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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 |
| 1,901 |
A*02:14 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 1,902 |
A*02:14 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
| 1,903 |
A*02:14 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
| 1,904 |
A*02:14 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
| 1,905 |
A*02:14 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
| 1,906 |
A*02:14 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
| 1,907 |
A*02:14 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
| 1,908 |
A*02:14 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
| 1,909 |
A*02:14 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
| 1,910 |
A*02:14 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
| 1,911 |
A*02:14 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
| 1,912 |
A*02:14 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
| 1,913 |
A*02:14 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
| 1,914 |
A*02:14 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
| 1,915 |
A*02:14 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
| 1,916 |
A*02:14 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
| 1,917 |
A*02:14 |  | Turkey pop 5 | | 0 |  | 142 | See |  |  | |
| 1,918 |
A*02:14 |  | Uganda Kampala | | 0.0060 |  | 161 | See |  |  | |
| 1,919 |
A*02:14 |  | Uganda Kampala pop 2 | | 0.0200 |  | 175 | See |  |  | |
| 1,920 |
A*02:14 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 1,921 |
A*02:14 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 1,922 |
A*02:14 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 1,923 |
A*02:14 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 1,924 |
A*02:14 |  | Zambia Lusaka | | 0.0120 |  | 44 | See |  |  | |
| 1,925 |
A*02:15N |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
| 1,926 |
A*02:15N |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 1,927 |
A*02:15N |  | China Beijing Shijiazhuang Tianjian Han | | 0.0010 |  | 618 | See |  |  | |
| 1,928 |
A*02:15N |  | China North Han | | 0 |  | 105 | See |  |  | |
| 1,929 |
A*02:15N |  | Croatia | | 0 |  | 150 | See |  |  | |
| 1,930 |
A*02:15N |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 1,931 |
A*02:15N |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 1,932 |
A*02:15N |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
| 1,933 |
A*02:15N |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 1,934 |
A*02:15N |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,935 |
A*02:15N |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
| 1,936 |
A*02:15N |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
| 1,937 |
A*02:15N |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
| 1,938 |
A*02:15N |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
| 1,939 |
A*02:15N |  | Scotland Orkney | 0.0 | 0 |  | 99 | See |  |  | |
| 1,940 |
A*02:15N |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
| 1,941 |
A*02:15N |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 1,942 |
A*02:15N |  | Turkey pop 5 | | 0 |  | 142 | See |  |  | |
| 1,943 |
A*02:15N |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 1,944 |
A*02:15N |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 1,945 |
A*02:15N |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 1,946 |
A*02:16 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
| 1,947 |
A*02:16 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 1,948 |
A*02:16 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 1,949 |
A*02:16 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 1,950 |
A*02:16 |  | Croatia | | 0 |  | 150 | See |  |  | |
| 1,951 |
A*02:16 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 1,952 |
A*02:16 |  | Georgia Svaneti Region Svan | | 0.0060 |  | 80 | See |  |  | |
| 1,953 |
A*02:16 |  | India Andhra Pradesh Golla | | 0.0060 |  | 111 | See |  |  | |
| 1,954 |
A*02:16 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 1,955 |
A*02:16 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
| 1,956 |
A*02:16 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 1,957 |
A*02:16 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 1,958 |
A*02:16 |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
| 1,959 |
A*02:16 |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
| 1,960 |
A*02:16 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
| 1,961 |
A*02:16 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
| 1,962 |
A*02:16 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
| 1,963 |
A*02:16 |  | Scotland Orkney | 0.0 | 0 |  | 99 | See |  |  | |
| 1,964 |
A*02:16 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
| 1,965 |
A*02:16 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 1,966 |
A*02:16 |  | Sri Lanka Colombo Sinhalese | | 0.0090 |  | 101 | See |  |  | |
| 1,967 |
A*02:16 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
| 1,968 |
A*02:16 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
| 1,969 |
A*02:16 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
| 1,970 |
A*02:16 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
| 1,971 |
A*02:16 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
| 1,972 |
A*02:16 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
| 1,973 |
A*02:16 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
| 1,974 |
A*02:16 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
| 1,975 |
A*02:16 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
| 1,976 |
A*02:16 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
| 1,977 |
A*02:16 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
| 1,978 |
A*02:16 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
| 1,979 |
A*02:16 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
| 1,980 |
A*02:16 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
| 1,981 |
A*02:16 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
| 1,982 |
A*02:16 |  | Turkey pop 5 | | 0 |  | 142 | See |  |  | |
| 1,983 |
A*02:16 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 1,984 |
A*02:16 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 1,985 |
A*02:16 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 1,986 |
A*02:16 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 1,987 |
A*02:17 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
| 1,988 |
A*02:17 |  | Brazil Mixed | | 0.0050 |  | 108 | See |  |  | |
| 1,989 |
A*02:17 |  | Bulgaria | | 0.0090 |  | 55 | See |  |  | |
| 1,990 |
A*02:17 |  | Cape Verde Northwestern Islands | | 0 |  | 62 | See |  |  | |
| 1,991 |
A*02:17 |  | Cape Verde Southeastern Islands | | 0.0080 |  | 62 | See |  |  | |
| 1,992 |
A*02:17 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0010 |  | 618 | See |  |  | |
| 1,993 |
A*02:17 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 1,994 |
A*02:17 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 1,995 |
A*02:17 |  | Croatia | | 0.0030 |  | 150 | See |  |  | |
| 1,996 |
A*02:17 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 1,997 |
A*02:17 |  | Georgia Tibilisi | | 0.0050 |  | 109 | See |  |  | |
| 1,998 |
A*02:17 |  | Guinea Bissau | | 0 |  | 65 | See |  |  | |
| 1,999 |
A*02:17 |  | India Delhi pop 2 | 1.1 | 0.0050 |  | 90 | See |  |  | |
| 2,000 |
A*02:17 |  | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0090 |  | 146 | 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 1,901 to 2,000
(from 64,836) records |
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