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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 |  | Thailand pop 4 | | 0.2920 |  | 16,807 | See |  |  | |
602 |
A*02 |  | Tunisia Ghannouch | | 0.1460 |  | 82 | See |  |  | |
603 |
A*02 |  | Tunisia pop 3 | | 0.1810 |  | 104 | See |  |  | |
604 |
A*02 |  | Turkey pop 2 | | 0.2190 |  | 228 | See |  |  | |
605 |
A*02 |  | United Kingdom pop 2 | | 0.2700 |  | 101 | See |  |  | |
606 |
A*02 |  | USA OPTN African American | | 0.1850 |  | 1,510 | See |  |  | |
607 |
A*02 |  | USA OPTN Asian | | 0.2700 |  | 261 | See |  |  | |
608 |
A*02 |  | USA OPTN Caucasian | | 0.2930 |  | 8,525 | See |  |  | |
609 |
A*02 |  | USA OPTN Hispanic | | 0.2780 |  | 1,580 | See |  |  | |
610 |
A*02 |  | Venezuela Caracas Mestizo | | 0.3400 |  | 50 | See |  |  | |
611 |
A*02 |  | Venezuela Colonia Tovar | | 0.2151 |  | 86 | See |  |  | |
612 |
A*02 |  | Vietnam Hanoi | | 0.2500 |  | 50 | See |  |  | |
613 |
A*02 |  | Wales | 51.3 | 0.3020 |  | 1,798 | See |  |  | |
614 |
A*02:01 |  | Argentina Gran Chaco Eastern Toba | 46.4 | 0.3040 |  | 135 | See |  |  | |
615 |
A*02:01 |  | Argentina Gran Chaco Mataco Wichi | 40.9 | 0.2160 |  | 49 | See |  |  | |
616 |
A*02:01 |  | Argentina Gran Chaco Western Toba Pilaga | 60.0 | 0.4000 |  | 19 | See |  |  | |
617 |
A*02:01 |  | Australia Cape York Peninsula Aborigine | | 0.1750 |  | 103 | See |  |  | |
618 |
A*02:01 |  | Australia Groote Eylandt Aborigine | | 0.1070 |  | 75 | See |  |  | |
619 |
A*02:01 |  | Australia Kimberly Aborigine | | 0.1110 |  | 41 | See |  |  | |
620 |
A*02:01 |  | Australia New South Wales Caucasian | | 0.2610 |  | 134 | See |  |  | |
621 |
A*02:01 |  | Australia Yuendumu Aborigine | | 0.1130 |  | 191 | See |  |  | |
622 |
A*02:01 |  | Azores Central Islands | | 0.2590 |  | 59 | See |  |  | |
623 |
A*02:01 |  | Azores Oriental Islands | | 0.2560 |  | 43 | See |  |  | |
624 |
A*02:01 |  | Belgium | 50.0 | 0.2660 |  | 99 | See |  |  | |
625 |
A*02:01 |  | Brazil Belo Horizonte Caucasian | 43.2 | 0.2370 |  | 95 | See |  |  | |
626 |
A*02:01 |  | Brazil Terena | 38.3 | 0.2080 |  | 60 | See |  |  | |
627 |
A*02:01 |  | Burkina Faso Fulani | | 0.0510 |  | 49 | See |  |  | |
628 |
A*02:01 |  | Burkina Faso Rimaibe | | 0.1380 |  | 47 | See |  |  | |
629 |
A*02:01 |  | Cameroon Baka Pygmy | | 0 |  | 10 | See |  |  | |
630 |
A*02:01 |  | Cameroon Bamileke | | 0.0110 |  | 77 | See |  |  | |
631 |
A*02:01 |  | Cameroon Beti | | 0.1120 |  | 174 | See |  |  | |
632 |
A*02:01 |  | Cameroon Sawa | | 0.0380 |  | 13 | See |  |  | |
633 |
A*02:01 |  | Cameroon Yaounde | | 0.0710 |  | 92 | See |  |  | |
634 |
A*02:01 |  | Chile Easter Island | | 0.0950 |  | 21 | See |  |  | |
