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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*02:25 | | Cuba Mixed Race | 0.0 | 0 | | 42 | See | | | |
2,002 |
A*02:25 | | Ghana Ga-Adangbe | 0.8 | 0.0038 | | 131 | See | | | |
2,003 |
A*02:25 | | Iran Baloch | | 0.0060 | | 100 | See | | | |
2,004 |
A*02:25 | | Ireland Northern | 0.0 | 0 | | 1,000 | See | | | |
2,005 |
A*02:25 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
2,006 |
A*02:25 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
2,007 |
A*02:25 | | Kenya Luo | | 0.0040 | | 265 | See | | | |
2,008 |
A*02:25 | | Kenya Nandi | | 0 | | 240 | See | | | |
2,009 |
A*02:25 | | Mali Bandiagara | | 0 | | 138 | See | | | |
2,010 |
A*02:25 | | Mexico Mestizo | 0.0 | 0 | | 41 | See | | | |
2,011 |
A*02:25 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
2,012 |
A*02:25 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,013 |
A*02:25 | | Oman | 0.0 | 0 | | 118 | See | | | |
2,014 |
A*02:25 | | Pakistan Baloch | | 0 | | 66 | See | | | |
2,015 |
A*02:25 | | Pakistan Brahui | | 0 | | 104 | See | | | |
2,016 |
A*02:25 | | Pakistan Burusho | | 0 | | 92 | See | | | |
2,017 |
A*02:25 | | Pakistan Kalash | | 0 | | 69 | See | | | |
2,018 |
A*02:25 | | Pakistan Karachi Parsi | | 0 | | 91 | See | | | |
2,019 |
A*02:25 | | Pakistan Mixed Pathan | | 0 | | 100 | See | | | |
2,020 |
A*02:25 | | Pakistan Mixed Sindhi | | 0 | | 101 | See | | | |
2,021 |
A*02:25 | | Singapore Chinese | 0.0 | 0 | | 149 | See | | | |
2,022 |
A*02:25 | | South Africa Natal Zulu | 0.0 | 0 | | 100 | See | | | |
2,023 |
A*02:25 | | South Korea pop 3 | | 0 | | 485 | See | | | |
2,024 |
A*02:25 | | Uganda Kampala | | 0 | | 161 | See | | | |
2,025 |
A*02:25 | | USA Alaska Yupik | | 0 | | 252 | See | | | |
2,026 |
A*02:25 | | Zambia Lusaka | | 0 | | 44 | See | | | |
2,027 |
A*02:26 | | Brazil Belo Horizonte Caucasian | 0.0 | 0 | | 95 | See | | | |
2,028 |
A*02:26 | | Bulgaria | | 0 | | 55 | See | | | |
2,029 |
A*02:26 | | China Beijing Shijiazhuang Tianjian Han | | 0.0020 | | 618 | See | | | |
2,030 |
A*02:26 | | China North Han | | 0 | | 105 | See | | | |
2,031 |
A*02:26 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
2,032 |
A*02:26 | | Cuba Caucasian | 0.0 | 0 | | 70 | See | | | |
2,033 |
A*02:26 | | Cuba Mixed Race | 0.0 | 0 | | 42 | See | | | |
2,034 |
A*02:26 | | Germany DKMS - Austria minority | | 0.0006 | | 1,698 | See | | | |
2,035 |
A*02:26 | | Ireland Northern | 0.0 | 0 | | 1,000 | See | | | |
2,036 |
A*02:26 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
2,037 |
A*02:26 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
2,038 |
A*02:26 | | Mexico Mestizo | 0.0 | 0 | | 41 | See | | | |
2,039 |
A*02:26 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
2,040 |
A*02:26 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,041 |
A*02:26 | | Oman | 0.0 | 0 | | 118 | See | | | |
2,042 |
A*02:26 | | Pakistan Baloch | | 0 | | 66 | See | | | |
2,043 |
A*02:26 | | Pakistan Brahui | | 0 | | 104 | See | | | |
2,044 |
A*02:26 | | Pakistan Burusho | | 0 | | 92 | See | | | |
2,045 |
A*02:26 | | Pakistan Kalash | | 0 | | 69 | See | | | |
2,046 |
A*02:26 | | Pakistan Karachi Parsi | | 0 | | 91 | See | | | |
2,047 |
A*02:26 | | Pakistan Mixed Pathan | | 0 | | 100 | See | | | |
2,048 |
A*02:26 | | Pakistan Mixed Sindhi | | 0 | | 101 | See | | | |
2,049 |
A*02:26 | | Singapore Chinese | 0.0 | 0 | | 149 | See | | | |
2,050 |
A*02:26 | | South Africa Natal Zulu | 0.0 | 0 | | 100 | See | | | |
2,051 |
A*02:26 | | South Korea pop 3 | | 0 | | 485 | See | | | |
2,052 |
