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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 |
29,601 |
A*74:01 |  | Ghana Ga-Adangbe | 10.7 | 0.0534 |  | 131 | See |  |  | |
29,602 |
A*74:01 |  | Guinea Bissau | | 0.0770 |  | 65 | See |  |  | |
29,603 |
A*74:01 |  | Guinea Bissau Balanta | | 0.0940 |  | 48 | See |  |  | |
29,604 |
A*74:01 |  | Guinea Bissau Bijago | | 0.1960 |  | 23 | See |  |  | |
29,605 |
A*74:01 |  | Guinea Bissau Fula | | 0 |  | 31 | See |  |  | |
29,606 |
A*74:01 |  | Guinea Bissau Papel | | 0.1600 |  | 25 | See |  |  | |
29,607 |
A*74:01 |  | Hong Kong Chinese BMDR | | 0.0023 |  | 7,595 | See |  |  |
|
29,608 |
A*74:01 |  | Hong Kong Chinese cord blood registry | | 0.0013 |  | 3,892 | See |  |  |
|
29,609 |
A*74:01 |  | India Central UCBB | 0.0500 | 0.0002 |  | 4,204 | See |  |  |
|
29,610 |
A*74:01 |  | India East UCBB | 0.0400 | 0.0002 |  | 2,403 | See |  |  |
|
29,611 |
A*74:01 |  | India Kerala Malayalam speaking | 0.3 | 0.0014 |  | 356 | See |  |  |
|
29,612 |
A*74:01 |  | India North UCBB | 0.0700 | 0.0003 |  | 5,849 | See |  |  |
|
29,613 |
A*74:01 |  | India West UCBB | 0.0300 | 0.0002 |  | 5,829 | See |  |  |
|
29,614 |
A*74:01 |  | Indonesia Java pop 2 | | 0 |  | 36 | See |  |  | |
29,615 |
A*74:01 |  | Indonesia Sundanese and Javanese | | 0.0030 |  | 201 | See |  |  | |
29,616 |
A*74:01 |  | Iran Baloch | | 0.0280 |  | 100 | See |  |  | |
29,617 |
A*74:01 |  | Israel Arab pop 2 | | 0.0013 |  | 12,301 | See |  |  |
|
29,618 |
A*74:01 |  | Israel Argentina Jews | | 0.0013 |  | 4,307 | See |  |  |
|
29,619 |
A*74:01 |  | Israel Ashkenazi Jews pop 3 | | 0.0000110 |  | 4,625 | See |  |  |
|
29,620 |
A*74:01 |  | Israel Ethiopia Jews | | 0.0201 |  | 5,928 | See |  |  |
|
29,621 |
A*74:01 |  | Israel Georgia Jews | | 0.0004 |  | 4,471 | See |  |  |
|
29,622 |
A*74:01 |  | Israel Iraq Jews | | 0.0002 |  | 13,270 | See |  |  |
|
29,623 |
A*74:01 |  | Israel Morocco Jews | | 0.0014 |  | 36,718 | See |  |  |
|
29,624 |
A*74:01 |  | Israel Poland Jews | | 0.0000060 |  | 13,871 | See |  |  |
|
29,625 |
A*74:01 |  | Israel Tunisia Jews | | 0.0003 |  | 9,070 | See |  |  |
|
29,626 |
A*74:01 |  | Israel USA Jews | | 0.0007 |  | 6,058 | See |  |  |
|
29,627 |
A*74:01 |  | Israel USSR Jews | | 0.0000990 |  | 45,681 | See |  |  |
|
29,628 |
A*74:01 |  | Israel YemenJews | | 0.0003 |  | 15,542 | See |  |  |
|
29,629 |
A*74:01 |  | Italy pop 5 | | 0.0010 |  | 975 | See |  |  | |
29,630 |
A*74:01 |  | Italy Sardinia pop3 | | 0 |  | 100 | See |  |  | |
29,631 |
A*74:01 |  | Jordan Amman | | 0.0070 |  | 146 | See |  |  | |
29,632 |
A*74:01 |  | Kenya | | 0.0940 |  | 144 | See |  |  | |
29,633 |
A*74:01 |  | Kenya Luo | | 0.0720 |  | 265 | See |  |  | |
29,634 |
A*74:01 |  | Kenya Nandi | | 0.0170 |  | 240 | See |  |  | |
29,635 |
A*74:01 |  | Kenya, Nyanza Province, Luo tribe | 18.0 | 0.0950 |  | 100 | See |  |  |
|
29,636 |
A*74:01 |  | Libya Cyrenaica | | 0.0040 |  | 118 | See |  |  | |
29,637 |
A*74:01 |  | Malaysia Champa | 6.9 | 0.0340 |  | 29 | See |  |  |
|
29,638 |
A*74:01 |  | Malaysia Kelantan | 3.6 | 0.0180 |  | 28 | See |  |  |
|
29,639 |
A*74:01 |  | Malaysia Peninsular Malay | 1.4 | 0.0068 |  | 951 | See |  |  |
|
29,640 |
A*74:01 |  | Mali Bandiagara | | 0.0360 |  | 138 | See |  |  | |
29,641 |
A*74:01 |  | Mexico Chihuahua Chihuahua City Pop 2 | 1.1 | 0.0057 |  | 88 | See |  |  |
|
29,642 |
A*74:01 |  | Mexico Mexico City Mestizo pop 2 | | 0.0021 |  | 234 | See |  |  | |
29,643 |
A*74:01 |  | Mexico Mexico City Mestizo population | | 0.0035 |  | 143 | See |  |  |
|
29,644 |
A*74:01 |  | Mexico Mexico City Tlalpan | 0.6 | 0.0030 |  | 330 | See |  |  |
|
29,645 |
A*74:01 |  | Mexico Veracruz Xalapa | 2.4 | 0.0119 |  | 84 | See |  |  |
|
29,646 |
A*74:01 |  | Morocco Atlantic Coast Chaouya | | 0.0070 |  | 98 | See |  |  | |
29,647 |
A*74:01 |  | Morocco Nador Metalsa pop 2 | | 0.0140 |  | 73 | See |  |  | |
29,648 |
A*74:01 |  | Morocco Settat Chaouya | 1.4 | 0.0070 |  | 98 | See |  |  | |
29,649 |
