Allele Frequencies in World Populations

HLA > Allele Frequency Search > Classical

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA allele frequencies that match your criteria. Remember at least one option must be selected.
Locus:  Starting Allele:  Ending Allele:  �� (Type your allele e.g. A*01:01, etc. or leave both empty to include all alleles)
Select specific alleles (If you want to pick specific alleles, make sure your alleles are within the Start-End range above)
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Population:      Country:      Source of dataset: 
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Sample Size:      Sample Year:      Level of resolution :   (Click here for further details)
Population standard: Gold only Gold and Silver All Show frequencies: All Only positives Only negatives
   

Note: The aim of this search option is to display frequencies organised by population. If your selected criteria retrieves alleles that have been found in more than one hundred populations the number of columns will be limited. For a best view please reduce the number of populations to compare.


Line Allele
China Guangxi Region Maonan (n=108)
 Allele
Freq
1A*02:010.046
2A*02:030.176
3A*02:060.046
4A*02:070.134
5A*11:010.352
6A*11:020.065
7A*24:020.134
8A*24:030.005
9A*33:030.042
Totals1.000
Number of Alleles (k)
0
Heterozygosity (h)0.0000
 
10B*08:010.005
11B*13:010.199
12B*15:010.014
13B*15:020.148
14B*15:050.005
15B*15:250.009
16B*27:040.028
17B*27:060.005
18B*35:010.005
19B*38:020.083
20B*39:010.028
21B*39:150.005
22B*40:01
23B*40:02
24B*46:010.134
25B*48:010.005
26B*51:010.019
27B*51:020.005
28B*54:010.019
29B*55:010.005
30B*55:020.060
31B*56:010.019
32B*58:010.042
Totals0.842
Number of Alleles (k)
0
Heterozygosity (h)0.0000
 
33DRB1*03:01
34DRB1*04:03
35DRB1*04:04
36DRB1*04:05
37DRB1*04:06
38DRB1*08:03
39DRB1*09:01
40DRB1*11:01
41DRB1*12:02
42DRB1*13:03
43DRB1*14:01
44DRB1*14:04
45DRB1*14:05
46DRB1*15:01
47DRB1*15:02
48DRB1*16:01
49DRB1*16:02
Totals0.000
Number of Alleles (k)0
Heterozygosity (h)1.0047
   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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