Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
701 |
A*01:01 |  | USA NMDP Middle Eastern or North Coast of Africa | | 0.1350 |  | 70,890 | See |  |  | |
702 |
A*01:01 |  | USA NMDP North American Amerindian | | 0.1202 |  | 35,791 | See |  |  | |
703 |
A*01:01 |  | USA NMDP South Asian Indian | | 0.1545 |  | 185,391 | See |  |  | |
704 |
A*01:01 |  | USA NMDP Southeast Asian | | 0.1147 |  | 27,978 | See |  |  | |
705 |
A*01:01 |  | USA NMDP Vietnamese | | 0.0332 |  | 43,540 | See |  |  | |
706 |
A*01:01 |  | USA North American Native | | 0.0750 |  | 187 | See |  |  | |
707 |
A*01:01 |  | USA Philadelphia Caucasian | 21.5 | 0.1190 |  | 141 | See |  |  | |
708 |
A*01:01 |  | USA San Antonio Caucasian | | 0.1506 |  | 222 | See |  |  | |
709 |
A*01:01 |  | USA San Diego | 20.0 | 0.1060 |  | 496 | See |  |  |
|
710 |
A*01:01 |  | USA San Francisco Caucasian | | 0.1600 |  | 220 | See |  |  | |
711 |
A*01:01 |  | USA South Dakota Lakota Sioux | | 0.0120 |  | 302 | See |  |  | |
712 |
A*01:01 |  | USA South Texas Hispanic | | 0.0600 |  | 194 | See |  |  | |
713 |
A*01:01 |  | Venezuela Perja Mountain Bari | | 0.0110 |  | 55 | See |  |  | |
714 |
A*01:01 |  | Vietnam Hanoi Kinh pop 2 | | 0.0380 |  | 170 | See |  |  | |
715 |
A*01:01 |  | Zambia Lusaka | | 0.0350 |  | 44 | See |  |  | |
716 |
A*01:01 |  | Zimbabwe Harare Shona | | 0.0040 |  | 230 | See |  |  | |
717 |
A*01:01:01 |  | Brazil Barra Mansa Rio State Black | | 0.0822 |  | 73 | See |  |  |
|
718 |
A*01:01:01 |  | Brazil Barra Mansa Rio State Caucasian | | 0.1173 |  | 405 | See |  |  |
|
719 |
A*01:01:01 |  | Brazil Rio de Janeiro Black | | 0.0515 |  | 68 | See |  |  |
|
720 |
A*01:01:01 |  | Brazil Rio de Janeiro Caucasian | | 0.0988 |  | 521 | See |  |  |
|
721 |
A*01:01:01 |  | Brazil Rio de Janeiro Parda | | 0.0794 |  | 170 | See |  |  |
|
722 |
A*01:01:01 |  | Bulgaria | | 0.0730 |  | 55 | See |  |  | |
723 |
A*01:01:01 |  | Cape Verde Northwestern Islands | | 0.0480 |  | 62 | See |  |  | |
724 |
A*01:01:01 |  | Cape Verde Southeastern Islands | | 0.0480 |  | 62 | See |  |  | |
725 |
A*01:01:01 |  | China Jingpo Minority | 2.9 | 0.0145 |  | 105 | See |  |  |
|
726 |
A*01:01:01 |  | China North Han | | 0.0710 |  | 105 | See |  |  | |
727 |
A*01:01:01 |  | China Tibet Region Tibetan | | 0.0220 |  | 158 | See |  |  | |
728 |
A*01:01:01 |  | China Zhejiang Han | | 0.0153 |  | 1,734 | See |  |  |
|
729 |
A*01:01:01 |  | Costa Rica African -Caribbean (G) | 8.8 (*) | 0.0440 (*) |  | 102 | See |  |  |
|
730 |
A*01:01:01 |  | Costa Rica Amerindians (G) | 4.8 (*) | 0.0240 (*) |  | 125 | See |  |  |
|
731 |
A*01:01:01 |  | Costa Rica Central Valley Mestizo (G) | 15.3 (*) | 0.0790 (*) |  | 221 | See |  |  |
|
732 |
A*01:01:01 |  | Costa Rica Guanacaste Mestizo (G) | 9.2 (*) | 0.0460 (*) |  | 110 | See |  |  |
|
733 |
A*01:01:01 |  | England Blood Donors of Mixed Ethnicity | 37.4 | 0.2062 |  | 519 | See |  |  |
|
734 |
A*01:01:01 |  | Guinea Bissau | | 0.0460 |  | 65 | See |  |  | |
735 |
