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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 |
1,001 |
A*03:02 | | Kenya Luo | | 0 | | 265 | See | | | |
1,002 |
A*03:02 | | Kenya Nandi | | 0 | | 240 | See | | | |
1,003 |
A*03:02 | | Mali Bandiagara | | 0 | | 138 | See | | | |
1,004 |
A*03:02 | | Mexico Mestizo | 0.0 | 0 | | 41 | See | | | |
1,005 |
A*03:02 | | Pakistan Burusho | | 0 | | 92 | See | | | |
1,006 |
A*03:02 | | Philippines Ivatan | 0.0 | 0 | | 50 | See | | | |
1,007 |
A*03:02 | | Portugal North | | 0 | | 46 | See | | | |
1,008 |
A*03:02 | | Portugal South | | 0 | | 49 | See | | | |
1,009 |
A*03:02 | | Romania | 0.0 | 0 | | 348 | See | | | |
1,010 |
A*03:02 | | Singapore Chinese | 0.0 | 0 | | 149 | See | | | |
1,011 |
A*03:02 | | South Africa Natal Zulu | 0.0 | 0 | | 100 | See | | | |
1,012 |
A*03:02 | | Taiwan Ami | 0.0 | 0 | | 98 | See | | | |
1,013 |
A*03:02 | | Taiwan Atayal | 0.0 | 0 | | 106 | See | | | |
1,014 |
A*03:02 | | Taiwan Bunun | 0.0 | 0 | | 101 | See | | | |
1,015 |
A*03:02 | | Taiwan Hakka | 0.0 | 0 | | 55 | See | | | |
1,016 |
A*03:02 | | Taiwan Minnan pop 1 | 0.0 | 0 | | 102 | See | | | |
1,017 |
A*03:02 | | Taiwan Paiwan | 0.0 | 0 | | 51 | See | | | |
1,018 |
A*03:02 | | Taiwan Pazeh | 0.0 | 0 | | 55 | See | | | |
1,019 |
A*03:02 | | Taiwan Puyuma | 0.0 | 0 | | 50 | See | | | |
1,020 |
A*03:02 | | Taiwan Rukai | 0.0 | 0 | | 50 | See | | | |
1,021 |
A*03:02 | | Taiwan Saisiat | 0.0 | 0 | | 51 | See | | | |
1,022 |
A*03:02 | | Taiwan Siraya | 0.0 | 0 | | 51 | See | | | |
1,023 |
A*03:02 | | Taiwan Tao | 0.0 | 0 | | 50 | See | | | |
1,024 |
A*03:02 | | Taiwan Taroko | 0.0 | 0 | | 55 | See | | | |
1,025 |
A*03:02 | | Taiwan Thao | 0.0 | 0 | | 30 | See | | | |
1,026 |
A*03:02 | | Taiwan Tsou | 0.0 | 0 | | 51 | See | | | |
1,027 |
A*03:02 | | USA African American | | 0 | | 252 | See | | | |
1,028 |
A*03:02 | | USA African American Bethesda | 0.0 | 0 | | 187 | See | | | |
1,029 |
A*03:02 | | USA Asian | | 0 | | 358 | See | | | |
1,030 |
A*03:02 | | USA Caucasian Bethesda | 0.0 | 0 | | 307 | See | | | |
1,031 |
A*03:02 | | USA San Antonio Caucasian | | 0 | | 222 | See | | | |
1,032 |
A*03:02 | | Zambia Lusaka | | 0 | | 44 | See | | | |
1,033 |
A*03:02:01 | | Saudi Arabia pop 6 (G) | | 0.0157 (*) | | 28,927 | See | | | |
1,034 |
A*03:02:01 | | South African Indian population | 2.0 | 0.0100 | | 50 | See | | |
|
1,035 |
A*03:02:01 | | Vietnam Kinh | 2.0 | 0.0099 | | 101 | See | | |
|
1,036 |
A*03:02:01 | | Brazil Rio de Janeiro Black | | 0.0074 | | 68 | See | | |
|
1,037 |
A*03:02:01 | | Brazil Barra Mansa Rio State Black | | 0.0068 | | 73 | See | | |
|
1,038 |
A*03:02:01 | | Brazil Rio de Janeiro Parda | | 0.0059 | | 170 | See | | |
|
1,039 |
A*03:02:01 | | Costa Rica Central Valley Mestizo (G) | 1.0 (*) | 0.0050 (*) | | 221 | See | | |
|
1,040 |
A*03:02:01 | | Russia Bashkortostan, Bashkirs | 0.8 | 0.0042 | | 120 | See | | |
|
1,041 |
A*03:02:01 | | India Andhra Pradesh Telugu Speaking | 0.5 | 0.0027 | | 186 | See | | |
|
1,042 |
A*03:02:01 | | Poland BMR | 0.5 | 0.0026 | | 23,595 | See | | |
|
1,043 |
A*03:02:01 | | Brazil Barra Mansa Rio State Caucasian | | 0.0025 | | 405 | See | | |
|
1,044 |
A*03:02:01 | | Russia Nizhny Novgorod, Russians | 0.5 | 0.0023 | | 1,510 | See | | |
|
1,045 |
A*03:02:01 | | Brazil Rio de Janeiro Caucasian | | 0.0019 | | 521 | See | | |
|
1,046 |
A*03:02:01 | | India Kerala Malayalam speaking | 0.3 | 0.0010 | | 356 | See | | |
|
1,047 |
A*03:02:01 | | England Blood Donors of Mixed Ethnicity | 0.2 | 0.0010 | | 519 | See | | |
|
1,048 |
A*03:02:01 | | China Zhejiang Han | | 0.0009 | | 1,734 | See | | |
|
1,049 |
A*03:03N | | USA NMDP European Caucasian | | 0.0000002 | | 1,242,890 | See | | | |
1,050 |
A*03:03N | | Bulgaria | | 0 | | 55 | See | | | |
