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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*01:01:38L |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  |
|
802 |
A*01:01:86 |  | Pakistan Mixed Punjabi | 1.8 | 0.0090 |  | 389 | See |  |  |
|
803 |
A*01:02 |  | Argentina Rosario Toba | 1.2 | 0.0060 |  | 86 | See |  |  | |
804 |
A*01:02 |  | Belgium | 0.1 | 0.0006 |  | 31,412 | See |  |  |
|
805 |
A*01:02 |  | Brazil Barra Mansa Rio State Caucasian | | 0.0012 |  | 405 | See |  |  |
|
806 |
A*01:02 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
807 |
A*01:02 |  | Brazil Rio de Janeiro Caucasian | | 0.0010 |  | 521 | See |  |  |
|
808 |
A*01:02 |  | Brazil Vale do Ribeira Quilombos | 0.0030 | 0 |  | 144 | See |  |  | |
809 |
A*01:02 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
810 |
A*01:02 |  | Cameroon Baka Pygmy | | 0 |  | 10 | See |  |  | |
811 |
A*01:02 |  | Cameroon Bamileke | | 0 |  | 77 | See |  |  | |
812 |
A*01:02 |  | Cameroon Beti | | 0.0030 |  | 174 | See |  |  | |
813 |
A*01:02 |  | Cameroon Sawa | | 0 |  | 13 | See |  |  | |
814 |
A*01:02 |  | Cape Verde Northwestern Islands | | 0 |  | 62 | See |  |  | |
815 |
A*01:02 |  | Cape Verde Southeastern Islands | | 0.0160 |  | 62 | See |  |  | |
816 |
A*01:02 |  | Central African Republic Mbenzele Pygmy | 0.0 | 0 |  | 36 | See |  |  | |
817 |
A*01:02 |  | China Jiangsu Province Han | | 0.0018 |  | 334 | See |  |  | |
818 |
A*01:02 |  | China North Han | | 0 |  | 105 | See |  |  | |
819 |
A*01:02 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
820 |
A*01:02 |  | Colombia Bogotá Cord Blood | 0.5 | 0.0027 |  | 1,463 | See |  |  | |
821 |
A*01:02 |  | Costa Rica African -Caribbean (G) | 2.0 (*) | 0.0100 (*) |  | 102 | See |  |  |
|
822 |
A*01:02 |  | Costa Rica Amerindians (G) | 1.6 (*) | 0.0080 (*) |  | 125 | See |  |  |
|
823 |
A*01:02 |  | Croatia | | 0 |  | 150 | See |  |  | |
824 |
A*01:02 |  | Croatia pop 4 | | 0.0001 |  | 4,000 | See |  |  | |
825 |
A*01:02 |  | Cuba Caucasian | 0.0 | 0 |  | 70 | See |  |  | |
826 |
A*01:02 |  | Cuba Mixed Race | 0.0 | 0 |  | 42 | See |  |  | |
827 |
A*01:02 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
828 |
A*01:02 |  | Czech Republic NMDR | | 0.0001 |  | 5,099 | See |  |  | |
829 |
A*01:02 |  | France French Bone Marrow Donor Registry | | 0.0073 |  | 42,623 | See |  |  | |
830 |
A*01:02 |  | Germany DKMS - Croatia minority | | 0.0002 |  | 2,057 | See |  |  | |
831 |
A*01:02 |  | Germany DKMS - German donors | | 0.0000980 |  | 3,456,066 | See |  |  |
|
832 |
A*01:02 |  | Germany DKMS - Greece minority | | 0.0003 |  | 1,894 | See |  |  | |
833 |
A*01:02 |  | Germany DKMS - Italy minority | | 0.0022 |  | 1,159 | See |  |  | |
834 |
A*01:02 |  | Germany DKMS - Portugal minority | | 0.0013 |  | 1,176 | See |  |  | |
835 |
A*01:02 |  | Germany DKMS - Spain minority | | 0.0027 |  | 1,107 | See |  |  | |
836 |
A*01:02 |  | Germany DKMS - Turkey minority | | 0.0002 |  | 4,856 | See |  |  | |
837 |
A*01:02 |  | Germany DKMS - United Kingdom minority | | 0.0010 |  | 1,043 | See |  |  | |
838 |
A*01:02 |  | Germany pop 6 | | 0.0002 |  | 8,862 | See |  |  | |
839 |
A*01:02 |  | Germany pop 8 | | 0.0000900 |  | 39,689 | See |  |  | |
840 |
A*01:02 |  | Guinea Bissau | | 0.0080 |  | 65 | See |  |  | |
841 |
A*01:02 |  | Guinea Bissau Balanta | | 0.0210 |  | 48 | See |  |  | |
842 |
A*01:02 |  | Guinea Bissau Bijago | | 0 |  | 23 | See |  |  | |
843 |
A*01:02 |  | Guinea Bissau Fula | | 0 |  | 31 | See |  |  | |
844 |
A*01:02 |  | Guinea Bissau Papel | | 0.0200 |  | 25 | See |  |  | |
845 |
A*01:02 |  | Hong Kong Chinese | 0.0 | 0 |  | 569 | See |  |  | |
846 |
A*01:02 |  | India Delhi pop 2 | 6.7 | 0.0330 |  | 90 | See |  |  | |
847 |
A*01:02 |  | Iran Gorgan | | 0.0470 |  | 64 | See |  |  |
|
848 |
A*01:02 |  | Iran Kurd pop 2 | | 0.0250 |  | 60 | See |  |  |
|
849 |
A*01:02 |  | Iran Saqqez-Baneh Kurds | | 0.0250 |  | 60 | See |  |  |
