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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 |
801 |
A*03:01:02 | | Taiwan Paiwan | 0.0 | 0 | | 51 | See | | | |
802 |
A*03:01:02 | | Taiwan Pazeh | 0.0 | 0 | | 55 | See | | | |
803 |
A*03:01:02 | | Taiwan Puyuma | 0.0 | 0 | | 50 | See | | | |
804 |
A*03:01:02 | | Taiwan Rukai | 0.0 | 0 | | 50 | See | | | |
805 |
A*03:01:02 | | Taiwan Saisiat | 0.0 | 0 | | 51 | See | | | |
806 |
A*03:01:02 | | Taiwan Siraya | 0.0 | 0 | | 51 | See | | | |
807 |
A*03:01:02 | | Taiwan Tao | 0.0 | 0 | | 50 | See | | | |
808 |
A*03:01:02 | | Taiwan Taroko | 0.0 | 0 | | 55 | See | | | |
809 |
A*03:01:02 | | Taiwan Thao | 0.0 | 0 | | 30 | See | | | |
810 |
A*03:01:02 | | Taiwan Tsou | 0.0 | 0 | | 51 | See | | | |
811 |
A*03:01:03 | | Cape Verde Northwestern Islands | | 0.0080 | | 62 | See | | | |
812 |
A*03:01:03 | | Japan Okinawa Ryukyuan | | 0.0040 | | 143 | See | | | |
813 |
A*03:01:03 | | Poland BMR | 0.0085 | 0.0000420 | | 23,595 | See | | |
|
814 |
A*03:01:03 | | Bulgaria | | 0 | | 55 | See | | | |
815 |
A*03:01:03 | | Cape Verde Southeastern Islands | | 0 | | 62 | See | | | |
816 |
A*03:01:03 | | China North Han | | 0 | | 105 | See | | | |
817 |
A*03:01:03 | | Guinea Bissau | | 0 | | 65 | See | | | |
818 |
A*03:01:03 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
819 |
A*03:01:03 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
820 |
A*03:01:03 | | South Korea pop 3 | | 0 | | 485 | See | | | |
821 |
A*03:01:04 | | USA NMDP Black South or Central American | | 0.0875 | | 4,889 | See | | | |
822 |
A*03:01:04 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
823 |
A*03:01:05 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
824 |
A*03:01:06 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
825 |
A*03:01:07 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
826 |
A*03:01:08 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
827 |
A*03:01:09 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
828 |
A*03:01:10 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
829 |
A*03:01:11 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
830 |
A*03:01:12 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
831 |
A*03:01:13 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
832 |
A*03:01:14 | | Russia Belgorod region | 0.7 | 0.0033 | | 153 | See | | |
|
833 |
A*03:01:14 | | Poland BMR | 0.0042 | 0.0000210 | | 23,595 | See | | |
|
834 |
A*03:01:14 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
835 |
A*03:01:15 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
836 |
A*03:01:16 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
837 |
A*03:01:17 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
838 |
A*03:01:23 | | USA NMDP Black South or Central American | | 0.0001 | | 4,889 | See | | | |
839 |
A*03:01:39 | | USA NMDP Black South or Central American | | 0.0001 | | 4,889 | See | | | |
840 |
A*03:02 | | Israel Georgia Jews | | 0.1931 | | 4,471 | See | | |
|
841 |
A*03:02 | | Israel Bukhara Jews | | 0.1306 | | 2,317 | See | | |
|
842 |
A*03:02 | | Israel Iraq Jews | | 0.1075 | | 13,270 | See | | |
|
843 |
A*03:02 | | Israel Morocco Jews | | 0.0997 | | 36,718 | See | | |
|
844 |
A*03:02 | | Israel USSR Jews | | 0.0863 | | 45,681 | See | | |
|
845 |
A*03:02 | | Georgia Tibilisi Kurd | | 0.0830 | | 31 | See | | | |
846 |
A*03:02 | | Israel USA Jews | | 0.0799 | | 6,058 | See | | |
|
847 |
A*03:02 | | Israel Argentina Jews | | 0.0797 | | 4,307 | See | | |
|
848 |
A*03:02 | | Israel Libya Jews | | 0.0779 | | 3,739 | See | | |
|
849 |
A*03:02 | | Israel Iran Jews | | 0.0776 | | 8,153 | See | | |
|
850 |
A*03:02 | | Israel Kavkazi Jews | | 0.0748 | | 2,840 | See | | |
|
851 |
A*03:02 | | Israel Ethiopia Jews | | 0.0730 | | 5,928 | See | | |