635 |
A*02:01 |  | China Beijing | | 0.1870 |  | 67 | See |  |  | |
636 |
A*02:01 |  | China Beijing Shijiazhuang Tianjian Han | | 0.1580 |  | 618 | See |  |  | |
637 |
A*02:01 |  | China Canton Han | | 0.1530 |  | 264 | See |  |  | |
638 |
A*02:01 |  | China Guangxi Region Maonan | | 0.0460 |  | 108 | See |  |  | |
639 |
A*02:01 |  | China Guangzhou | | 0.1280 |  | 102 | See |  |  | |
640 |
A*02:01 |  | China Guizhou Province Bouyei | | 0.0210 |  | 109 | See |  |  | |
641 |
A*02:01 |  | China Guizhou Province Miao pop 2 | | 0.0240 |  | 85 | See |  |  | |
642 |
A*02:01 |  | China Guizhou Province Shui | | 0.0450 |  | 153 | See |  |  | |
643 |
A*02:01 |  | China Inner Mongolia Region | | 0.1270 |  | 102 | See |  |  | |
644 |
A*02:01 |  | China North Han | | 0 |  | 105 | See |  |  | |
645 |
A*02:01 |  | China Qinghai Province Hui | | 0.1730 |  | 110 | See |  |  | |
646 |
A*02:01 |  | China Southwest Dai | | 0.0160 |  | 124 | See |  |  | |
647 |
A*02:01 |  | China Tibet Region Tibetan | | 0.2180 |  | 158 | See |  |  | |
648 |
A*02:01 |  | China Yunnan Province Han | | 0.0100 |  | 101 | See |  |  | |
649 |
A*02:01 |  | China Yunnan Province Lisu | | 0.0850 |  | 111 | See |  |  | |
650 |
A*02:01 |  | China Yunnan Province Nu | | 0.0890 |  | 107 | See |  |  | |
651 |
A*02:01 |  | Cuba Caucasian | 34.3 | 0.1790 |  | 70 | See |  |  | |
652 |
A*02:01 |  | Cuba Mixed Race | 31.0 | 0.1790 |  | 42 | See |  |  | |
653 |
A*02:01 |  | Ecuador Cayapa | | 0.0900 |  | 183 | See |  |  | |
654 |
A*02:01 |  | England North West | 50.7 | 0.2890 |  | 298 | See |  |  | |
655 |
A*02:01 |  | Georgia Svaneti Region Svan | | 0.2130 |  | 80 | See |  |  | |
656 |
A*02:01 |  | Germany DKMS - Austria minority | | 0.2677 |  | 1,698 | See |  |  | |
657 |
A*02:01 |  | Germany DKMS - Bosnia and Herzegovina minority | | 0.3050 |  | 1,028 | See |  |  | |
658 |
A*02:01 |  | Germany DKMS - China minority | | 0.1226 |  | 1,282 | See |  |  | |
659 |
A*02:01 |  | Germany DKMS - Croatia minority | | 0.2842 |  | 2,057 | See |  |  | |
660 |
A*02:01 |  | Germany DKMS - France minority | | 0.2572 |  | 1,406 | See |  |  | |
661 |
A*02:01 |  | Germany DKMS - Greece minority | | 0.2629 |  | 1,894 | See |  |  | |
662 |
A*02:01 |  | Germany DKMS - Italy minority | | 0.2252 |  | 1,159 | See |  |  | |
663 |
A*02:01 |  | Germany DKMS - Netherlands minority | | 0.2956 |  | 1,374 | See |  |  | |
664 |
A*02:01 |  | Germany DKMS - Portugal minority | | 0.2564 |  | 1,176 | See |  |  | |
665 |
A*02:01 |  | Germany DKMS - Romania minority | | 0.2763 |  | 1,234 | See |  |  | |
666 |
A*02:01 |  | Germany DKMS - Spain minority | | 0.2367 |  | 1,107 | See |  |  | |
