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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*02:01:04 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
802 |
A*02:01:04 |  | Saudi Arabia pop 5 | 0.6 | 0.0032 |  | 158 | See |  |  | |
803 |
A*02:01:04 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
804 |
A*02:01:04 |  | USA Mexican American Mestizo | | 0.0010 |  | 553 | See |  |  | |
805 |
A*02:01:04 |  | USA San Francisco Caucasian | | 0.0020 |  | 220 | See |  |  | |
806 |
A*02:01:05 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
807 |
A*02:01:05 |  | China North Han | | 0 |  | 105 | See |  |  | |
808 |
A*02:01:05 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
809 |
A*02:01:05 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
810 |
A*02:01:06 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
811 |
A*02:01:06 |  | China North Han | | 0 |  | 105 | See |  |  | |
812 |
A*02:01:06 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
813 |
A*02:01:06 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
814 |
A*02:01:07 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
815 |
A*02:01:07 |  | China North Han | | 0 |  | 105 | See |  |  | |
816 |
A*02:01:07 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
817 |
A*02:01:08 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
818 |
A*02:01:08 |  | China North Han | | 0 |  | 105 | See |  |  | |
819 |
A*02:01:08 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
820 |
A*02:01:09 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
821 |
A*02:01:09 |  | China North Han | | 0 |  | 105 | See |  |  | |
822 |
A*02:01:09 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
823 |
A*02:01:10 |  | China North Han | | 0 |  | 105 | See |  |  | |
824 |
A*02:01:10 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
825 |
A*02:01:11 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
826 |
A*02:01:12 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
827 |
A*02:01:13 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
828 |
A*02:01:14Q |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  |
|
829 |
A*02:01:15 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
830 |
A*02:01:17 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
831 |
A*02:01:18 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
832 |
A*02:01:19 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
833 |
A*02:01:21 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
834 |
A*02:01:22 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
835 |
A*02:01:23 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
836 |
A*02:01:24 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
837 |
A*02:01:25 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
838 |
A*02:01:26 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
839 |
A*02:01:27 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
840 |
A*02:01:28 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
841 |
A*02:01:29 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
842 |
A*02:01:30 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
843 |
A*02:01:31 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
844 |
A*02:01:32 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
845 |
A*02:01:33 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
846 |
A*02:01:34 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
847 |
A*02:01:35 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
848 |
A*02:01:36 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
849 |
A*02:01:36 |  | Saudi Arabia pop 5 | 0.6 | 0.0032 |  | 158 | See |  |  | |
850 |
A*02:01:37 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
851 |
A*02:01:38 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
852 |
A*02:01:39 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
