Please specify your search by selecting options from boxes. Then, click "Search" to find HLA allele frequencies
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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 |
24,701 |
A*36 | | Brazil REDOME Alagoas | | 0.0062 | | 25,349 | See | | | |
24,702 |
A*36 | | Brazil REDOME Amapa | | 0.0039 | | 17,864 | See | | | |
24,703 |
A*36 | | Brazil REDOME Amazonas | | 0.0038 | | 24,129 | See | | | |
24,704 |
A*36 | | Brazil REDOME Bahia | | 0.0131 | | 47,399 | See | | | |
24,705 |
A*36 | | Brazil REDOME Ceara | | 0.0051 | | 101,217 | See | | | |
24,706 |
A*36 | | Brazil REDOME Espirito Santo | | 0.0066 | | 88,485 | See | | | |
24,707 |
A*36 | | Brazil REDOME Federal District | | 0.0050 | | 29,549 | See | | | |
24,708 |
A*36 | | Brazil REDOME Goias | | 0.0054 | | 88,574 | See | | | |
24,709 |
A*36 | | Brazil REDOME Maranhao | | 0.0074 | | 10,180 | See | | | |
24,710 |
A*36 | | Brazil REDOME Mato Grosso | | 0.0051 | | 34,649 | See | | | |
24,711 |
A*36 | | Brazil REDOME Mato Grosso do Sul | | 0.0050 | | 95,667 | See | | | |
24,712 |
A*36 | | Brazil REDOME Minas Gerais | | 0.0070 | | 211,275 | See | | | |
24,713 |
A*36 | | Brazil REDOME Para | | 0.0042 | | 72,637 | See | | | |
24,714 |
A*36 | | Brazil REDOME Paraiba | | 0.0049 | | 43,868 | See | | | |
24,715 |
A*36 | | Brazil REDOME Parana | | 0.0034 | | 341,639 | See | | | |
24,716 |
A*36 | | Brazil REDOME Pernambuco | | 0.0057 | | 92,332 | See | | | |
24,717 |
A*36 | | Brazil REDOME Piaui | | 0.0084 | | 46,140 | See | | | |
24,718 |
A*36 | | Brazil REDOME Rio de Janeiro | | 0.0073 | | 139,322 | See | | | |
24,719 |
A*36 | | Brazil REDOME Rio Grande do Norte | | 0.0059 | | 46,603 | See | | | |
24,720 |
A*36 | | Brazil REDOME Rio Grande do Sul | | 0.0029 | | 241,329 | See | | | |
24,721 |
A*36 | | Brazil REDOME Rondonia | | 0.0056 | | 54,396 | See | | | |
24,722 |
A*36 | | Brazil REDOME Roraima | | 0.0046 | | 4,140 | See | | | |
24,723 |
A*36 | | Brazil REDOME Santa Catarina | | 0.0019 | | 106,673 | See | | | |
24,724 |
A*36 | | Brazil REDOME Sao Paulo | | 0.0050 | | 800,809 | See | | | |
24,725 |
A*36 | | Brazil REDOME Sergipe | | 0.0079 | | 7,321 | See | | | |
24,726 |
A*36 | | Brazil REDOME Tocantins | | 0.0066 | | 20,692 | See | | | |
24,727 |
A*36 | | Brazil Rio Grande do Norte Mestizo | | 0.0050 | | 12,973 | See | | | |
24,728 |
A*36 | | Brazil Rio Grande do Sul Black | | 0.0080 | | 248 | See | | | |
24,729 |
A*36 | | Brazil Rio Grande do Sul Caucasoid | | 0.0030 | | 4,428 | See | | | |
24,730 |
A*36 | | Brazil Rio Grande do Sul Mixed | | 0.0090 | | 324 | See | | | |
24,731 |
A*36 | | Brazil Sao Paulo Bauru Mixed | | 0.0040 | | 3,542 | See | | | |
24,732 |
A*36 | | Brazil Sao Paulo Mixed | 0.1 | 0.0050 | | 239 | See | | | |
24,733 |
A*36 | | Brazil South East Cord Blood | | 0.0059 | | 11,409 | See | | |
|
24,734 |
A*36 | | Cameroon Bamileke 2 | | 0.0570 | | 35 | See | | | |
24,735 |
A*36 | | Cameroon Ewondo | | 0.0260 | | 38 | See | | | |
24,736 |
A*36 | | Cameroon Podokwo | | 0.0230 | | 43 | See | | | |
24,737 |
A*36 | | Cameroon Uldeme | | 0.0140 | | 35 | See | | | |
24,738 |
A*36 | | China Harbin Korean | | 0 | | 201 | See | | | |
24,739 |
A*36 | | China Harbin Manchu | | 0.0030 | | 172 | See | | | |
24,740 |
A*36 | | China North Han | | 0 | | 105 | See | | | |
24,741 |
A*36 | | China Shandong Province | 0.0 | 0 | | 7,418 | See | | | |
24,742 |
A*36 | | China Shandong Province Linqu County | 2.9 | 0.0146 | | 139 | See | | | |
24,743 |
A*36 | | China Shanghai | | 0 | | 26,266 | See | | | |
24,744 |
A*36 | | Colombia Barranquilla | | 0.0080 | | 188 | See | | |
|
24,745 |
A*36 | | Colombia San Basilio de Palenque | | 0.0480 | | 42 | See | | |
|
24,746 |
A*36 | | Croatia | | 0 | | 150 | See | | | |
24,747 |
A*36 | | Croatia pop 2 | | 0 | | 100 | See | | | |
