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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 |
901 |
DRB1*01:01:01 | | Russian Federation Vologda Region | 25.2 | 0.1345 | | 119 | See | | |
|
902 |
DRB1*01:01:01 | | Saudi Arabia pop 5 | 1.3 | 0.0063 | | 158 | See | | | |
903 |
DRB1*01:01:01 | | Saudi Arabia pop 6 (G) | | 0.0156 (*) | | 28,927 | See | | | |
904 |
DRB1*01:01:01 | | South African Black | 2.8 | 0.0141 | | 142 | See | | |
|
905 |
DRB1*01:01:01 | | Spain, Canary Islands, Gran canaria island | 13.0 | 0.0674 | | 215 | See | | |
|
906 |
DRB1*01:01:01 | | Taiwan Ami pop 2 | | 0 | | 50 | See | | | |
907 |
DRB1*01:01:01 | | Taiwan Atayal pop 2 | | 0.0340 | | 50 | See | | | |
908 |
DRB1*01:01:01 | | Taiwan Bunun pop 2 | | 0 | | 50 | See | | | |
909 |
DRB1*01:01:01 | | Taiwan Han | | 0.0100 | | 50 | See | | | |
910 |
DRB1*01:01:01 | | Taiwan Minnan and Hakka | | 0.0080 | | 190 | See | | | |
911 |
DRB1*01:01:01 | | Taiwan Orchid Island Yami | | 0 | | 50 | See | | | |
912 |
DRB1*01:01:01 | | Taiwan Paiwan pop 2 | | 0 | | 50 | See | | | |
913 |
DRB1*01:01:01 | | Taiwan Puyuma pop 2 | | 0 | | 50 | See | | | |
914 |
DRB1*01:01:01 | | Taiwan Rukai pop 2 | | 0 | | 50 | See | | | |
915 |
DRB1*01:01:01 | | Taiwan Saisiat pop 2 | | 0 | | 50 | See | | | |
916 |
DRB1*01:01:01 | | Taiwan Tsou pop 2 | | 0 | | 50 | See | | | |
917 |
DRB1*01:01:01 | | USA African American pop 3 | | 0.0220 | | 564 | See | | | |
918 |
DRB1*01:01:01 | | USA Arizona Gila River Pima | | 0.0009 | | 3,000 | See | | | |
919 |
DRB1*01:01:01 | | USA Caucasian | 14.6 | 0.0758 | | 61,655 | See | | | |
920 |
DRB1*01:01:01 | | USA Italy Ancestry | | 0.0680 | | 273 | See | | | |
921 |
DRB1*01:01:01 | | USA Mexican American Mestizo | | 0.0350 | | 553 | See | | | |
922 |
DRB1*01:01:01 | | USA San Francisco Caucasian | | 0.0700 | | 220 | See | | | |
923 |
DRB1*01:01:01 | | USA Spain Ancestry | | 0.0140 | | 279 | See | | | |
924 |
DRB1*01:01:02 | | Canada British Columbia Athabaskan | | 0 | | 62 | See | | | |
925 |
DRB1*01:01:02 | | Costa Rica African -Caribbean (G) | 2.0 (*) | 0.0100 (*) | | 102 | See | | |
|
926 |
DRB1*01:01:02 | | USA African American pop 3 | | 0.0010 | | 564 | See | | | |
927 |
DRB1*01:01:02 | | USA Caucasian | 0.0 | 0 | | 61,655 | See | | | |
928 |
DRB1*01:01:03 | | Argentina Cuyo Region | 2.4 | 0.0120 | | 420 | See | | | |
929 |
DRB1*01:01:08 | | Poland BMR | 0.0042 | 0.0000210 | | 23,595 | See | | |
|
930 |
DRB1*01:02 | | Algeria | | 0.0360 | | 97 | See | | | |
931 |
DRB1*01:02 | | Algeria Oran | | 0.0150 | | 100 | See | | | |
932 |
DRB1*01:02 | | Algeria pop 2 | 16.0 | 0.0834 | | 106 | See | | | |
933 |
DRB1*01:02 | | Argentina Buenos Aires | 2.4 | 0.0120 | | 466 | See | | | |
