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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 |
B*58:01 |  | Argentina Rosario Toba | 1.2 | 0.0060 |  | 86 | See |  |  | |
2 |
B*58:01 |  | Australia Cape York Peninsula Aborigine | | 0.0100 |  | 103 | See |  |  | |
3 |
B*58:01 |  | Australia New South Wales Caucasian | | 0.0490 |  | 134 | See |  |  | |
4 |
B*58:01 |  | Australia Yuendumu Aborigine | | 0 |  | 191 | See |  |  | |
5 |
B*58:01 |  | Austria | 1.5 | 0.0080 |  | 200 | See |  |  | |
6 |
B*58:01 |  | Azores Central Islands | | 0.0090 |  | 59 | See |  |  | |
7 |
B*58:01 |  | Azores Oriental Islands | | 0.0260 |  | 43 | See |  |  | |
8 |
B*58:01 |  | Azores Terceira Island | | 0.0120 |  | 130 | See |  |  | |
9 |
B*58:01 |  | Belgium | 2.0 | 0.0099 |  | 31,412 | See |  |  |
|
10 |
B*58:01 |  | Brazil Belo Horizonte Caucasian | 4.2 | 0.0210 |  | 95 | See |  |  | |
11 |
B*58:01 |  | Brazil Mixed | | 0.0220 |  | 108 | See |  |  | |
12 |
B*58:01 |  | Brazil Vale do Ribeira Quilombos | 0.0210 | 0 |  | 144 | See |  |  | |
13 |
B*58:01 |  | Bulgaria | | 0.0180 |  | 55 | See |  |  | |
14 |
B*58:01 |  | Burkina Faso Fulani | | 0.0610 |  | 49 | See |  |  | |
15 |
B*58:01 |  | Burkina Faso Mossi | | 0.0570 |  | 53 | See |  |  | |
16 |
B*58:01 |  | Burkina Faso Rimaibe | | 0.0430 |  | 47 | See |  |  | |
17 |
B*58:01 |  | Cameroon Baka Pygmy | | 0.1500 |  | 10 | See |  |  | |
18 |
B*58:01 |  | Cameroon Bakola Pygmy | 8.0 | 0.0408 |  | 50 | See |  |  | |
19 |
B*58:01 |  | Cameroon Bamileke | | 0.0520 |  | 77 | See |  |  | |
20 |
B*58:01 |  | Cameroon Beti | | 0.0370 |  | 174 | See |  |  | |
21 |
B*58:01 |  | Cameroon Sawa | | 0.1150 |  | 13 | See |  |  | |
22 |
B*58:01 |  | Cameroon Yaounde | | 0.0540 |  | 92 | See |  |  | |
23 |
B*58:01 |  | Cape Verde Northwestern Islands | | 0.0320 |  | 62 | See |  |  | |
24 |
B*58:01 |  | Cape Verde Southeastern Islands | | 0.0400 |  | 62 | See |  |  | |
25 |
B*58:01 |  | Central African Republic Mbenzele Pygmy | 5.5 | 0.0278 |  | 36 | See |  |  | |
26 |
B*58:01 |  | Chile Mapuche | | 0.0154 |  | 66 | See |  |  |
|
27 |
B*58:01 |  | Chile Santiago Mixed | 1.0 | 0.0050 |  | 70 | See |  |  | |
28 |
B*58:01 |  | China Beijing | | 0.0230 |  | 67 | See |  |  | |
29 |
B*58:01 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0600 |  | 618 | See |  |  | |
30 |
B*58:01 |  | China Canton Han | | 0.0890 |  | 264 | See |  |  | |
31 |
B*58:01 |  | China Guangdong Province Meizhou Han | | 0.1700 |  | 100 | See |  |  | |
32 |
B*58:01 |  | China Guangxi Region Maonan | | 0.0420 |  | 108 | See |  |  | |
33 |
B*58:01 |  | China Guangzhou | | 0.0850 |  | 102 | See |  |  | |
34 |
