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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 |
| 1,201 |
A*02:04 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
| 1,202 |
A*02:04 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
| 1,203 |
A*02:04 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
| 1,204 |
A*02:04 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
| 1,205 |
A*02:04 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
| 1,206 |
A*02:04 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
| 1,207 |
A*02:04 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
| 1,208 |
A*02:04 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
| 1,209 |
A*02:04 |  | Tunisia | 0.0 | 0 |  | 100 | See |  |  | |
| 1,210 |
A*02:04 |  | Tunisia Gabes | | 0.0526 |  | 95 | See |  |  | |
| 1,211 |
A*02:04 |  | Turkey pop 5 | | 0 |  | 142 | See |  |  | |
| 1,212 |
A*02:04 |  | Uganda Kampala | | 0 |  | 161 | See |  |  | |
| 1,213 |
A*02:04 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
| 1,214 |
A*02:04 |  | USA Philadelphia Caucasian | 0.0 | 0 |  | 141 | See |  |  | |
| 1,215 |
A*02:04 |  | USA San Antonio Caucasian | | 0 |  | 222 | See |  |  | |
| 1,216 |
A*02:04 |  | USA South Texas Hispanic | | 0 |  | 194 | See |  |  | |
| 1,217 |
A*02:04 |  | Venezuela Sierra de Perija Yucpa | | 0.3140 |  | 73 | See |  |  | |
| 1,218 |
A*02:04 |  | Zambia Lusaka | | 0 |  | 44 | See |  |  | |
| 1,219 |
A*02:05 |  | Australia New South Wales Caucasian | | 0.0080 |  | 134 | See |  |  | |
| 1,220 |
A*02:05 |  | Australia Yuendumu Aborigine | | 0 |  | 191 | See |  |  | |
| 1,221 |
A*02:05 |  | Azores Central Islands | | 0.0090 |  | 59 | See |  |  | |
| 1,222 |
A*02:05 |  | Azores Oriental Islands | | 0.0130 |  | 43 | See |  |  | |
| 1,223 |
A*02:05 |  | Azores Terceira Island | | 0.0310 |  | 130 | See |  |  | |
| 1,224 |
A*02:05 |  | Belgium | 1.0 | 0.0050 |  | 99 | See |  |  | |
| 1,225 |
A*02:05 |  | Brazil Belo Horizonte Caucasian | 5.3 | 0.0260 |  | 95 | See |  |  | |
| 1,226 |
A*02:05 |  | Brazil Mixed | | 0.0150 |  | 108 | See |  |  | |
| 1,227 |
A*02:05 |  | Brazil Vale do Ribeira Quilombos | 0.0100 | 0 |  | 144 | See |  |  | |
| 1,228 |
A*02:05 |  | Bulgaria | | 0.0270 |  | 55 | See |  |  | |
| 1,229 |
A*02:05 |  | Burkina Faso Fulani | | 0.0920 |  | 49 | See |  |  | |
| 1,230 |
A*02:05 |  | Burkina Faso Rimaibe | | 0.0430 |  | 47 | See |  |  | |
| 1,231 |
A*02:05 |  | Cameroon Baka Pygmy | | 0.0500 |  | 10 | See |  |  | |
| 1,232 |
A*02:05 |  | Cameroon Bamileke | | 0.0260 |  | 77 | See |  |  | |
| 1,233 |
A*02:05 |  | Cameroon Beti | | 0.0110 |  | 174 | See |  |  | |
| 1,234 |
A*02:05 |  | Cameroon Sawa | | 0.0380 |  | 13 | See |  |  | |
| 1,235 |
A*02:05 |  | Cameroon Yaounde | | 0.0220 |  | 92 | See |  |  | |
| 1,236 |
A*02:05 |  | Cape Verde Northwestern Islands | | 0 |  | 62 | See |  |  | |
| 1,237 |
A*02:05 |  | Cape Verde Southeastern Islands | | 0.0080 |  | 62 | See |  |  | |
| 1,238 |
A*02:05 |  | China Beijing | | 0 |  | 67 | See |  |  | |
| 1,239 |
A*02:05 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0020 |  | 618 | See |  |  | |
| 1,240 |
A*02:05 |  | China Guangzhou | | 0.0050 |  | 102 | See |  |  | |
| 1,241 |
A*02:05 |  | China Inner Mongolia Region | | 0.0050 |  | 102 | See |  |  | |
| 1,242 |
A*02:05 |  | China Jiangsu Province Han | | 0.0035 |  | 334 | See |  |  | |
| 1,243 |
A*02:05 |  | China North Han | | 0.0140 |  | 105 | See |  |  | |
| 1,244 |
A*02:05 |  | China Qinghai Province Hui | | 0.0090 |  | 110 | See |  |  | |
| 1,245 |
A*02:05 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 1,246 |
A*02:05 |  | Croatia | | 0.0070 |  | 150 | See |  |  | |
| 1,247 |
A*02:05 |  | Czech Republic | | 0.0240 |  | 106 | See |  |  | |
| 1,248 |
A*02:05 |  | France Southeast | 3.1 | 0.0160 |  | 130 | See |  |  | |
| 1,249 |
A*02:05 |  | Georgia Svaneti Region Svan | | 0.0060 |  | 80 | See |  |  | |
| 1,250 |
A*02:05 |  | Georgia Tibilisi | | 0.0140 |  | 109 | See |  |  | |
| 1,251 |
