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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 |
A*01 |  | Albania | | 0.1000 |  | 160 | See |  |  | |
2 |
A*01 |  | Albania pop 2 | 18.3 | 0.0972 |  | 432 | See |  |  | |
3 |
A*01 |  | Albanian Kosovo | | 0.1542 |  | 120 | See |  |  | |
4 |
A*01 |  | Algeria pop 2 | 23.0 | 0.1225 |  | 106 | See |  |  | |
5 |
A*01 |  | Argentina Buenos Aires | 23.2 | 0.1190 |  | 466 | See |  |  | |
6 |
A*01 |  | Argentina Buenos Aires pop 2 | 19.3 | 0.1010 |  | 1,216 | See |  |  | |
7 |
A*01 |  | Argentina Chiriguano | 3.8 | 0.0190 |  | 54 | See |  |  | |
8 |
A*01 |  | Argentina Corrientes | 14.8 | 0.0840 |  | 155 | See |  |  | |
9 |
A*01 |  | Argentina Cuyo Region | 17.1 | 0.0890 |  | 420 | See |  |  | |
10 |
A*01 |  | Argentina La Plata | 22.0 | 0.1150 |  | 100 | See |  |  | |
11 |
A*01 |  | Argentina Rosario Toba | 16.3 | 0.0810 |  | 86 | See |  |  | |
12 |
A*01 |  | Argentina Salta Wichi pop 2 | 0.0 | 0 |  | 19 | See |  |  | |
13 |
A*01 |  | Armenia Ghegharkunik | | 0.1180 |  | 242 | See |  |  | |
14 |
A*01 |  | Armenia living in Iran | | 0.1470 |  | 85 | See |  |  | |
15 |
A*01 |  | Armenia living in Karabakh | | 0.1160 |  | 445 | See |  |  | |
16 |
A*01 |  | Armenia living in Lebanon | | 0.1130 |  | 368 | See |  |  | |
17 |
A*01 |  | Armenia living in USA | | 0.1290 |  | 233 | See |  |  | |
18 |
A*01 |  | Armenia Lori | | 0.1270 |  | 102 | See |  |  | |
19 |
A*01 |  | Armenia Shirak | | 0.1120 |  | 76 | See |  |  | |
20 |
A*01 |  | Armenia Syunik | | 0.1240 |  | 117 | See |  |  | |
21 |
A*01 |  | Armenia Yerevan | | 0.1070 |  | 445 | See |  |  | |
22 |
A*01 |  | Australia West Caucasian | 33.6 | 0.1850 |  | 891 | See |  |  | |
23 |
A*01 |  | Austria | 27.0 | 0.1450 |  | 200 | See |  |  | |
24 |
A*01 |  | Azores | | 0.1160 |  | 1,050 | See |  |  | |
25 |
A*01 |  | Azores Terceira Island | | 0.1090 |  | 130 | See |  |  | |
26 |
A*01 |  | Bangladesh Dhaka Bangalee | | 0.0950 |  | 141 | See |  |  | |
27 |
A*01 |  | Bolivia La Paz Aymaras | | 0.0110 |  | 87 | See |  |  |
|
28 |
A*01 |  | Bolivia Quechua | | 0.0435 |  | 69 | See |  |  |
|
29 |
A*01 |  | Bosnia and Herzegovina | | 0.1343 |  | 134 | See |  |  | |
30 |
A*01 |  | Bosnia and Herzegovina pop 2 | 29.2 | 0.1458 |  | 120 | See |  |  | |
31 |
A*01 |  | Brazil Paraná Caucasian | 19.0 | 0.0959 |  | 641 | See |  |  |
|
32 |
A*01 |  | Brazil Curitiba-Parana Mixed | | 0.1127 |  | 264 | See |  |  | |
33 |
A*01 |  | Brazil Minas Gerais State Mixed | 15.3 | 0.0810 |  | 1,000 | See |  |  | |
34 |
A*01 |  | Brazil Para State | 15.1 | 0.0672 |  | 5,000 | See |  |  |
