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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*02:01 | | Ecuador Amerindians | | 0.2540 | | 63 | See | | |
|
1,602 |
A*02:01 | | Ecuador Cayapa | | 0.0900 | | 183 | See | | | |
1,603 |
A*02:01 | | England North West | 50.7 | 0.2890 | | 298 | See | | | |
1,604 |
A*02:01 | | Finland | | 0.3440 | | 91 | See | | | |
1,605 |
A*02:01 | | France French Bone Marrow Donor Registry | | 0.2901 | | 42,623 | See | | | |
1,606 |
A*02:01 | | France Southeast | 38.5 | 0.2160 | | 130 | See | | | |
1,607 |
A*02:01 | | Gaza | 23.8 | 0.1190 | | 42 | See | | |
|
1,608 |
A*02:01 | | Georgia Svaneti Region Svan | | 0.2130 | | 80 | See | | | |
1,609 |
A*02:01 | | Georgia Tibilisi | | 0.3100 | | 109 | See | | | |
1,610 |
A*02:01 | | Georgia Tibilisi Kurd | | 0.0830 | | 31 | See | | | |
1,611 |
A*02:01 | | Germany DKMS - Austria minority | | 0.2677 | | 1,698 | See | | | |
1,612 |
A*02:01 | | Germany DKMS - Bosnia and Herzegovina minority | | 0.3050 | | 1,028 | See | | | |
1,613 |
A*02:01 | | Germany DKMS - China minority | | 0.1226 | | 1,282 | See | | | |
1,614 |
A*02:01 | | Germany DKMS - Croatia minority | | 0.2842 | | 2,057 | See | | | |
1,615 |
A*02:01 | | Germany DKMS - France minority | | 0.2572 | | 1,406 | See | | | |
1,616 |
A*02:01 | | Germany DKMS - German donors | | 0.2839 | | 3,456,066 | See | | |
|
1,617 |
A*02:01 | | Germany DKMS - Greece minority | | 0.2629 | | 1,894 | See | | | |
1,618 |
A*02:01 | | Germany DKMS - Italy minority | | 0.2252 | | 1,159 | See | | | |
1,619 |
A*02:01 | | Germany DKMS - Netherlands minority | | 0.2956 | | 1,374 | See | | | |
1,620 |
A*02:01 | | Germany DKMS - Portugal minority | | 0.2564 | | 1,176 | See | | | |
1,621 |
A*02:01 | | Germany DKMS - Romania minority | | 0.2763 | | 1,234 | See | | | |
1,622 |
A*02:01 | | Germany DKMS - Spain minority | | 0.2367 | | 1,107 | See | | | |
1,623 |
A*02:01 | | Germany DKMS - Turkey minority | | 0.1957 | | 4,856 | See | | | |
1,624 |
A*02:01 | | Germany DKMS - United Kingdom minority | | 0.2739 | | 1,043 | See | | | |
1,625 |
A*02:01 | | Germany pop 6 | | 0.2888 | | 8,862 | See | | | |
1,626 |
A*02:01 | | Germany pop 8 | | 0.2667 | | 39,689 | See | | | |
1,627 |
A*02:01 | | Ghana Ga-Adangbe | 19.1 | 0.1069 | | 131 | See | | | |
1,628 |
A*02:01 | | Greece pop 6 | | 0.2624 | | 242 | See | | | |
1,629 |
A*02:01 | | Greece pop 8 | 51.8 | 0.3072 | | 83 | See | | | |
1,630 |
A*02:01 | | Guinea Bissau Balanta | | 0.1350 | | 48 | See | | | |
1,631 |
A*02:01 | | Guinea Bissau Bijago | | 0.0870 | | 23 | See | | | |
1,632 |