|
850 |
A*01:02 |  | Iran Tabriz Azeris | | 0.0619 |  | 97 | See |  |  |
|
851 |
A*01:02 |  | Ireland Northern | 0.0 | 0 |  | 1,000 | See |  |  | |
852 |
A*01:02 |  | Israel Arab pop 2 | | 0.0000410 |  | 12,301 | See |  |  |
|
853 |
A*01:02 |  | Israel Argentina Jews | | 0.0000580 |  | 4,307 | See |  |  |
|
854 |
A*01:02 |  | Israel Bukhara Jews | | 0.0001 |  | 2,317 | See |  |  |
|
855 |
A*01:02 |  | Israel Georgia Jews | | 0.0000560 |  | 4,471 | See |  |  |
|
856 |
A*01:02 |  | Israel Iran Jews | | 0.0000200 |  | 8,153 | See |  |  |
|
857 |
A*01:02 |  | Israel Iraq Jews | | 0.0000190 |  | 13,270 | See |  |  |
|
858 |
A*01:02 |  | Israel Morocco Jews | | 0.0001 |  | 36,718 | See |  |  |
|
859 |
A*01:02 |  | Israel Poland Jews | | 0.0002 |  | 13,871 | See |  |  |
|
860 |
A*01:02 |  | Israel Tunisia Jews | | 0.0000140 |  | 9,070 | See |  |  |
|
861 |
A*01:02 |  | Israel USA Jews | | 0.0002 |  | 6,058 | See |  |  |
|
862 |
A*01:02 |  | Israel USSR Jews | | 0.0000770 |  | 45,681 | See |  |  |
|
863 |
A*01:02 |  | Israel YemenJews | | 0.0000640 |  | 15,542 | See |  |  |
|
864 |
A*01:02 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
865 |
A*01:02 |  | Italy pop 5 | | 0.0030 |  | 975 | See |  |  | |
866 |
A*01:02 |  | Kenya Luo | | 0.0040 |  | 265 | See |  |  | |
867 |
A*01:02 |  | Kenya Nandi | | 0.0270 |  | 240 | See |  |  | |
868 |
A*01:02 |  | Madeira | | 0.0080 |  | 185 | See |  |  | |
869 |
A*01:02 |  | Mali Bandiagara | | 0.0110 |  | 138 | See |  |  | |
870 |
A*01:02 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
871 |
A*01:02 |  | Mexico Mexico City Mestizo pop 2 | | 0.0043 |  | 234 | See |  |  | |
872 |
A*01:02 |  | Morocco Atlantic Coast Chaouya | | 0.0070 |  | 98 | See |  |  | |
873 |
A*01:02 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
874 |
A*01:02 |  | Morocco Settat Chaouya | 1.4 | 0.0070 |  | 98 | See |  |  | |
875 |
A*01:02 |  | Netherlands Leiden | | 0 |  | 1,305 | See |  |  | |
876 |
A*01:02 |  | Nicaragua Managua | 0.3 | 0.0015 |  | 339 | See |  |  |
|
877 |
A*01:02 |  | Oman | 0.0 | 0 |  | 118 | See |  |  | |
878 |
A*01:02 |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
879 |
A*01:02 |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
880 |
A*01:02 |  | Pakistan Burusho | | 0 |  | 92 | See |  |  | |
881 |
A*01:02 |  | Pakistan Kalash | | 0 |  | 69 | See |  |  | |
882 |
A*01:02 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
883 |
A*01:02 |  | Pakistan Mixed Pathan | | 0 |  | 100 | See |  |  | |
884 |
A*01:02 |  | Panama | | 0.0045 |  | 462 | See |  |  |
|
885 |
A*01:02 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
886 |
A*01:02 |  | Poland BMR | 0.0127 | 0.0000640 |  | 23,595 | See |  |  |
|
887 |
A*01:02 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
888 |
A*01:02 |  | Russia Nizhny Novgorod, Russians | 0.0662 | 0.0003 |  | 1,510 | See |  |  |
|
889 |
A*01:02 |  | Russia Tuva pop 2 | | 0.0030 |  | 169 | See |  |  | |
890 |
A*01:02 |  | Saudi Arabia pop 5 | 1.3 | 0.0063 |  | 158 | See |  |  | |
891 |
A*01:02 |  | Saudi Arabia pop 6 (G) | | 0.0006 (*) |  | 28,927 | See |  |  | |
892 |
A*01:02 |  | Senegal Niokholo Mandenka | | 0.0160 |  | 165 | See |  |  | |
893 |
A*01:02 |  | Singapore Chinese | 0.0 | 0 |  | 149 | See |  |  | |
894 |
A*01:02 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
895 |
A*01:02 |  | South Korea pop 10 | | 0.0001 |  | 4,128 | See |  |  | |
896 |
A*01:02 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
897 |
A*01:02 |  | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.6 | 0.0029 |  | 4,335 | See |  |  |
|
898 |
A*01:02 |  | Switzerland Aargau-Solothurn | | 0 |  | 1,838 | See |  |  | |
899 |
A*01:02 |  | Switzerland Basel | | 0 |  | 1,888 | See |  |  | |
900 |
A*01:02 |  | Switzerland Bern | | 0 |  | 3,545 | 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 30,451) records |
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