A*01:01:01 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 2.0 | 0.0103 |  | 5,266 | See |  |  |
|
736 |
A*01:01:01 |  | India Andhra Pradesh Telugu Speaking | 28.5 | 0.1479 |  | 186 | See |  |  |
|
737 |
A*01:01:01 |  | India Karnataka Kannada Speaking | 30.5 | 0.1580 |  | 174 | See |  |  |
|
738 |
A*01:01:01 |  | India Kerala Malayalam speaking | 16.3 | 0.0857 |  | 356 | See |  |  |
|
739 |
A*01:01:01 |  | Iran Baloch | | 0.0170 |  | 100 | See |  |  | |
740 |
A*01:01:01 |  | Japan Okinawa Ryukyuan | | 0.0040 |  | 143 | See |  |  | |
741 |
A*01:01:01 |  | Latvia | | 0.0985 |  | 266 | See |  |  |
|
742 |
A*01:01:01 |  | Madeira | | 0.0590 |  | 185 | See |  |  | |
743 |
A*01:01:01 |  | Mexico Guadalajara Mestizo pop 2 | | 0.0680 |  | 103 | See |  |  | |
744 |
A*01:01:01 |  | Mexico Hidalgo Mezquital Valley/ Otomi | 8.3 | 0.0556 |  | 72 | See |  |  | |
745 |
A*01:01:01 |  | Mongolia Buryat | | 0.1140 |  | 141 | See |  |  | |
746 |
A*01:01:01 |  | Morocco Atlantic Coast Chaouya | | 0.1280 |  | 98 | See |  |  | |
747 |
A*01:01:01 |  | Morocco Nador Metalsa pop 2 | | 0.1370 |  | 73 | See |  |  | |
748 |
A*01:01:01 |  | Morocco Settat Chaouya | 25.6 | 0.1280 |  | 98 | See |  |  | |
749 |
A*01:01:01 |  | Nicaragua Mestizo (G) | 5.8 (*) | 0.0290 (*) |  | 155 | See |  |  |
|
750 |
A*01:01:01 |  | Poland BMR | 25.6 | 0.1372 |  | 23,595 | See |  |  |
|
751 |
A*01:01:01 |  | Russia Belgorod region | 19.0 | 0.0948 |  | 153 | See |  |  |
|
752 |
A*01:01:01 |  | Russia Bashkortostan, Bashkirs | 0.8 | 0.0083 |  | 120 | See |  |  |
|
753 |
A*01:01:01 |  | Russia Bashkortostan, Tatars | 0.5 | 0.0026 |  | 192 | See |  |  |
|
754 |
A*01:01:01 |  | Russia Nizhny Novgorod, Russians | 1.0 | 0.0050 |  | 1,510 | See |  |  |
|
755 |
A*01:01:01 |  | Russian Federation Vologda Region | 20.2 | 0.1050 |  | 119 | See |  |  |
|
756 |
A*01:01:01 |  | Saudi Arabia pop 6 (G) | | 0.0712 (*) |  | 28,927 | See |  |  | |
757 |
A*01:01:01 |  | South Africa Caucasians | | 0.2000 |  | 102 | See |  |  | |
758 |
A*01:01:01 |  | South African Black | 5.6 | 0.0282 |  | 142 | See |  |  |
|
759 |
A*01:01:01 |  | South African Indian population | 24.0 | 0.1300 |  | 50 | See |  |  |
|
760 |
A*01:01:01 |  | South African Mixed ancestry | 24.0 | 0.1200 |  | 50 | See |  |  |
|
761 |
A*01:01:01 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
762 |
A*01:01:01 |  | Spain, Canary Islands, Gran canaria island | 20.0 | 0.1047 |  | 215 | See |  |  |
|
763 |
A*01:01:01 |  | USA African American pop 3 | | 0.0440 |  | 564 | See |  |  | |
764 |
A*01:01:01 |  | USA Arizona Gila River Pima | | 0.0009 |  | 3,000 | See |  |  | |
765 |
A*01:01:01 |  | USA Eastern European | | 0.1420 |  | 558 | See |  |  | |
766 |
A*01:01:01 |  | USA San Francisco Caucasian | | 0.1600 |  | 220 | See |  |  | |
767 |
A*01:01:01 |  | Vietnam Kinh | 3.0 | 0.0149 |  | 101 | See |  |  |
|
768 |
A*01:01:01:01 |  | Bolivia/Chile Aymara NA-DHS_13 (G) | 5.0 (*) | 0.0250 (*) |  | 20 | See |  |  |
|
769 |
A*01:01:01:01 |  | Canada Chipewyan NA-DHS_2 (G) | 8.0 (*) | 0.0400 (*) |  | 25 | See |  |  |
