Please specify your search by selecting options from boxes. Then, click "Search" to find HLA allele frequencies
that match your criteria. Remember at least one option must be selected.
| 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 |  | Albania pop 2 | 56.3 | 0.3275 |  | 432 | See |  |  | |
| 1,302 |
A*02 |  | Albanian Kosovo | | 0.3250 |  | 120 | See |  |  | |
| 1,303 |
A*02 |  | Algeria pop 2 | 43.0 | 0.2450 |  | 106 | See |  |  | |
| 1,304 |
A*02 |  | Argentina Buenos Aires | 45.1 | 0.2600 |  | 466 | See |  |  | |
| 1,305 |
A*02 |  | Argentina Buenos Aires pop 2 | 47.2 | 0.2580 |  | 1,216 | See |  |  | |
| 1,306 |
A*02 |  | Argentina Chiriguano | 45.3 | 0.2640 |  | 54 | See |  |  | |
| 1,307 |
A*02 |  | Argentina Corrientes | 44.5 | 0.2640 |  | 155 | See |  |  | |
| 1,308 |
A*02 |  | Argentina Cuyo Region | 43.2 | 0.2470 |  | 420 | See |  |  | |
| 1,309 |
A*02 |  | Argentina La Plata | 47.0 | 0.2700 |  | 100 | See |  |  | |
| 1,310 |
A*02 |  | Argentina Rosario Toba | 45.3 | 0.2850 |  | 86 | See |  |  | |
| 1,311 |
A*02 |  | Argentina Salta Wichi pop 2 | 47.4 | 0.2890 |  | 19 | See |  |  | |
| 1,312 |
A*02 |  | Armenia Ghegharkunik | | 0.1880 |  | 242 | See |  |  | |
| 1,313 |
A*02 |  | Armenia living in Iran | | 0.1880 |  | 85 | See |  |  | |
| 1,314 |
A*02 |  | Armenia living in Karabakh | | 0.1930 |  | 445 | See |  |  | |
| 1,315 |
A*02 |  | Armenia living in Lebanon | | 0.1850 |  | 368 | See |  |  | |
| 1,316 |
A*02 |  | Armenia living in USA | | 0.2000 |  | 233 | See |  |  | |
| 1,317 |
A*02 |  | Armenia Lori | | 0.1670 |  | 102 | See |  |  | |
| 1,318 |
A*02 |  | Armenia Shirak | | 0.2500 |  | 76 | See |  |  | |
| 1,319 |
A*02 |  | Armenia Syunik | | 0.1880 |  | 117 | See |  |  | |
| 1,320 |
A*02 |  | Armenia Yerevan | | 0.1800 |  | 445 | See |  |  | |
| 1,321 |
A*02 |  | Australia West Caucasian | 46.5 | 0.2680 |  | 891 | See |  |  | |
| 1,322 |
A*02 |  | Austria | 49.5 | 0.3120 |  | 200 | See |  |  | |
| 1,323 |
A*02 |  | Azerbaijan | 37.7 | 0.2132 |  | 2,301 | See |  |  | |
| 1,324 |
A*02 |  | Azores | | 0.2720 |  | 1,050 | See |  |  | |
| 1,325 |
A*02 |  | Azores Terceira Island | | 0.3030 |  | 130 | See |  |  | |
| 1,326 |
A*02 |  | Bangladesh Dhaka Bangalee | | 0.1450 |  | 141 | See |  |  | |
| 1,327 |
A*02 |  | Bolivia La Paz Aymaras | | 0.6030 |  | 87 | See |  |  |
|
| 1,328 |
A*02 |  | Bolivia Quechua | | 0.5072 |  | 69 | See |  |  |
|
| 1,329 |
A*02 |  | Bosnia and Herzegovina | | 0.3470 |  | 134 | See |  |  | |
| 1,330 |
A*02 |  | Bosnia and Herzegovina pop 2 | 61.7 | 0.3750 |  | 120 | See |  |  | |
| 1,331 |
A*02 |  | Brazil Paraná Caucasian | 47.7 | 0.2785 |  | 641 | See |  |  |
|
| 1,332 |
A*02 |  | Brazil Curitiba-Parana Mixed | | 0.2418 |  | 264 | See |  |  | |
| 1,333 |
A*02 |  | Brazil Minas Gerais State Mixed | 41.6 | 0.2360 |  | 1,000 | See |  |  | |
