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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 |
| 2,101 |
A*02:19 |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
| 2,102 |
A*02:19 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
| 2,103 |
A*02:19 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
| 2,104 |
A*02:19 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
| 2,105 |
A*02:19 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
| 2,106 |
A*02:19 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 2,107 |
A*02:19 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
| 2,108 |
A*02:19 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
| 2,109 |
A*02:19 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
| 2,110 |
A*02:19 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
| 2,111 |
A*02:19 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
| 2,112 |
A*02:19 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
| 2,113 |
A*02:19 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
| 2,114 |
A*02:19 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
| 2,115 |
A*02:19 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
| 2,116 |
A*02:19 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
| 2,117 |
A*02:19 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
| 2,118 |
A*02:19 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
| 2,119 |
A*02:19 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
| 2,120 |
A*02:19 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
| 2,121 |
A*02:19 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
| 2,122 |
A*02:19 |  | Turkey pop 5 | | 0 |  | 142 | See |  |  | |
| 2,123 |
A*02:19 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 2,124 |
A*02:19 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 2,125 |
A*02:19 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 2,126 |
A*02:19 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 2,127 |
A*02:20 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
| 2,128 |
A*02:20 |  | Brazil Mixed | | 0.0050 |  | 108 | See |  |  | |
| 2,129 |
A*02:20 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0020 |  | 618 | See |  |  | |
| 2,130 |
A*02:20 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 2,131 |
A*02:20 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 2,132 |
A*02:20 |  | Croatia | | 0 |  | 150 | See |  |  | |
| 2,133 |
A*02:20 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 2,134 |
A*02:20 |  | Georgia Svaneti Region Svan | | 0.0060 |  | 80 | See |  |  | |
| 2,135 |
A*02:20 |  | Georgia Tibilisi | | 0.0050 |  | 109 | See |  |  | |
| 2,136 |
A*02:20 |  | Guinea Bissau Balanta | | 0.0100 |  | 48 | See |  |  | |
| 2,137 |
A*02:20 |  | Guinea Bissau Bijago | | 0 |  | 23 | See |  |  | |
| 2,138 |
A*02:20 |  | Guinea Bissau Fula | | 0 |  | 31 | See |  |  | |
| 2,139 |
A*02:20 |  | Guinea Bissau Papel | | 0 |  | 25 | See |  |  | |
| 2,140 |
A*02:20 |  | India Andhra Pradesh Golla | | 0.0060 |  | 111 | See |  |  | |
| 2,141 |
A*02:20 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 2,142 |
A*02:20 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
| 2,143 |
A*02:20 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 2,144 |
A*02:20 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 2,145 |
A*02:20 |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
| 2,146 |
A*02:20 |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
| 2,147 |
A*02:20 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
| 2,148 |
A*02:20 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
| 2,149 |
A*02:20 |  | Portugal Center | | 0.0100 |  | 50 | See |  |  | |
| 2,150 |
A*02:20 |  | Portugal North | | 0 |  | 46 | See |  |  | |
| 2,151 |
A*02:20 |  | Portugal South | | 0 |  | 49 | See |  |  | |
| 2,152 |
A*02:20 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
| 2,153 |
A*02:20 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
| 2,154 |
A*02:20 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
| 2,155 |
A*02:20 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
| 2,156 |
A*02:20 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
| 2,157 |
A*02:20 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
| 2,158 |
A*02:20 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
| 2,159 |
A*02:20 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
| 2,160 |
A*02:20 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
| 2,161 |
A*02:20 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
| 2,162 |
A*02:20 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
| 2,163 |
A*02:20 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
| 2,164 |
A*02:20 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
| 2,165 |
A*02:20 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
| 2,166 |
A*02:20 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
| 2,167 |
A*02:20 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
| 2,168 |
A*02:20 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
| 2,169 |
A*02:20 |  | Turkey pop 5 | | 0 |  | 142 | See |  |  | |
| 2,170 |
A*02:20 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 2,171 |
A*02:20 |  | USA Caucasian pop 4 | | 0 |  | 1,070 | See |  |  | |
| 2,172 |
A*02:20 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 2,173 |
A*02:20 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 2,174 |
A*02:20 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 2,175 |
A*02:20:01 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 2,176 |
A*02:20:01 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 2,177 |
A*02:20:01 |  | Libya Cyrenaica | | 0.0040 |  | 118 | See |  |  | |
| 2,178 |
A*02:20:01 |  | Mexico Guadalajara Mestizo pop 2 | | 0.0100 |  | 103 | See |  |  | |
| 2,179 |
A*02:20:01 |  | Mongolia Buryat | | 0.0040 |  | 141 | See |  |  | |
| 2,180 |
A*02:20:01 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 2,181 |
A*02:20:01 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 2,182 |
A*02:20:01 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 2,183 |
A*02:20:01 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 2,184 |
A*02:20:02 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 2,185 |
A*02:20:02 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 2,186 |
A*02:20:02 |  | Mexico Guadalajara Mestizo pop 2 | | 0.0050 |  | 103 | See |  |  | |
| 2,187 |
A*02:20:02 |  | Mongolia Buryat | | 0.0040 |  | 141 | See |  |  | |
| 2,188 |
A*02:20:02 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 2,189 |
A*02:20:02 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
| 2,190 |
A*02:20:02 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 2,191 |
A*02:21 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
| 2,192 |
A*02:21 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 2,193 |
A*02:21 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0020 |  | 618 | See |  |  | |
| 2,194 |
A*02:21 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 2,195 |
A*02:21 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 2,196 |
A*02:21 |  | Croatia | | 0 |  | 150 | See |  |  | |
| 2,197 |
A*02:21 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 2,198 |
A*02:21 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
| 2,199 |
A*02:21 |  | Mexico Guadalajara Mestizo pop 2 | | 0.0050 |  | 103 | See |  |  | |
| 2,200 |
A*02:21 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | 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 2,101 to 2,200
(from 64,837) records |
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