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)
Clear
Select specific populations
Clear
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)
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
Pakistan Kalash (n=69)
 Allele
Freq
1A*01:010.000
2A*01:020.000
3A*02:010.158
4A*02:020.000
5A*02:030.000
6A*02:040.000
7A*02:050.000
8A*02:060.216
9A*02:070.000
10A*02:080.000
11A*02:090.025
12A*02:100.000
13A*02:110.000
14A*02:120.000
15A*02:130.000
16A*02:140.000
17A*02:15N0.000
18A*02:160.000
19A*02:170.000
20A*02:180.000
21A*02:190.000
22A*02:200.000
23A*02:210.000
24A*02:220.000
25A*02:240.000
26A*02:250.000
27A*02:260.000
28A*02:360.000
29A*03:010.075
30A*03:020.017
31A*11:010.008
32A*11:020.000
33A*11:030.000
34A*11:040.000
35A*23:010.000
36A*24:020.075
37A*24:02:01:02L0.017
38A*24:030.000
39A*24:040.000
40A*24:050.000
41A*24:060.000
42A*24:070.000
43A*24:080.000
44A*24:100.000
45A*24:130.000
46A*24:140.000
47A*25:010.000
48A*25:020.000
49A*26:010.017
50A*26:020.000
51A*26:040.000
52A*26:050.000
53A*26:060.000
54A*26:070.000
55A*26:080.000
56A*26:090.000
57A*29:010.000
58A*29:020.000
59A*29:030.000
60A*30:010.092
61A*30:020.000
62A*30:030.000
63A*30:040.000
64A*31:01:020.042
65A*32:010.075
66A*32:020.000
67A*33:010.017
68A*33:030.058
69A*34:010.000
70A*34:020.000
71A*36:010.000
72A*43:010.000
73A*66:010.000
74A*66:020.000
75A*66:030.000
76A*68:01:010.000
77A*68:01:020.075
78A*68:020.033
79A*68:030.000
80A*68:040.000
81A*68:050.000
82A*80:010.000
Totals1.000
Number of Alleles (k)
0
Heterozygosity (h)0.0000
 
83B*070.007
84B*07:030.000
85B*080.043
86B*130.072
87B*140.000
88B*14:010.000
89B*14:020.000
90B*150.065
91B*180.007
92B*270.094
93B*350.181
94B*370.058
95B*380.058
96B*390.000
97B*400.000
98B*410.000
99B*420.000
100B*440.058
101B*450.000
102B*460.000
103B*470.000
104B*480.000
105B*48:010.000
106B*48:020.000
107B*490.000
108B*500.000
109B*510.275
110B*520.007
111B*530.007
112B*540.000
113B*550.014
114B*560.000
115B*570.007
116B*580.043
117B*670.000
118B*730.000
119B*780.000
120B*810.000
Totals0.996
Number of Alleles (k)
0
Heterozygosity (h)0.0000
 
121C*010.022
122C*020.072
123C*030.057
124C*03:020.043
125C*03:030.014
126C*040.130
127C*050.022
128C*060.138
129C*070.152
130C*07:010.065
131C*07:020.087
132C*07:030.000
133C*07:040.000
134C*080.000
135C*08:010.000
136C*08:020.000
137C*120.101
138C*12:020.014
139C*12:030.087
140C*140.145
141C*150.130
142C*160.029
143C*16:010.000
144C*16:020.029
145C*170.000
Totals1.337
Number of Alleles (k)
0
Heterozygosity (h)0.0000
 
146DQB1*020.217
147DQB1*030.224
148DQB1*03:010.159
149DQB1*03:020.065
150DQB1*03:03:020.000
151DQB1*03:050.000
152DQB1*040.014
153DQB1*050.210
154DQB1*060.188
155DQB1*06:010.130
156DQB1*06:020.058
Totals1.265
Number of Alleles (k)
0
Heterozygosity (h)0.0000
 
157DRB1*010.058
158DRB1*030.094
159DRB1*040.130
160DRB1*070.138
161DRB1*080.014
162DRB1*090.000
163DRB1*100.051
164DRB1*10:010.051
165DRB1*110.094
166DRB1*11:220.000
167DRB1*120.000
168DRB1*130.130
169DRB1*13:020.000
170DRB1*140.094
171DRB1*150.196
172DRB1*160.000
Totals1.050
Number of Alleles (k)16
Heterozygosity (h)0.8798
   

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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional