Allele Frequencies in World Populations

HLA » Haplotype Frequency Search

Displaying all results from your selection.  

Line Haplotype Population Frequency (%) Sample Size Location
1A*01:01-B*48:01-C*08:01-DRB1*09:01Poland DKMS0.0020,65352_8_N_19_23_E
2A*01:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India North UCBB0.015,84928_36_N_77_11_E
3A*02:01:01:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02Russia Nizhny Novgorod, Russians0.071,51056_19_N_43_59_E
4A*02:01-B*48:01-C*08:01-DRB1*09:01Germany DKMS - China minority0.121,28248_31_N_9_3_E
5A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India South UCBB0.0011,44613_6_N_80_8_E
6A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India North UCBB0.015,84928_36_N_77_11_E
7A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.034,33541_22_N_2_11_E
8A*02:03-B*48:01-C*08:01-DRB1*09:01Hong Kong Chinese BMDR0.017,59522_15_N_114_10_E
9A*02:06:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02China Zhejiang Han0.031,73427_2_N_118_1_E
10A*02:06:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*05:02:01China Zhejiang Han0.031,73427_2_N_118_1_E
11A*02:06-B*48:01-C*08:01-DRB1*09:01Germany DKMS - China minority0.081,28248_31_N_9_3_E
12A*02:06-B*48:01-C*08:01-DRB1*09:01Hong Kong Chinese BMDR0.027,59522_15_N_114_10_E
13A*02:06-B*48:01-C*08:01-DRB1*09:01Japan pop 160.0418,60435_41_N_139_46_E
14A*02:06-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India South UCBB0.0011,44613_6_N_80_8_E
15A*02:06-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India Central UCBB0.014,20427_1_N_81_19_E
16A*02:11-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India South UCBB0.0011,44613_6_N_80_8_E
17A*11:01:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DPB1*02:02:01Hong Kong Chinese HKBMDR HLA 11 loci0.015,26622_25_N_114_17_E
18A*11:01:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DPB1*05:01:01Hong Kong Chinese HKBMDR HLA 11 loci0.015,26622_25_N_114_17_E
19A*11:01-B*48:01-C*08:01-DRB1*09:01Hong Kong Chinese BMDR0.047,59522_15_N_114_10_E
20A*11:01-B*48:01-C*08:01-DRB1*09:01Japan pop 160.1318,60435_41_N_139_46_E
21A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01Japan pop 170.033,07837_36_N_138_2_E
22A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01Japan pop 170.033,07837_36_N_138_2_E
23A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01Japan pop 170.033,07837_36_N_138_2_E
24A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India West UCBB0.025,82919_11_N_73_3_E
25A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India North UCBB0.015,84928_36_N_77_11_E
26A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03USA Asian pop 20.131,77244_58_N_93_15_W
27A*24:02:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02China Zhejiang Han0.121,73427_2_N_118_1_E
28A*24:02-B*48:01-C*08:01-DRB1*09:01Hong Kong Chinese BMDR0.147,59522_15_N_114_10_E
29A*24:02-B*48:01-C*08:01-DRB1*09:01Japan pop 160.0418,60435_41_N_139_46_E
30A*24:02-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01Japan pop 170.073,07837_36_N_138_2_E
31A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India South UCBB0.0011,44613_6_N_80_8_E
32A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India Central UCBB0.044,20427_1_N_81_19_E
33A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India North UCBB0.055,84928_36_N_77_11_E
34A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India West UCBB0.025,82919_11_N_73_3_E
35A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India East UCBB0.042,40322_25_N_88_18_E
36A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03USA Asian pop 20.041,77244_58_N_93_15_W
37A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03USA NMDP Hawaiian or other Pacific Islander0.2111,49938_45_N_76_6_W
38A*24:20:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DPB1*13:01:01Hong Kong Chinese HKBMDR HLA 11 loci0.015,26622_25_N_114_17_E
39A*24:20-B*48:01-C*08:01-DRB1*09:01Japan pop 160.0118,60435_41_N_139_46_E
40A*26:01-B*48:01-C*08:01-DRB1*09:01Japan pop 160.0218,60435_41_N_139_46_E
41A*26:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01Japan pop 170.033,07837_36_N_138_2_E
42A*26:02-B*48:01-C*08:01-DRB1*09:01Japan pop 160.0318,60435_41_N_139_46_E
43A*26:02-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01Japan pop 170.033,07837_36_N_138_2_E
44A*26:03-B*48:01-C*08:01-DRB1*09:01Japan pop 160.0118,60435_41_N_139_46_E
45A*30:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India South UCBB0.0011,44613_6_N_80_8_E
46A*31:01-B*48:01-C*08:01-DRB1*09:01Japan pop 160.0218,60435_41_N_139_46_E
47A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03Brazil Puyanawa1.0015010_52_S_53_5_W
48A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01Japan pop 170.033,07837_36_N_138_2_E
49A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01Japan pop 170.033,07837_36_N_138_2_E
50A*31:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India South UCBB0.0111,44613_6_N_80_8_E
51A*32:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India West UCBB0.025,82919_11_N_73_3_E
52A*32:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India North UCBB0.025,84928_36_N_77_11_E
53A*32:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India Central UCBB0.014,20427_1_N_81_19_E
54A*69:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03India South UCBB0.0011,44613_6_N_80_8_E



   

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