|
852 |
A*03:02 | | Israel Ashkenazi Jews pop 3 | | 0.0680 | | 4,625 | See | | |
|
853 |
A*03:02 | | Israel Tunisia Jews | | 0.0661 | | 9,070 | See | | |
|
854 |
A*03:02 | | Israel Poland Jews | | 0.0633 | | 13,871 | See | | |
|
855 |
A*03:02 | | USA Spain Ancestry | | 0.0520 | | 279 | See | | | |
856 |
A*03:02 | | Armenia combined Regions | | 0.0500 | | 100 | See | | | |
857 |
A*03:02 | | Israel Druze | | 0.0419 | | 5,914 | See | | |
|
858 |
A*03:02 | | Israel Arab pop 2 | | 0.0414 | | 12,301 | See | | |
|
859 |
A*03:02 | | Morocco Nador Metalsa pop 2 | | 0.0410 | | 73 | See | | | |
860 |
A*03:02 | | Israel YemenJews | | 0.0380 | | 15,542 | See | | |
|
861 |
A*03:02 | | Germany DKMS - Turkey minority | | 0.0282 | | 4,856 | See | | | |
862 |
A*03:02 | | Pakistan Karachi Parsi | | 0.0280 | | 91 | See | | | |
863 |
A*03:02 | | Israel Arab Druze | | 0.0250 | | 101 | See | | | |
864 |
A*03:02 | | Sudan Mixed | 4.5 | 0.0230 | | 200 | See | | | |
865 |
A*03:02 | | India New Delhi | | 0.0230 | | 71 | See | | | |
866 |
A*03:02 | | India Delhi pop 2 | 4.4 | 0.0220 | | 90 | See | | | |
867 |
A*03:02 | | India West Coast Parsi | | 0.0200 | | 50 | See | | | |
868 |
A*03:02 | | Portugal Center | | 0.0200 | | 50 | See | | | |
869 |
A*03:02 | | Malaysia Mandailing | 3.7 | 0.0190 | | 27 | See | | |
|
870 |
A*03:02 | | USA NMDP Middle Eastern or North Coast of Africa | | 0.0175 | | 70,890 | See | | | |
871 |
A*03:02 | | India Andhra Pradesh Golla | | 0.0170 | | 111 | See | | | |
872 |
A*03:02 | | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0170 | | 146 | See | | | |
873 |
A*03:02 | | Pakistan Kalash | | 0.0170 | | 69 | See | | | |
874 |
A*03:02 | | Iran Gorgan | | 0.0160 | | 64 | See | | |
|
875 |
A*03:02 | | Pakistan Baloch | | 0.0160 | | 66 | See | | | |
876 |
A*03:02 | | Iran Tabriz Azeris | | 0.0155 | | 97 | See | | |
|
877 |
A*03:02 | | Italy pop 5 | | 0.0150 | | 975 | See | | | |
878 |
A*03:02 | | Saudi Arabia Guraiat and Hail | 2.8 | 0.0140 | | 213 | See | | | |
879 |
A*03:02 | | Georgia Tibilisi | | 0.0140 | | 109 | See | | | |
880 |
A*03:02 | | Oman | 2.5 | 0.0130 | | 118 | See | | | |
881 |
A*03:02 | | Pakistan Mixed Sindhi | | 0.0130 | | 101 | See | | | |
882 |
A*03:02 | | India North UCBB | 2.5 | 0.0123 | | 5,849 | See | | |
|
883 |
A*03:02 | | Azores Terceira Island | | 0.0120 | | 130 | See | | | |
884 |
A*03:02 | | India West UCBB | 2.2 | 0.0111 | | 5,829 | See | | |
|
885 |
A*03:02 | | India North pop 2 | | 0.0100 | | 72 | See | | | |
886 |
A*03:02 | | Pakistan Mixed Pathan | | 0.0100 | | 100 | See | | | |
887 |
A*03:02 | | South Africa Natal Tamil | | 0.0100 | | 51 | See | | | |
888 |
A*03:02 | | United Arab Emirates Abu Dhabi | | 0.0096 | | 52 | See | | |
|
889 |
A*03:02 | | Saudi Arabia pop 5 | 1.9 | 0.0095 | | 158 | See | | | |
890 |
A*03:02 | | Portugal Azores Terceira Island | 1.8 | 0.0088 | | 130 | See | | |
|
891 |
A*03:02 | | USA NMDP South Asian Indian | | 0.0086 | | 185,391 | See | | | |
892 |
A*03:02 | | Greece pop 6 | | 0.0083 | | 242 | See | | | |
893 |
A*03:02 | | Iran Saqqez-Baneh Kurds | | 0.0083 | | 60 | See | | |
|
894 |
A*03:02 | | India Central UCBB | 1.6 | 0.0081 | | 4,204 | See | | |
|
895 |
A*03:02 | | USA NMDP Southeast Asian | | 0.0080 | | 27,978 | See | | | |
896 |
A*03:02 | | Iran Kurd pop 2 | | 0.0080 | | 60 | See | | |
|
897 |
A*03:02 | | USA South Texas Hispanic | | 0.0080 | | 194 | See | | | |
898 |
A*03:02 | | Ecuador Amerindians | | 0.0079 | | 63 | See | | |
|
899 |
A*03:02 | | Malaysia Peninsular Indian | 1.5 | 0.0074 | | 271 | See | | |
|
900 |
A*03:02 | | Germany DKMS - Greece minority | | 0.0071 | | 1,894 | 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 801 to 900
(from 1,593) records |
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