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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 |
29,801 |
A*74:19 | | Israel Ashkenazi Jews pop 3 | | 0.0000110 | | 4,625 | See | | |
|
29,802 |
A*74:19 | | Israel Poland Jews | | 0.0000030 | | 13,871 | See | | |
|
29,803 |
A*74:20 | | Israel Ashkenazi Jews pop 3 | | 0.0000110 | | 4,625 | See | | |
|
29,804 |
A*74:20 | | Israel Poland Jews | | 0.0000030 | | 13,871 | See | | |
|
29,805 |
A*74:23 | | Costa Rica Guanacaste Mestizo (G) | 1.0 (*) | 0.0050 (*) | | 110 | See | | |
|
29,806 |
A*80 | | Argentina Buenos Aires pop 2 | 0.5 | 0.0010 | | 1,216 | See | | | |
29,807 |
A*80 | | Argentina Chiriguano | 0.0 | 0 | | 54 | See | | | |
29,808 |
A*80 | | Argentina Corrientes | 0.6 | 0.0030 | | 155 | See | | | |
29,809 |
A*80 | | Argentina Cuyo Region | 0.5 | 0.0020 | | 420 | See | | | |
29,810 |
A*80 | | Argentina La Plata | 0.0 | 0 | | 100 | See | | | |
29,811 |
A*80 | | Argentina Rosario Toba | 0.0 | 0 | | 86 | See | | | |
29,812 |
A*80 | | Argentina Salta Wichi pop 2 | 0.0 | 0 | | 19 | See | | | |
29,813 |
A*80 | | Australia West Caucasian | 0.0 | 0 | | 891 | See | | | |
29,814 |
A*80 | | Azores | | 0 | | 1,050 | See | | | |
29,815 |
A*80 | | Bosnia and Herzegovina | | 0 | | 134 | See | | | |
29,816 |
A*80 | | Brazil Paraná Caucasian | 0.2 | 0.0008 | | 641 | See | | |
|
29,817 |
A*80 | | Brazil Minas Gerais State Mixed | 0.6 | 0.0030 | | 1,000 | See | | | |
29,818 |
A*80 | | Brazil Para State | 0.2 | 0.0020 | | 5,000 | See | | |
|
29,819 |
A*80 | | Brazil Parana Afro Brazilian | 0.0 | 0 | | 77 | See | | | |
29,820 |
A*80 | | Brazil Parana Cafuzo | 0.6 | 0.0030 | | 319 | See | | | |
29,821 |
A*80 | | Brazil Parana Caucasian | 0.3 | 0.0020 | | 2,775 | See | | | |
29,822 |
A*80 | | Brazil Parana Mixed race | 0.5 | 0.0030 | | 186 | See | | | |
29,823 |
A*80 | | Brazil Parana Oriental | 0.0 | 0 | | 33 | See | | | |
29,824 |
A*80 | | Brazil REDOME Acre | | 0.0029 | | 859 | See | | | |
29,825 |
A*80 | | Brazil REDOME Alagoas | | 0.0016 | | 25,349 | See | | | |
29,826 |
A*80 | | Brazil REDOME Amapa | | 0.0012 | | 17,864 | See | | | |
29,827 |
A*80 | | Brazil REDOME Amazonas | | 0.0017 | | 24,129 | See | | | |
29,828 |
A*80 | | Brazil REDOME Bahia | | 0.0039 | | 47,399 | See | | | |
29,829 |
A*80 | | Brazil REDOME Ceara | | 0.0023 | | 101,217 | See | | | |
29,830 |
A*80 | | Brazil REDOME Espirito Santo | | 0.0026 | | 88,485 | See | | | |
29,831 |
A*80 | | Brazil REDOME Federal District | | 0.0024 | | 29,549 | See | | | |
29,832 |
A*80 | | Brazil REDOME Goias | | 0.0020 | | 88,574 | See | | | |
29,833 |
A*80 | | Brazil REDOME Maranhao | | 0.0031 | | 10,180 | See | | | |
29,834 |
A*80 | | Brazil REDOME Mato Grosso | | 0.0018 | | 34,649 | See | | | |
29,835 |
A*80 | | Brazil REDOME Mato Grosso do Sul | | 0.0017 | | 95,667 | See | | | |
29,836 |
A*80 | | Brazil REDOME Minas Gerais | | 0.0022 | | 211,275 | See | | | |
29,837 |
A*80 | | Brazil REDOME Para | | 0.0021 | | 72,637 | See | | | |
29,838 |
A*80 | | Brazil REDOME Paraiba | | 0.0027 | | 43,868 | See | | | |
29,839 |
A*80 | | Brazil REDOME Parana | | 0.0013 | | 341,639 | See | | | |
29,840 |
A*80 | | Brazil REDOME Pernambuco | | 0.0024 | | 92,332 | See | | | |
29,841 |
A*80 | | Brazil REDOME Piaui | | 0.0040 | | 46,140 | See | | | |
29,842 |
A*80 | | Brazil REDOME Rio de Janeiro | | 0.0025 | | 139,322 | See | | | |
29,843 |
A*80 | | Brazil REDOME Rio Grande do Norte | | 0.0025 | | 46,603 | See | | | |
29,844 |
A*80 | | Brazil REDOME Rio Grande do Sul | | 0.0009 | | 241,329 | See | | | |
29,845 |
A*80 | | Brazil REDOME Rondonia | | 0.0024 | | 54,396 | See | | | |
29,846 |
A*80 | | Brazil REDOME Roraima | | 0.0019 | | 4,140 | See | | | |
29,847 |
A*80 | | Brazil REDOME Santa Catarina | | 0.0007 | | 106,673 | See | | | |
29,848 |