B*58:01 |  | China Guangzhou Han | | 0.0470 |  | 106 | See |  |  | |
35 |
B*58:01 |  | China Guizhou Province Bouyei | | 0.0830 |  | 109 | See |  |  | |
36 |
B*58:01 |  | China Guizhou Province Miao pop 2 | | 0.0480 |  | 85 | See |  |  | |
37 |
B*58:01 |  | China Guizhou Province Shui | | 0.0150 |  | 153 | See |  |  | |
38 |
B*58:01 |  | China Han HIV negative | | 0.0630 |  | 72 | See |  |  | |
39 |
B*58:01 |  | China Henan HIV negative | | 0.0630 |  | 16 | See |  |  | |
40 |
B*58:01 |  | China Hubei Han | 12.3 | 0.0616 |  | 3,732 | See |  |  |
|
41 |
B*58:01 |  | China Inner Mongolia Region | | 0.0880 |  | 102 | See |  |  | |
42 |
B*58:01 |  | China Jiangsu Han | | 0.0710 |  | 3,238 | See |  |  | |
43 |
B*58:01 |  | China Jiangsu Province Han | | 0.0714 |  | 334 | See |  |  | |
44 |
B*58:01 |  | China North Han | | 0.0290 |  | 105 | See |  |  | |
45 |
B*58:01 |  | China Qinghai Province Hui | | 0.0230 |  | 110 | See |  |  | |
46 |
B*58:01 |  | China Shanxi HIV negative | | 0.0230 |  | 22 | See |  |  | |
47 |
B*58:01 |  | China Sichuan HIV negative | | 0.0880 |  | 34 | See |  |  | |
48 |
B*58:01 |  | China South Han | | 0.0890 |  | 284 | See |  |  | |
49 |
B*58:01 |  | China Southwest Dai | | 0.0770 |  | 124 | See |  |  | |
50 |
B*58:01 |  | China Tibet Region Tibetan | | 0.0160 |  | 158 | See |  |  | |
51 |
B*58:01 |  | China Yunnan Bulang | | 0.0040 |  | 116 | See |  |  | |
52 |
B*58:01 |  | China Yunnan Hani | | 0.0270 |  | 150 | See |  |  | |
53 |
B*58:01 |  | China Yunnan Province Han | | 0.0740 |  | 101 | See |  |  | |
54 |
B*58:01 |  | China Yunnan Province Jinuo | | 0.0050 |  | 109 | See |  |  | |
55 |
B*58:01 |  | China Yunnan Province Lisu | | 0.0070 |  | 111 | See |  |  | |
56 |
B*58:01 |  | China Yunnan Province Nu | | 0.0190 |  | 107 | See |  |  | |
57 |
B*58:01 |  | China Yunnan Province Wa | | 0.0170 |  | 119 | See |  |  | |
58 |
B*58:01 |  | Colombia Bogotá Cord Blood | 3.3 | 0.0167 |  | 1,463 | See |  |  | |
59 |
B*58:01 |  | Croatia | | 0.0130 |  | 150 | See |  |  | |
60 |
B*58:01 |  | Croatia pop 4 | | 0.0105 |  | 4,000 | See |  |  | |
61 |
B*58:01 |  | Cuba Caucasian | 5.7 | 0.0290 |  | 70 | See |  |  | |
62 |
B*58:01 |  | Cuba Mixed Race | 9.5 | 0.0480 |  | 42 | See |  |  | |
63 |
B*58:01 |  | Czech Republic | | 0.0140 |  | 106 | See |  |  | |
64 |
B*58:01 |  | Czech Republic NMDR | | 0.0069 |  | 5,099 | See |  |  | |
65 |
B*58:01 |  | England North West | 1.0 | 0.0050 |  | 298 | See |  |  | |
66 |
B*58:01 |  | France Corsica Island | | 0.0450 |  | 100 | See |  |  | |
67 |
B*58:01 |  | France French Bone Marrow Donor Registry | | 0.0102 |  | 42,623 | See |  |  | |
68 |
B*58:01 |  | France Southeast | 3.1 | 0.0160 |  | 130 | See |  |  | |
69 |
