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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*02:03 |  | Taiwan Han Chinese | | 0.0640 |  | 504 | See |  |  | |
1,002 |
A*02:03 |  | Taiwan pop 2 | | 0.0560 |  | 364 | See |  |  | |
1,003 |
A*02:03 |  | Taiwan pop 3 | | 0.0570 |  | 212 | See |  |  | |
1,004 |
A*02:03 |  | Taiwan Tzu Chi Cord Blood Bank | | 0.0730 |  | 710 | See |  |  | |
1,005 |
A*02:03 |  | Thailand | | 0.0770 |  | 142 | See |  |  | |
1,006 |
A*02:03 |  | Thailand Northeast | | 0.1220 |  | 66 | See |  |  | |
1,007 |
A*02:03 |  | Thailand Northeast pop 2 | | 0.1060 |  | 400 | See |  |  | |
1,008 |
A*02:03 |  | Tunisia | 0.0 | 0 |  | 100 | See |  |  | |
1,009 |
A*02:03 |  | USA African American pop 4 | | 0.0002 |  | 2,411 | See |  |  | |
1,010 |
A*02:03 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
1,011 |
A*02:03 |  | USA Asian pop 2 | | 0.0316 |  | 1,772 | See |  |  | |
1,012 |
A*02:03 |  | USA Caucasian pop 4 | | 0.0009 |  | 1,070 | See |  |  | |
1,013 |
A*02:03 |  | USA Hispanic pop 2 | | 0.0003 |  | 1,999 | See |  |  | |
1,014 |
A*02:03 |  | Vietnam Hanoi Kinh pop 2 | | 0.0790 |  | 170 | See |  |  | |
1,015 |
A*02:03:01 |  | China Guizhou Province Bouyei | | 0.1030 |  | 109 | See |  |  | |
1,016 |
A*02:03:01 |  | China Guizhou Province Miao pop 2 | | 0.1240 |  | 85 | See |  |  | |
1,017 |
A*02:03:01 |  | China Guizhou Province Shui | | 0.1120 |  | 153 | See |  |  | |
1,018 |
A*02:03:01 |  | China Inner Mongolia Region | | 0.0050 |  | 102 | See |  |  | |
1,019 |
A*02:03:01 |  | China Qinghai Province Hui | | 0.0230 |  | 110 | See |  |  | |
1,020 |
A*02:03:01 |  | China Yunnan Province Jinuo | | 0.0780 |  | 109 | See |  |  | |
1,021 |
A*02:03:01 |  | China Yunnan Province Lisu | | 0.1520 |  | 111 | See |  |  | |
1,022 |
A*02:03:01 |  | China Yunnan Province Nu | | 0.0820 |  | 107 | See |  |  | |
1,023 |
A*02:03:01 |  | China Yunnan Province Wa | | 0.0550 |  | 119 | See |  |  | |
1,024 |
A*02:03:01 |  | Indonesia Java pop 2 | | 0.0690 |  | 36 | See |  |  | |
1,025 |
A*02:03:01 |  | Indonesia Sundanese and Javanese | | 0.0370 |  | 201 | See |  |  | |
1,026 |
A*02:03:02 |  | China North Han | | 0 |  | 105 | See |  |  | |
1,027 |
A*02:04 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
1,028 |
A*02:04 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
1,029 |
A*02:04 |  | Cameroon Yaounde | | 0.0060 |  | 92 | See |  |  | |
1,030 |
A*02:04 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0040 |  | 618 | See |  |  | |
1,031 |
A*02:04 |  | China North Han | | 0 |  | 105 | See |  |  | |
1,032 |
A*02:04 |  | China Tibet Region Tibetan | | 0.0030 |  | 158 | See |  |  | |
1,033 |
A*02:04 |  | Cuba Caucasian | 0.0 | 0 |  | 70 | See |  |  | |
1,034 |
A*02:04 |  | Cuba Mixed Race | 0.0 | 0 |  | 42 | See |  |  | |
1,035 |
A*02:04 |  | Georgia Svaneti Region Svan | | 0.0190 |  | 80 | See |  |  | |
1,036 |
A*02:04 |  | Iran Baloch | | 0.0060 |  | 100 | See |  |  | |
1,037 |
A*02:04 |  | Ireland Northern | 0.0 | 0 |  | 1,000 | See |  |  | |
1,038 |
A*02:04 |  | Italy Bergamo | 0.0 | 0 |  | 101 | See |  |  | |
1,039 |
A*02:04 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
1,040 |
A*02:04 |  | Italy pop 5 | | 0.0010 |  | 975 | See |  |  | |
1,041 |
A*02:04 |  | Kenya Luo | | 0 |  | 265 | See |  |  | |
1,042 |
A*02:04 |  | Kenya Nandi | | 0 |  | 240 | See |  |  | |
1,043 |
A*02:04 |  | Mali Bandiagara | | 0 |  | 138 | See |  |  | |
1,044 |
A*02:04 |  | Mexico Guadalajara Mestizo pop 2 | | 0.0050 |  | 103 | See |  |  | |
1,045 |
A*02:04 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
1,046 |
A*02:04 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
1,047 |
A*02:04 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
1,048 |
A*02:04 |  | Oman | 0.0 | 0 |  | 118 | See |  |  | |
1,049 |
A*02:04 |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
1,050 |
A*02:04 |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
1,051 |