| 1,334 |
A*02 |  | Brazil Para State | 42.8 | 0.2380 |  | 5,000 | See |  |  |
|
| 1,335 |
A*02 |  | Brazil Parana Afro Brazilian | 32.5 | 0.1620 |  | 77 | See |  |  | |
| 1,336 |
A*02 |  | Brazil Parana Cafuzo | 40.4 | 0.2020 |  | 319 | See |  |  | |
| 1,337 |
A*02 |  | Brazil Parana Caucasian | 46.5 | 0.2320 |  | 2,775 | See |  |  | |
| 1,338 |
A*02 |  | Brazil Parana Japanese | 47.0 | 0.2708 |  | 192 | See |  |  |
|
| 1,339 |
A*02 |  | Brazil Parana Mixed race | 45.7 | 0.2280 |  | 186 | See |  |  | |
| 1,340 |
A*02 |  | Brazil Parana Oriental | 36.4 | 0.1820 |  | 33 | See |  |  | |
| 1,341 |
A*02 |  | Brazil Pernambuco Mixed | | 0.2870 |  | 101 | See |  |  | |
| 1,342 |
A*02 |  | Brazil Piaui Mixed | | 0.2550 |  | 21,943 | See |  |  | |
| 1,343 |
A*02 |  | Brazil REDOME Acre | | 0.2340 |  | 859 | See |  |  | |
| 1,344 |
A*02 |  | Brazil REDOME Alagoas | | 0.2505 |  | 25,349 | See |  |  | |
| 1,345 |
A*02 |  | Brazil REDOME Amapa | | 0.2550 |  | 17,864 | See |  |  | |
| 1,346 |
A*02 |  | Brazil REDOME Amazonas | | 0.2700 |  | 24,129 | See |  |  | |
| 1,347 |
A*02 |  | Brazil REDOME Bahia | | 0.2367 |  | 47,399 | See |  |  | |
| 1,348 |
A*02 |  | Brazil REDOME Ceara | | 0.2595 |  | 101,217 | See |  |  | |
| 1,349 |
A*02 |  | Brazil REDOME Espirito Santo | | 0.2535 |  | 88,485 | See |  |  | |
| 1,350 |
A*02 |  | Brazil REDOME Federal District | | 0.2604 |  | 29,549 | See |  |  | |
| 1,351 |
A*02 |  | Brazil REDOME Goias | | 0.2616 |  | 88,574 | See |  |  | |
| 1,352 |
A*02 |  | Brazil REDOME Maranhao | | 0.2526 |  | 10,180 | See |  |  | |
| 1,353 |
A*02 |  | Brazil REDOME Mato Grosso | | 0.2560 |  | 34,649 | See |  |  | |
| 1,354 |
A*02 |  | Brazil REDOME Mato Grosso do Sul | | 0.2533 |  | 95,667 | See |  |  | |
| 1,355 |
A*02 |  | Brazil REDOME Minas Gerais | | 0.2589 |  | 211,275 | See |  |  | |
| 1,356 |
A*02 |  | Brazil REDOME Para | | 0.2576 |  | 72,637 | See |  |  | |
| 1,357 |
A*02 |  | Brazil REDOME Paraiba | | 0.2562 |  | 43,868 | See |  |  | |
| 1,358 |
A*02 |  | Brazil REDOME Parana | | 0.2666 |  | 341,639 | See |  |  | |
| 1,359 |
A*02 |  | Brazil REDOME Pernambuco | | 0.2497 |  | 92,332 | See |  |  | |
| 1,360 |
A*02 |  | Brazil REDOME Piaui | | 0.2563 |  | 46,140 | See |  |  | |
| 1,361 |
A*02 |  | Brazil REDOME Rio de Janeiro | | 0.2482 |  | 139,322 | See |  |  | |
| 1,362 |
A*02 |  | Brazil REDOME Rio Grande do Norte | | 0.2546 |  | 46,603 | See |  |  | |
| 1,363 |
A*02 |  | Brazil REDOME Rio Grande do Sul | | 0.2745 |  | 241,329 | See |  |  | |
| 1,364 |
A*02 |  | Brazil REDOME Rondonia | | 0.2548 |  | 54,396 | See |  |  | |
| 1,365 |
A*02 |  | Brazil REDOME Roraima | | 0.2750 |  | 4,140 | See |  |  | |
| 1,366 |
A*02 |  | Brazil REDOME Santa Catarina | | 0.2804 |  | 106,673 | See |  |  | |
| 1,367 |
A*02 |  | Brazil REDOME Sao Paulo | | 0.2563 |  | 800,809 | See |  |  | |
