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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 |
2,001 |
A*02:01:08 | | Bulgaria | | 0 | | 55 | See | | | |
2,002 |
A*02:01:08 | | China North Han | | 0 | | 105 | See | | | |
2,003 |
A*02:01:08 | | India Kerala Malayalam speaking | 0.3 | 0.0010 | | 356 | See | | |
|
2,004 |
A*02:01:08 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,005 |
A*02:01:08 | | USA Caucasian | 0.0 | 0 | | 61,655 | See | | | |
2,006 |
A*02:01:09 | | Brazil Barra Mansa Rio State Caucasian | | 0.0012 | | 405 | See | | |
|
2,007 |
A*02:01:09 | | Bulgaria | | 0 | | 55 | See | | | |
2,008 |
A*02:01:09 | | China North Han | | 0 | | 105 | See | | | |
2,009 |
A*02:01:09 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,010 |
A*02:01:09 | | Poland BMR | 0.0042 | 0.0000210 | | 23,595 | See | | |
|
2,011 |
A*02:01:09 | | Russia Nizhny Novgorod, Russians | 0.1 | 0.0007 | | 1,510 | See | | |
|
2,012 |
A*02:01:09 | | Russian Federation Vologda Region | 0.8 | 0.0042 | | 119 | See | | |
|
2,013 |
A*02:01:09 | | Saudi Arabia pop 6 (G) | | 0.0003 (*) | | 28,927 | See | | | |
2,014 |
A*02:01:09 | | USA Caucasian | 0.0 | 0 | | 61,655 | See | | | |
2,015 |
A*02:01:10 | | China North Han | | 0 | | 105 | See | | | |
2,016 |
A*02:01:10 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,017 |
A*02:01:10 | | USA Arizona Gila River Pima | | 0.0002 | | 3,000 | See | | | |
2,018 |
A*02:01:11 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,019 |
A*02:01:12 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,020 |
A*02:01:13 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,021 |
A*02:01:14Q | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | |
|
2,022 |
A*02:01:15 | | Brazil Barra Mansa Rio State Caucasian | | 0.0025 | | 405 | See | | |
|
2,023 |
A*02:01:15 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,024 |
A*02:01:17 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,025 |
A*02:01:18 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,026 |
A*02:01:19 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,027 |
A*02:01:21 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,028 |
A*02:01:22 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,029 |
A*02:01:23 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,030 |
A*02:01:23 | | Poland BMR | 0.0042 | 0.0000210 | | 23,595 | See | | |
|
2,031 |
A*02:01:24 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,032 |
A*02:01:24 | | USA Arizona Gila River Pima | | 0.0002 | | 3,000 | See | | | |
2,033 |
A*02:01:25 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,034 |
A*02:01:26 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,035 |
A*02:01:27 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,036 |
A*02:01:28 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,037 |
A*02:01:29 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,038 |
A*02:01:30 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,039 |
A*02:01:31 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,040 |
A*02:01:32 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,041 |
A*02:01:33 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,042 |
A*02:01:34 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,043 |
A*02:01:35 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,044 |
A*02:01:35 | | USA Arizona Gila River Pima | | 0.0002 | | 3,000 | See | | | |
2,045 |
A*02:01:36 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,046 |
A*02:01:36 | | Saudi Arabia pop 5 | 0.6 | 0.0032 | | 158 | See | | | |
2,047 |
A*02:01:37 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,048 |
A*02:01:38 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,049 |
A*02:01:39 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,050 |
A*02:01:40 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,051 |
A*02:01:41 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,052 |