A*02:01 | | Guinea Bissau Fula | | 0.1130 | | 31 | See | | | |
1,633 |
A*02:01 | | Guinea Bissau Papel | | 0.0400 | | 25 | See | | | |
1,634 |
A*02:01 | | Hong Kong Chinese | 11.9 | 0.0620 | | 569 | See | | | |
1,635 |
A*02:01 | | Hong Kong Chinese BMDR | | 0.1891 | | 7,595 | See | | |
|
1,636 |
A*02:01 | | Hong Kong Chinese cord blood registry | | 0.1867 | | 3,892 | See | | |
|
1,637 |
A*02:01 | | India Andhra Pradesh Golla | | 0.0340 | | 111 | See | | | |
1,638 |
A*02:01 | | India Delhi pop 2 | 3.3 | 0.0170 | | 90 | See | | | |
1,639 |
A*02:01 | | India Khandesh Region Pawra | | 0 | | 50 | See | | | |
1,640 |
A*02:01 | | India Mumbai Maratha | | 0.0190 | | 91 | See | | | |
1,641 |
A*02:01 | | India New Delhi | | 0.0610 | | 71 | See | | | |
1,642 |
A*02:01 | | India North pop 2 | | 0.0580 | | 72 | See | | | |
1,643 |
A*02:01 | | India Tamil Nadu | | 0.0539 | | 2,492 | See | | |
|
1,644 |
A*02:01 | | India West Bhil | | 0 | | 50 | See | | | |
1,645 |
A*02:01 | | India West Coast Parsi | | 0 | | 50 | See | | | |
1,646 |
A*02:01 | | Indonesia Java Western | 12.7 | 0.0660 | | 236 | See | | | |
1,647 |
A*02:01 | | Iran Gorgan | | 0.1090 | | 64 | See | | |
|
1,648 |
A*02:01 | | Iran Kurd pop 2 | | 0.1250 | | 60 | See | | |
|
1,649 |
A*02:01 | | Iran Saqqez-Baneh Kurds | | 0.1250 | | 60 | See | | |
|
1,650 |
A*02:01 | | Iran Tabriz Azeris | | 0.1340 | | 97 | See | | |
|
1,651 |
A*02:01 | | Iran Yazd | | 0.1875 | | 56 | See | | |
|
1,652 |
A*02:01 | | Ireland Northern | 46.8 | 0.2740 | | 1,000 | See | | | |
1,653 |
A*02:01 | | Ireland South | 43.6 | 0.2460 | | 250 | See | | | |
1,654 |
A*02:01 | | Israel Arab Druze | | 0.1550 | | 101 | See | | | |
1,655 |
A*02:01 | | Israel Arab pop 2 | | 0.1498 | | 12,301 | See | | |
|
1,656 |
A*02:01 | | Israel Argentina Jews | | 0.1839 | | 4,307 | See | | |
|
1,657 |
A*02:01 | | Israel Ashkenazi and Non Ashkenazi Jews | | 0.1280 | | 146 | See | | | |
1,658 |
A*02:01 | | Israel Ashkenazi Jews pop 3 | | 0.1539 | | 4,625 | See | | |
|
1,659 |
A*02:01 | | Israel Bukhara Jews | | 0.0531 | | 2,317 | See | | |
|
1,660 |
A*02:01 | | Israel Druze | | 0.0302 | | 5,914 | See | | |
|
1,661 |
A*02:01 | | Israel Ethiopia Jews | | 0.0628 | | 5,928 | See | | |
|
1,662 |
A*02:01 | | Israel Georgia Jews | | 0.1520 | | 4,471 | See | | |
|
1,663 |
A*02:01 | | Israel Iran Jews | | 0.0126 | | 8,153 | See | | |
|
1,664 |
A*02:01 | | Israel Iraq Jews | | 0.0192 | | 13,270 | See | | |
|
1,665 |
A*02:01 | | Israel Kavkazi Jews | | 0.0998 | | 2,840 | See | | |
|
1,666 |
A*02:01 | | Israel Libya Jews | | 0.2012 | | 3,739 | See | | |
|
1,667 |
