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: 
Region:  Ethnic Origin:     Type of Study:  Sort by: 
Sample Size:      Sample Year:      Level of resolution :   (Click here for further details)
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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
Tonga (n=50)
 Allele
Freq
1DPA1*01:03:010.460
2DPA1*02:01:010.000
3DPA1*02:02:020.530
4DPA1*04:010.010
Totals1.000
 
5DPB1*02:01:020.240
6DPB1*03:010.010
7DPB1*04:010.190
8DPB1*04:020.010
9DPB1*05:010.520
10DPB1*10:010.000
11DPB1*13:010.000
12DPB1*14:010.010
13DPB1*20:01:010.000
14DPB1*28:010.000
15DPB1*29:010.000
16DPB1*31:010.020
Totals1.000
 
17DQB1*03:01:010.230
18DQB1*03:020.170
19DQB1*03:03:020.160
20DQB1*04:010.000
21DQB1*04:020.050
22DQB1*05:01:010.000
23DQB1*05:020.010
24DQB1*05:03:010.170
25DQB1*06:01:010.190
26DQB1*06:020.020
27DQB1*06:030.000
Totals1.000
 
28DRB1*01:010.000
29DRB1*03:01:010.000
30DRB1*04:030.170
31DRB1*04:05:010.040
32DRB1*04:070.000
33DRB1*04:100.010
34DRB1*07:010.000
35DRB1*08:010.010
36DRB1*08:02:010.000
37DRB1*08:03:020.120
38DRB1*09:01:020.160
39DRB1*11:01:010.160
40DRB1*12:010.080
41DRB1*12:02:010.000
42DRB1*13:010.000
43DRB1*13:120.000
44DRB1*14:010.050
45DRB1*14:080.070
46DRB1*15:01:010.030
47DRB1*15:02:010.100
Totals1.000


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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