24,748 |
A*36 | | Cuba Mixed | | 0.0080 | | 78 | See | | | |
24,749 |
A*36 | | Cuba Mixed pop 2 | | 0.0110 | | 189 | See | | | |
24,750 |
A*36 | | Cuba Mixed Race | 0.0 | 0 | | 42 | See | | | |
24,751 |
A*36 | | Ecuador Amazonia Mixed Ancestry | | 0 | | 39 | See | | |
|
24,752 |
A*36 | | Ecuador Andes Mixed Ancestry | | 0.0012 | | 824 | See | | |
|
24,753 |
A*36 | | Ecuador Coast Mixed Ancestry | | 0.0042 | | 238 | See | | |
|
24,754 |
A*36 | | Ecuador Mixed Ancestry | | 0.0021 | | 1,173 | See | | |
|
24,755 |
A*36 | | England Leeds | 0.0 | 0 | | 5,024 | See | | | |
24,756 |
A*36 | | England Newcastle | 0.0 | 0 | | 2,739 | See | | | |
24,757 |
A*36 | | England North West Mixed pop 2 | 0.3 | 0.0013 | | 379 | See | | | |
24,758 |
A*36 | | England Sheffield | 0.0 | 0 | | 4,755 | See | | | |
24,759 |
A*36 | | France Bordeaux | 0.1 | 0.0005 | | 990 | See | | | |
24,760 |
A*36 | | France Grenoble | 0.1 | 0.0005 | | 1,000 | See | | | |
24,761 |
A*36 | | France Lyon | 0.0200 | 0.0001 | | 4,813 | See | | | |
24,762 |
A*36 | | France Marseille | 0.1 | 0.0005 | | 1,000 | See | | | |
24,763 |
A*36 | | France Rennes pop 3 | | 0 | | 200 | See | | | |
24,764 |
A*36 | | France Southeast | 0.0 | 0 | | 130 | See | | | |
24,765 |
A*36 | | Germany | 0.0 | 0 | | 11,407 | See | | | |
24,766 |
A*36 | | Ghana Accre Asutuare Akan | | 0.0330 | | 429 | See | | | |
24,767 |
A*36 | | Greece North | | 0 | | 500 | See | | | |
24,768 |
A*36 | | Greece pop 7 | | 0.0006 | | 11,250 | See | | | |
24,769 |
A*36 | | Guatemala, Guatemala City Mixed Ancestry | 0.8 | 0.0039 | | 127 | See | | |
|
24,770 |
A*36 | | India North pop 3 | | 0.0009 | | 587 | See | | | |
24,771 |
A*36 | | Iran Royan Cord Blood Bank | 0.0300 | 0 | | 15,600 | See | | | |
24,772 |
A*36 | | Iraq Arabs | 2.0 | 0.0101 | | 149 | See | | |
|
24,773 |
A*36 | | Ireland South pop 2 | | 0.0001 | | 17,624 | See | | | |
24,774 |
A*36 | | Israel Ashkenazi Jews pop 2 | | 0 | | 132 | See | | | |
24,775 |
A*36 | | Israel Jews pop 2 | 0.0600 | 0.0003 | | 23,000 | See | | | |
24,776 |
A*36 | | Israel Moroccan Jews | | 0 | | 113 | See | | | |
24,777 |
A*36 | | Italy | | 0.0001 | | 159,311 | See | | | |
24,778 |
A*36 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
24,779 |
A*36 | | Italy Lombardy | 0.2 | 0.0010 | | 674 | See | | |
|
24,780 |
A*36 | | Italy North Pavia pop 2 | 0.1 | 0.0010 | | 2,416 | See | | | |
24,781 |
A*36 | | Italy North Pavia pop 3 | | 0.0017 | | 685 | See | | | |
24,782 |
A*36 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
24,783 |
A*36 | | Italy Rome | 0.0 | 0 | | 100 | See | | | |
24,784 |
A*36 | | Italy South Campania Region | 0.1 | 0.0005 | | 1,089 | See | | | |
24,785 |
A*36 | | Japan Hyogo Osaka and Nagano | | 0 | | 195 | See | | | |
24,786 |
A*36 | | Jordan | | 0.0010 | | 15,141 | See | | | |
24,787 |
A*36 | | Macedonia pop 4 | | 0 | | 216 | See | | | |
24,788 |
A*36 | | Madeira pop 2 | | 0.0030 | | 173 | See | | | |
24,789 |
A*36 | | Madeira pop 3 | | 0 | | 538 | See | | | |
24,790 |
A*36 | | Malaysia pop 2 | | 0 | | 62 | See | | | |
24,791 |
A*36 | | Martinique | | 0.0500 | | 100 | See | | | |
24,792 |
A*36 | | Mexico Aguascalientes state | | 0.0053 | | 95 | See | | | |
24,793 |
A*36 | | Mexico Baja Californa, Mexicali | | 0 | | 100 | See | | |
|
24,794 |
A*36 | | Mexico Baja California Rural | | 0 | | 50 | See | | |
|
24,795 |
A*36 | | Mexico Baja California, La Paz | | 0 | | 75 | See | | |
|
24,796 |
A*36 | | Mexico Baja California, Tijuana | | 0 | | 25 | See | | |
|
24,797 |
A*36 | | Mexico Campeche Rural | | 0.0106 | | 47 | See | | |
|
24,798 |
A*36 | | Mexico Campeche, Campeche city | | 0 | | 34 | See | | |
|
24,799 |
A*36 | | Mexico Chiapas Rural | | 0 | | 121 | See | | |
|
24,800 |
A*36 | | Mexico Chiapas, Tuxtla Gutierrez | | 0 | | 52 | 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.