Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
1,901 |
A*02:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 12.7 | 0.0653 | | 5,266 | See | | |
|
1,902 |
A*02:01:01 | | India Andhra Pradesh Golla | | 0.0230 | | 111 | See | | | |
1,903 |
A*02:01:01 | | India Andhra Pradesh Telugu Speaking | 6.5 | 0.0323 | | 186 | See | | |
|
1,904 |
A*02:01:01 | | India Karnataka Kannada Speaking | 8.0 | 0.0400 | | 174 | See | | |
|
1,905 |
A*02:01:01 | | India Kerala Malayalam speaking | 13.8 | 0.0730 | | 356 | See | | |
|
1,906 |
A*02:01:01 | | India Tamil Nadu Nadar | | 0.1070 | | 61 | See | | | |
1,907 |
A*02:01:01 | | Iran Baloch | | 0.2020 | | 100 | See | | | |
1,908 |
A*02:01:01 | | Japan Okinawa Ryukyuan | | 0.1020 | | 143 | See | | | |
1,909 |
A*02:01:01 | | Kenya | | 0.0840 | | 144 | See | | | |
1,910 |
A*02:01:01 | | Madeira | | 0.2460 | | 185 | See | | | |
1,911 |
A*02:01:01 | | Mexico Chihuahua Tarahumara | | 0.2500 | | 44 | See | | | |
1,912 |
A*02:01:01 | | Mexico Guadalajara Mestizo pop 2 | | 0.2230 | | 103 | See | | | |
1,913 |
A*02:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 56.9 | 0.4028 | | 72 | See | | | |
1,914 |
A*02:01:01 | | Mongolia Buryat | | 0.1430 | | 141 | See | | | |
1,915 |
A*02:01:01 | | Morocco Atlantic Coast Chaouya | | 0.1620 | | 98 | See | | | |
1,916 |
A*02:01:01 | | Morocco Nador Metalsa pop 2 | | 0.1780 | | 73 | See | | | |
1,917 |
A*02:01:01 | | Morocco Settat Chaouya | 32.4 | 0.1620 | | 98 | See | | | |
1,918 |
A*02:01:01 | | Nicaragua Mestizo (G) | 36.2 (*) | 0.1940 (*) | | 155 | See | | |
|
1,919 |
A*02:01:01 | | Poland BMR | 49.3 | 0.2848 | | 23,595 | See | | |
|
1,920 |
A*02:01:01 | | Russia Belgorod region | 51.0 | 0.2909 | | 153 | See | | |
|
1,921 |
A*02:01:01 | | Russia Bashkortostan, Bashkirs | 30.8 | 0.1833 | | 120 | See | | |
|
1,922 |
A*02:01:01 | | Russia Bashkortostan, Tatars | 1.0 | 0.0052 | | 192 | See | | |
|
1,923 |
A*02:01:01 | | Russia Nizhny Novgorod, Russians | 2.1 | 0.0103 | | 1,510 | See | | |
|
1,924 |
A*02:01:01 | | Russian Federation Vologda Region | 47.1 | 0.2815 | | 119 | See | | |
|
1,925 |
A*02:01:01 | | Saudi Arabia pop 6 (G) | | 0.2020 (*) | | 28,927 | See | | | |
1,926 |
A*02:01:01 | | South Africa Caucasians | | 0.2600 | | 102 | See | | | |
1,927 |
A*02:01:01 | | South African Black | 10.6 | 0.0599 | | 142 | See | | |
|
1,928 |
A*02:01:01 | | South African Indian population | 8.0 | 0.0400 | | 50 | See | | |
|
1,929 |
A*02:01:01 | | South African Mixed ancestry | 38.0 | 0.2100 | | 50 | See | | |
|
1,930 |
A*02:01:01 | | South Korea pop 3 | | 0 | | 485 | See | | | |
1,931 |
A*02:01:01 | | Spain, Canary Islands, Gran canaria island | 40.5 | 0.2372 | | 215 | See | | |
|
1,932 |
A*02:01:01 | | USA Arizona Gila River Pima | | 0.4242 | | 3,000 | See | | | |
1,933 |
A*02:01:01 | | USA Caucasian | 47.4 | 0.2747 | | 61,655 | See | | | |
1,934 |