934 |
DRB1*01:02 | | Argentina Gran Chaco Eastern Toba | | 0.0040 | | 135 | See | | | |
935 |
DRB1*01:02 | | Argentina Gran Chaco Mataco Wichi | | 0 | | 49 | See | | | |
936 |
DRB1*01:02 | | Argentina Gran Chaco Western Toba Pilaga | | 0 | | 19 | See | | | |
937 |
DRB1*01:02 | | Armenia combined Regions | | 0.0400 | | 100 | See | | | |
938 |
DRB1*01:02 | | Austria | 3.5 | 0.0180 | | 200 | See | | | |
939 |
DRB1*01:02 | | Azores Central Islands | | 0.0540 | | 59 | See | | | |
940 |
DRB1*01:02 | | Azores Oriental Islands | | 0.0380 | | 43 | See | | | |
941 |
DRB1*01:02 | | Azores Terceira Island | | 0.0350 | | 130 | See | | | |
942 |
DRB1*01:02 | | Belgium | 4.0 | 0.0200 | | 99 | See | | | |
943 |
DRB1*01:02 | | Bolivia Quechua | | 0.0072 | | 69 | See | | |
|
944 |
DRB1*01:02 | | Bolivia/Peru Quechua NA-DHS_12 (G) | 4.8 (*) | 0.0238 (*) | | 21 | See | | |
|
945 |
DRB1*01:02 | | Brazil Paraná Caucasian | 8.0 | 0.0421 | | 641 | See | | |
|
946 |
DRB1*01:02 | | Brazil Puyanawa | 3.3 | 0.0170 | | 150 | See | | |
|
947 |
DRB1*01:02 | | Brazil Central Plateau Xavante | | 0 | | 74 | See | | | |
948 |
DRB1*01:02 | | Brazil East Amazon | | 0 | | 41 | See | | | |
949 |
DRB1*01:02 | | Brazil Guarani M bya | | 0 | | 93 | See | | | |
950 |
DRB1*01:02 | | Brazil Guarani Nandeva | | 0.0060 | | 86 | See | | | |
951 |
DRB1*01:02 | | Brazil Kaingang | | 0.0080 | | 235 | See | | | |
952 |
DRB1*01:02 | | Brazil Mato Grosso do Sul | | 0.0200 | | 203 | See | | | |
953 |
DRB1*01:02 | | Brazil Mixed | | 0.0350 | | 108 | See | | | |
954 |
DRB1*01:02 | | Brazil North East Mixed | | 0.0560 | | 205 | See | | | |
955 |
DRB1*01:02 | | Brazil South Caucasian | | 0.0208 | | 73 | See | | | |
956 |
DRB1*01:02 | | Brazil Southeast Caucasian | 13.6 | 0.0680 | | 103 | See | | | |
957 |
DRB1*01:02 | | Brazil Southeast Mixed Race | 4.8 | 0.0240 | | 42 | See | | | |
958 |
DRB1*01:02 | | Brazil Vale do Ribeira Quilombos | 0.0800 | 0 | | 144 | See | | | |
959 |
DRB1*01:02 | | Cameroon | | 0.0480 | | 126 | See | | | |
960 |
DRB1*01:02 | | Canada British Columbia Penutian | | 0 | | 26 | See | | | |
961 |
DRB1*01:02 | | Central African Republic Aka Pygmy | 0.0 | 0 | | 93 | See | | | |
962 |
DRB1*01:02 | | Chile Santiago | | 0.0258 | | 920 | See | | |
|
963 |
DRB1*01:02 | | Chile Santiago Mixed | 6.0 | 0.0304 | | 70 | See | | | |
964 |
DRB1*01:02 | | China Beijing and Xian | | 0.0060 | | 171 | See | | | |
965 |
DRB1*01:02 | | China Beijing Shijiazhuang Tianjian Han | | 0.0010 | | 618 | See | | | |
966 |
DRB1*01:02 | | China Harbin Korean | | 0 | | 201 | See | | | |
967 |
DRB1*01:02 | | China Harbin Manchu | | 0 | | 172 | See | | | |
968 |
DRB1*01:02 | | China Hong Kong and Singapore | | 0 | | 135 | See | | | |