A*02:01 | | Israel Morocco Jews | | 0.0248 | | 36,718 | See | | |
|
1,668 |
A*02:01 | | Israel Poland Jews | | 0.1839 | | 13,871 | See | | |
|
1,669 |
A*02:01 | | Israel Tunisia Jews | | 0.0296 | | 9,070 | See | | |
|
1,670 |
A*02:01 | | Israel USA Jews | | 0.1896 | | 6,058 | See | | |
|
1,671 |
A*02:01 | | Israel USSR Jews | | 0.2168 | | 45,681 | See | | |
|
1,672 |
A*02:01 | | Israel YemenJews | | 0.0271 | | 15,542 | See | | |
|
1,673 |
A*02:01 | | Italy Bergamo | 46.5 | 0.2800 | | 101 | See | | | |
1,674 |
A*02:01 | | Italy North Pavia | | 0.0060 | | 81 | See | | | |
1,675 |
A*02:01 | | Italy North pop 3 | 53.8 | 0.2890 | | 97 | See | | | |
1,676 |
A*02:01 | | Italy pop 5 | | 0.2410 | | 975 | See | | | |
1,677 |
A*02:01 | | Japan Central | | 0.1150 | | 371 | See | | | |
1,678 |
A*02:01 | | Japan Hokkaido Ainu | | 0.2000 | | 50 | See | | | |
1,679 |
A*02:01 | | Japan pop 16 | | 0.1162 | | 18,604 | See | | | |
1,680 |
A*02:01 | | Japan pop 3 | | 0.1160 | | 1,018 | See | | | |
1,681 |
A*02:01 | | Japan pop 5 | | 0.1060 | | 117 | See | | | |
1,682 |
A*02:01 | | Jordan Amman | | 0.1340 | | 146 | See | | | |
1,683 |
A*02:01 | | Kenya Luo | | 0.1150 | | 265 | See | | | |
1,684 |
A*02:01 | | Kenya Nandi | | 0.1180 | | 240 | See | | | |
1,685 |
A*02:01 | | Kenya, Nyanza Province, Luo tribe | 27.0 | 0.1450 | | 100 | See | | |
|
1,686 |
A*02:01 | | Kosovo | 52.4 | 0.3186 | | 124 | See | | |
|
1,687 |
A*02:01 | | Malaysia Champa | 6.9 | 0.0340 | | 29 | See | | |
|
1,688 |
A*02:01 | | Malaysia Jelebu Temuan | | 0.1460 | | 25 | See | | |
|
1,689 |
A*02:01 | | Malaysia Kedah Baling Kensiu | | 0.2000 | | 25 | See | | |
|
1,690 |
A*02:01 | | Malaysia Kedah Kensiu | 57.0 | 0.4050 | | 21 | See | | |
|
1,691 |
A*02:01 | | Malaysia Kelantan | 3.6 | 0.0180 | | 28 | See | | |
|
1,692 |
A*02:01 | | Malaysia Mandailing | 55.6 | 0.2960 | | 27 | See | | |
|
1,693 |
A*02:01 | | Malaysia Pahang Semai | 10.5 | 0.0660 | | 38 | See | | |
|
1,694 |
A*02:01 | | Malaysia Patani | 16.0 | 0.1000 | | 25 | See | | |
|
1,695 |
A*02:01 | | Malaysia Peninsular Chinese | 25.3 | 0.1418 | | 194 | See | | |
|
1,696 |
A*02:01 | | Malaysia Peninsular Indian | 11.4 | 0.0627 | | 271 | See | | |
|
1,697 |
A*02:01 | | Malaysia Peninsular Malay | 11.6 | 0.0610 | | 951 | See | | |
|
1,698 |
A*02:01 | | Malaysia Perak Grik Jehai | | 0.1400 | | 25 | See | | |
|
1,699 |
A*02:01 | | Malaysia Sarawak Bau Bidayuh | | 0.0200 | | 25 | See | | |
|
1,700 |
A*02:01 | | Mali Bandiagara | | 0.0830 | | 138 | 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 151,041) records |
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