A*02:01:01 | | USA New Mexico Canoncito Navajo | | 0.3780 | | 42 | See | | | |
1,935 |
A*02:01:01 | | USA San Francisco Caucasian | | 0.2420 | | 220 | See | | | |
1,936 |
A*02:01:01 | | Vietnam Kinh | 6.0 | 0.0297 | | 101 | See | | |
|
1,937 |
A*02:01:01:01 | | Bolivia/Chile Aymara NA-DHS_13 (G) | 85.0 (*) | 0.5750 (*) | | 20 | See | | |
|
1,938 |
A*02:01:01:01 | | Bolivia/Peru Quechua NA-DHS_12 (G) | 85.7 (*) | 0.6667 (*) | | 21 | See | | |
|
1,939 |
A*02:01:01:01 | | Canada Chipewyan NA-DHS_2 (G) | 76.0 (*) | 0.4800 (*) | | 25 | See | | |
|
1,940 |
A*02:01:01:01 | | Canada Cree NA-DHS_3 (G) | 61.1 (*) | 0.3333 (*) | | 18 | See | | |
|
1,941 |
A*02:01:01:01 | | Canada Ojibwa NA-DHS_4 (G) | 46.7 (*) | 0.3000 (*) | | 16 | See | | |
|
1,942 |
A*02:01:01:01 | | Chile Huilliche NA-DHS_14 (G) | 45.0 (*) | 0.2250 (*) | | 20 | See | | |
|
1,943 |
A*02:01:01:01 | | China Yunnan Province Jinuo | | 0.0090 | | 109 | See | | | |
1,944 |
A*02:01:01:01 | | China Yunnan Province Wa | | 0.0080 | | 119 | See | | | |
1,945 |
A*02:01:01:01 | | Colombia Arhuaco NA-DHS_16 (G) | 5.9 (*) | 0.0294 (*) | | 17 | See | | |
|
1,946 |
A*02:01:01:01 | | Colombia Inga NA-DHS_11 (G) | 13.3 (*) | 0.0667 (*) | | 16 | See | | |
|
1,947 |
A*02:01:01:01 | | Colombia Waunana NA-DHS_20 (G) | 5.0 (*) | 0.0250 (*) | | 20 | See | | |
|
1,948 |
A*02:01:01:01 | | Colombia Wayuu NA-DHS_15 (G) | 13.3 (*) | 0.0667 (*) | | 15 | See | | |
|
1,949 |
A*02:01:01:01 | | Colombia/Brazil Ticuna Tarapaca NA-DHS_22 (G) | 15.8 (*) | 0.0789 (*) | | 19 | See | | |
|
1,950 |
A*02:01:01:01 | | Costa Rica Guaymi NA-DHS_10 (G) | 5.6 (*) | 0.0278 (*) | | 18 | See | | |
|
1,951 |
A*02:01:01:01 | | Guatemala Kaqchikel NA-DHS_8 (G) | 47.4 (*) | 0.2632 (*) | | 19 | See | | |
|
1,952 |
A*02:01:01:01 | | Indonesia Java pop 2 | | 0.0420 | | 36 | See | | | |
1,953 |
A*02:01:01:01 | | Indonesia Sundanese and Javanese | | 0.0750 | | 201 | See | | | |
1,954 |
A*02:01:01:01 | | Libya Cyrenaica | | 0.1570 | | 118 | See | | | |
1,955 |
A*02:01:01:01 | | Mexico Mixe NA-DHS_6 (G) | 55.0 (*) | 0.3250 (*) | | 20 | See | | |
|
1,956 |
A*02:01:01:01 | | Mexico Mixtec NA-DHS_5 (G) | 15.0 (*) | 0.0750 (*) | | 20 | See | | |
|
1,957 |
A*02:01:01:01 | | Mexico Zapotec NA-DHS_7 (G) | 55.0 (*) | 0.4000 (*) | | 20 | See | | |
|
1,958 |
A*02:01:01:01 | | Paraguay/Argentina Ache NA-DHS_24 (G) | 7.7 (*) | 0.0385 (*) | | 13 | See | | |
|
1,959 |
A*02:01:01:01 | | Paraguay/Argentina Guarani NA-DHS_23 (G) | 70.0 (*) | 0.3500 (*) | | 10 | See | | |
|
1,960 |
A*02:01:01:01 | | Russia Bashkortostan, Bashkirs | 19.2 | 0.1167 | | 120 | See | | |
|
1,961 |
A*02:01:01:01 | | Russia Bashkortostan, Tatars | 38.5 | 0.2135 | | 192 | See | | |
|
1,962 |
A*02:01:01:01 | | Russia Nizhny Novgorod, Russians | 46.1 | 0.2705 | | 1,510 | See | | |
|
1,963 |
A*02:01:01:01 | | Russia Tundra Nentsi NA-DHS_1 (G) | 62.5 (*) | 0.3750 (*) | | 16 | See | | |
|
1,964 |