A*02:05 |  | Georgia Tibilisi Kurd | | 0.0500 |  | 31 | See |  |  | |
| 1,252 |
A*02:05 |  | Ghana Ga-Adangbe | 2.3 | 0.0153 |  | 131 | See |  |  | |
| 1,253 |
A*02:05 |  | Greece pop 6 | | 0.0062 |  | 242 | See |  |  | |
| 1,254 |
A*02:05 |  | Guinea Bissau | | 0 |  | 65 | See |  |  | |
| 1,255 |
A*02:05 |  | Guinea Bissau Balanta | | 0.0100 |  | 48 | See |  |  | |
| 1,256 |
A*02:05 |  | Guinea Bissau Bijago | | 0.0220 |  | 23 | See |  |  | |
| 1,257 |
A*02:05 |  | Guinea Bissau Fula | | 0 |  | 31 | See |  |  | |
| 1,258 |
A*02:05 |  | Guinea Bissau Papel | | 0 |  | 25 | See |  |  | |
| 1,259 |
A*02:05 |  | India Delhi pop 2 | 2.2 | 0.0110 |  | 90 | See |  |  | |
| 1,260 |
A*02:05 |  | India New Delhi | | 0.0300 |  | 71 | See |  |  | |
| 1,261 |
A*02:05 |  | India North pop 2 | | 0.0100 |  | 72 | See |  |  | |
| 1,262 |
A*02:05 |  | Iran Baloch | | 0.0060 |  | 100 | See |  |  | |
| 1,263 |
A*02:05 |  | Israel Arab Druze | | 0.0400 |  | 101 | See |  |  | |
| 1,264 |
A*02:05 |  | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0430 |  | 146 | See |  |  | |
| 1,265 |
A*02:05 |  | Italy North pop 3 | 11.5 | 0.0580 |  | 97 | See |  |  | |
| 1,266 |
A*02:05 |  | Japan pop 16 | | 0.0000500 |  | 18,604 | See |  |  | |
| 1,267 |
A*02:05 |  | Kenya | | 0.0140 |  | 144 | See |  |  | |
| 1,268 |
A*02:05 |  | Kenya Luo | | 0.0260 |  | 265 | See |  |  | |
| 1,269 |
A*02:05 |  | Kenya Nandi | | 0.0870 |  | 240 | See |  |  | |
| 1,270 |
A*02:05 |  | Madeira | | 0.0220 |  | 185 | See |  |  | |
| 1,271 |
A*02:05 |  | Mali Bandiagara | | 0.0220 |  | 138 | See |  |  | |
| 1,272 |
A*02:05 |  | Mexico Mestizo | 0.0 | 0 |  | 41 | See |  |  | |
| 1,273 |
A*02:05 |  | Mexico Mexico City Mestizo pop 2 | | 0.0171 |  | 234 | See |  |  | |
| 1,274 |
A*02:05 |  | Mexico Oaxaca Mixtec | | 0.0100 |  | 103 | See |  |  | |
| 1,275 |
A*02:05 |  | Mexico Oaxaca Zapotec | | 0 |  | 90 | See |  |  | |
| 1,276 |
A*02:05 |  | Mongolia Buryat | | 0.0320 |  | 141 | See |  |  | |
| 1,277 |
A*02:05 |  | Morocco Atlantic Coast Chaouya | | 0.0140 |  | 98 | See |  |  | |
| 1,278 |
A*02:05 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
| 1,279 |
A*02:05 |  | Morocco Settat Chaouya | 2.8 | 0.0140 |  | 98 | See |  |  | |
| 1,280 |
A*02:05 |  | Pakistan Baloch | | 0 |  | 66 | See |  |  | |
| 1,281 |
A*02:05 |  | Pakistan Brahui | | 0.0060 |  | 104 | See |  |  | |
| 1,282 |
A*02:05 |  | Pakistan Karachi Parsi | | 0.0060 |  | 91 | See |  |  | |
| 1,283 |
A*02:05 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
| 1,284 |
A*02:05 |  | Poland | | 0.0100 |  | 200 | See |  |  | |
| 1,285 |
A*02:05 |  | Portugal Center | | 0.0100 |  | 50 | See |  |  | |
| 1,286 |
A*02:05 |  | Portugal North | | 0.0110 |  | 46 | See |  |  | |
| 1,287 |
A*02:05 |  | Portugal South | | 0.0100 |  | 49 | See |  |  | |
| 1,288 |
A*02:05 |  | Romania | 0.3 | 0.0010 |  | 348 | See |  |  | |
| 1,289 |
A*02:05 |  | Russia Tuva pop 2 | | 0.0080 |  | 169 | See |  |  | |
| 1,290 |
A*02:05 |  | Sao Tome Island Angolar | | 0.0160 |  | 32 | See |  |  | |
| 1,291 |
A*02:05 |  | Sao Tome Island Forro | | 0.0380 |  | 66 | See |  |  | |
| 1,292 |
A*02:05 |  | Saudi Arabia Guraiat and Hail | 12.2 | 0.0610 |  | 213 | See |  |  | |
| 1,293 |
A*02:05 |  | Senegal Niokholo Mandenka | | 0.0110 |  | 165 | See |  |  | |
| 1,294 |
A*02:05 |  | South Africa Caucasians | | 0.0050 |  | 102 | See |  |  | |
| 1,295 |
A*02:05 |  | South Africa Natal Zulu | 11.0 | 0.0550 |  | 100 | See |  |  | |
| 1,296 |
A*02:05 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
| 1,297 |
A*02:05 |  | Sudan Central Shaigiya Mixed | 38.8 | 0.2177 |  | 36 | See |  |  | |
| 1,298 |
A*02:05 |  | Sudan East Rashaida | 22.2 | 0.1179 |  | 27 | See |  |  | |
| 1,299 |
A*02:05 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
| 1,300 |
A*02:05 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | 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 1,201 to 1,300
(from 64,837) records |
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