | |
|
26,575 |
A*68:01 | | Russian Federation Vologda Region | 0.8 | 0.0042 | | 119 | See | | |
|
26,576 |
A*68:01 | | Sao Tome Island Angolar | | 0 | | 32 | See | | | |
26,577 |
A*68:01 | | Sao Tome Island Forro | | 0.0380 | | 66 | See | | | |
26,578 |
A*68:01 | | Saudi Arabia Guraiat and Hail | 9.9 | 0.0560 | | 213 | See | | | |
26,579 |
A*68:01 | | Scotland Orkney | 8.8 | 0.0440 | | 99 | See | | | |
26,580 |
A*68:01 | | Senegal Niokholo Mandenka | | 0.0700 | | 165 | See | | | |
26,581 |
A*68:01 | | Singapore SGVP Chinese CHS | | 0.0050 | | 96 | See | | |
|
26,582 |
A*68:01 | | Singapore SGVP Malay MAS | | 0 | | 89 | See | | |
|
26,583 |
A*68:01 | | Singapore SGVP. Indian INS | | 0.0560 | | 86 | See | | |
|
26,584 |
A*68:01 | | South Africa Worcester | 7.0 | 0.0350 | | 159 | See | | |
|
26,585 |
A*68:01 | | South Korea pop 10 | | 0.0024 | | 4,128 | See | | | |
26,586 |
A*68:01 | | South Korea pop 3 | | 0.0010 | | 485 | See | | | |
26,587 |
A*68:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 4.6 | 0.0230 | | 4,335 | See | | |
|
26,588 |
A*68:01 | | Spain Andalusia | | 0.0150 | | 99 | See | | | |
26,589 |
A*68:01 | | Spain Catalonia Girona | | 0.0230 | | 88 | See | | | |
26,590 |
A*68:01 | | Spain Gipuzkoa Basque | | 0.0100 | | 100 | See | | | |
26,591 |
A*68:01 | | Spain Majorca and Minorca | | 0.0280 | | 90 | See | | | |
26,592 |
A*68:01 | | Sri Lanka Colombo | 11.9 | 0.0640 | | 714 | See | | |
|
26,593 |
A*68:01 | | Sudan East Rashaida | 11.1 | 0.0571 | | 27 | See | | | |
26,594 |
A*68:01 | | Sudan Mixed | 6.0 | 0.0300 | | 200 | See | | | |
26,595 |
A*68:01 | | Sweden Northern Sami | | 0.0140 | | 154 | See | | | |
26,596 |
A*68:01 | | Sweden Southern Sami | | 0.0470 | | 130 | See | | | |
26,597 |
A*68:01 | | Switzerland Aargau-Solothurn | | 0.0439 | | 1,838 | See | | | |
26,598 |
A*68:01 | | Switzerland Basel | | 0.0508 | | 1,888 | See | | | |
26,599 |
A*68:01 | | Switzerland Bern | | 0.0350 | | 3,545 | See | | | |
26,600 |
A*68:01 | | Switzerland Geneva pop 2 | | 0.0200 | | 1,267 | 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.