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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 |
601 |
A*02:01 | | Israel Poland Jews | | 0.1839 | | 13,871 | See | | |
|
602 |
A*02:01 | | Israel Tunisia Jews | | 0.0296 | | 9,070 | See | | |
|
603 |
A*02:01 | | Israel USA Jews | | 0.1896 | | 6,058 | See | | |
|
604 |
A*02:01 | | Israel USSR Jews | | 0.2168 | | 45,681 | See | | |
|
605 |
A*02:01 | | Israel YemenJews | | 0.0271 | | 15,542 | See | | |
|
606 |
A*02:01 | | Italy Bergamo | 46.5 | 0.2800 | | 101 | See | | | |
607 |
A*02:01 | | Italy North Pavia | | 0.0060 | | 81 | See | | | |
608 |
A*02:01 | | Italy North pop 3 | 53.8 | 0.2890 | | 97 | See | | | |
609 |
A*02:01 | | Italy pop 5 | | 0.2410 | | 975 | See | | | |
610 |
A*02:01 | | Japan Central | | 0.1150 | | 371 | See | | | |
611 |
A*02:01 | | Japan Hokkaido Ainu | | 0.2000 | | 50 | See | | | |
612 |
A*02:01 | | Japan pop 16 | | 0.1162 | | 18,604 | See | | | |
613 |
A*02:01 | | Japan pop 3 | | 0.1160 | | 1,018 | See | | | |
614 |
A*02:01 | | Japan pop 5 | | 0.1060 | | 117 | See | | | |
615 |
A*02:01 | | Jordan Amman | | 0.1340 | | 146 | See | | | |
616 |
A*02:01 | | Kenya Luo | | 0.1150 | | 265 | See | | | |
617 |
A*02:01 | | Kenya Nandi | | 0.1180 | | 240 | See | | | |
618 |
A*02:01 | | Kenya, Nyanza Province, Luo tribe | 27.0 | 0.1450 | | 100 | See | | |
|
619 |
A*02:01 | | Kosovo | 52.4 | 0.3186 | | 124 | See | | |
|
620 |
A*02:01 | | Malaysia Champa | 6.9 | 0.0340 | | 29 | See | | |
|
621 |
A*02:01 | | Malaysia Jelebu Temuan | | 0.1460 | | 25 | See | | |
|
622 |
A*02:01 | | Malaysia Kedah Baling Kensiu | | 0.2000 | | 25 | See | | |
|
623 |
A*02:01 | | Malaysia Kedah Kensiu | 57.0 | 0.4050 | | 21 | See | | |
|
624 |
A*02:01 | | Malaysia Kelantan | 3.6 | 0.0180 | | 28 | See | | |
|
625 |
A*02:01 | | Malaysia Mandailing | 55.6 | 0.2960 | | 27 | See | | |
|
626 |
A*02:01 | | Malaysia Pahang Semai | 10.5 | 0.0660 | | 38 | See | | |
|
627 |
A*02:01 | | Malaysia Patani | 16.0 | 0.1000 | | 25 | See | | |
|
628 |
A*02:01 | | Malaysia Peninsular Chinese | 25.3 | 0.1418 | | 194 | See | | |
|
629 |
A*02:01 | | Malaysia Peninsular Indian | 11.4 | 0.0627 | | 271 | See | | |
|
630 |
A*02:01 | | Malaysia Peninsular Malay | 11.6 | 0.0610 | | 951 | See | | |
|
631 |
A*02:01 | | Malaysia Perak Grik Jehai | | 0.1400 | | 25 | See | | |
|
632 |
A*02:01 | | Malaysia Sarawak Bau Bidayuh | | 0.0200 | | 25 | See | | |
|
633 |
A*02:01 | | Mali Bandiagara | | 0.0830 | | 138 | See | | | |
634 |
A*02:01 | | Mexico Chiapas Lacandon Mayans | | 0.0940 | | 218 | See | | |
|
635 |
A*02:01 | | Mexico Chichen Itza Maya (prehispanic) | | 0.0745 | | 47 | See | | |
|
636 |
A*02:01 | | Mexico Chihuahua Chihuahua City Pop 2 | 46.6 | 0.2727 | | 88 | See | | |
|
637 |
A*02:01 | | Mexico Mestizo | 56.1 | 0.3410 | | 41 | See | | | |
638 |
A*02:01 | | Mexico Mexico City Mestizo pop 2 | | 0.2286 | | 234 | See | | | |
639 |
A*02:01 | | Mexico Mexico City Mestizo population | | 0.2028 | | 143 | See | | |
|
640 |
A*02:01 | | Mexico Mexico City Tlalpan | 44.5 | 0.2591 | | 330 | See | | |
|
641 |
A*02:01 | | Mexico Mixtec | | 0.2530 | | 97 | See | | | |
642 |
A*02:01 | | Mexico Oaxaca Jamiltepec Mixtec | | 0.2550 | | 96 | See | | |
|
643 |
A*02:01 | | Mexico Oaxaca Mixe | | 0.3110 | | 55 | See | | | |
644 |
A*02:01 | | Mexico Oaxaca Mixtec | | 0.2840 | | 103 | See | | | |
645 |
A*02:01 | | Mexico Oaxaca Zapotec | | 0.2840 | | 90 | See | | | |
646 |
A*02:01 | | Mexico Sonora Seri | | 0.5450 | | 34 | See | | | |
647 |
A*02:01 | | Mexico Tixcacaltuyub Maya | | 0.0299 | | 67 | See | | |
|
648 |
A*02:01 | | Mexico Veracruz Xalapa | 47.6 | 0.2738 | | 84 | See | | |
|
649 |
A*02:01 | | Netherlands Leiden | | 0.2920 | | 1,305 | See | | | |
650 |
A*02:01 | | Netherlands UMCU | 45.3 | 0.2812 | | 64 | See | | | |
651 |
A*02:01 | | New Caledonia | | 0.0240 | | 65 | See | | | |