| 1,368 |
A*02 |  | Brazil REDOME Sergipe | | 0.2471 |  | 7,321 | See |  |  | |
| 1,369 |
A*02 |  | Brazil REDOME Tocantins | | 0.2551 |  | 20,692 | See |  |  | |
| 1,370 |
A*02 |  | Brazil Rio Grande do Norte Mestizo | | 0.2540 |  | 12,973 | See |  |  | |
| 1,371 |
A*02 |  | Brazil Rio Grande do Sul Black | | 0.2230 |  | 248 | See |  |  | |
| 1,372 |
A*02 |  | Brazil Rio Grande do Sul Caucasoid | | 0.2820 |  | 4,428 | See |  |  | |
| 1,373 |
A*02 |  | Brazil Rio Grande do Sul Mixed | | 0.2600 |  | 324 | See |  |  | |
| 1,374 |
A*02 |  | Brazil Sao Paulo Bauru Mixed | | 0.2630 |  | 3,542 | See |  |  | |
| 1,375 |
A*02 |  | Brazil Sao Paulo Mixed | 47.0 | 0.2720 |  | 239 | See |  |  | |
| 1,376 |
A*02 |  | Brazil South East Cord Blood | | 0.2539 |  | 11,409 | See |  |  |
|
| 1,377 |
A*02 |  | Brazil South Ribeirao Preto | | 0.2170 |  | 184 | See |  |  | |
| 1,378 |
A*02 |  | Burkina Faso Mossi | | 0.2070 |  | 53 | See |  |  | |
| 1,379 |
A*02 |  | Cameroon Bakola Pygmy | 50.0 | 0.2928 |  | 50 | See |  |  | |
| 1,380 |
A*02 |  | Cameroon Bamileke 2 | | 0.0860 |  | 35 | See |  |  | |
| 1,381 |
A*02 |  | Cameroon Ewondo | | 0.1840 |  | 38 | See |  |  | |
| 1,382 |
A*02 |  | Cameroon Podokwo | | 0.2330 |  | 43 | See |  |  | |
| 1,383 |
A*02 |  | Cameroon Uldeme | | 0.3140 |  | 35 | See |  |  | |
| 1,384 |
A*02 |  | Central African Republic Mbenzele Pygmy | 37.0 | 0.2062 |  | 36 | See |  |  | |
| 1,385 |
A*02 |  | Chile Santiago | | 0.2663 |  | 920 | See |  |  |
|
| 1,386 |
A*02 |  | China Guangdong Province | 51.4 | 0.3028 |  | 403 | See |  |  | |
| 1,387 |
A*02 |  | China Harbin Korean | | 0.3070 |  | 201 | See |  |  | |
| 1,388 |
A*02 |  | China Harbin Manchu | | 0.3460 |  | 172 | See |  |  | |
| 1,389 |
A*02 |  | China Jiangsu Province | | 0.2960 |  | 20,248 | See |  |  | |
| 1,390 |
A*02 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 1,391 |
A*02 |  | China Shaanxi Province Han | | 0.2970 |  | 10,000 | See |  |  | |
| 1,392 |
A*02 |  | China Shandong Province | 49.4 | 0.2880 |  | 7,418 | See |  |  | |
| 1,393 |
A*02 |  | China Shandong Province Linqu County | 61.2 | 0.3771 |  | 139 | See |  |  | |
| 1,394 |
A*02 |  | China Shanghai | | 0.3130 |  | 26,266 | See |  |  | |
| 1,395 |
A*02 |  | China Wuhan | 52.9 | 0.3100 |  | 121 | See |  |  | |
| 1,396 |
A*02 |  | China Yunnan Province Han pop 2 | | 0.1930 |  | 129 | See |  |  | |
| 1,397 |
A*02 |  | China Yunnan Province Naxi | | 0.2780 |  | 118 | See |  |  | |
| 1,398 |
A*02 |  | Colombia Barranquilla | | 0.2260 |  | 188 | See |  |  |
|
| 1,399 |
A*02 |  | Colombia Jaidukama | | 0.3080 |  | 39 | See |  |  |
|
| 1,400 |
A*02 |  | Colombia San Basilio de Palenque | | 0.3100 |  | 42 | 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 162,565) records |
|
Pages: |
|
|
11 12 13 14 15 16 17 18 19 20 of 1,626
|
|
 |
|
 |
 |
 |