A*02:01:01:01 | | Saudi Arabia pop 5 | 21.5 | 0.1361 | | 158 | See | | | |
1,965 |
A*02:01:01:01 | | USA Eastern European | | 0.2750 | | 558 | See | | | |
1,966 |
A*02:01:01:01 | | USA Italy Ancestry | | 0.2600 | | 273 | See | | | |
1,967 |
A*02:01:01:01 | | USA Mexican American Mestizo | | 0.1970 | | 553 | See | | |
|
1,968 |
A*02:01:01:01 | | USA San Francisco Caucasian | | 0.2420 | | 220 | See | | | |
1,969 |
A*02:01:01:01 | | USA Spain Ancestry | | 0.2150 | | 279 | See | | | |
1,970 |
A*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | | 0.0012 | | 405 | See | | |
|
1,971 |
A*02:01:02 | | Bulgaria | | 0 | | 55 | See | | | |
1,972 |
A*02:01:02 | | China Guangdong Province Meizhou Han | | 0.0050 | | 100 | See | | | |
1,973 |
A*02:01:02 | | China North Han | | 0 | | 105 | See | | | |
1,974 |
A*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0 | 0.0000900 | | 5,266 | See | | |
|
1,975 |
A*02:01:02 | | Kenya | | 0.0030 | | 144 | See | | | |
1,976 |
A*02:01:02 | | Malaysia Kedah Baling Kensiu | | 0.1000 | | 25 | See | | | |
1,977 |
A*02:01:02 | | Malaysia Perak Grik Jehai | | 0.1200 | | 25 | See | | | |
1,978 |
A*02:01:02 | | Mexico Guadalajara Mestizo pop 2 | | 0.0100 | | 103 | See | | | |
1,979 |
A*02:01:02 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
1,980 |
A*02:01:02 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,981 |
A*02:01:02 | | Poland BMR | 0.0042 | 0.0000210 | | 23,595 | See | | |
|
1,982 |
A*02:01:02 | | Saudi Arabia pop 5 | 0.6 | 0.0063 | | 158 | See | | | |
1,983 |
A*02:01:02 | | South Korea pop 3 | | 0 | | 485 | See | | | |
1,984 |
A*02:01:02 | | USA Caucasian | 0.0 | 0 | | 61,655 | See | | | |
1,985 |
A*02:01:03 | | Bulgaria | | 0 | | 55 | See | | | |
1,986 |
A*02:01:03 | | China North Han | | 0 | | 105 | See | | | |
1,987 |
A*02:01:03 | | Japan Okinawa Ryukyuan | | 0.0140 | | 143 | See | | | |
1,988 |
A*02:01:03 | | Mongolia Buryat | | 0.0070 | | 141 | See | | | |
1,989 |
A*02:01:03 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
1,990 |
A*02:01:03 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,991 |
A*02:01:03 | | South Korea pop 3 | | 0 | | 485 | See | | | |
1,992 |
A*02:01:03 | | USA Caucasian | 0.0 | 0 | | 61,655 | See | | | |
1,993 |
A*02:01:04 | | Bulgaria | | 0 | | 55 | See | | | |
1,994 |
A*02:01:04 | | China North Han | | 0 | | 105 | See | | | |
1,995 |
A*02:01:04 | | Costa Rica Guanacaste Mestizo (G) | 1.0 (*) | 0.0050 (*) | | 110 | See | | |
|
1,996 |
A*02:01:04 | | Madeira | | 0.0030 | | 185 | See | | | |
1,997 |
A*02:01:04 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
1,998 |
A*02:01:04 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,999 |
A*02:01:04 | | Russia Nizhny Novgorod, Russians | 0.0662 | 0.0003 | | 1,510 | See | | |
|
2,000 |
A*02:01:04 | | Saudi Arabia pop 5 | 0.6 | 0.0032 | | 158 | 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.