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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 |
24,001 |
A*33:23 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
24,002 |
A*33:23 |  | Netherlands Leiden | | 0 |  | 1,305 | See |  |  | |
24,003 |
A*33:24 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
24,004 |
A*33:24 |  | USA NMDP African American pop 2 | | 0.0000010 |  | 416,581 | See |  |  | |
24,005 |
A*33:24 |  | USA NMDP European Caucasian | | 0.0000004 |  | 1,242,890 | See |  |  | |
24,006 |
A*33:25 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
24,007 |
A*33:25 |  | South Korea pop 10 | | 0.0005 |  | 4,128 | See |  |  | |
24,008 |
A*33:26 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
24,009 |
A*33:26 |  | Germany DKMS - Turkey minority | | 0.0002 |  | 4,856 | See |  |  | |
24,010 |
A*33:26 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
24,011 |
A*33:27 |  | Germany DKMS - German donors | | 0.0000100 |  | 3,456,066 | See |  |  |
|
24,012 |
A*33:27 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
24,013 |
A*33:28 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
24,014 |
A*33:28 |  | USA NMDP Korean | | 0.0000060 |  | 77,584 | See |  |  | |
24,015 |
A*33:29 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
24,016 |
A*33:30 |  | Panama | | 0.0011 |  | 462 | See |  |  |
|
24,017 |
A*33:34 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
24,018 |
A*33:36 |  | Israel Arab pop 2 | | 0.0000270 |  | 12,301 | See |  |  |
|
24,019 |
A*33:36 |  | Israel Argentina Jews | | 0.0000390 |  | 4,307 | See |  |  |
|
24,020 |
A*33:36 |  | Israel Ashkenazi Jews pop 3 | | 0.0004 |  | 4,625 | See |  |  |
|
24,021 |
A*33:36 |  | Israel Bukhara Jews | | 0.0008 |  | 2,317 | See |  |  |
|
24,022 |
A*33:36 |  | Israel Ethiopia Jews | | 0.0003 |  | 5,928 | See |  |  |
|
24,023 |
A*33:36 |  | Israel Georgia Jews | | 0.0008 |  | 4,471 | See |  |  |
|
24,024 |
A*33:36 |  | Israel Iran Jews | | 0.0001 |  | 8,153 | See |  |  |
|
24,025 |
A*33:36 |  | Israel Iraq Jews | | 0.0000630 |  | 13,270 | See |  |  |
|
24,026 |
A*33:36 |  | Israel Kavkazi Jews | | 0.0002 |  | 2,840 | See |  |  |
|
24,027 |
A*33:36 |  | Israel Libya Jews | | 0.0003 |  | 3,739 | See |  |  |
|
24,028 |
A*33:36 |  | Israel Morocco Jews | | 0.0000270 |  | 36,718 | See |  |  |
|
24,029 |
A*33:36 |  | Israel Poland Jews | | 0.0000360 |  | 13,871 | See |  |  |
|
24,030 |
A*33:36 |  | Israel YemenJews | | 0.0005 |  | 15,542 | See |  |  |
|
24,031 |
A*33:37 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
24,032 |
A*33:43 |  | USA NMDP African American pop 2 | | 0.0000010 |  | 416,581 | See |  |  | |
24,033 |
A*33:43 |  | USA NMDP European Caucasian | | 0.0000002 |  | 1,242,890 | See |  |  | |
24,034 |
A*33:46 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
24,035 |
A*33:50 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
24,036 |
A*33:54 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
24,037 |
A*33:55 |  | India Central UCBB | 0.0200 | 0.0001 |  | 4,204 | See |  |  |
|
24,038 |
A*33:60 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
24,039 |
A*33:65 |  | India Kerala Malayalam speaking | 0.3 | 0.0014 |  | 356 | See |  |  |
|
24,040 |
A*33:65 |  | India South UCBB | 0.0100 | 0.0000400 |  | 11,446 | See |  |  |
|
24,041 |
A*33:71 |  | India Tamil Nadu | | 0.0006 |  | 2,492 | See |  |  |
|
24,042 |
A*33:73N |  | India South UCBB | 0.0100 | 0.0000400 |  | 11,446 | See |  |  |
|
24,043 |
A*33:81 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
24,044 |
A*33:119 |  | India South UCBB | 0.0200 | 0.0000900 |  | 11,446 | See |  |  |
|
24,045 |
A*33:123N |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
24,046 |
A*33:125 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
24,047 |
A*33:136 |  | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0200 | 0.0001 |  | 4,335 | See |  |  |
|
24,048 |
A*33:146 |  | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0 | 0.0000900 |  | 5,266 | See |  |  |
|
24,049 |
A*33:146 |  | India Central UCBB | 0.0200 | 0.0001 |  | 4,204 | See |  |  |
|
24,050 |
