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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 |
1,101 |
A*02:03 |  | Malaysia Sarawak Bau Bidayuh | | 0.0200 |  | 25 | See |  |  | |
1,102 |
A*02:03 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
1,103 |
A*02:03 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
1,104 |
A*02:03 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
1,105 |
A*02:03 |  | Pakistan Baloch | | 0.0080 |  | 66 | See |  |  | |
1,106 |
A*02:03 |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
1,107 |
A*02:03 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
1,108 |
A*02:03 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
1,109 |
A*02:03 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
1,110 |
A*02:03 |  | Russia Tuva pop 2 | | 0.0030 |  | 169 | See |  |  | |
1,111 |
A*02:03 |  | Scotland Orkney | 0.0 | 0 |  | 99 | See |  |  | |
1,112 |
A*02:03 |  | Singapore Chinese Han | | 0.0990 |  | 94 | See |  |  | |
1,113 |
A*02:03 |  | Singapore Javaneses | | 0.0900 |  | 51 | See |  |  | |
1,114 |
A*02:03 |  | Singapore Riau Malay | | 0.0520 |  | 132 | See |  |  | |
1,115 |
A*02:03 |  | Singapore Thai | | 0.1330 |  | 100 | See |  |  | |
1,116 |
A*02:03 |  | South Africa Natal Tamil | | 0.0100 |  | 51 | See |  |  | |
1,117 |
A*02:03 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
1,118 |
A*02:03 |  | South Korea pop 3 | | 0.0050 |  | 485 | See |  |  | |
1,119 |
A*02:03 |  | Sri Lanka Colombo Sinhalese | | 0.0240 |  | 101 | See |  |  | |
1,120 |
A*02:03 |  | Sudan Central Shaigiya Mixed | 2.7 | 0.0135 |  | 36 | See |  |  | |
1,121 |
A*02:03 |  | Sudan East Rashaida | 3.7 | 0.0186 |  | 27 | See |  |  | |
1,122 |
A*02:03 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
1,123 |
A*02:03 |  | Taiwan Atayal | 0.9 | 0.0050 |  | 106 | See |  |  | |
1,124 |
A*02:03 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
1,125 |
A*02:03 |  | Taiwan Hakka | 5.5 | 0.0360 |  | 55 | See |  |  | |
1,126 |
A*02:03 |  | Taiwan Minnan pop 1 | 12.7 | 0.0640 |  | 102 | See |  |  | |
1,127 |
A*02:03 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
1,128 |
A*02:03 |  | Taiwan Pazeh | 9.1 | 0.0450 |  | 55 | See |  |  | |
1,129 |
A*02:03 |  | Taiwan Puyuma | 12.0 | 0.0600 |  | 50 | See |  |  | |
1,130 |
A*02:03 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
1,131 |
A*02:03 |  | Taiwan Saisiat | 2.0 | 0.0100 |  | 51 | See |  |  | |
1,132 |
A*02:03 |  | Taiwan Siraya | 11.8 | 0.0590 |  | 51 | See |  |  | |
1,133 |
A*02:03 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
1,134 |
A*02:03 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
1,135 |
A*02:03 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
1,136 |
A*02:03 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
1,137 |
A*02:03 |  | Thailand Northeast | | 0.1220 |  | 66 | See |  |  | |
1,138 |
A*02:03 |  | Thailand Northeast pop 2 | | 0.1060 |  | 400 | See |  |  | |
1,139 |
A*02:03 |  | Tunisia | 0.0 | 0 |  | 100 | See |  |  | |
1,140 |
A*02:03 |  | Turkey pop 5 | | 0 |  | 142 | See |  |  | |
1,141 |
A*02:03 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
1,142 |
A*02:03 |  | USA Caucasian pop 4 | | 0.0009 |  | 1,070 | See |  |  | |
1,143 |
A*02:03 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
1,144 |
A*02:03 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
1,145 |
A*02:03 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
1,146 |
A*02:03 |  | Vietnam Hanoi Kinh pop 2 | | 0.0790 |  | 170 | See |  |  | |
1,147 |
A*02:03:01 |  | China Guizhou Province Bouyei | | 0.1030 |  | 109 | See |  |  | |
1,148 |
A*02:03:01 |  | China Guizhou Province Miao pop 2 | | 0.1240 |  | 85 | See |  |  | |
1,149 |
A*02:03:01 |  | China Guizhou Province Shui | | 0.1120 |  | 153 | See |  |  | |
1,150 |
A*02:03:01 |  | China Inner Mongolia Region | | 0.0050 |  | 102 | See |  |  | |
1,151 |