A*02:26 | | USA Alaska Yupik | | 0 | | 252 | See | | | |
2,053 |
A*02:27 | | Bulgaria | | 0 | | 55 | See | | | |
2,054 |
A*02:27 | | China Guangdong Province Meizhou Han | | 0.0050 | | 100 | See | | | |
2,055 |
A*02:27 | | China North Han | | 0 | | 105 | See | | | |
2,056 |
A*02:27 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
2,057 |
A*02:27 | | Germany DKMS - Austria minority | | 0.0003 | | 1,698 | See | | | |
2,058 |
A*02:27 | | Germany DKMS - Greece minority | | 0.0003 | | 1,894 | See | | | |
2,059 |
A*02:27 | | Germany DKMS - Romania minority | | 0.0004 | | 1,234 | See | | | |
2,060 |
A*02:27 | | Germany pop 6 | | 0.0002 | | 8,862 | See | | | |
2,061 |
A*02:27 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
2,062 |
A*02:27 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
2,063 |
A*02:27 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
2,064 |
A*02:27 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,065 |
A*02:27 | | Poland DKMS | | 0.0000200 | | 20,653 | See | | | |
2,066 |
A*02:27 | | South Korea pop 3 | | 0 | | 485 | See | | | |
2,067 |
A*02:27 | | USA Alaska Yupik | | 0 | | 252 | See | | | |
2,068 |
A*02:28 | | Bulgaria | | 0 | | 55 | See | | | |
2,069 |
A*02:28 | | China North Han | | 0 | | 105 | See | | | |
2,070 |
A*02:28 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
2,071 |
A*02:28 | | Germany DKMS - China minority | | 0.0004 | | 1,282 | See | | | |
2,072 |
A*02:28 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
2,073 |
A*02:28 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
2,074 |
A*02:28 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
2,075 |
A*02:28 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,076 |
A*02:28 | | South Korea pop 3 | | 0 | | 485 | See | | | |
2,077 |
A*02:28 | | USA Alaska Yupik | | 0 | | 252 | See | | | |
2,078 |
A*02:29 | | Bulgaria | | 0 | | 55 | See | | | |
2,079 |
A*02:29 | | China North Han | | 0 | | 105 | See | | | |
2,080 |
A*02:29 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
2,081 |
A*02:29 | | Germany pop 6 | | 0.0001 | | 8,862 | See | | | |
2,082 |
A*02:29 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
2,083 |
A*02:29 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
2,084 |
A*02:29 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
2,085 |
A*02:29 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,086 |
A*02:29 | | South Korea pop 3 | | 0 | | 485 | See | | | |
2,087 |
A*02:29 | | USA Alaska Yupik | | 0 | | 252 | See | | | |
2,088 |
A*02:30 | | Bulgaria | | 0 | | 55 | See | | | |
2,089 |
A*02:30 | | China Guangdong Province Meizhou Han | | 0.0050 | | 100 | See | | | |
2,090 |
A*02:30 | | China North Han | | 0 | | 105 | See | | | |
2,091 |
A*02:30 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
2,092 |
A*02:30 | | Germany DKMS - Bosnia and Herzegovina minority | | 0.0015 | | 1,028 | See | | | |
2,093 |
A*02:30 | | Germany DKMS - Romania minority | | 0.0008 | | 1,234 | See | | | |
2,094 |
A*02:30 | | Germany DKMS - United Kingdom minority | | 0.0005 | | 1,043 | See | | | |
2,095 |
A*02:30 | | Germany pop 6 | | 0.0002 | | 8,862 | See | | | |
2,096 |
A*02:30 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
2,097 |
A*02:30 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
2,098 |
A*02:30 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
2,099 |
A*02:30 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
2,100 |
A*02:30 | | Poland DKMS | | 0.0004 | | 20,653 | 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 60,683) records |
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