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 Zhejiang Han (n=1734)
 Allele
Freq
1A*01:01:01
2A*01:03
3A*02:01:01
4A*02:03:01
5A*02:05:01
6A*02:06:01
7A*02:07:01
8A*02:09
9A*02:10
10A*02:28
11A*02:53N
12A*03:01:01
13A*03:02:01
14A*11:01:01
15A*11:01:04
16A*11:02:01
17A*11:03
18A*11:263
19A*23:01:01
20A*23:20
21A*24:02:01
22A*24:02:31
23A*24:02:40
24A*24:03:01
25A*24:07:01
26A*24:08
27A*24:10:01
28A*24:20
29A*24:30
30A*24:305
31A*26:01:01
32A*26:35
33A*29:01:01
34A*29:02:01
35A*30:01:01
36A*30:02:01
37A*31:01:02
38A*31:01:09
39A*32:01:01
40A*32:67
41A*33:01:01
42A*33:03:01
43A*34:01:01
44A*68:01:01
45A*68:01:02
46A*69:01
47A*74:02:01
Totals0.000
Number of Alleles (k)
0
Heterozygosity (h)0.0000
 
48B*07:02:01
49B*07:05:01
50B*07:06
51B*08:01:01
52B*13:01:01
53B*13:02:01
54B*14:02:01
55B*15:01:01
56B*15:02:01
57B*15:03:01
58B*15:05:01
59B*15:07:01
60B*15:11:01
61B*15:12
62B*15:13:01
63B*15:17:01
64B*15:18:01
65B*15:19
66B*15:21
67B*15:25:01
68B*15:27:01
69B*15:29
70B*15:32:01
71B*15:58
72B*15:68
73B*18:01:01
74B*18:02
75B*27:02:01
76B*27:04:01
77B*27:05:02
78B*27:06
79B*27:07:01
80B*35:01:01
81B*35:01:23
82B*35:02:01
83B*35:03:01
84B*35:05:01
85B*35:08:01
86B*37:01:01
87B*38:01:01
88B*38:02:01
89B*39:01:01
90B*39:01:03
91B*39:05:01
92B*39:09:01
93B*39:36
94B*40:01:02
95B*40:02:01
96B*40:03
97B*40:06:01
98B*40:229
99B*40:241
100B*40:60
101B*41:01:01
102B*44:02:01
103B*44:03:01
104B*44:03:02
105B*44:05:01
106B*45:01:01
107B*46:01:01
108B*46:29
109B*48:01:01
110B*48:03:01
111B*48:04
112B*49:01:01
113B*50:01:01
114B*51:01:01
115B*51:01:02
116B*51:02:01
117B*51:02:02
118B*51:07:01
119B*51:21
120B*52:01:01
121B*53:01:01
122B*54:01:01
123B*55:01:01
124B*55:02:01
125B*55:02:05
126B*55:12
127B*55:21
128B*56:01:01
129B*56:03
130B*56:04
131B*56:10
132B*56:14
133B*57:01:01
134B*58:01:01
135B*59:01:01
136B*67:01:01
137B*67:01:02
138B*73:01
139B*81:02
Totals0.000
Number of Alleles (k)
0
Heterozygosity (h)0.0000
 
140C*01:02:01
141C*01:02:03
142C*01:03
143C*01:06
144C*02:02:02
145C*03:02:02
146C*03:03:01
147C*03:04:01
148C*03:04:04
149C*03:17
150C*04:01:01
151C*04:03:01
152C*04:82
153C*05:01:01
154C*06:02:01
155C*07:01:01
156C*07:01:02
157C*07:02:01
158C*07:02:06
159C*07:04:01
160C*07:06
161C*07:27:01
162C*07:346
163C*07:43
164C*07:56:02
165C*07:578
166C*07:66
167C*08:01:01
168C*08:02:01
169C*08:03:01
170C*08:22
171C*08:41
172C*12:02:02
173C*12:03:01
174C*14:02:01
175C*14:02:07
176C*14:03
177C*15:02:01
178C*15:05:01
179C*15:05:02
180C*16:02:01
181C*16:04:01
182C*17:01:01
Totals0.000
Number of Alleles (k)
0
Heterozygosity (h)0.0000
 
183DQB1*02:01:01
184DQB1*02:02:01
185DQB1*03:01
186DQB1*03:02:01
187DQB1*03:03:02
188DQB1*03:04:01
189DQB1*03:05:01
190DQB1*03:13
191DQB1*03:17:01
192DQB1*03:57
193DQB1*04:01:01
194DQB1*04:01:02
195DQB1*04:02:01
196DQB1*05:01
197DQB1*05:02:01
198DQB1*05:03:01
199DQB1*05:04
200DQB1*06:01
201DQB1*06:02:01
202DQB1*06:03:01
203DQB1*06:03:08
204DQB1*06:04:01
205DQB1*06:09:01
206DQB1*06:10
Totals0.000
Number of Alleles (k)
0
Heterozygosity (h)0.0000
 
207DRB1*01:01:01
208DRB1*01:02:01
209DRB1*03:01:01
210DRB1*04:01:01
211DRB1*04:02:01
212DRB1*04:03:01
213DRB1*04:04:01
214DRB1*04:05:01
215DRB1*04:06:01
216DRB1*04:07:01
217DRB1*04:08:01
218DRB1*04:10:01
219DRB1*04:78
220DRB1*07:01:01
221DRB1*08:02:01
222DRB1*08:03:02
223DRB1*08:09
224DRB1*09:01:02
225DRB1*10:01:01
226DRB1*11:01:01
227DRB1*11:01:03
228DRB1*11:04:01
229DRB1*11:06:01
230DRB1*12:01:01
231DRB1*12:02:01
232DRB1*12:08
233DRB1*13:01:01
234DRB1*13:02:01
235DRB1*13:03:01
236DRB1*13:07:01
237DRB1*13:12:01
238DRB1*14:02:01
239DRB1*14:03:01
240DRB1*14:04:01
241DRB1*14:05:01
242DRB1*14:07:01
243DRB1*14:18
244DRB1*14:54:01
245DRB1*15:01:01
246DRB1*15:02:01
247DRB1*15:04
248DRB1*16:01:01
249DRB1*16:02:01
250DRB1*16:10
Totals0.000
Number of Alleles (k)0
Heterozygosity (h)1.0003
   

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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