A*02:04 |  | Pakistan Burusho | | 0 |  | 92 | See |  |  | |
1,052 |
A*02:04 |  | Pakistan Kalash | | 0 |  | 69 | See |  |  | |
1,053 |
A*02:04 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
1,054 |
A*02:04 |  | Pakistan Mixed Pathan | | 0 |  | 100 | See |  |  | |
1,055 |
A*02:04 |  | Pakistan Mixed Sindhi | | 0 |  | 101 | See |  |  | |
1,056 |
A*02:04 |  | Scotland Orkney | 0.0 | 0 |  | 99 | See |  |  | |
1,057 |
A*02:04 |  | Singapore Chinese | 0.0 | 0 |  | 149 | See |  |  | |
1,058 |
A*02:04 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
1,059 |
A*02:04 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
1,060 |
A*02:04 |  | Tunisia | 0.0 | 0 |  | 100 | See |  |  | |
1,061 |
A*02:04 |  | Uganda Kampala | | 0 |  | 161 | See |  |  | |
1,062 |
A*02:04 |  | USA African American pop 4 | | 0.0002 |  | 2,411 | See |  |  | |
1,063 |
A*02:04 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
1,064 |
A*02:04 |  | USA Asian pop 2 | | 0 |  | 1,772 | See |  |  | |
1,065 |
A*02:04 |  | USA Hispanic pop 2 | | 0.0028 |  | 1,999 | See |  |  | |
1,066 |
A*02:04 |  | Venezuela Sierra de Perija Yucpa | | 0.3140 |  | 73 | See |  |  | |
1,067 |
A*02:04 |  | Zambia Lusaka | | 0 |  | 44 | See |  |  | |
1,068 |
A*02:05 |  | Australia New South Wales Caucasian | | 0.0080 |  | 134 | See |  |  | |
1,069 |
A*02:05 |  | Australia Yuendumu Aborigine | | 0 |  | 191 | See |  |  | |
1,070 |
A*02:05 |  | Azores Central Islands | | 0.0090 |  | 59 | See |  |  | |
1,071 |
A*02:05 |  | Azores Oriental Islands | | 0.0130 |  | 43 | See |  |  | |
1,072 |
A*02:05 |  | Belgium | 1.0 | 0.0050 |  | 99 | See |  |  | |
1,073 |
A*02:05 |  | Brazil Belo Horizonte Caucasian | 5.3 | 0.0260 |  | 95 | See |  |  | |
1,074 |
A*02:05 |  | Bulgaria | | 0.0270 |  | 55 | See |  |  | |
1,075 |
A*02:05 |  | Burkina Faso Fulani | | 0.0920 |  | 49 | See |  |  | |
1,076 |
A*02:05 |  | Burkina Faso Rimaibe | | 0.0430 |  | 47 | See |  |  | |
1,077 |
A*02:05 |  | Cameroon Baka Pygmy | | 0.0500 |  | 10 | See |  |  | |
1,078 |
A*02:05 |  | Cameroon Bamileke | | 0.0260 |  | 77 | See |  |  | |
1,079 |
A*02:05 |  | Cameroon Beti | | 0.0110 |  | 174 | See |  |  | |
1,080 |
A*02:05 |  | Cameroon Sawa | | 0.0380 |  | 13 | See |  |  | |
1,081 |
A*02:05 |  | Cameroon Yaounde | | 0.0220 |  | 92 | See |  |  | |
1,082 |
A*02:05 |  | Cape Verde Northwestern Islands | | 0 |  | 62 | See |  |  | |
1,083 |
A*02:05 |  | Cape Verde Southeastern Islands | | 0.0080 |  | 62 | See |  |  | |
1,084 |
A*02:05 |  | China Beijing | | 0 |  | 67 | See |  |  | |
1,085 |
A*02:05 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0020 |  | 618 | See |  |  | |
1,086 |
A*02:05 |  | China Guangzhou | | 0.0050 |  | 102 | See |  |  | |
1,087 |
A*02:05 |  | China Inner Mongolia Region | | 0.0050 |  | 102 | See |  |  | |
1,088 |
A*02:05 |  | China North Han | | 0.0140 |  | 105 | See |  |  | |
1,089 |
A*02:05 |  | China Qinghai Province Hui | | 0.0090 |  | 110 | See |  |  | |
1,090 |
A*02:05 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
1,091 |
A*02:05 |  | Cuba Caucasian | 4.3 | 0.0210 |  | 70 | See |  |  | |
1,092 |
A*02:05 |  | Cuba Mixed Race | 4.8 | 0.0240 |  | 42 | See |  |  | |
1,093 |
A*02:05 |  | England North West | 2.0 | 0.0100 |  | 298 | See |  |  | |
1,094 |
A*02:05 |  | Georgia Svaneti Region Svan | | 0.0060 |  | 80 | See |  |  | |
1,095 |
A*02:05 |  | Germany DKMS - Austria minority | | 0.0094 |  | 1,698 | See |  |  | |
1,096 |
A*02:05 |  | Germany DKMS - Bosnia and Herzegovina minority | | 0.0088 |  | 1,028 | See |  |  | |
1,097 |
A*02:05 |  | Germany DKMS - China minority | | 0.0043 |  | 1,282 | See |  |  | |
1,098 |
A*02:05 |  | Germany DKMS - Croatia minority | | 0.0071 |  | 2,057 | See |  |  | |
1,099 |
A*02:05 |  | Germany DKMS - France minority | | 0.0079 |  | 1,406 | See |  |  | |
1,100 |
A*02:05 |  | Germany DKMS - Greece minority | | 0.0090 |  | 1,894 | 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 60,683) records |
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