652 |
A*02:01 | | New Zealand Maori with Admixed History | 16.2 | 0.0810 | | 105 | See | | |
|
653 |
A*02:01 | | New Zealand Maori with Full Ancestry | 6.5 | 0.0330 | | 46 | See | | |
|
654 |
A*02:01 | | New Zealand Polynesians with Admixed History | 22.2 | 0.1110 | | 27 | See | | |
|
655 |
A*02:01 | | New Zealand Polynesians with Full Ancestry | 19.0 | 0.0950 | | 21 | See | | |
|
656 |
A*02:01 | | Nicaragua Managua | 32.0 | 0.1766 | | 339 | See | | |
|
657 |
A*02:01 | | Oman | 39.8 | 0.2160 | | 118 | See | | | |
658 |
A*02:01 | | Pakistan Baloch | | 0.0950 | | 66 | See | | | |
659 |
A*02:01 | | Pakistan Brahui | | 0.1150 | | 104 | See | | | |
660 |
A*02:01 | | Pakistan Burusho | | 0.0540 | | 92 | See | | | |
661 |
A*02:01 | | Pakistan Kalash | | 0.1580 | | 69 | See | | | |
662 |
A*02:01 | | Pakistan Karachi Parsi | | 0.0280 | | 91 | See | | | |
663 |
A*02:01 | | Pakistan Mixed Pathan | | 0.0820 | | 100 | See | | | |
664 |
A*02:01 | | Pakistan Mixed Sindhi | | 0.0700 | | 101 | See | | | |
665 |
A*02:01 | | Panama | | 0.1493 | | 462 | See | | |
|
666 |
A*02:01 | | Papua New Guinea East New Britain Rabaul | | 0 | | 60 | See | | | |
667 |
A*02:01 | | Papua New Guinea Eastern Highlands Goroka Asaro | | 0 | | 57 | See | | | |
668 |
A*02:01 | | Papua New Guinea Karimui Plateau Pawaia | | 0 | | 80 | See | | | |
669 |
A*02:01 | | Papua New Guinea Madang | | 0 | | 65 | See | | | |
670 |
A*02:01 | | Papua New Guinea Wanigela Keapara | | 0.0210 | | 66 | See | | | |
671 |
A*02:01 | | Papua New Guinea West Schrader Ranges Haruai | | 0 | | 55 | See | | | |
672 |
A*02:01 | | Papua New Guinea Wosera Abelam | | 0 | | 131 | See | | | |
673 |
A*02:01 | | Peru Titikaka Lake Uro | | 0.5000 | | 105 | See | | | |
674 |
A*02:01 | | Peru Titikaka Lake Uros | | 0.5000 | | 105 | See | | |
|
675 |
A*02:01 | | Philippines Ivatan | 48.0 | 0.3000 | | 50 | See | | | |
676 |
A*02:01 | | Poland | | 0.1930 | | 200 | See | | | |
677 |
A*02:01 | | Poland DKMS | | 0.2849 | | 20,653 | See | | | |
678 |
A*02:01 | | Portugal Azores Terceira Island | 42.1 | 0.2325 | | 130 | See | | |
|
679 |
A*02:01 | | Portugal Center | | 0.2600 | | 50 | See | | | |
680 |
A*02:01 | | Portugal North | | 0.2930 | | 46 | See | | | |
681 |
A*02:01 | | Portugal South | | 0.2350 | | 49 | See | | | |
682 |
A*02:01 | | Romania | 43.7 | 0.2500 | | 348 | See | | | |
683 |
A*02:01 | | Russia Belgorod region | 0.7 | 0.0033 | | 153 | See | | |
|
684 |
A*02:01 | | Russia Bering Island Aleuts | | 0.2260 | | 104 | See | | |
|
685 |
A*02:01 | | Russia Karelia | | 0.2963 | | 1,075 | See | | |
|
686 |
A*02:01 | | Russia Tuva pop 2 | | 0.1430 | | 169 | See | | | |
687 |
A*02:01 | | Sao Tome Island Angolar | | 0.0630 | | 32 | See | | | |
688 |
A*02:01 | | Sao Tome Island Forro | | 0.1280 | | 66 | See | | | |
689 |
A*02:01 | | Saudi Arabia Guraiat and Hail | 33.3 | 0.1900 | | 213 | See | | | |
690 |
A*02:01 | | Senegal Niokholo Mandenka | | 0.0810 | | 165 | See | | | |
691 |
A*02:01 | | Singapore Chinese | 19.5 | 0.1040 | | 149 | See | | | |
692 |
A*02:01 | | Singapore Chinese Han | | 0.0760 | | 94 | See | | | |
693 |
A*02:01 | | Singapore Javaneses | | 0.0400 | | 51 | See | | | |
694 |
A*02:01 | | Singapore Riau Malay | | 0.0650 | | 132 | See | | | |
695 |
A*02:01 | | Singapore SGVP Chinese CHS | | 0.1090 | | 96 | See | | |
|
696 |
A*02:01 | | Singapore SGVP Malay MAS | | 0.1190 | | 89 | See | | |
|
697 |
A*02:01 | | Singapore SGVP. Indian INS | | 0.0750 | | 86 | See | | |
|
698 |
A*02:01 | | Singapore Thai | | 0.0310 | | 100 | See | | | |
699 |
A*02:01 | | South Africa Natal Tamil | | 0.0100 | | 51 | See | | | |
700 |
A*02:01 | | South Africa Natal Zulu | 5.0 | 0.0250 | | 100 | 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 601 to 700
(from 790) records |
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