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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 |
1,301 |
A*02:05 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
1,302 |
A*02:05 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
1,303 |
A*02:05 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
1,304 |
A*02:05 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
1,305 |
A*02:05 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
1,306 |
A*02:05 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
1,307 |
A*02:05 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
1,308 |
A*02:05 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
1,309 |
A*02:05 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
1,310 |
A*02:05 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
1,311 |
A*02:05 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
1,312 |
A*02:05 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
1,313 |
A*02:05 |  | Thailand Northeast | | 0.0040 |  | 66 | See |  |  | |
1,314 |
A*02:05 |  | Thailand Northeast pop 2 | | 0.0020 |  | 400 | See |  |  | |
1,315 |
A*02:05 |  | Tunisia | 5.0 | 0.0250 |  | 100 | See |  |  | |
1,316 |
A*02:05 |  | Turkey pop 5 | | 0.0350 |  | 142 | See |  |  | |
1,317 |
A*02:05 |  | Uganda Kampala | | 0.0220 |  | 161 | See |  |  | |
1,318 |
A*02:05 |  | Uganda Kampala pop 2 | | 0.0140 |  | 175 | See |  |  | |
1,319 |
A*02:05 |  | USA Alaska Yupik | | 0 |  | 252 | See |  |  | |
1,320 |
A*02:05 |  | USA Caucasian pop 4 | | 0.0075 |  | 1,070 | See |  |  | |
1,321 |
A*02:05 |  | USA Philadelphia Caucasian | 3.7 | 0.0190 |  | 141 | See |  |  | |
1,322 |
A*02:05 |  | USA San Antonio Caucasian | | 0.0120 |  | 222 | See |  |  | |
1,323 |
A*02:05 |  | USA South Texas Hispanic | | 0.0080 |  | 194 | See |  |  | |
1,324 |
A*02:05 |  | Zambia Lusaka | | 0 |  | 44 | See |  |  | |
1,325 |
A*02:05 |  | Zimbabwe Harare Shona | | 0.0310 |  | 230 | See |  |  | |
1,326 |
A*02:05:01 |  | Costa Rica African -Caribbean (G) | 2.0 (*) | 0.0100 (*) |  | 102 | See |  |  |
|
1,327 |
A*02:05:01 |  | Costa Rica Amerindians (G) | 0.8 (*) | 0.0040 (*) |  | 125 | See |  |  |
|
1,328 |
A*02:05:01 |  | Costa Rica Central Valley Mestizo (G) | 1.4 (*) | 0.0070 (*) |  | 221 | See |  |  |
|
1,329 |
A*02:05:01 |  | Costa Rica Guanacaste Mestizo (G) | 5.4 (*) | 0.0270 (*) |  | 110 | See |  |  |
|
1,330 |
A*02:05:01 |  | Libya Cyrenaica | | 0.0510 |  | 118 | See |  |  | |
1,331 |
A*02:05:01 |  | Nicaragua Mestizo (G) | 2.6 (*) | 0.0130 (*) |  | 155 | See |  |  |
|
1,332 |
A*02:05:01 |  | Saudi Arabia pop 5 | 6.3 | 0.0380 |  | 158 | See |  |  | |
1,333 |
A*02:05:01 |  | Spain, Canary Islands, Gran canaria island | 1.4 | 0.0069 |  | 215 | See |  |  |
|
1,334 |
A*02:05:03 |  | Saudi Arabia pop 5 | 0.6 | 0.0032 |  | 158 | See |  |  | |
1,335 |
A*02:06 |  | American Samoa | | 0.1300 |  | 51 | See |  |  | |
1,336 |
A*02:06 |  | Australia New South Wales Caucasian | | 0 |  | 134 | See |  |  | |
1,337 |
A*02:06 |  | Australia Yuendumu Aborigine | | 0 |  | 191 | See |  |  | |
1,338 |
A*02:06 |  | Azores Terceira Island | | 0.0040 |  | 130 | See |  |  | |
1,339 |
A*02:06 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
1,340 |
A*02:06 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
1,341 |
A*02:06 |  | China Beijing | | 0.0480 |  | 67 | See |  |  | |
1,342 |
A*02:06 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0470 |  | 618 | See |  |  | |
1,343 |
A*02:06 |  | China Canton Han | | 0.0380 |  | 264 | See |  |  | |
1,344 |
A*02:06 |  | China Guangxi Region Maonan | | 0.0460 |  | 108 | See |  |  | |
1,345 |
A*02:06 |  | China Guangzhou | | 0.0400 |  | 102 | See |  |  | |
1,346 |
A*02:06 |  | China Jiangsu Province Han | | 0.0436 |  | 334 | See |  |  | |
1,347 |
A*02:06 |  | China North Han | | 0.0710 |  | 105 | See |  |  | |
1,348 |
A*02:06 |  | China South Han | | 0.0350 |  | 284 | See |  |  | |
1,349 |
A*02:06 |  | China Southwest Dai | | 0.0080 |  | 124 | See |  |  | |
1,350 |
A*02:06 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