A*02:01:42 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,053 |
A*02:01:52 | | Poland BMR | 0.0042 | 0.0000210 | | 23,595 | See | | |
|
2,054 |
A*02:01:61 | | USA Arizona Gila River Pima | | 0.0003 | | 3,000 | See | | | |
2,055 |
A*02:01:66 | | USA Arizona Gila River Pima | | 0.0002 | | 3,000 | See | | | |
2,056 |
A*02:01:70 | | USA Arizona Gila River Pima | | 0.0002 | | 3,000 | See | | | |
2,057 |
A*02:01:110 | | USA Arizona Gila River Pima | | 0.0003 | | 3,000 | See | | | |
2,058 |
A*02:01:111 | | USA Arizona Gila River Pima | | 0.0002 | | 3,000 | See | | | |
2,059 |
A*02:02 | | Argentina Rosario Toba | 7.0 | 0.0410 | | 86 | See | | | |
2,060 |
A*02:02 | | Azores Central Islands | | 0.0180 | | 59 | See | | | |
2,061 |
A*02:02 | | Azores Oriental Islands | | 0.0130 | | 43 | See | | | |
2,062 |
A*02:02 | | Azores Terceira Island | | 0.0270 | | 130 | See | | | |
2,063 |
A*02:02 | | Belgium | 1.0 | 0.0050 | | 99 | See | | | |
2,064 |
A*02:02 | | Brazil Belo Horizonte Caucasian | 0.0 | 0 | | 95 | See | | | |
2,065 |
A*02:02 | | Brazil Mixed | | 0.0400 | | 108 | See | | | |
2,066 |
A*02:02 | | Brazil Vale do Ribeira Quilombos | 0.0140 | 0 | | 144 | See | | | |
2,067 |
A*02:02 | | Bulgaria | | 0 | | 55 | See | | | |
2,068 |
A*02:02 | | Burkina Faso Fulani | | 0 | | 49 | See | | | |
2,069 |
A*02:02 | | Burkina Faso Rimaibe | | 0.0530 | | 47 | See | | | |
2,070 |
A*02:02 | | Cameroon Baka Pygmy | | 0 | | 10 | See | | | |
2,071 |
A*02:02 | | Cameroon Bamileke | | 0.1040 | | 77 | See | | | |
2,072 |
A*02:02 | | Cameroon Beti | | 0.0600 | | 174 | See | | | |
2,073 |
A*02:02 | | Cameroon Sawa | | 0 | | 13 | See | | | |
2,074 |
A*02:02 | | Cameroon Yaounde | | 0.0820 | | 92 | See | | | |
2,075 |
A*02:02 | | Cape Verde Northwestern Islands | | 0.0080 | | 62 | See | | | |
2,076 |
A*02:02 | | Cape Verde Southeastern Islands | | 0.0240 | | 62 | See | | | |
2,077 |
A*02:02 | | Chile Mapuche | | 0.0077 | | 66 | See | | |
|
2,078 |
A*02:02 | | China Hubei Han | 0.0300 | 0.0001 | | 3,732 | See | | |
|
2,079 |
A*02:02 | | China Inner Mongolia Region | | 0 | | 102 | See | | | |
2,080 |
A*02:02 | | China Jiangsu Province Han | | 0.0018 | | 334 | See | | | |
2,081 |
A*02:02 | | China North Han | | 0 | | 105 | See | | | |
2,082 |
A*02:02 | | China Qinghai Province Hui | | 0.0140 | | 110 | See | | | |
2,083 |
A*02:02 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
2,084 |
A*02:02 | | Colombia Bogotá Cord Blood | 0.8 | 0.0041 | | 1,463 | See | | | |
2,085 |
A*02:02 | | Costa Rica African -Caribbean (G) | 11.8 (*) | 0.0640 (*) | | 102 | See | | |
|
2,086 |
A*02:02 | | Costa Rica Central Valley Mestizo (G) | 0.4 (*) | 0.0020 (*) | | 221 | See | | |
|
2,087 |
A*02:02 | | Costa Rica Guanacaste Mestizo (G) | 2.8 (*) | 0.0140 (*) | | 110 | See | | |
|
2,088 |
A*02:02 | | Croatia | | 0 | | 150 | See | | | |
2,089 |
A*02:02 | | Croatia pop 4 | | 0.0004 | | 4,000 | See | | | |
2,090 |
A*02:02 | | Cuba Caucasian | 0.0 | 0 | | 70 | See | | | |
2,091 |
A*02:02 | | Cuba Mixed Race | 2.4 | 0.0120 | | 42 | See | | | |
2,092 |
A*02:02 | | Czech Republic | | 0.0050 | | 106 | See | | | |
2,093 |
A*02:02 | | Czech Republic NMDR | | 0.0012 | | 5,099 | See | | | |
2,094 |
A*02:02 | | France Southeast | 0.8 | 0.0040 | | 130 | See | | | |
2,095 |
A*02:02 | | Gaza | 2.4 | 0.0119 | | 42 | See | | |
|
2,096 |
A*02:02 | | Georgia Svaneti Region Svan | | 0.0380 | | 80 | See | | | |
2,097 |
A*02:02 | | Georgia Tibilisi | | 0.0100 | | 109 | See | | | |
2,098 |
A*02:02 | | Germany DKMS - Austria minority | | 0.0006 | | 1,698 | See | | | |
2,099 |
A*02:02 | | Germany DKMS - Bosnia and Herzegovina minority | | 0.0015 | | 1,028 | See | | | |
2,100 |
A*02:02 | | Germany DKMS - Croatia minority | | 0.0002 | | 2,057 | 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 2,001 to 2,100
(from 151,340) records |
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