|
35 |
A*01 |  | Brazil Parana Afro Brazilian | 24.7 | 0.1230 |  | 77 | See |  |  | |
36 |
A*01 |  | Brazil Parana Cafuzo | 18.5 | 0.0920 |  | 319 | See |  |  | |
37 |
A*01 |  | Brazil Parana Caucasian | 19.7 | 0.0990 |  | 2,775 | See |  |  | |
38 |
A*01 |  | Brazil Parana Japanese | 3.0 | 0.0156 |  | 192 | See |  |  |
|
39 |
A*01 |  | Brazil Parana Mixed race | 10.2 | 0.0510 |  | 186 | See |  |  | |
40 |
A*01 |  | Brazil Parana Oriental | 0.0 | 0 |  | 33 | See |  |  | |
41 |
A*01 |  | Brazil Pernambuco Mixed | | 0.0840 |  | 101 | See |  |  | |
42 |
A*01 |  | Brazil Piaui Mixed | | 0.0710 |  | 21,943 | See |  |  | |
43 |
A*01 |  | Brazil REDOME Acre | | 0.0850 |  | 859 | See |  |  | |
44 |
A*01 |  | Brazil REDOME Alagoas | | 0.0872 |  | 25,349 | See |  |  | |
45 |
A*01 |  | Brazil REDOME Amapa | | 0.0599 |  | 17,864 | See |  |  | |
46 |
A*01 |  | Brazil REDOME Amazonas | | 0.0659 |  | 24,129 | See |  |  | |
47 |
A*01 |  | Brazil REDOME Bahia | | 0.0746 |  | 47,399 | See |  |  | |
48 |
A*01 |  | Brazil REDOME Ceara | | 0.0835 |  | 101,217 | See |  |  | |
49 |
A*01 |  | Brazil REDOME Espirito Santo | | 0.0897 |  | 88,485 | See |  |  | |
50 |
A*01 |  | Brazil REDOME Federal District | | 0.0885 |  | 29,549 | See |  |  | |
51 |
A*01 |  | Brazil REDOME Goias | | 0.0927 |  | 88,574 | See |  |  | |
52 |
A*01 |  | Brazil REDOME Maranhao | | 0.0798 |  | 10,180 | See |  |  | |
53 |
A*01 |  | Brazil REDOME Mato Grosso | | 0.0907 |  | 34,649 | See |  |  | |
54 |
A*01 |  | Brazil REDOME Mato Grosso do Sul | | 0.0882 |  | 95,667 | See |  |  | |
55 |
A*01 |  | Brazil REDOME Minas Gerais | | 0.0900 |  | 211,275 | See |  |  | |
56 |
A*01 |  | Brazil REDOME Para | | 0.0638 |  | 72,637 | See |  |  | |
57 |
A*01 |  | Brazil REDOME Paraiba | | 0.0862 |  | 43,868 | See |  |  | |
58 |
A*01 |  | Brazil REDOME Parana | | 0.0998 |  | 341,639 | See |  |  | |
59 |
A*01 |  | Brazil REDOME Pernambuco | | 0.0810 |  | 92,332 | See |  |  | |
60 |
A*01 |  | Brazil REDOME Piaui | | 0.0721 |  | 46,140 | See |  |  | |
61 |
A*01 |  | Brazil REDOME Rio de Janeiro | | 0.0857 |  | 139,322 | See |  |  | |
62 |
A*01 |  | Brazil REDOME Rio Grande do Norte | | 0.0873 |  | 46,603 | See |  |  | |
63 |
A*01 |  | Brazil REDOME Rio Grande do Sul | | 0.1083 |  | 241,329 | See |  |  | |
64 |
A*01 |  | Brazil REDOME Rondonia | | 0.0881 |  | 54,396 | See |  |  | |
65 |
A*01 |  | Brazil REDOME Roraima | | 0.0675 |  | 4,140 | See |  |  | |
66 |
A*01 |  | Brazil REDOME Santa Catarina | | 0.1110 |  | 106,673 | See |  |  | |
67 |
A*01 |  | Brazil REDOME Sao Paulo | | 0.0942 |  | 800,809 | See |  |  | |
