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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 |
22,701 |
A*33 | | Brazil Parana Cafuzo | 5.3 | 0.0270 | | 319 | See | | | |
22,702 |
A*33 | | Brazil Parana Caucasian | 4.0 | 0.0200 | | 2,775 | See | | | |
22,703 |
A*33 | | Brazil Parana Japanese | 13.0 | 0.0650 | | 192 | See | | |
|
22,704 |
A*33 | | Brazil Parana Mixed race | 11.3 | 0.0560 | | 186 | See | | | |
22,705 |
A*33 | | Brazil Parana Oriental | 18.2 | 0.0910 | | 33 | See | | | |
22,706 |
A*33 | | Brazil Pernambuco Mixed | | 0.0350 | | 101 | See | | | |
22,707 |
A*33 | | Brazil Piaui Mixed | | 0.0320 | | 21,943 | See | | | |
22,708 |
A*33 | | Brazil REDOME Acre | | 0.0297 | | 859 | See | | | |
22,709 |
A*33 | | Brazil REDOME Alagoas | | 0.0319 | | 25,349 | See | | | |
22,710 |
A*33 | | Brazil REDOME Amapa | | 0.0271 | | 17,864 | See | | | |
22,711 |
A*33 | | Brazil REDOME Amazonas | | 0.0249 | | 24,129 | See | | | |
22,712 |
A*33 | | Brazil REDOME Bahia | | 0.0400 | | 47,399 | See | | | |
22,713 |
A*33 | | Brazil REDOME Ceara | | 0.0303 | | 101,217 | See | | | |
22,714 |
A*33 | | Brazil REDOME Espirito Santo | | 0.0307 | | 88,485 | See | | | |
22,715 |
A*33 | | Brazil REDOME Federal District | | 0.0343 | | 29,549 | See | | | |
22,716 |
A*33 | | Brazil REDOME Goias | | 0.0331 | | 88,574 | See | | | |
22,717 |
A*33 | | Brazil REDOME Maranhao | | 0.0360 | | 10,180 | See | | | |
22,718 |
A*33 | | Brazil REDOME Mato Grosso | | 0.0316 | | 34,649 | See | | | |
22,719 |
A*33 | | Brazil REDOME Mato Grosso do Sul | | 0.0308 | | 95,667 | See | | | |
22,720 |
A*33 | | Brazil REDOME Minas Gerais | | 0.0336 | | 211,275 | See | | | |
22,721 |
A*33 | | Brazil REDOME Para | | 0.0274 | | 72,637 | See | | | |
22,722 |
A*33 | | Brazil REDOME Paraiba | | 0.0312 | | 43,868 | See | | | |
22,723 |
A*33 | | Brazil REDOME Parana | | 0.0277 | | 341,639 | See | | | |
22,724 |
A*33 | | Brazil REDOME Pernambuco | | 0.0320 | | 92,332 | See | | | |
22,725 |
A*33 | | Brazil REDOME Piaui | | 0.0338 | | 46,140 | See | | | |
22,726 |
A*33 | | Brazil REDOME Rio de Janeiro | | 0.0338 | | 139,322 | See | | | |
22,727 |
A*33 | | Brazil REDOME Rio Grande do Norte | | 0.0337 | | 46,603 | See | | | |
22,728 |
A*33 | | Brazil REDOME Rio Grande do Sul | | 0.0238 | | 241,329 | See | | | |
22,729 |
A*33 | | Brazil REDOME Rondonia | | 0.0324 | | 54,396 | See | | | |
22,730 |
A*33 | | Brazil REDOME Roraima | | 0.0271 | | 4,140 | See | | | |
22,731 |
A*33 | | Brazil REDOME Santa Catarina | | 0.0230 | | 106,673 | See | | | |
22,732 |
A*33 | | Brazil REDOME Sao Paulo | | 0.0309 | | 800,809 | See | | | |
22,733 |
A*33 | | Brazil REDOME Sergipe | | 0.0316 | | 7,321 | See | | | |
22,734 |
A*33 | | Brazil REDOME Tocantins | | 0.0344 | | 20,692 | See | | | |
22,735 |
A*33 | | Brazil Rio Grande do Norte Mestizo | | 0.0330 | | 12,973 | See | | | |
22,736 |
A*33 | | Brazil Rio Grande do Sul Black | | 0.0600 | | 248 | See | | | |
22,737 |
A*33 | | Brazil Rio Grande do Sul Caucasoid | | 0.0260 | | 4,428 | See | | | |
22,738 |
A*33 | | Brazil Rio Grande do Sul Mixed | | 0.0270 | | 324 | See | | | |
22,739 |
A*33 | | Brazil Sao Paulo Bauru Mixed | | 0.0290 | | 3,542 | See | | | |
22,740 |
A*33 | | Brazil Sao Paulo Mixed | 0.6 | 0.0300 | | 239 | See | | | |
22,741 |
A*33 | | Brazil South East Cord Blood | | 0.0334 | | 11,409 | See | | |
|
22,742 |
A*33 | | Brazil South Ribeirao Preto | | 0.0250 | | 184 | See | | | |
22,743 |
A*33 | | Burkina Faso Fulani | | 0.1330 | | 49 | See | | | |
22,744 |
A*33 | | Burkina Faso Mossi | | 0.0850 | | 53 | See | | | |
22,745 |
A*33 | | Burkina Faso Rimaibe | | 0.1280 | | 47 | See | | | |
22,746 |
A*33 | | Cameroon Bamileke 2 | | 0.0710 | | 35 | See | | | |
22,747 |
A*33 | | Cameroon Ewondo | | 0.0790 | | 38 | See | | | |
22,748 |
A*33 | | Cameroon Podokwo | | 0.0470 | | 43 | See | | | |
22,749 |
