Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
701 |
A*01:06 | | Taiwan Tao | 0.0 | 0 | | 50 | See | | | |
702 |
A*01:06 | | Taiwan Taroko | 0.0 | 0 | | 55 | See | | | |
703 |
A*01:06 | | Taiwan Thao | 0.0 | 0 | | 30 | See | | | |
704 |
A*01:06 | | Taiwan Tsou | 0.0 | 0 | | 51 | See | | | |
705 |
A*01:06 | | USA African American Bethesda | 0.0 | 0 | | 187 | See | | | |
706 |
A*01:06 | | USA Caucasian Bethesda | 0.0 | 0 | | 307 | See | | | |
707 |
A*01:06 | | USA NMDP African | | 0.0000400 | | 28,557 | See | | | |
708 |
A*01:06 | | USA NMDP African American pop 2 | | 0.0000020 | | 416,581 | See | | | |
709 |
A*01:06 | | USA NMDP Caribean Hispanic | | 0.0000040 | | 115,374 | See | | | |
710 |
A*01:06 | | USA NMDP European Caucasian | | 0.0000225 | | 1,242,890 | See | | | |
711 |
A*01:06 | | USA NMDP Hawaiian or other Pacific Islander | | 0.0000430 | | 11,499 | See | | | |
712 |
A*01:06 | | USA NMDP Hispanic South or Central American | | 0.0000030 | | 146,714 | See | | | |
713 |
A*01:06 | | USA NMDP Korean | | 0.0000060 | | 77,584 | See | | | |
714 |
A*01:06 | | USA NMDP Mexican or Chicano | | 0.0000110 | | 261,235 | See | | | |
715 |
A*01:06 | | USA NMDP Middle Eastern or North Coast of Africa | | 0.0000920 | | 70,890 | See | | | |
716 |
A*01:06 | | USA NMDP North American Amerindian | | 0.0000400 | | 35,791 | See | | | |
717 |
A*01:06 | | USA Philadelphia Caucasian | 0.0 | 0 | | 141 | See | | | |
718 |
A*01:06 | | USA San Antonio Caucasian | | 0 | | 222 | See | | | |
719 |
A*01:06 | | USA South Texas Hispanic | | 0 | | 194 | See | | | |
720 |
A*01:07 | | Bulgaria | | 0 | | 55 | See | | | |
721 |
A*01:07 | | China North Han | | 0 | | 105 | See | | | |
722 |
A*01:07 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
723 |
A*01:07 | | Israel Bukhara Jews | | 0.0000720 | | 2,317 | See | | |
|
724 |
A*01:07 | | Israel Ethiopia Jews | | 0.0002 | | 5,928 | See | | |
|
725 |
A*01:07 | | Israel Georgia Jews | | 0.0000370 | | 4,471 | See | | |
|
726 |
A*01:07 | | Israel Kavkazi Jews | | 0.0000590 | | 2,840 | See | | |
|
727 |
A*01:07 | | Israel Tunisia Jews | | 0.0000180 | | 9,070 | See | | |
|
728 |
A*01:07 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
729 |
A*01:07 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
730 |
A*01:07 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
731 |
A*01:07 | | South Korea pop 3 | | 0 | | 485 | See | | | |
732 |
A*01:07 | | USA African American Bethesda | 0.0 | 0 | | 187 | See | | | |
733 |
A*01:07 | | USA Caucasian Bethesda | 0.0 | 0 | | 307 | See | | | |
734 |
A*01:07 | | USA Philadelphia Caucasian | 0.0 | 0 | | 141 | See | | | |
735 |
A*01:07 | | USA San Antonio Caucasian | | 0 | | 222 | See | | | |
736 |
A*01:07 | | USA South Texas Hispanic | | 0 | | 194 | See | | | |
737 |
A*01:08 | | Bulgaria | | 0 | | 55 | See | | | |
738 |
A*01:08 | | China North Han | | 0 | | 105 | See | | | |
739 |
A*01:08 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
740 |
A*01:08 | | Israel Iraq Jews | | 0.0000090 | | 13,270 | See | | |
|
741 |
A*01:08 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
742 |
A*01:08 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
743 |
A*01:08 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
744 |
A*01:08 | | South Korea pop 3 | | 0 | | 485 | See | | | |
745 |
A*01:08 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0200 | 0.0001 | | 4,335 | See | | |
|
746 |
A*01:08 | | USA African American Bethesda | 0.0 | 0 | | 187 | See | | | |
747 |
A*01:08 | | USA Caucasian Bethesda | 0.0 | 0 | | 307 | See | | | |
748 |
A*01:08 | | USA NMDP European Caucasian | | 0.0000020 | | 1,242,890 | See | | | |
749 |
A*01:08 | | USA Philadelphia Caucasian | 0.0 | 0 | | 141 | See | | | |
750 |
