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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 | | Albanian Kosovo | | 0.1542 | | 120 | See | | | |
3 |
A*01 | | Algeria pop 2 | 23.0 | 0.1225 | | 106 | See | | | |
4 |
A*01 | | Bangladesh Dhaka Bangalee | | 0.0950 | | 141 | See | | | |
5 |
A*01 | | Brazil Parana Afro Brazilian | 24.7 | 0.1230 | | 77 | See | | | |
6 |
A*01 | | Brazil Parana Cafuzo | 18.5 | 0.0920 | | 319 | See | | | |
7 |
A*01 | | Brazil Parana Caucasian | 19.7 | 0.0990 | | 2,775 | See | | | |
8 |
A*01 | | Brazil Parana Mixed race | 10.2 | 0.0510 | | 186 | See | | | |
9 |
A*01 | | Brazil Parana Oriental | 0.0 | 0 | | 33 | See | | | |
10 |
A*01 | | Brazil Pernambuco Mixed | | 0.0840 | | 101 | See | | | |
11 |
A*01 | | Brazil South Ribeirao Preto | | 0.0930 | | 184 | See | | | |
12 |
A*01 | | Burkina Faso Fulani | | 0.1330 | | 49 | See | | | |
13 |
A*01 | | Burkina Faso Mossi | | 0.0470 | | 53 | See | | | |
14 |
A*01 | | Burkina Faso Rimaibe | | 0.0320 | | 47 | See | | | |
15 |
A*01 | | Cameroon Bakola Pygmy | 6.0 | 0.0304 | | 50 | See | | | |
16 |
A*01 | | Cameroon Bamileke 2 | | 0 | | 35 | See | | | |
17 |
A*01 | | Cameroon Ewondo | | 0.0260 | | 38 | See | | | |
18 |
A*01 | | Cameroon Podokwo | | 0.0120 | | 43 | See | | | |
19 |
A*01 | | Cameroon Uldeme | | 0.0140 | | 35 | See | | | |
20 |
A*01 | | China Guangdong Province | 2.7 | 0.0135 | | 403 | See | | | |
21 |
A*01 | | China Jiangsu Province | | 0.0310 | | 20,248 | See | | | |
22 |
A*01 | | China North Han | | 0 | | 105 | See | | | |
23 |
A*01 | | China Shaanxi Province Han | | 0.0450 | | 10,000 | See | | | |
24 |
A*01 | | China Shandong Province Linqu County | 2.2 | 0.0110 | | 139 | See | | | |
25 |
A*01 | | China Wuhan | 3.3 | 0.0170 | | 121 | See | | | |
26 |
A*01 | | Cuba Mixed | | 0.0800 | | 78 | See | | | |
27 |
A*01 | | Cuba Mixed pop 2 | | 0.0670 | | 189 | See | | | |
28 |
A*01 | | Cuba Mixed Race | 14.3 | 0.0710 | | 42 | See | | | |
29 |
A*01 | | England London Ashkenazi Jews | | 0.1260 | | 500 | See | | | |
30 |
A*01 | | France Corsica Island | | 0.0650 | | 100 | See | | | |
31 |
A*01 | | France Grenoble, Nantes and Rennes | | 0.1320 | | 6,094 | See | | | |
32 |
A*01 | | France Reims | | 0.1570 | | 102 | See | | | |
33 |
A*01 | | France Rennes pop 3 | | 0.1600 | | 200 | See | | | |
34 |
A*01 | | Germany Essen | 25.9 | 0.1440 | | 174 | See | | | |
35 |
A*01 | | Greece Crete | | 0.1200 | | 135 | See | | | |
36 |
A*01 | | Greece pop 7 | | 0.1049 | | 11,250 | See | | | |
37 |
A*01 | | Greece pop3 | 17.5 | 0.0917 | | 246 | See | | | |
38 |
A*01 | | India Jalpaiguri Toto | 5.0 | 0.0253 | | 40 | See | | | |
39 |
A*01 | | India Kerala Hindu Ezhava | | 0.1040 | | 24 | See | | | |
40 |
A*01 | | India Kerala Hindu Nair | | 0.0850 | | 41 | See | | | |
41 |
A*01 | | India Kerala Hindu Namboothiri | | 0.0630 | | 40 | See | | | |
42 |
A*01 | | India Kerala Hindu Pulaya | | 0 | | 16 | See | | | |
43 |
A*01 | | India Kerala Malabar Muslim | | 0.0590 | | 34 | See | | | |
44 |
A*01 | | India Kerala Syrian Christian | | 0.0480 | | 31 | See | | | |
45 |
A*01 | | Iran Royan Cord Blood Bank | 21.9 | 0.1160 | | 15,600 | See | | | |
46 |
A*01 | | Israel Ashkenazi Jews pop 2 | | 0.1580 | | 132 | See | | | |
47 |
A*01 | | Israel Moroccan Jews | | 0.2590 | | 113 | See | | | |
48 |
A*01 | | Italy | | 0.1210 | | 159,311 | See | | | |
49 |
A*01 | | Italy Bergamo | 14.9 | 0.0750 | | 101 | See | | | |
50 |