A*80 | | Brazil REDOME Sao Paulo | | 0.0018 | | 800,809 | See | | | |
29,849 |
A*80 | | Brazil REDOME Sergipe | | 0.0012 | | 7,321 | See | | | |
29,850 |
A*80 | | Brazil REDOME Tocantins | | 0.0022 | | 20,692 | See | | | |
29,851 |
A*80 | | Brazil Rio Grande do Norte Mestizo | | 0.0030 | | 12,973 | See | | | |
29,852 |
A*80 | | Brazil Rio Grande do Sul Black | | 0.0020 | | 248 | See | | | |
29,853 |
A*80 | | Brazil Rio Grande do Sul Caucasoid | | 0.0005 | | 4,428 | See | | | |
29,854 |
A*80 | | Brazil Rio Grande do Sul Mixed | | 0.0015 | | 324 | See | | | |
29,855 |
A*80 | | Brazil Sao Paulo Bauru Mixed | | 0.0010 | | 3,542 | See | | | |
29,856 |
A*80 | | Brazil Sao Paulo Mixed | 0.0 | 0 | | 239 | See | | | |
29,857 |
A*80 | | Brazil South East Cord Blood | | 0.0020 | | 11,409 | See | | |
|
29,858 |
A*80 | | Brazil South Ribeirao Preto | | 0.0030 | | 184 | See | | | |
29,859 |
A*80 | | Cameroon Bamileke 2 | | 0 | | 35 | See | | | |
29,860 |
A*80 | | Cameroon Ewondo | | 0 | | 38 | See | | | |
29,861 |
A*80 | | Cameroon Podokwo | | 0.0120 | | 43 | See | | | |
29,862 |
A*80 | | Cameroon Uldeme | | 0 | | 35 | See | | | |
29,863 |
A*80 | | Chile Santiago | | 0.0016 | | 920 | See | | |
|
29,864 |
A*80 | | China North Han | | 0 | | 105 | See | | | |
29,865 |
A*80 | | China Shanghai | | 0 | | 26,266 | See | | | |
29,866 |
A*80 | | Colombia Barranquilla | | 0.0030 | | 188 | See | | |
|
29,867 |
A*80 | | Croatia | | 0 | | 150 | See | | | |
29,868 |
A*80 | | Croatia pop 2 | | 0.0050 | | 100 | See | | | |
29,869 |
A*80 | | Cuba Mixed Race | 0.0 | 0 | | 42 | See | | | |
29,870 |
A*80 | | Ecuador Amazonia Mixed Ancestry | | 0 | | 39 | See | | |
|
29,871 |
A*80 | | Ecuador Andes Mixed Ancestry | | 0.0006 | | 824 | See | | |
|
29,872 |
A*80 | | Ecuador Coast Mixed Ancestry | | 0 | | 238 | See | | |
|
29,873 |
A*80 | | Ecuador Mixed Ancestry | | 0.0004 | | 1,173 | See | | |
|
29,874 |
A*80 | | England Sheffield | 0.0 | 0 | | 4,755 | See | | | |
29,875 |
A*80 | | France Grenoble | 0.2 | 0.0011 | | 1,000 | See | | | |
29,876 |
A*80 | | France Lyon | 0.0900 | 0.0004 | | 4,813 | See | | | |
29,877 |
A*80 | | France Marseille | 0.3 | 0.0016 | | 1,000 | See | | | |
29,878 |
A*80 | | Gaza Palestinians | | 0.0030 | | 165 | See | | |
|
29,879 |
A*80 | | Germany | 0.0 | 0 | | 11,407 | See | | | |
29,880 |
A*80 | | Ghana Accre Asutuare Akan | | 0.0090 | | 429 | See | | | |
29,881 |
A*80 | | Greece North | | 0 | | 500 | See | | | |
29,882 |
A*80 | | Greece pop 7 | | 0.0000500 | | 11,250 | See | | | |
29,883 |
A*80 | | Iran Royan Cord Blood Bank | 0.0200 | 0 | | 15,600 | See | | | |
29,884 |
A*80 | | Iraq Erbil | 0.3 | 0.0013 | | 372 | See | | |
|
29,885 |
A*80 | | Iraq Kurdistan Region | 1.0 | 0.0050 | | 209 | See | | | |
29,886 |
A*80 | | Ireland South pop 2 | | 0.0000300 | | 17,624 | See | | | |
29,887 |
A*80 | | Israel Jews pop 2 | 0.1 | 0.0006 | | 23,000 | See | | | |
29,888 |
A*80 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
29,889 |
A*80 | | Italy East Sicily | 2.0 | 0.0100 | | 50 | See | | |
|
29,890 |
A*80 | | Italy North Pavia pop 3 | | 0.0025 | | 685 | See | | | |
29,891 |
A*80 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
29,892 |
A*80 | | Italy Rome | 0.0 | 0 | | 100 | See | | | |
29,893 |
A*80 | | Italy South Campania Region | 0.0 | 0 | | 1,089 | See | | | |
29,894 |
A*80 | | Jordan | | 0.0010 | | 15,141 | See | | | |
29,895 |
A*80 | | Macedonia pop 4 | | 0 | | 216 | See | | | |
29,896 |
A*80 | | Madeira pop 3 | | 0.0030 | | 538 | See | | | |
29,897 |
A*80 | | Malaysia pop 2 | | 0 | | 62 | See | | | |
29,898 |
A*80 | | Mexico Aguascalientes state | | 0 | | 95 | See | | | |
29,899 |
A*80 | | Mexico Baja Californa, Mexicali | | 0 | | 100 | See | | |
|
29,900 |
A*80 | | Mexico Baja California Rural | | 0 | | 50 | 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.