1,351 |
A*02:06 |  | China Yunnan Hani | | 0.0130 |  | 150 | See |  |  | |
1,352 |
A*02:06 |  | China Yunnan Province Han | | 0.0590 |  | 101 | See |  |  | |
1,353 |
A*02:06 |  | Croatia | | 0.0030 |  | 150 | See |  |  | |
1,354 |
A*02:06 |  | Czech Republic | | 0.0050 |  | 106 | See |  |  | |
1,355 |
A*02:06 |  | Ghana Ga-Adangbe | 0.8 | 0.0038 |  | 131 | See |  |  | |
1,356 |
A*02:06 |  | Guinea Bissau Balanta | | 0 |  | 48 | See |  |  | |
1,357 |
A*02:06 |  | Guinea Bissau Bijago | | 0.0220 |  | 23 | See |  |  | |
1,358 |
A*02:06 |  | Guinea Bissau Fula | | 0 |  | 31 | See |  |  | |
1,359 |
A*02:06 |  | Guinea Bissau Papel | | 0 |  | 25 | See |  |  | |
1,360 |
A*02:06 |  | India Andhra Pradesh Golla | | 0.0280 |  | 111 | See |  |  | |
1,361 |
A*02:06 |  | India Delhi pop 2 | 14.4 | 0.0770 |  | 90 | See |  |  | |
1,362 |
A*02:06 |  | India New Delhi | | 0.0300 |  | 71 | See |  |  | |
1,363 |
A*02:06 |  | India North pop 2 | | 0.0290 |  | 72 | See |  |  | |
1,364 |
A*02:06 |  | Iran Baloch | | 0.0110 |  | 100 | See |  |  | |
1,365 |
A*02:06 |  | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0040 |  | 146 | See |  |  | |
1,366 |
A*02:06 |  | Italy North pop 3 | 0.0 | 0 |  | 97 | See |  |  | |
1,367 |
A*02:06 |  | Japan Central | | 0.0770 |  | 371 | See |  |  | |
1,368 |
A*02:06 |  | Japan Hokkaido Ainu | | 0.2000 |  | 50 | See |  |  | |
1,369 |
A*02:06 |  | Japan Okinawa Ryukyuan | | 0.1830 |  | 143 | See |  |  | |
1,370 |
A*02:06 |  | Japan pop 16 | | 0.0908 |  | 18,604 | See |  |  | |
1,371 |
A*02:06 |  | Japan pop 3 | | 0.0870 |  | 1,018 | See |  |  | |
1,372 |
A*02:06 |  | Japan pop 5 | | 0.0840 |  | 117 | See |  |  | |
1,373 |
A*02:06 |  | Kenya Luo | | 0 |  | 265 | See |  |  | |
1,374 |
A*02:06 |  | Kenya Nandi | | 0 |  | 240 | See |  |  | |
1,375 |
A*02:06 |  | Malaysia Champa | 6.9 | 0.0340 |  | 29 | See |  |  |
|
1,376 |
A*02:06 |  | Malaysia Mandailing | 3.7 | 0.0190 |  | 27 | See |  |  |
|
1,377 |
A*02:06 |  | Malaysia Pahang Semai | 2.6 | 0.0130 |  | 38 | See |  |  |
|
1,378 |
A*02:06 |  | Malaysia Patani | 4.0 | 0.0200 |  | 25 | See |  |  |
|
1,379 |
A*02:06 |  | Malaysia Perak Grik Jehai | | 0.0200 |  | 25 | See |  |  | |
1,380 |
A*02:06 |  | Mali Bandiagara | | 0 |  | 138 | See |  |  | |
1,381 |
A*02:06 |  | Mexico Chiapas Lacandon Mayans | | 0.1399 |  | 218 | See |  |  |
|
1,382 |
A*02:06 |  | Mexico Chichen Itza Maya (prehispanic) | | 0.0638 |  | 47 | See |  |  |
|
1,383 |
A*02:06 |  | Mexico Chihuahua Tarahumara | | 0.1250 |  | 44 | See |  |  | |
1,384 |
A*02:06 |  | Mexico Mestizo | 12.2 | 0.0610 |  | 41 | See |  |  | |
1,385 |
A*02:06 |  | Mexico Mexico City Mestizo pop 2 | | 0.0962 |  | 234 | See |  |  | |
1,386 |
A*02:06 |  | Mexico Mixtec | | 0.1650 |  | 97 | See |  |  | |
1,387 |
A*02:06 |  | Mexico Oaxaca Jamiltepec Mixtec | | 0.1670 |  | 96 | See |  |  |
|
1,388 |
A*02:06 |  | Mexico Oaxaca Mixe | | 0.3490 |  | 55 | See |  |  | |
1,389 |
A*02:06 |  | Mexico Oaxaca Mixtec | | 0.2160 |  | 103 | See |  |  | |
1,390 |
A*02:06 |  | Mexico Oaxaca Zapotec | | 0.2610 |  | 90 | See |  |  | |
1,391 |
A*02:06 |  | Mexico Tixcacaltuyub Maya | | 0.0224 |  | 67 | See |  |  |
|
1,392 |
A*02:06 |  | Mongolia Buryat | | 0.0430 |  | 141 | See |  |  | |
1,393 |
A*02:06 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
1,394 |
A*02:06 |  | Morocco Settat Chaouya | 0.0 | 0 |  | 98 | See |  |  | |
1,395 |
A*02:06 |  | New Caledonia | | 0 |  | 65 | See |  |  | |
1,396 |
A*02:06 |  | Pakistan Baloch | | 0.0160 |  | 66 | See |  |  | |
1,397 |
A*02:06 |  | Pakistan Brahui | | 0.0230 |  | 104 | See |  |  | |
1,398 |
A*02:06 |  | Pakistan Karachi Parsi | | 0.0110 |  | 91 | See |  |  | |
1,399 |
A*02:06 |  | Papua New Guinea East New Britain Rabaul | | 0 |  | 60 | See |  |  | |
1,400 |
A*02:06 |  | Papua New Guinea Eastern Highlands Goroka Asaro | | 0.0260 |  | 57 | 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 1,301 to 1,400
(from 64,836) records |
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