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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*01:02 | | Argentina Rosario Toba | 1.2 | 0.0060 | | 86 | See | | | |
802 |
A*01:02 | | Belgium | 0.1 | 0.0006 | | 31,412 | See | | |
|
803 |
A*01:02 | | Brazil Barra Mansa Rio State Caucasian | | 0.0012 | | 405 | See | | |
|
804 |
A*01:02 | | Brazil Belo Horizonte Caucasian | 0.0 | 0 | | 95 | See | | | |
805 |
A*01:02 | | Brazil Rio de Janeiro Caucasian | | 0.0010 | | 521 | See | | |
|
806 |
A*01:02 | | Brazil Vale do Ribeira Quilombos | 0.0030 | 0 | | 144 | See | | | |
807 |
A*01:02 | | Bulgaria | | 0 | | 55 | See | | | |
808 |
A*01:02 | | Cameroon Baka Pygmy | | 0 | | 10 | See | | | |
809 |
A*01:02 | | Cameroon Bamileke | | 0 | | 77 | See | | | |
810 |
A*01:02 | | Cameroon Beti | | 0.0030 | | 174 | See | | | |
811 |
A*01:02 | | Cameroon Sawa | | 0 | | 13 | See | | | |
812 |
A*01:02 | | Cape Verde Northwestern Islands | | 0 | | 62 | See | | | |
813 |
A*01:02 | | Cape Verde Southeastern Islands | | 0.0160 | | 62 | See | | | |
814 |
A*01:02 | | Central African Republic Mbenzele Pygmy | 0.0 | 0 | | 36 | See | | | |
815 |
A*01:02 | | China Jiangsu Province Han | | 0.0018 | | 334 | See | | | |
816 |
A*01:02 | | China North Han | | 0 | | 105 | See | | | |
817 |
A*01:02 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
818 |
A*01:02 | | Colombia Bogotá Cord Blood | 0.5 | 0.0027 | | 1,463 | See | | | |
819 |
A*01:02 | | Costa Rica African -Caribbean (G) | 2.0 (*) | 0.0100 (*) | | 102 | See | | |
|
820 |
A*01:02 | | Costa Rica Amerindians (G) | 1.6 (*) | 0.0080 (*) | | 125 | See | | |
|
821 |
A*01:02 | | Croatia | | 0 | | 150 | See | | | |
822 |
A*01:02 | | Croatia pop 4 | | 0.0001 | | 4,000 | See | | | |
823 |
A*01:02 | | Cuba Caucasian | 0.0 | 0 | | 70 | See | | | |
824 |
A*01:02 | | Cuba Mixed Race | 0.0 | 0 | | 42 | See | | | |
825 |
A*01:02 | | Czech Republic | | 0 | | 106 | See | | | |
826 |
A*01:02 | | Czech Republic NMDR | | 0.0001 | | 5,099 | See | | | |
827 |
A*01:02 | | France French Bone Marrow Donor Registry | | 0.0073 | | 42,623 | See | | | |
828 |
A*01:02 | | Germany DKMS - Croatia minority | | 0.0002 | | 2,057 | See | | | |
829 |
A*01:02 | | Germany DKMS - German donors | | 0.0000980 | | 3,456,066 | See | | |
|
830 |
A*01:02 | | Germany DKMS - Greece minority | | 0.0003 | | 1,894 | See | | | |
831 |
A*01:02 | | Germany DKMS - Italy minority | | 0.0022 | | 1,159 | See | | | |
832 |
A*01:02 | | Germany DKMS - Portugal minority | | 0.0013 | | 1,176 | See | | | |
833 |
A*01:02 | | Germany DKMS - Spain minority | | 0.0027 | | 1,107 | See | | | |
834 |
A*01:02 | | Germany DKMS - Turkey minority | | 0.0002 | | 4,856 | See | | | |
835 |
A*01:02 | | Germany DKMS - United Kingdom minority | | 0.0010 | | 1,043 | See | | | |
836 |
A*01:02 | | Germany pop 6 | | 0.0002 | | 8,862 | See | | | |
837 |
A*01:02 | | Germany pop 8 | | 0.0000900 | | 39,689 | See | | | |
838 |
A*01:02 | | Guinea Bissau | | 0.0080 | | 65 | See | | | |
839 |
A*01:02 | | Guinea Bissau Balanta | | 0.0210 | | 48 | See | | | |
840 |
A*01:02 | | Guinea Bissau Bijago | | 0 | | 23 | See | | | |
841 |
A*01:02 | | Guinea Bissau Fula | | 0 | | 31 | See | | | |
842 |
A*01:02 | | Guinea Bissau Papel | | 0.0200 | | 25 | See | | | |
843 |
A*01:02 | | Hong Kong Chinese | 0.0 | 0 | | 569 | See | | | |
844 |
A*01:02 | | India Delhi pop 2 | 6.7 | 0.0330 | | 90 | See | | | |
845 |
A*01:02 | | Iran Gorgan | | 0.0470 | | 64 | See | | |
|
846 |
A*01:02 | | Iran Kurd pop 2 | | 0.0250 | | 60 | See | | |
|
847 |
A*01:02 | | Iran Saqqez-Baneh Kurds | | 0.0250 | | 60 | See | | |
|
848 |
A*01:02 | | Iran Tabriz Azeris | | 0.0619 | | 97 | See | | |
|
849 |
A*01:02 | | Ireland Northern | 0.0 | 0 | | 1,000 | See | | | |
850 |
A*01:02 | | Israel Arab pop 2 | | 0.0000410 | | 12,301 | See | | |
|
851 |
A*01:02 | | Israel Argentina Jews | | 0.0000580 | | 4,307 | See | | |
|
852 |
A*01:02 | | Israel Bukhara Jews | | 0.0001 | | 2,317 | See | | |
|
853 |
A*01:02 | | Israel Georgia Jews | | 0.0000560 | | 4,471 | See | | |
|
854 |
A*01:02 | | Israel Iran Jews | | 0.0000200 | | 8,153 | See | | |
|
855 |
A*01:02 | | Israel Iraq Jews | | 0.0000190 | | 13,270 | See | | |
|
856 |
A*01:02 | | Israel Morocco Jews | | 0.0001 | | 36,718 | See | | |
|
857 |
A*01:02 | | Israel Poland Jews | | 0.0002 | | 13,871 | See | | |
|
858 |
A*01:02 | | Israel Tunisia Jews | | 0.0000140 | | 9,070 | See | | |
|
859 |
A*01:02 | | Israel USA Jews | | 0.0002 | | 6,058 | See | | |
|
860 |
A*01:02 | | Israel USSR Jews | | 0.0000770 | | 45,681 | See | | |
|
861 |
A*01:02 | | Israel YemenJews | | 0.0000640 | | 15,542 | See | | |
|
862 |
A*01:02 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
863 |
A*01:02 | | Italy pop 5 | | 0.0030 | | 975 | See | | | |
864 |
A*01:02 | | Kenya Luo | | 0.0040 | | 265 | See | | | |
865 |
A*01:02 | | Kenya Nandi | | 0.0270 | | 240 | See | | | |
866 |
A*01:02 | | Madeira | | 0.0080 | | 185 | See | | | |
867 |
A*01:02 | | Mali Bandiagara | | 0.0110 | | 138 | See | | | |
868 |
A*01:02 | | Mexico Mestizo | 0.0 | 0 | | 41 | See | | | |
869 |
A*01:02 | | Mexico Mexico City Mestizo pop 2 | | 0.0043 | | 234 | See | | | |
870 |
A*01:02 | | Morocco Atlantic Coast Chaouya | | 0.0070 | | 98 | See | | | |
871 |
A*01:02 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
872 |
A*01:02 | | Morocco Settat Chaouya | 1.4 | 0.0070 | | 98 | See | | | |
873 |
A*01:02 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
874 |
A*01:02 | | Nicaragua Managua | 0.3 | 0.0015 | | 339 | See | | |
|
875 |
A*01:02 | | Oman | 0.0 | 0 | | 118 | See | | | |
876 |
A*01:02 | | Pakistan Baloch | | 0 | | 66 | See | | | |
877 |
A*01:02 | | Pakistan Brahui | | 0 | | 104 | See | | | |
878 |
A*01:02 | | Pakistan Burusho | | 0 | | 92 | See | | | |
879 |
A*01:02 | | Pakistan Kalash | | 0 | | 69 | See | | | |
880 |
A*01:02 | | Pakistan Karachi Parsi | | 0 | | 91 | See | | | |
881 |
A*01:02 | | Pakistan Mixed Pathan | | 0 | | 100 | See | | | |
882 |
A*01:02 | | Panama | | 0.0045 | | 462 | See | | |
|
883 |
A*01:02 | | Philippines Ivatan | 0.0 | 0 | | 50 | See | | | |
884 |
A*01:02 | | Poland BMR | 0.0127 | 0.0000640 | | 23,595 | See | | |
|
885 |
A*01:02 | | Romania | 0.0 | 0 | | 348 | See | | | |
886 |
A*01:02 | | Russia Nizhny Novgorod, Russians | 0.0662 | 0.0003 | | 1,510 | See | | |
|
887 |
A*01:02 | | Russia Tuva pop 2 | | 0.0030 | | 169 | See | | | |
888 |
A*01:02 | | Saudi Arabia pop 5 | 1.3 | 0.0063 | | 158 | See | | | |
889 |
A*01:02 | | Saudi Arabia pop 6 (G) | | 0.0006 (*) | | 28,927 | See | | | |
890 |
A*01:02 | | Senegal Niokholo Mandenka | | 0.0160 | | 165 | See | | | |
891 |
A*01:02 | | Singapore Chinese | 0.0 | 0 | | 149 | See | | | |
892 |
A*01:02 | | South Africa Natal Zulu | 0.0 | 0 | | 100 | See | | | |
893 |
A*01:02 | | South Korea pop 10 | | 0.0001 | | 4,128 | See | | | |
894 |
A*01:02 | | South Korea pop 3 | | 0 | | 485 | See | | | |
895 |
A*01:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.6 | 0.0029 | | 4,335 | See | | |
|
896 |
A*01:02 | | Switzerland Aargau-Solothurn | | 0 | | 1,838 | See | | | |
897 |
A*01:02 | | Switzerland Basel | | 0 | | 1,888 | See | | | |
898 |
A*01:02 | | Switzerland Bern | | 0 | | 3,545 | See | | | |
899 |
A*01:02 | | Switzerland Geneva pop 2 | | 0 | | 1,267 | See | | | |
900 |
A*01:02 | | Switzerland Graubunden | | 0 | | 759 | 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 30,407) records |
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