1,051 |
A*03:03N | | China North Han | | 0 | | 105 | See | | | |
1,052 |
A*03:03N | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
1,053 |
A*03:03N | | Croatia | | 0 | | 150 | See | | | |
1,054 |
A*03:03N | | Czech Republic | | 0 | | 106 | See | | | |
1,055 |
A*03:03N | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
1,056 |
A*03:03N | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
1,057 |
A*03:03N | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,058 |
A*03:03N | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
1,059 |
A*03:03N | | South Korea pop 3 | | 0 | | 485 | See | | | |
1,060 |
A*03:03N | | USA African American Bethesda | 0.0 | 0 | | 187 | See | | | |
1,061 |
A*03:03N | | USA Alaska Yupik | | 0 | | 252 | See | | | |
1,062 |
A*03:03N | | USA Caucasian Bethesda | 0.0 | 0 | | 307 | See | | | |
1,063 |
A*03:03N | | USA San Antonio Caucasian | | 0 | | 222 | See | | | |
1,064 |
A*03:03N | | USA South Texas Hispanic | | 0 | | 194 | See | | | |
1,065 |
A*03:04 | | Israel USA Jews | | 0.0012 | | 6,058 | See | | |
|
1,066 |
A*03:04 | | Israel Morocco Jews | | 0.0009 | | 36,718 | See | | |
|
1,067 |
A*03:04 | | Israel USSR Jews | | 0.0008 | | 45,681 | See | | |
|
1,068 |
A*03:04 | | Israel Iraq Jews | | 0.0007 | | 13,270 | See | | |
|
1,069 |
A*03:04 | | Israel Argentina Jews | | 0.0007 | | 4,307 | See | | |
|
1,070 |
A*03:04 | | Malaysia Peninsular Malay | 0.1 | 0.0005 | | 951 | See | | |
|
1,071 |
A*03:04 | | Israel Poland Jews | | 0.0004 | | 13,871 | See | | |
|
1,072 |
A*03:04 | | Israel Bukhara Jews | | 0.0004 | | 2,317 | See | | |
|
1,073 |
A*03:04 | | Israel Kavkazi Jews | | 0.0004 | | 2,840 | See | | |
|
1,074 |
A*03:04 | | Israel Ethiopia Jews | | 0.0003 | | 5,928 | See | | |
|
1,075 |
A*03:04 | | Israel YemenJews | | 0.0002 | | 15,542 | See | | |
|
1,076 |
A*03:04 | | Israel Georgia Jews | | 0.0001 | | 4,471 | See | | |
|
1,077 |
A*03:04 | | Israel Tunisia Jews | | 0.0000920 | | 9,070 | See | | |
|
1,078 |
A*03:04 | | Israel Libya Jews | | 0.0000890 | | 3,739 | See | | |
|
1,079 |
A*03:04 | | Israel Iran Jews | | 0.0000820 | | 8,153 | See | | |
|
1,080 |
A*03:04 | | Israel Druze | | 0.0000560 | | 5,914 | See | | |
|
1,081 |
A*03:04 | | Israel Arab pop 2 | | 0.0000410 | | 12,301 | See | | |
|
1,082 |
A*03:04 | | Israel Ashkenazi Jews pop 3 | | 0.0000360 | | 4,625 | See | | |
|
1,083 |
A*03:04 | | USA NMDP Caribean Hispanic | | 0.0000260 | | 115,374 | See | | | |
1,084 |
A*03:04 | | USA NMDP South Asian Indian | | 0.0000030 | | 185,391 | See | | | |
1,085 |
A*03:04 | | Germany DKMS - German donors | | 0.0000010 | | 3,456,066 | See | | |
|
1,086 |
A*03:04 | | USA NMDP European Caucasian | | 0.0000002 | | 1,242,890 | See | | | |
1,087 |
A*03:04 | | Bulgaria | | 0 | | 55 | See | | | |
1,088 |
A*03:04 | | China North Han | | 0 | | 105 | See | | | |
1,089 |
A*03:04 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
1,090 |
A*03:04 | | Croatia | | 0 | | 150 | See | | | |
1,091 |
A*03:04 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
1,092 |
A*03:04 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
1,093 |
A*03:04 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
1,094 |
A*03:04 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,095 |
A*03:04 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
1,096 |
A*03:04 | | South Korea pop 3 | | 0 | | 485 | See | | | |
1,097 |
A*03:04 | | Sudan Mixed | 0.0 | 0 | | 200 | See | | | |
1,098 |
A*03:04 | | USA African American Bethesda | 0.0 | 0 | | 187 | See | | | |
1,099 |
A*03:04 | | USA Alaska Yupik | | 0 | | 252 | See | | | |
1,100 |
A*03:04 | | USA Caucasian Bethesda | 0.0 | 0 | | 307 | 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 1,001 to 1,100
(from 1,593) records |
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