A*74:01 |  | Netherlands Leiden | | 0.0010 |  | 1,305 | See |  |  | |
29,650 |
A*74:01 |  | Nicaragua Managua | 1.5 | 0.0090 |  | 339 | See |  |  |
|
29,651 |
A*74:01 |  | Nicaragua Mestizo (G) | 2.0 (*) | 0.0100 (*) |  | 155 | See |  |  |
|
29,652 |
A*74:01 |  | Panama | | 0.0147 |  | 462 | See |  |  |
|
29,653 |
A*74:01 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
29,654 |
A*74:01 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
29,655 |
A*74:01 |  | Sao Tome Island Angolar | | 0.0630 |  | 32 | See |  |  | |
29,656 |
A*74:01 |  | Sao Tome Island Forro | | 0.0300 |  | 66 | See |  |  | |
29,657 |
A*74:01 |  | Saudi Arabia Guraiat and Hail | 0.9 | 0.0050 |  | 213 | See |  |  | |
29,658 |
A*74:01 |  | Senegal Niokholo Mandenka | | 0.0220 |  | 165 | See |  |  | |
29,659 |
A*74:01 |  | Singapore Riau Malay | | 0.0040 |  | 132 | See |  |  | |
29,660 |
A*74:01 |  | Singapore SGVP Chinese CHS | | 0 |  | 96 | See |  |  |
|
29,661 |
A*74:01 |  | Singapore SGVP Malay MAS | | 0.0120 |  | 89 | See |  |  |
|
29,662 |
A*74:01 |  | Singapore SGVP. Indian INS | | 0 |  | 86 | See |  |  |
|
29,663 |
A*74:01 |  | South Africa Caucasians | | 0 |  | 102 | See |  |  | |
29,664 |
A*74:01 |  | South Africa Worcester | 6.0 | 0.0310 |  | 159 | See |  |  |
|
29,665 |
A*74:01 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
29,666 |
A*74:01 |  | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1 | 0.0006 |  | 4,335 | See |  |  |
|
29,667 |
A*74:01 |  | Spain Catalonia Girona | | 0 |  | 88 | See |  |  | |
29,668 |
A*74:01 |  | Spain Gipuzkoa Basque | | 0 |  | 100 | See |  |  | |
29,669 |
A*74:01 |  | Spain Majorca and Minorca | | 0 |  | 90 | See |  |  | |
29,670 |
A*74:01 |  | Sudan Mixed | 0.5 | 0.0050 |  | 200 | See |  |  | |
29,671 |
A*74:01 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
29,672 |
A*74:01 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
29,673 |
A*74:01 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
29,674 |
A*74:01 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
29,675 |
A*74:01 |  | Taiwan Han Chinese | | 0.0020 |  | 504 | See |  |  | |
29,676 |
A*74:01 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
29,677 |
A*74:01 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
29,678 |
A*74:01 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
29,679 |
A*74:01 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
29,680 |
A*74:01 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
29,681 |
A*74:01 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
29,682 |
A*74:01 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
29,683 |
A*74:01 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
29,684 |
A*74:01 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
29,685 |
A*74:01 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
29,686 |
A*74:01 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
29,687 |
A*74:01 |  | Tanzania Maasai | 8.7 | 0.0433 |  | 336 | See |  |  |
|
29,688 |
A*74:01 |  | Thailand | | 0.0110 |  | 142 | See |  |  | |
29,689 |
A*74:01 |  | Thailand Northeast | | 0.0120 |  | 66 | See |  |  | |
29,690 |
A*74:01 |  | Tunisia Gabes | | 0.0105 |  | 95 | See |  |  | |
29,691 |
A*74:01 |  | Uganda Kampala | | 0.0520 |  | 161 | See |  |  | |
29,692 |
A*74:01 |  | Uganda Kampala pop 2 | | 0.0940 |  | 175 | See |  |  | |
29,693 |
A*74:01 |  | United Arab Emirates Abu Dhabi | | 0.0385 |  | 52 | See |  |  |
|
29,694 |
A*74:01 |  | United Arab Emirates Pop 1 | | 0.0150 |  | 570 | See |  |  |
|
29,695 |
A*74:01 |  | USA African American | | 0.0400 |  | 252 | See |  |  | |
29,696 |
A*74:01 |  | USA African American Bethesda | 10.0 | 0.0500 |  | 187 | See |  |  | |
29,697 |
A*74:01 |  | USA African American pop 2 | | 0.0270 |  | 149 | See |  |  | |
29,698 |
A*74:01 |  | USA African American pop 3 | | 0.0510 |  | 564 | See |  |  | |
29,699 |
A*74:01 |  | USA African American pop 4 | | 0.0522 |  | 2,411 | See |  |  | |
29,700 |
A*74:01 |  | USA Alaska Yupik | | 0 |  | 252 | 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.