969 |
DRB1*01:02 | | China Hubei Han | 0.4 | 0.0021 | | 3,732 | See | | |
|
970 |
DRB1*01:02 | | China Jiangsu Han | | 0.0020 | | 3,238 | See | | | |
971 |
DRB1*01:02 | | China Jiangsu Province Han | | 0.0018 | | 334 | See | | | |
972 |
DRB1*01:02 | | China pop1 | 1.0 | 0.0050 | | 103 | See | | | |
973 |
DRB1*01:02 | | China Urumqi Han | | 0 | | 59 | See | | | |
974 |
DRB1*01:02 | | China Urumqi Kazak | | 0 | | 42 | See | | | |
975 |
DRB1*01:02 | | China Urumqi Uyghur | 3.5 | 0.0180 | | 57 | See | | | |
976 |
DRB1*01:02 | | China Xinjiang Province Uyghur | | 0.0110 | | 92 | See | | | |
977 |
DRB1*01:02 | | China Zhejiang Han pop 2 | | 0.0018 | | 833 | See | | |
|
978 |
DRB1*01:02 | | China, Xinjiang Uyghur Autonomous Region Uyghur | 2.2 | 0.0109 | | 71 | See | | |
|
979 |
DRB1*01:02 | | Colombia Antioquia Paisa | | 0.0100 | | 100 | See | | | |
980 |
DRB1*01:02 | | Colombia Bogota and Medellin Mestizo | | 0.0150 | | 65 | See | | | |
981 |
DRB1*01:02 | | Colombia Bogotá Cord Blood | 7.6 | 0.0393 | | 1,463 | See | | | |
982 |
DRB1*01:02 | | Colombia Guajira Peninsula Wayuu | | 0.0270 | | 88 | See | | | |
983 |
DRB1*01:02 | | Colombia North Eastern Plains Sikuani | | 0.0190 | | 27 | See | | | |
984 |
DRB1*01:02 | | Colombia North Wiwa El Encanto | | 0.0096 | | 52 | See | | |
|
985 |
DRB1*01:02 | | Colombia Northwest Choco | | 0.1000 | | 20 | See | | | |
986 |
DRB1*01:02 | | Colombia Providencia Island African | | 0.0170 | | 30 | See | | | |
987 |
DRB1*01:02 | | Colombia San Basilio de Palenque | | 0.0710 | | 42 | See | | |
|
988 |
DRB1*01:02 | | Colombia Sierra Nevada de Santa Marta Arhuaco | | 0.0330 | | 107 | See | | | |
989 |
DRB1*01:02 | | Colombia Sierra Nevada de Santa Marta Ijka pop 2 | | 0.0170 | | 30 | See | | | |
990 |
DRB1*01:02 | | Congo Kinshasa Bantu | 8.9 | 0.0440 | | 90 | See | | | |
991 |
DRB1*01:02 | | Congo Kinshasa expatriates living in Belgium | 4.6 | 0.0230 | | 75 | See | | | |
992 |
DRB1*01:02 | | Cretan Islanders | | 0.0161 | | 124 | See | | |
|
993 |
DRB1*01:02 | | Croatia Krk Island | | 0.0520 | | 212 | See | | | |
994 |
DRB1*01:02 | | Croatia Krk Island Vrbnik | | 0.0890 | | 28 | See | | | |
995 |
DRB1*01:02 | | Croatia pop 4 | | 0.0135 | | 4,000 | See | | | |
996 |
DRB1*01:02 | | Czech Republic | | 0 | | 106 | See | | | |
997 |
DRB1*01:02 | | Czech Republic NMDR | | 0.0119 | | 5,099 | See | | | |
998 |
DRB1*01:02 | | Czech Republic pop 2 | 2.0 | 0.0100 | | 99 | See | | | |
999 |
DRB1*01:02 | | Czech Republic Romani | 5.9 | 0.0299 | | 34 | See | | | |
1,000 |
DRB1*01:02 | | Denmark | | 0.0090 | | 55 | 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 901 to 1,000
(from 36,066) records |
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