A*33:146 |  | India North UCBB | 0.0300 | 0.0002 |  | 5,849 | See |  |  |
|
24,051 |
A*33:146 |  | India South UCBB | 0.0100 | 0.0000400 |  | 11,446 | See |  |  |
|
24,052 |
A*33:148 |  | India Central UCBB | 0.0200 | 0.0001 |  | 4,204 | See |  |  |
|
24,053 |
A*33:153 |  | India North UCBB | 0.0200 | 0.0000900 |  | 5,849 | See |  |  |
|
24,054 |
A*33:160 |  | India South UCBB | 0.0200 | 0.0000900 |  | 11,446 | See |  |  |
|
24,055 |
A*33:163 |  | India South UCBB | 0.0100 | 0.0000400 |  | 11,446 | See |  |  |
|
24,056 |
A*33:166 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
24,057 |
A*33:167 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
24,058 |
A*33:168 |  | Germany DKMS - German donors | | 0 |  | 3,456,066 | See |  |  |
|
24,059 |
A*34 |  | Algeria pop 2 | 3.0 | 0.0151 |  | 106 | See |  |  | |
24,060 |
A*34 |  | Argentina Buenos Aires | 0.2 | 0.0010 |  | 466 | See |  |  | |
24,061 |
A*34 |  | Argentina Buenos Aires pop 2 | 0.5 | 0.0030 |  | 1,216 | See |  |  | |
24,062 |
A*34 |  | Argentina Chiriguano | 0.0 | 0 |  | 54 | See |  |  | |
24,063 |
A*34 |  | Argentina Corrientes | 1.3 | 0.0060 |  | 155 | See |  |  | |
24,064 |
A*34 |  | Argentina Cuyo Region | 0.5 | 0.0020 |  | 420 | See |  |  | |
24,065 |
A*34 |  | Argentina La Plata | 2.0 | 0.0090 |  | 100 | See |  |  | |
24,066 |
A*34 |  | Argentina Rosario Toba | 0.0 | 0 |  | 86 | See |  |  | |
24,067 |
A*34 |  | Argentina Salta Wichi pop 2 | 0.0 | 0 |  | 19 | See |  |  | |
24,068 |
A*34 |  | Australia West Caucasian | 2.2 | 0.0110 |  | 891 | See |  |  | |
24,069 |
A*34 |  | Austria | 1.5 | 0.0080 |  | 200 | See |  |  | |
24,070 |
A*34 |  | Azores | | 0.0040 |  | 1,050 | See |  |  | |
24,071 |
A*34 |  | Bosnia and Herzegovina | | 0 |  | 134 | See |  |  | |
24,072 |
A*34 |  | Brazil Paraná Caucasian | 1.2 | 0.0062 |  | 641 | See |  |  |
|
24,073 |
A*34 |  | Brazil Curitiba-Parana Mixed | | 0.0021 |  | 264 | See |  |  | |
24,074 |
A*34 |  | Brazil Minas Gerais State Mixed | 2.3 | 0.0120 |  | 1,000 | See |  |  | |
24,075 |
A*34 |  | Brazil Para State | 1.0 | 0.0098 |  | 5,000 | See |  |  |
|
24,076 |
A*34 |  | Brazil Parana Afro Brazilian | 1.3 | 0.0060 |  | 77 | See |  |  | |
24,077 |
A*34 |  | Brazil Parana Cafuzo | 0.3 | 0.0020 |  | 319 | See |  |  | |
24,078 |
A*34 |  | Brazil Parana Caucasian | 0.6 | 0.0030 |  | 2,775 | See |  |  | |
24,079 |
A*34 |  | Brazil Parana Mixed race | 1.1 | 0.0050 |  | 186 | See |  |  | |
24,080 |
A*34 |  | Brazil Parana Oriental | 0.0 | 0 |  | 33 | See |  |  | |
24,081 |
A*34 |  | Brazil Pernambuco Mixed | | 0.0050 |  | 101 | See |  |  | |
24,082 |
A*34 |  | Brazil Piaui Mixed | | 0.0100 |  | 21,943 | See |  |  | |
24,083 |
A*34 |  | Brazil REDOME Acre | | 0.0111 |  | 859 | See |  |  | |
24,084 |
A*34 |  | Brazil REDOME Alagoas | | 0.0098 |  | 25,349 | See |  |  | |
24,085 |
A*34 |  | Brazil REDOME Amapa | | 0.0107 |  | 17,864 | See |  |  | |
24,086 |
A*34 |  | Brazil REDOME Amazonas | | 0.0075 |  | 24,129 | See |  |  | |
24,087 |
A*34 |  | Brazil REDOME Bahia | | 0.0145 |  | 47,399 | See |  |  | |
24,088 |
A*34 |  | Brazil REDOME Ceara | | 0.0089 |  | 101,217 | See |  |  | |
24,089 |
A*34 |  | Brazil REDOME Espirito Santo | | 0.0100 |  | 88,485 | See |  |  | |
24,090 |
A*34 |  | Brazil REDOME Federal District | | 0.0088 |  | 29,549 | See |  |  | |
24,091 |
A*34 |  | Brazil REDOME Goias | | 0.0089 |  | 88,574 | See |  |  | |
24,092 |
A*34 |  | Brazil REDOME Maranhao | | 0.0119 |  | 10,180 | See |  |  | |
24,093 |
A*34 |  | Brazil REDOME Mato Grosso | | 0.0082 |  | 34,649 | See |  |  | |
24,094 |
A*34 |  | Brazil REDOME Mato Grosso do Sul | | 0.0074 |  | 95,667 | See |  |  | |
24,095 |
A*34 |  | Brazil REDOME Minas Gerais | | 0.0100 |  | 211,275 | See |  |  | |
24,096 |
A*34 |  | Brazil REDOME Para | | 0.0084 |  | 72,637 | See |  |  | |
24,097 |
A*34 |  | Brazil REDOME Paraiba | | 0.0085 |  | 43,868 | See |  |  | |
24,098 |
A*34 |  | Brazil REDOME Parana | | 0.0053 |  | 341,639 | See |  |  | |
24,099 |
A*34 |  | Brazil REDOME Pernambuco | | 0.0095 |  | 92,332 | See |  |  | |
24,100 |
A*34 |  | Brazil REDOME Piaui | | 0.0101 |  | 46,140 | 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.