667 |
A*02:01 |  | Germany DKMS - Turkey minority | | 0.1957 |  | 4,856 | See |  |  | |
668 |
A*02:01 |  | Germany DKMS - United Kingdom minority | | 0.2739 |  | 1,043 | See |  |  | |
669 |
A*02:01 |  | Germany pop 6 | | 0.2888 |  | 8,862 | See |  |  | |
670 |
A*02:01 |  | Ghana Ga-Adangbe | 19.1 | 0.1069 |  | 131 | See |  |  | |
671 |
A*02:01 |  | Greece pop 6 | | 0.2624 |  | 242 | See |  |  | |
672 |
A*02:01 |  | Guinea Bissau Balanta | | 0.1350 |  | 48 | See |  |  | |
673 |
A*02:01 |  | Guinea Bissau Bijago | | 0.0870 |  | 23 | See |  |  | |
674 |
A*02:01 |  | Guinea Bissau Fula | | 0.1130 |  | 31 | See |  |  | |
675 |
A*02:01 |  | Guinea Bissau Papel | | 0.0400 |  | 25 | See |  |  | |
676 |
A*02:01 |  | India Delhi pop 2 | 3.3 | 0.0170 |  | 90 | See |  |  | |
677 |
A*02:01 |  | India Khandesh Region Pawra | | 0 |  | 50 | See |  |  | |
678 |
A*02:01 |  | India Mumbai Maratha | | 0.0190 |  | 91 | See |  |  | |
679 |
A*02:01 |  | India North pop 2 | | 0.0580 |  | 72 | See |  |  | |
680 |
A*02:01 |  | India West Bhil | | 0 |  | 50 | See |  |  | |
681 |
A*02:01 |  | India West Coast Parsi | | 0 |  | 50 | See |  |  | |
682 |
A*02:01 |  | Indonesia Java Western | 12.7 | 0.0660 |  | 236 | See |  |  | |
683 |
A*02:01 |  | Ireland Northern | 46.8 | 0.2740 |  | 1,000 | See |  |  | |
684 |
A*02:01 |  | Italy Bergamo | 46.5 | 0.2800 |  | 101 | See |  |  | |
685 |
A*02:01 |  | Italy North pop 3 | 53.8 | 0.2890 |  | 97 | See |  |  | |
686 |
A*02:01 |  | Italy pop 5 | | 0.2410 |  | 975 | See |  |  | |
687 |
A*02:01 |  | Japan Central | | 0.1150 |  | 371 | See |  |  | |
688 |
A*02:01 |  | Japan Hokkaido Ainu | | 0.2000 |  | 50 | See |  |  | |
689 |
A*02:01 |  | Japan pop 3 | | 0.1160 |  | 1,018 | See |  |  | |
690 |
A*02:01 |  | Japan pop 5 | | 0.1060 |  | 117 | See |  |  | |
691 |
A*02:01 |  | Jordan Amman | | 0.1340 |  | 146 | See |  |  | |
692 |
A*02:01 |  | Kenya Luo | | 0.1150 |  | 265 | See |  |  | |
693 |
A*02:01 |  | Kenya Nandi | | 0.1180 |  | 240 | See |  |  | |
694 |
A*02:01 |  | Malaysia Jelebu Temuan | | 0.1460 |  | 25 | See |  |  |
|
695 |
A*02:01 |  | Malaysia Kedah Baling Kensiu | | 0.2000 |  | 25 | See |  |  |
|
696 |
A*02:01 |  | Malaysia Perak Grik Jehai | | 0.1400 |  | 25 | See |  |  |
|
697 |
A*02:01 |  | Malaysia Sarawak Bau Bidayuh | | 0.0200 |  | 25 | See |  |  |
|
698 |
A*02:01 |  | Mali Bandiagara | | 0.0830 |  | 138 | See |  |  | |
699 |
A*02:01 |  | Mexico Mestizo | 56.1 | 0.3410 |  | 41 | See |  |  | |
700 |
A*02:01 |  | Mexico Mexico City Mestizo pop 2 | | 0.2286 |  | 234 | 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 60,683) records |
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