853 |
A*02:01:40 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
854 |
A*02:01:41 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
855 |
A*02:01:42 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
856 |
A*02:02 |  | Azores Central Islands | | 0.0180 |  | 59 | See |  |  | |
857 |
A*02:02 |  | Azores Oriental Islands | | 0.0130 |  | 43 | See |  |  | |
858 |
A*02:02 |  | Belgium | 1.0 | 0.0050 |  | 99 | See |  |  | |
859 |
A*02:02 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
860 |
A*02:02 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
861 |
A*02:02 |  | Burkina Faso Fulani | | 0 |  | 49 | See |  |  | |
862 |
A*02:02 |  | Burkina Faso Rimaibe | | 0.0530 |  | 47 | See |  |  | |
863 |
A*02:02 |  | Cameroon Baka Pygmy | | 0 |  | 10 | See |  |  | |
864 |
A*02:02 |  | Cameroon Bamileke | | 0.1040 |  | 77 | See |  |  | |
865 |
A*02:02 |  | Cameroon Beti | | 0.0600 |  | 174 | See |  |  | |
866 |
A*02:02 |  | Cameroon Sawa | | 0 |  | 13 | See |  |  | |
867 |
A*02:02 |  | Cameroon Yaounde | | 0.0820 |  | 92 | See |  |  | |
868 |
A*02:02 |  | Cape Verde Northwestern Islands | | 0.0080 |  | 62 | See |  |  | |
869 |
A*02:02 |  | Cape Verde Southeastern Islands | | 0.0240 |  | 62 | See |  |  | |
870 |
A*02:02 |  | China Inner Mongolia Region | | 0 |  | 102 | See |  |  | |
871 |
A*02:02 |  | China North Han | | 0 |  | 105 | See |  |  | |
872 |
A*02:02 |  | China Qinghai Province Hui | | 0.0140 |  | 110 | See |  |  | |
873 |
A*02:02 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
874 |
A*02:02 |  | Cuba Caucasian | 0.0 | 0 |  | 70 | See |  |  | |
875 |
A*02:02 |  | Cuba Mixed Race | 2.4 | 0.0120 |  | 42 | See |  |  | |
876 |
A*02:02 |  | Georgia Svaneti Region Svan | | 0.0380 |  | 80 | See |  |  | |
877 |
A*02:02 |  | Germany DKMS - Austria minority | | 0.0006 |  | 1,698 | See |  |  | |
878 |
A*02:02 |  | Germany DKMS - Bosnia and Herzegovina minority | | 0.0015 |  | 1,028 | See |  |  | |
879 |
A*02:02 |  | Germany DKMS - Croatia minority | | 0.0002 |  | 2,057 | See |  |  | |
880 |
A*02:02 |  | Germany DKMS - France minority | | 0.0008 |  | 1,406 | See |  |  | |
881 |
A*02:02 |  | Germany DKMS - Greece minority | | 0.0013 |  | 1,894 | See |  |  | |
882 |
A*02:02 |  | Germany DKMS - Italy minority | | 0.0030 |  | 1,159 | See |  |  | |
883 |
A*02:02 |  | Germany DKMS - Netherlands minority | | 0.0004 |  | 1,374 | See |  |  | |
884 |
A*02:02 |  | Germany DKMS - Portugal minority | | 0.0051 |  | 1,176 | See |  |  | |
885 |
A*02:02 |  | Germany DKMS - Romania minority | | 0.0016 |  | 1,234 | See |  |  | |
886 |
A*02:02 |  | Germany DKMS - Spain minority | | 0.0014 |  | 1,107 | See |  |  | |
887 |
A*02:02 |  | Germany DKMS - Turkey minority | | 0.0019 |  | 4,856 | See |  |  | |
888 |
A*02:02 |  | Germany DKMS - United Kingdom minority | | 0.0010 |  | 1,043 | See |  |  | |
889 |
A*02:02 |  | Germany pop 6 | | 0.0005 |  | 8,862 | See |  |  | |
890 |
A*02:02 |  | Ghana Ga-Adangbe | 12.2 | 0.0649 |  | 131 | See |  |  | |
891 |
A*02:02 |  | Greece pop 6 | | 0.0021 |  | 242 | See |  |  | |
892 |
A*02:02 |  | Guinea Bissau | | 0.0620 |  | 65 | See |  |  | |
893 |
A*02:02 |  | Guinea Bissau Balanta | | 0.0630 |  | 48 | See |  |  | |
894 |
A*02:02 |  | Guinea Bissau Bijago | | 0.0870 |  | 23 | See |  |  | |
895 |
A*02:02 |  | Guinea Bissau Fula | | 0.0650 |  | 31 | See |  |  | |
896 |
A*02:02 |  | Guinea Bissau Papel | | 0.0800 |  | 25 | See |  |  | |
897 |
A*02:02 |  | India Delhi pop 2 | 3.3 | 0.0170 |  | 90 | See |  |  | |
898 |
A*02:02 |  | Ireland Northern | 0.0 | 0 |  | 1,000 | See |  |  | |
899 |
A*02:02 |  | Italy Bergamo | 0.0 | 0 |  | 101 | See |  |  | |
900 |
A*02:02 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | 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 60,683) records |
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