A*01:08 | | USA San Antonio Caucasian | | 0 | | 222 | See | | | |
751 |
A*01:08 | | USA South Texas Hispanic | | 0 | | 194 | See | | | |
752 |
A*01:09 | | Bulgaria | | 0 | | 55 | See | | | |
753 |
A*01:09 | | China North Han | | 0 | | 105 | See | | | |
754 |
A*01:09 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
755 |
A*01:09 | | Germany DKMS - German donors | | 0.0000010 | | 3,456,066 | See | | |
|
756 |
A*01:09 | | Israel Iraq Jews | | 0.0000090 | | 13,270 | See | | |
|
757 |
A*01:09 | | Kenya, Nyanza Province, Luo tribe | 1.0 | 0.0050 | | 100 | See | | |
|
758 |
A*01:09 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
759 |
A*01:09 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
760 |
A*01:09 | | Saudi Arabia pop 6 (G) | | 0.0000170 (*) | | 28,927 | See | | | |
761 |
A*01:09 | | Switzerland Aargau-Solothurn | | 0 | | 1,838 | See | | | |
762 |
A*01:09 | | Switzerland Basel | | 0 | | 1,888 | See | | | |
763 |
A*01:09 | | Switzerland Bern | | 0 | | 3,545 | See | | | |
764 |
A*01:09 | | Switzerland Geneva pop 2 | | 0 | | 1,267 | See | | | |
765 |
A*01:09 | | Switzerland Graubunden | | 0.0040 | | 759 | See | | | |
766 |
A*01:09 | | Switzerland Lausanne | | 0 | | 993 | See | | | |
767 |
A*01:09 | | Switzerland Lugano | | 0 | | 1,169 | See | | | |
768 |
A*01:09 | | Switzerland Luzern | | 0 | | 1,553 | See | | | |
769 |
A*01:09 | | Switzerland Sion | | 0 | | 832 | See | | | |
770 |
A*01:09 | | Switzerland St Gallen | | 0 | | 2,113 | See | | | |
771 |
A*01:09 | | Switzerland Zurich | | 0 | | 4,875 | See | | | |
772 |
A*01:09 | | Tanzania Maasai | 2.7 | 0.0134 | | 336 | See | | |
|
773 |
A*01:09 | | Uganda Kampala pop 2 | | 0.0030 | | 175 | See | | | |
774 |
A*01:09 | | USA African American Bethesda | 0.0 | 0 | | 187 | See | | | |
775 |
A*01:09 | | USA Caucasian Bethesda | 0.0 | 0 | | 307 | See | | | |
776 |
A*01:09 | | USA NMDP African | | 0.0001 | | 28,557 | See | | | |
777 |
A*01:09 | | USA NMDP African American pop 2 | | 0.0000020 | | 416,581 | See | | | |
778 |
A*01:09 | | USA Philadelphia Caucasian | 0.0 | 0 | | 141 | See | | | |
779 |
A*01:09 | | USA San Antonio Caucasian | | 0 | | 222 | See | | | |
780 |
A*01:10 | | China North Han | | 0 | | 105 | See | | | |
781 |
A*01:10 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
782 |
A*01:10 | | Israel Ashkenazi Jews pop 3 | | 0.0003 | | 4,625 | See | | |
|
783 |
A*01:10 | | Israel Bukhara Jews | | 0.0001 | | 2,317 | See | | |
|
784 |
A*01:10 | | Israel Georgia Jews | | 0.0000560 | | 4,471 | See | | |
|
785 |
A*01:10 | | Israel Iraq Jews | | 0.0000190 | | 13,270 | See | | |
|
786 |
A*01:10 | | Israel Tunisia Jews | | 0.0000140 | | 9,070 | See | | |
|
787 |
A*01:10 | | Israel YemenJews | | 0.0000640 | | 15,542 | See | | |
|
788 |
A*01:10 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
789 |
A*01:10 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
790 |
A*01:10 | | USA African American Bethesda | 0.0 | 0 | | 187 | See | | | |
791 |
A*01:10 | | USA Caucasian Bethesda | 0.0 | 0 | | 307 | See | | | |
792 |
A*01:10 | | USA Philadelphia Caucasian | 0.0 | 0 | | 141 | See | | | |
793 |
A*01:100 | | Germany DKMS - German donors | | 0.0000010 | | 3,456,066 | See | | |
|
794 |
A*01:101 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
795 |
A*01:106 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
796 |
A*01:106 | | Saudi Arabia pop 6 (G) | | 0.0000170 (*) | | 28,927 | See | | | |
797 |
A*01:109 | | India UCBB_Central Indian HLA | 0.0200 | 0.0001 | | 4,204 | See | | |
|
798 |
A*01:109 | | Poland BMR | 0.0042 | 0.0000210 | | 23,595 | See | | |
|
799 |
A*01:11N | | China North Han | | 0 | | 105 | See | | | |
800 |
A*01:11N | | China Tibet Region Tibetan | | 0 | | 158 | 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.