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)
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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
Pakistan Mixed Sindhi (n=101)
 Allele
Freq
1A*010.133
2A*01:010.133
3A*020.165
4A*02:010.070
5A*02:020.000
6A*02:030.000
7A*02:040.000
8A*02:050.025
9A*02:060.032
10A*02:070.000
11A*02:080.013
12A*02:090.000
13A*02:100.000
14A*02:110.025
15A*02:120.000
16A*02:130.000
17A*02:140.000
18A*02:15N0.000
19A*02:160.000
20A*02:170.000
21A*02:180.000
22A*02:190.000
23A*02:200.000
24A*02:210.000
25A*02:220.000
26A*02:240.000
27A*02:250.000
28A*02:260.000
29A*02:360.000
30A*030.057
31A*03:010.044
32A*03:020.013
33A*110.196
34A*11:010.196
35A*11:020.000
36A*11:030.000
37A*11:040.000
38A*230.013
39A*23:010.013
40A*240.132
41A*24:020.107
42A*24:02:01:02L0.006
43A*24:030.019
44A*24:040.000
45A*24:050.000
46A*24:060.000
47A*24:070.000
48A*24:080.000
49A*24:100.000
50A*24:130.000
51A*24:140.000
52A*250.000
53A*25:010.000
54A*25:020.000
55A*260.082
56A*26:010.082
57A*26:020.000
58A*26:060.000
59A*26:070.000
60A*26:080.000
61A*26:090.000
62A*290.000
63A*29:010.000
64A*29:020.000
65A*29:030.000
66A*300.006
67A*30:010.000
68A*30:020.000
69A*30:030.000
70A*30:040.006
71A*310.044
72A*31:01:020.044
73A*320.051
74A*32:010.051
75A*32:020.000
76A*330.076
77A*33:010.000
78A*33:030.076
79A*340.000
80A*34:010.000
81A*34:020.000
82A*360.000
83A*36:010.000
84A*430.000
85A*43:010.000
86A*660.000
87A*66:010.000
88A*66:020.000
89A*66:030.000
90A*68:010.045
91A*68:01:010.013
92A*68:01:020.032
93A*68:020.000
94A*68:030.000
95A*68:040.000
96A*68:050.000
97A*690.000
98A*69:010.000
99A*800.000
100A*80:010.000
Totals2.000
Number of Alleles (k)
0
Heterozygosity (h)0.0000
 
101B*070.040
102B*080.119
103B*130.005
104B*140.025
105B*14:010.020
106B*14:020.005
107B*150.040
108B*180.045
109B*270.005
110B*350.104
111B*370.020
112B*380.000
113B*390.010
114B*400.134
115B*410.005
116B*420.005
117B*440.040
118B*450.025
119B*460.000
120B*470.000
121B*480.015
122B*48:010.005
123B*48:020.010
124B*490.015
125B*500.035
126B*510.153
127B*520.084
128B*530.010
129B*540.000
130B*550.000
131B*560.000
132B*570.025
133B*580.045
134B*590.000
135B*670.000
136B*730.000
137B*780.000
138B*810.000
Totals1.044
Number of Alleles (k)
0
Heterozygosity (h)0.0000
 
139C*010.010
140C*020.005
141C*030.093
142C*03:020.083
143C*03:030.010
144C*040.107
145C*050.010
146C*060.121
147C*06:020.121
148C*070.243
149C*07:010.083
150C*07:020.155
151C*07:030.000
152C*07:040.005
153C*080.015
154C*08:010.015
155C*08:020.000
156C*120.175
157C*12:020.102
158C*12:030.073
159C*140.029
160C*150.155
161C*160.034
162C*16:010.015
163C*16:020.019
164C*170.005
Totals1.683
Number of Alleles (k)
0
Heterozygosity (h)0.0000
 
165DQB1*020.333
166DQB1*030.197
167DQB1*03:010.126
168DQB1*03:020.051
169DQB1*03:03:020.010
170DQB1*03:050.010
171DQB1*040.020
172DQB1*050.111
173DQB1*060.177
Totals1.035
Number of Alleles (k)
0
Heterozygosity (h)0.0000
 
174DRB1*010.025
175DRB1*01:030.000
176DRB1*030.247
177DRB1*040.000
178DRB1*070.101
179DRB1*080.020
180DRB1*090.000
181DRB1*100.030
182DRB1*10:010.030
183DRB1*110.156
184DRB1*120.015
185DRB1*130.152
186DRB1*13:020.000
187DRB1*140.040
188DRB1*150.197
189DRB1*160.015
Totals1.028
Number of Alleles (k)16
Heterozygosity (h)0.8418
   

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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