Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
901 |
A*01:17 | | Israel YemenJews | | 0.0086 | | 15,542 | See | | |
|
902 |
A*01:17 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
903 |
A*01:17 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
904 |
A*01:17 | | USA NMDP African American pop 2 | | 0.0000010 | | 416,581 | See | | | |
905 |
A*01:17 | | USA NMDP Caribean Hispanic | | 0.0000040 | | 115,374 | See | | | |
906 |
A*01:17 | | USA NMDP European Caucasian | | 0.0000028 | | 1,242,890 | See | | | |
907 |
A*01:17 | | USA NMDP Mexican or Chicano | | 0.0000020 | | 261,235 | See | | | |
908 |
A*01:170 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
909 |
A*01:173 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
910 |
A*01:18N | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
911 |
A*01:18N | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
912 |
A*01:18N | | Switzerland Aargau-Solothurn | | 0 | | 1,838 | See | | | |
913 |
A*01:18N | | Switzerland Basel | | 0 | | 1,888 | See | | | |
914 |
A*01:18N | | Switzerland Bern | | 0 | | 3,545 | See | | | |
915 |
A*01:18N | | Switzerland Geneva pop 2 | | 0 | | 1,267 | See | | | |
916 |
A*01:18N | | Switzerland Graubunden | | 0.0040 | | 759 | See | | | |
917 |
A*01:18N | | Switzerland Lausanne | | 0 | | 993 | See | | | |
918 |
A*01:18N | | Switzerland Lugano | | 0 | | 1,169 | See | | | |
919 |
A*01:18N | | Switzerland Luzern | | 0 | | 1,553 | See | | | |
920 |
A*01:18N | | Switzerland Sion | | 0 | | 832 | See | | | |
921 |
A*01:18N | | Switzerland St Gallen | | 0 | | 2,113 | See | | | |
922 |
A*01:18N | | Switzerland Zurich | | 0 | | 4,875 | See | | | |
923 |
A*01:184 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
924 |
A*01:19 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
925 |
A*01:19 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
926 |
A*01:19 | | USA NMDP African American pop 2 | | 0.0000010 | | 416,581 | See | | | |
927 |
A*01:19 | | USA NMDP Southeast Asian | | 0.0000100 | | 27,978 | See | | | |
928 |
A*01:190 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
929 |
A*01:191 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
930 |
A*01:196 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
931 |
A*01:198 | | Germany DKMS - German donors | | 0.0000010 | | 3,456,066 | See | | |
|
932 |
A*01:20 | | Israel Iraq Jews | | 0.0000090 | | 13,270 | See | | |
|
933 |
A*01:20 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
934 |
A*01:20 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
935 |
A*01:20 | | USA NMDP Hispanic South or Central American | | 0.0000030 | | 146,714 | See | | | |
936 |
A*01:20 | | USA NMDP Middle Eastern or North Coast of Africa | | 0.0000070 | | 70,890 | See | | | |
937 |
A*01:202 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
938 |
A*01:208Q | | Germany DKMS - German donors | | 0.0000010 | | 3,456,066 | See | | |
|
939 |
A*01:21 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
940 |
A*01:21 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
941 |
A*01:21 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
942 |
A*01:211 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
943 |
A*01:218 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
944 |
A*01:219 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
945 |
A*01:22N | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
946 |
A*01:22N | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
947 |
A*01:220 | | Germany DKMS - German donors | | 0.0000010 | | 3,456,066 | See | | |
|
948 |
A*01:223 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
949 |
A*01:225 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
950 |
A*01:227 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
951 |
A*01:228Q | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
952 |
A*01:229 | | Germany DKMS - German donors | | 0.0000010 | | 3,456,066 | See | | |
|
953 |
A*01:229 | | Poland BMR | 0.0042 | 0.0000210 | | 23,595 | See | | |
|
954 |
A*01:23 | | Germany DKMS - German donors | | 0.0000010 | | 3,456,066 | See | | |
|
955 |
A*01:23 | | Israel Iran Jews | | 0.0000200 | | 8,153 | See | | |
|
956 |
A*01:23 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
957 |
A*01:23 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
958 |
A*01:23 | | Saudi Arabia pop 6 (G) | | 0.0001 (*) | | 28,927 | See | | | |
959 |
A*01:23 | | South Africa Worcester | 3.0 | 0.0160 | | 159 | See | | |
|
960 |
A*01:23 | | Uganda Kampala pop 2 | | 0.0030 | | 175 | See | | | |
961 |
A*01:23 | | USA NMDP African | | 0.0000200 | | 28,557 | See | | | |
962 |
A*01:23 | | USA NMDP African American pop 2 | | 0.0000050 | | 416,581 | See | | | |
963 |
A*01:23 | | USA NMDP European Caucasian | | 0.0000012 | | 1,242,890 | See | | | |
964 |
A*01:23 | | USA NMDP South Asian Indian | | 0.0000050 | | 185,391 | See | | | |
965 |
A*01:231 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
966 |
A*01:232 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
967 |
A*01:24 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
968 |
A*01:24 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
969 |
A*01:24 | | USA NMDP Caribean Hispanic | | 0.0000130 | | 115,374 | See | | | |
970 |
A*01:24 | | USA NMDP European Caucasian | | 0.0000004 | | 1,242,890 | See | | | |
971 |
A*01:24 | | USA NMDP Hispanic South or Central American | | 0.0000030 | | 146,714 | See | | | |
972 |
A*01:24 | | USA NMDP Mexican or Chicano | | 0.0000020 | | 261,235 | See | | | |
973 |
A*01:247N | | Germany DKMS - German donors | | 0.0000020 | | 3,456,066 | See | | |
|
974 |
A*01:25 | | Germany DKMS - German donors | | 0.0000020 | | 3,456,066 | See | | |
|
975 |
A*01:25 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
976 |
A*01:25 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
977 |
A*01:25 | | Switzerland Aargau-Solothurn | | 0 | | 1,838 | See | | | |
978 |
A*01:25 | | Switzerland Basel | | 0 | | 1,888 | See | | | |
979 |
A*01:25 | | Switzerland Bern | | 0 | | 3,545 | See | | | |
980 |
A*01:25 | | Switzerland Geneva pop 2 | | 0 | | 1,267 | See | | | |
981 |
A*01:25 | | Switzerland Graubunden | | 0.0040 | | 759 | See | | | |
982 |
A*01:25 | | Switzerland Lausanne | | 0 | | 993 | See | | | |
983 |
A*01:25 | | Switzerland Lugano | | 0 | | 1,169 | See | | | |
984 |
A*01:25 | | Switzerland Luzern | | 0 | | 1,553 | See | | | |
985 |
A*01:25 | | Switzerland Sion | | 0 | | 832 | See | | | |
986 |
A*01:25 | | Switzerland St Gallen | | 0 | | 2,113 | See | | | |
987 |
A*01:25 | | Switzerland Zurich | | 0 | | 4,875 | See | | | |
988 |
A*01:25 | | USA NMDP African American pop 2 | | 0.0000020 | | 416,581 | See | | | |
989 |
A*01:25 | | USA NMDP European Caucasian | | 0.0000093 | | 1,242,890 | See | | | |
990 |
A*01:25 | | USA NMDP Hispanic South or Central American | | 0.0000030 | | 146,714 | See | | | |
991 |
A*01:25 | | USA NMDP Mexican or Chicano | | 0.0000020 | | 261,235 | See | | | |
992 |
A*01:25 | | USA NMDP Middle Eastern or North Coast of Africa | | 0.0000210 | | 70,890 | See | | | |
993 |
A*01:25 | | USA NMDP North American Amerindian | | 0.0000100 | | 35,791 | See | | | |
994 |
A*01:257 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
995 |
A*01:258N | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
996 |
A*01:259 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
997 |
A*01:26 | | Germany DKMS - German donors | | 0.0000030 | | 3,456,066 | See | | |
|
998 |
A*01:26 | | Germany pop 8 | | 0.0000100 | | 39,689 | See | | | |
999 |
A*01:26 | | Malaysia Peninsular Indian | 0.7 | 0.0037 | | 271 | See | | |
|
1,000 |
A*01:26 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | 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.