A*02:03:01 |  | China Jingpo Minority | 17.5 | 0.0971 |  | 105 | See |  |  |
|
1,152 |
A*02:03:01 |  | China Qinghai Province Hui | | 0.0230 |  | 110 | See |  |  | |
1,153 |
A*02:03:01 |  | China Yunnan Province Jinuo | | 0.0780 |  | 109 | See |  |  | |
1,154 |
A*02:03:01 |  | China Yunnan Province Lisu | | 0.1520 |  | 111 | See |  |  | |
1,155 |
A*02:03:01 |  | China Yunnan Province Nu | | 0.0820 |  | 107 | See |  |  | |
1,156 |
A*02:03:01 |  | China Yunnan Province Wa | | 0.0550 |  | 119 | See |  |  | |
1,157 |
A*02:03:01 |  | Indonesia Java pop 2 | | 0.0690 |  | 36 | See |  |  | |
1,158 |
A*02:03:01 |  | Indonesia Sundanese and Javanese | | 0.0370 |  | 201 | See |  |  | |
1,159 |
A*02:03:01 |  | Vietnam Kinh | 15.0 | 0.0743 |  | 101 | See |  |  |
|
1,160 |
A*02:03:02 |  | China North Han | | 0 |  | 105 | See |  |  | |
1,161 |
A*02:03:02 |  | Vietnam Kinh | 1.0 | 0.0050 |  | 101 | See |  |  |
|
1,162 |
A*02:04 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
1,163 |
A*02:04 |  | Brazil Mixed | | 0.0050 |  | 108 | See |  |  | |
1,164 |
A*02:04 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
1,165 |
A*02:04 |  | Cameroon Yaounde | | 0.0060 |  | 92 | See |  |  | |
1,166 |
A*02:04 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0040 |  | 618 | See |  |  | |
1,167 |
A*02:04 |  | China North Han | | 0 |  | 105 | See |  |  | |
1,168 |
A*02:04 |  | China Tibet Region Tibetan | | 0.0030 |  | 158 | See |  |  | |
1,169 |
A*02:04 |  | Colombia North Chimila Amerindians | | 0.0425 |  | 47 | See |  |  |
|
1,170 |
A*02:04 |  | Croatia | | 0 |  | 150 | See |  |  | |
1,171 |
A*02:04 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
1,172 |
A*02:04 |  | Georgia Svaneti Region Svan | | 0.0190 |  | 80 | See |  |  | |
1,173 |
A*02:04 |  | Iran Baloch | | 0.0060 |  | 100 | See |  |  | |
1,174 |
A*02:04 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
1,175 |
A*02:04 |  | Japan Okinawa Ryukyuan | | 0.0140 |  | 143 | See |  |  | |
1,176 |
A*02:04 |  | Kenya | | 0.0070 |  | 144 | See |  |  | |
1,177 |
A*02:04 |  | Kenya Luo | | 0 |  | 265 | See |  |  | |
1,178 |
A*02:04 |  | Kenya Nandi | | 0 |  | 240 | See |  |  | |
1,179 |
A*02:04 |  | Mali Bandiagara | | 0 |  | 138 | See |  |  | |
1,180 |
A*02:04 |  | Mexico Guadalajara Mestizo pop 2 | | 0.0050 |  | 103 | See |  |  | |
1,181 |
A*02:04 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
1,182 |
A*02:04 |  | Mongolia Buryat | | 0.0040 |  | 141 | See |  |  | |
1,183 |
A*02:04 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
1,184 |
A*02:04 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
1,185 |
A*02:04 |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
1,186 |
A*02:04 |  | Pakistan Brahui | | 0 |  | 104 | See |  |  | |
1,187 |
A*02:04 |  | Pakistan Karachi Parsi | | 0 |  | 91 | See |  |  | |
1,188 |
A*02:04 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
1,189 |
A*02:04 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
1,190 |
A*02:04 |  | Scotland Orkney | 0.0 | 0 |  | 99 | See |  |  | |
1,191 |
A*02:04 |  | South Africa Natal Zulu | 0.0 | 0 |  | 100 | See |  |  | |
1,192 |
A*02:04 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
1,193 |
A*02:04 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
1,194 |
A*02:04 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
1,195 |
A*02:04 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
1,196 |
A*02:04 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
1,197 |
A*02:04 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
1,198 |
A*02:04 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
1,199 |
A*02:04 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
1,200 |
A*02:04 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | 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 1,101 to 1,200
(from 64,836) records |
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