B*58:01 |  | Gaza | 9.5 | 0.0476 |  | 42 | See |  |  |
|
70 |
B*58:01 |  | Georgia Tibilisi | | 0.0140 |  | 109 | See |  |  | |
71 |
B*58:01 |  | Germany DKMS - Austria minority | | 0.0118 |  | 1,698 | See |  |  | |
72 |
B*58:01 |  | Germany DKMS - Bosnia and Herzegovina minority | | 0.0097 |  | 1,028 | See |  |  | |
73 |
B*58:01 |  | Germany DKMS - China minority | | 0.0593 |  | 1,282 | See |  |  | |
74 |
B*58:01 |  | Germany DKMS - Croatia minority | | 0.0117 |  | 2,057 | See |  |  | |
75 |
B*58:01 |  | Germany DKMS - France minority | | 0.0125 |  | 1,406 | See |  |  | |
76 |
B*58:01 |  | Germany DKMS - German donors | | 0.0079 |  | 3,456,066 | See |  |  |
|
77 |
B*58:01 |  | Germany DKMS - Greece minority | | 0.0145 |  | 1,894 | See |  |  | |
78 |
B*58:01 |  | Germany DKMS - Italy minority | | 0.0198 |  | 1,159 | See |  |  | |
79 |
B*58:01 |  | Germany DKMS - Netherlands minority | | 0.0073 |  | 1,374 | See |  |  | |
80 |
B*58:01 |  | Germany DKMS - Portugal minority | | 0.0162 |  | 1,176 | See |  |  | |
81 |
B*58:01 |  | Germany DKMS - Romania minority | | 0.0097 |  | 1,234 | See |  |  | |
82 |
B*58:01 |  | Germany DKMS - Spain minority | | 0.0131 |  | 1,107 | See |  |  | |
83 |
B*58:01 |  | Germany DKMS - Turkey minority | | 0.0180 |  | 4,856 | See |  |  | |
84 |
B*58:01 |  | Germany DKMS - United Kingdom minority | | 0.0048 |  | 1,043 | See |  |  | |
85 |
B*58:01 |  | Germany pop 6 | | 0.0081 |  | 8,862 | See |  |  | |
86 |
B*58:01 |  | Germany pop 8 | | 0.0090 |  | 39,689 | See |  |  | |
87 |
B*58:01 |  | Ghana Ga-Adangbe | 7.6 | 0.0420 |  | 131 | See |  |  | |
88 |
B*58:01 |  | Greece pop 8 | 4.8 | 0.0241 |  | 83 | See |  |  | |
89 |
B*58:01 |  | Guatemala Mayan | | 0.0070 |  | 132 | See |  |  | |
90 |
B*58:01 |  | Guinea Bissau | | 0.0780 |  | 65 | See |  |  | |
91 |
B*58:01 |  | Hong Kong Chinese | 14.2 | 0.0730 |  | 569 | See |  |  | |
92 |
B*58:01 |  | Hong Kong Chinese BMDR | | 0.0887 |  | 7,595 | See |  |  |
|
93 |
B*58:01 |  | Hong Kong Chinese cord blood registry | | 0.0840 |  | 3,892 | See |  |  |
|
94 |
B*58:01 |  | India Andhra Pradesh Golla | | 0.0720 |  | 111 | See |  |  | |
95 |
B*58:01 |  | India Central UCBB | 7.9 | 0.0395 |  | 4,204 | See |  |  |
|
96 |
B*58:01 |  | India Delhi pop 2 | 15.4 | 0.0880 |  | 90 | See |  |  | |
97 |
B*58:01 |  | India East UCBB | 7.0 | 0.0348 |  | 2,403 | See |  |  |
|
98 |
B*58:01 |  | India Khandesh Region Pawra | | 0.1500 |  | 50 | See |  |  | |
99 |
B*58:01 |  | India Mumbai Maratha | | 0.0740 |  | 91 | See |  |  | |
100 |
B*58:01 |  | India New Delhi | | 0.0680 |  | 71 | 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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