A*33 | | Cameroon Uldeme | | 0 | | 35 | See | | | |
22,750 |
A*33 | | Chile Santiago | | 0.0245 | | 920 | See | | |
|
22,751 |
A*33 | | Chile Santiago Mixed | 1.0 | 0.0050 | | 70 | See | | | |
22,752 |
A*33 | | China Guangdong Province | 23.6 | 0.1259 | | 403 | See | | | |
22,753 |
A*33 | | China Harbin Korean | | 0.1220 | | 201 | See | | | |
22,754 |
A*33 | | China Harbin Manchu | | 0.0280 | | 172 | See | | | |
22,755 |
A*33 | | China Jiangsu Province | | 0.1000 | | 20,248 | See | | | |
22,756 |
A*33 | | China North Han | | 0 | | 105 | See | | | |
22,757 |
A*33 | | China Shaanxi Province Han | | 0.0850 | | 10,000 | See | | | |
22,758 |
A*33 | | China Shandong Province | 19.1 | 0.1010 | | 7,418 | See | | | |
22,759 |
A*33 | | China Shandong Province Linqu County | 18.0 | 0.0944 | | 139 | See | | | |
22,760 |
A*33 | | China Shanghai | | 0.0890 | | 26,266 | See | | | |
22,761 |
A*33 | | China Wuhan | 9.9 | 0.0500 | | 121 | See | | | |
22,762 |
A*33 | | China Yunnan Province Han pop 2 | | 0.0780 | | 129 | See | | | |
22,763 |
A*33 | | China Yunnan Province Naxi | | 0.0320 | | 118 | See | | | |
22,764 |
A*33 | | Colombia Barranquilla | | 0.0450 | | 188 | See | | |
|
22,765 |
A*33 | | Colombia San Basilio de Palenque | | 0.0120 | | 42 | See | | |
|
22,766 |
A*33 | | Colombia Wayu from Guajira Peninsula | | 0.0208 | | 48 | See | | |
|
22,767 |
A*33 | | Croatia pop 2 | | 0.0290 | | 100 | See | | | |
22,768 |
A*33 | | Croatia pop 3 | 3.3 | 0.0167 | | 120 | See | | | |
22,769 |
A*33 | | Cuba Mixed | | 0.0480 | | 78 | See | | | |
22,770 |
A*33 | | Cuba Mixed pop 2 | | 0.0540 | | 189 | See | | | |
22,771 |
A*33 | | Cuba Mixed Race | 19.0 | 0.0950 | | 42 | See | | | |
22,772 |
A*33 | | Czech Republic Kurd | 2.7 | 0.0135 | | 74 | See | | | |
22,773 |
A*33 | | Ecuador Amazonia Mixed Ancestry | | 0.0128 | | 39 | See | | |
|
22,774 |
A*33 | | Ecuador Andes Mixed Ancestry | | 0.0188 | | 824 | See | | |
|
22,775 |
A*33 | | Ecuador Coast Mixed Ancestry | | 0.0126 | | 238 | See | | |
|
22,776 |
A*33 | | Ecuador Mixed Ancestry | | 0.0171 | | 1,173 | See | | |
|
22,777 |
A*33 | | England Lancaster | 1.5 | 0.0075 | | 545 | See | | | |
22,778 |
A*33 | | England Leeds | 1.5 | 0.0075 | | 5,024 | See | | | |
22,779 |
A*33 | | England Liverpool | 1.5 | 0.0075 | | 1,343 | See | | | |
22,780 |
A*33 | | England London Ashkenazi Jews | | 0.0340 | | 500 | See | | | |
22,781 |
A*33 | | England Manchester | 1.6 | 0.0080 | | 1,640 | See | | | |
22,782 |
A*33 | | England Newcastle | 1.5 | 0.0075 | | 2,739 | See | | | |
22,783 |
A*33 | | England North West Mixed pop 2 | 5.0 | 0.0251 | | 379 | See | | | |
22,784 |
A*33 | | England Sheffield | 1.4 | 0.0070 | | 4,755 | See | | | |
22,785 |
A*33 | | France Bordeaux | 3.2 | 0.0161 | | 990 | See | | | |
22,786 |
A*33 | | France Corsica Island | | 0.0110 | | 100 | See | | | |
22,787 |
A*33 | | France Grenoble | 2.9 | 0.0144 | | 1,000 | See | | | |
22,788 |
A*33 | | France Grenoble, Nantes and Rennes | | 0.0130 | | 6,094 | See | | | |
22,789 |
A*33 | | France Lyon | 3.5 | 0.0176 | | 4,813 | See | | | |
22,790 |
A*33 | | France Marseille | 4.5 | 0.0223 | | 1,000 | See | | | |
22,791 |
A*33 | | France Reims | | 0.0340 | | 102 | See | | | |
22,792 |
A*33 | | France Rennes pop 3 | | 0 | | 200 | See | | | |
22,793 |
A*33 | | France Rennes pop 4 | 2.8 | 0.0140 | | 1,000 | See | | | |
22,794 |
A*33 | | France Southeast | 4.6 | 0.0230 | | 130 | See | | | |
22,795 |
A*33 | | Gaza Palestinians | | 0.0360 | | 165 | See | | |
|
22,796 |
A*33 | | Germany | 2.6 | 0.0130 | | 11,407 | See | | | |
22,797 |
A*33 | | Germany Essen | 3.5 | 0.0170 | | 174 | See | | | |
22,798 |
A*33 | | Ghana Accre Asutuare Akan | | 0.0830 | | 429 | See | | | |
22,799 |
A*33 | | Greece Crete | | 0.0450 | | 135 | See | | | |
22,800 |
A*33 | | Greece North | | 0.0250 | | 500 | 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.