68 |
A*01 |  | Brazil REDOME Sergipe | | 0.0812 |  | 7,321 | See |  |  | |
69 |
A*01 |  | Brazil REDOME Tocantins | | 0.0793 |  | 20,692 | See |  |  | |
70 |
A*01 |  | Brazil Rio Grande do Norte Mestizo | | 0.0870 |  | 12,973 | See |  |  | |
71 |
A*01 |  | Brazil Rio Grande do Sul Black | | 0.0420 |  | 248 | See |  |  | |
72 |
A*01 |  | Brazil Rio Grande do Sul Caucasoid | | 0.1050 |  | 4,428 | See |  |  | |
73 |
A*01 |  | Brazil Rio Grande do Sul Mixed | | 0.0870 |  | 324 | See |  |  | |
74 |
A*01 |  | Brazil Sao Paulo Bauru Mixed | | 0.0880 |  | 3,542 | See |  |  | |
75 |
A*01 |  | Brazil Sao Paulo Mixed | 13.0 | 0.0670 |  | 239 | See |  |  | |
76 |
A*01 |  | Brazil South East Cord Blood | | 0.0881 |  | 11,409 | See |  |  |
|
77 |
A*01 |  | Brazil South Ribeirao Preto | | 0.0930 |  | 184 | See |  |  | |
78 |
A*01 |  | Burkina Faso Fulani | | 0.1330 |  | 49 | See |  |  | |
79 |
A*01 |  | Burkina Faso Mossi | | 0.0470 |  | 53 | See |  |  | |
80 |
A*01 |  | Burkina Faso Rimaibe | | 0.0320 |  | 47 | See |  |  | |
81 |
A*01 |  | Cameroon Bakola Pygmy | 6.0 | 0.0304 |  | 50 | See |  |  | |
82 |
A*01 |  | Cameroon Bamileke 2 | | 0 |  | 35 | See |  |  | |
83 |
A*01 |  | Cameroon Ewondo | | 0.0260 |  | 38 | See |  |  | |
84 |
A*01 |  | Cameroon Podokwo | | 0.0120 |  | 43 | See |  |  | |
85 |
A*01 |  | Cameroon Uldeme | | 0.0140 |  | 35 | See |  |  | |
86 |
A*01 |  | Chile Santiago | | 0.1027 |  | 920 | See |  |  |
|
87 |
A*01 |  | China Guangdong Province | 2.7 | 0.0135 |  | 403 | See |  |  | |
88 |
A*01 |  | China Harbin Korean | | 0.0150 |  | 201 | See |  |  | |
89 |
A*01 |  | China Harbin Manchu | | 0.0450 |  | 172 | See |  |  | |
90 |
A*01 |  | China Jiangsu Province | | 0.0310 |  | 20,248 | See |  |  | |
91 |
A*01 |  | China North Han | | 0 |  | 105 | See |  |  | |
92 |
A*01 |  | China Shaanxi Province Han | | 0.0450 |  | 10,000 | See |  |  | |
93 |
A*01 |  | China Shandong Province | 8.1 | 0.0410 |  | 7,418 | See |  |  | |
94 |
A*01 |  | China Shandong Province Linqu County | 2.2 | 0.0110 |  | 139 | See |  |  | |
95 |
A*01 |  | China Shanghai | | 0.0240 |  | 26,266 | See |  |  | |
96 |
A*01 |  | China Wuhan | 3.3 | 0.0170 |  | 121 | See |  |  | |
97 |
A*01 |  | Colombia Barranquilla | | 0.0480 |  | 188 | See |  |  |
|
98 |
A*01 |  | Colombia San Basilio de Palenque | | 0.0600 |  | 42 | See |  |  |
|
99 |
A*01 |  | Croatia pop 2 | | 0.1570 |  | 100 | See |  |  | |
100 |
A*01 |  | Croatia pop 3 | 26.7 | 0.1333 |  | 120 | 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.
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