A*01 | | Italy North Pavia pop 2 | 21.1 | 0.1120 | | 2,416 | See | | | |
51 |
A*01 | | Italy Rome | 24.0 | 0.1200 | | 100 | See | | | |
52 |
A*01 | | Italy Sardinia pop3 | | 0.0450 | | 100 | See | | | |
53 |
A*01 | | Japan Hyogo | 6.3 | 0.0330 | | 32 | See | | | |
54 |
A*01 | | Japan Kyoto and Osaka | | 0.0090 | | 165 | See | | | |
55 |
A*01 | | Japan pop 11 | 1.6 | 0.0080 | | 62 | See | | | |
56 |
A*01 | | Japan pop 2 | | 0.0040 | | 916 | See | | | |
57 |
A*01 | | Jordan | | 0.1500 | | 15,141 | See | | | |
58 |
A*01 | | Macedonia pop 3 | | 0.1370 | | 172 | See | | | |
59 |
A*01 | | Madeira pop 2 | | 0.0890 | | 173 | See | | | |
60 |
A*01 | | Malaysia Negeri Sembilan Minangkabau | | 0.0300 | | 34 | See | | | |
61 |
A*01 | | Malaysia Perak and Johor Banjar Bugis Jawa | | 0.0210 | | 94 | See | | | |
62 |
A*01 | | Malaysia Perak Rawa | | 0 | | 23 | See | | | |
63 |
A*01 | | Malaysia pop 3 | | 0.0210 | | 1,445 | See | | | |
64 |
A*01 | | Malaysia Sarawak Iban | | 0.0100 | | 51 | See | | | |
65 |
A*01 | | Martinique | | 0.0700 | | 100 | See | | | |
66 |
A*01 | | Mexico Huasteca Region Teenek | | 0 | | 55 | See | | | |
67 |
A*01 | | Mexico Mestizo | 14.6 | 0.0850 | | 41 | See | | | |
68 |
A*01 | | Mexico Mestizo pop 4 | | 0.0613 | | 269 | See | | | |
69 |
A*01 | | Mexico Mexico City Mestizo | | 0.0830 | | 121 | See | | | |
70 |
A*01 | | Mexico Puebla Mestizo | | 0.0300 | | 99 | See | | | |
71 |
A*01 | | Mexico Sinaloa Mestizo | | 0.0540 | | 56 | See | | | |
72 |
A*01 | | Mongolia Khalkha | | 0.0800 | | 200 | See | | | |
73 |
A*01 | | Mongolia Oold | | 0.1440 | | 104 | See | | | |
74 |
A*01 | | Mongolia Tarialan Khoton | | 0.0660 | | 85 | See | | | |
75 |
A*01 | | Mongolia Tsaatan | | 0.1250 | | 144 | See | | | |
76 |
A*01 | | Mongolia Ulaanbaatar Khalkha | | 0.0850 | | 41 | See | | | |
77 |
A*01 | | Morocco | | 0.1480 | | 96 | See | | | |
78 |
A*01 | | Morocco Casablanca | | 0.1100 | | 100 | See | | | |
79 |
A*01 | | Morocco pop 2 | | 0.1000 | | 110 | See | | | |
80 |
A*01 | | Norway pop 2 | | 0.1520 | | 576 | See | | | |
81 |
A*01 | | Norway Sami | | 0.0650 | | 200 | See | | | |
82 |
A*01 | | Pakistan Burusho | | 0.0540 | | 92 | See | | | |
83 |
A*01 | | Pakistan Mixed Sindhi | | 0.1330 | | 101 | See | | | |
84 |
A*01 | | Peru Arequipa Mestizo | 8.1 | 0.0410 | | 168 | See | | | |
85 |
A*01 | | Portugal North pop 2 | | 0.1121 | | 1,801 | See | | | |
86 |
A*01 | | Russia Arkhangelsk Pomor | | 0.1400 | | 63 | See | | | |
87 |
A*01 | | Russia Chuvash | | 0.0730 | | 82 | See | | | |
88 |
A*01 | | Russia Murmansk Saomi Mixed | | 0.0400 | | 70 | See | | | |
89 |
A*01 | | Russia Nenet Mixed | | 0.0310 | | 55 | See | | | |
90 |
A*01 | | Russia Northwest pop 3 | 17.0 | 0.0950 | | 100 | See | | | |
91 |
A*01 | | Russia Northwest pop 2 | 22.9 | 0.1220 | | 346 | See | | | |
92 |
A*01 | | Russia Sakhalin Island Nivkhi | | 0.0090 | | 53 | See | | | |
93 |
A*01 | | Russia Samara Region | | 0.1030 | | 2,500 | See | | | |
94 |
A*01 | | Rwanda | | 0.1360 | | 280 | See | | | |
95 |
A*01 | | Saudi Arabia | 16.7 | 0.0873 | | 18 | See | | | |
96 |
A*01 | | Saudi Arabia pop 2 | | 0.0680 | | 383 | See | | | |
97 |
A*01 | | Scotland Orkney | 33.0 | 0.1700 | | 99 | See | | | |
98 |
A*01 | | Serbia | | 0.1320 | | 386 | See | | | |
99 |
A*01 | | Serbia pop 3 | 26.3 | 0.1426 | | 1,992 | See | | | |
100 |
A*01 | | South Africa Natal Zulu | 8.0 | 0.0400 | | 100 | 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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