|
770 |
A*01:01:01:01 |  | Canada Cree NA-DHS_3 (G) | 11.1 (*) | 0.0556 (*) |  | 18 | See |  |  |
|
771 |
A*01:01:01:01 |  | Canada Ojibwa NA-DHS_4 (G) | 20.0 (*) | 0.1000 (*) |  | 16 | See |  |  |
|
772 |
A*01:01:01:01 |  | Chile Huilliche NA-DHS_14 (G) | 10.0 (*) | 0.0500 (*) |  | 20 | See |  |  |
|
773 |
A*01:01:01:01 |  | China Guangdong Province Meizhou Han | | 0.0150 |  | 100 | See |  |  | |
774 |
A*01:01:01:01 |  | Colombia Inga NA-DHS_11 (G) | 6.7 (*) | 0.0333 (*) |  | 16 | See |  |  |
|
775 |
A*01:01:01:01 |  | Colombia Wayuu NA-DHS_15 (G) | 6.7 (*) | 0.0333 (*) |  | 15 | See |  |  |
|
776 |
A*01:01:01:01 |  | Indonesia Java pop 2 | | 0.0280 |  | 36 | See |  |  | |
777 |
A*01:01:01:01 |  | Indonesia Sundanese and Javanese | | 0.0250 |  | 201 | See |  |  | |
778 |
A*01:01:01:01 |  | Libya Cyrenaica | | 0.1140 |  | 118 | See |  |  | |
779 |
A*01:01:01:01 |  | Mexico Mixe NA-DHS_6 (G) | 5.0 (*) | 0.0250 (*) |  | 20 | See |  |  |
|
780 |
A*01:01:01:01 |  | Pakistan Mixed Punjabi | 19.4 | 0.1015 |  | 389 | See |  |  |
|
781 |
A*01:01:01:01 |  | Russia Bashkortostan, Bashkirs | 16.7 | 0.0875 |  | 120 | See |  |  |
|
782 |
A*01:01:01:01 |  | Russia Bashkortostan, Tatars | 23.4 | 0.1276 |  | 192 | See |  |  |
|
783 |
A*01:01:01:01 |  | Russia Nizhny Novgorod, Russians | 22.6 | 0.1162 |  | 1,510 | See |  |  |
|
784 |
A*01:01:01:01 |  | Saudi Arabia pop 5 | 4.4 | 0.0222 |  | 158 | See |  |  | |
785 |
A*01:01:01:01 |  | USA Italy Ancestry | | 0.1520 |  | 273 | See |  |  | |
786 |
A*01:01:01:01 |  | USA Mexican American Mestizo | | 0.0820 |  | 553 | See |  |  |
|
787 |
A*01:01:01:01 |  | USA San Francisco Caucasian | | 0.1600 |  | 220 | See |  |  | |
788 |
A*01:01:01:01 |  | USA Spain Ancestry | | 0.0750 |  | 279 | See |  |  | |
789 |
A*01:01:01:02N |  | Poland BMR | 0.0085 | 0.0000420 |  | 23,595 | See |  |  |
|
790 |
A*01:01:01:04 |  | Pakistan Mixed Punjabi | 0.6 | 0.0026 |  | 389 | See |  |  |
|
791 |
A*01:01:02 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
792 |
A*01:01:02 |  | China North Han | | 0 |  | 105 | See |  |  | |
793 |
A*01:01:02 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
794 |
A*01:01:02 |  | Saudi Arabia pop 5 | 1.3 | 0.0063 |  | 158 | See |  |  | |
795 |
A*01:01:02 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
796 |
A*01:01:03 |  | Latvia | | 0.0038 |  | 266 | See |  |  |
|
797 |
A*01:01:03 |  | Poland BMR | 0.0042 | 0.0000210 |  | 23,595 | See |  |  |
|
798 |
A*01:01:11 |  | Pakistan Mixed Punjabi | 0.2 | 0.0013 |  | 389 | See |  |  |
|
799 |
A*01:01:12 |  | Pakistan Mixed Punjabi | 0.8 | 0.0039 |  | 389 | See |  |  |
|
800 |
A*01:01:33 |  | Russia Nizhny Novgorod, Russians | 0.0662 | 0.0003 |  | 1,510 | See |  |  |
|
* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
: 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).
were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
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
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.