Allele Frequencies in World Populations

HLA » Haplotype Frequency Search

Displaying all results from your selection.  

Line Haplotype Population Frequency (%) Sample Size Location
1A*68:01-B*39:09-C*07:02-DRB1*04:11-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02Venezuela Sierra de Perija Yucpa33.70739_0_N_72_0_W
2A*68:01-B*39:09-DRB1*08:02-DQB1*04:02Chile Mapuche6.156637_48_S_73_23_W
3A*01:01:01-B*39:09:01-C*01:02:01-DRB1*16:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*11:01:01Brazil Barra Mansa Rio State Black2.387322_32_S_44_10_W
4A*32:01:01-B*39:09:01-C*07:02:01-DRB1*08:02:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01Brazil Barra Mansa Rio State Black2.387322_32_S_44_10_W
5A*02:01-B*39:09-DRB1*14:02-DQB1*03:01Chile Mapuche2.316637_48_S_73_23_W
6A*02:01-B*39:09-DRB1*16:02-DQB1*03:01Chile Mapuche1.546637_48_S_73_23_W
7A*68:01-B*39:09-DRB1*04:03-DQB1*03:02Chile Mapuche1.546637_48_S_73_23_W
8A*68:01-B*39:09-DRB1*14:02-DQB1*03:01Chile Mapuche1.546637_48_S_73_23_W
9A*68:01-B*39:09-DRB1*16:02-DQB1*03:01Chile Mapuche1.546637_48_S_73_23_W
10A*68:01-B*39:09-C*07:02-DRB1*04:03-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02Venezuela Sierra de Perija Yucpa1.20739_0_N_72_0_W
11A*24:03-B*39:09-C*07:05-DRB1*08:04-DQB1*04:02Colombia North Chimila Amerindians1.064710_1_N_74_13_W
12A*02:01-B*39:09-DRB1*04:02-DQB1*03:02Chile Mapuche0.776637_48_S_73_23_W
13A*02:01-B*39:09-DRB1*04:03-DQB1*03:02Chile Mapuche0.776637_48_S_73_23_W
14A*29:01-B*39:09-DRB1*15:17N-DQB1*03:01Chile Mapuche0.776637_48_S_73_23_W
15A*31:01-B*39:09-DRB1*04:02-DQB1*03:02Chile Mapuche0.776637_48_S_73_23_W
16A*31:01-B*39:09-DRB1*07:01-DQB1*03:03Chile Mapuche0.776637_48_S_73_23_W
17A*68:01-B*39:09-DRB1*15:01-DQB1*03:01Chile Mapuche0.776637_48_S_73_23_W
18A*68:16-B*39:09-DRB1*16:02-DQB1*03:01Chile Mapuche0.776637_48_S_73_23_W
19A*02:03:01-B*39:09:01-C*07:02:01-DRB1*15:02:01-DQB1*05:02:01Vietnam Kinh0.5010114_5_N_108_27_E
20A*02:01-B*39:09-DRB1*04:03-DQB1*03:01Peru Titikaka Lake Uros0.4810515_50_S_70_1_W
21A*02:01-B*39:09-DRB1*08:02-DQB1*03:02Peru Titikaka Lake Uros0.4810515_50_S_70_1_W
22A*02:01:01-B*39:09:01-C*07:02:01-DRB1*14:06:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01Brazil Rio de Janeiro Caucasian0.1952122_54_S_43_12_W
23A*02:03-B*39:09-C*07:02-DRB1*15:02-DQB1*05:01USA Asian pop 20.091,77244_58_N_93_15_W
24A*02:03-B*39:09USA Asian pop 20.091,77244_58_N_93_15_W
25B*39:09-C*07:02USA Asian pop 20.091,77244_58_N_93_15_W
26A*02:03:01-B*39:09:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01China Zhejiang Han0.061,73427_2_N_118_1_E
27A*02:03:01-B*39:09:01-C*07:02:01-DRB1*04:05:01-DPB1*03:01:01Hong Kong Chinese HKBMDR HLA 11 loci0.055,26622_25_N_114_17_E
28A*02:03-B*39:09-C*07:02-DRB1*16:02Germany DKMS - China minority0.041,28248_31_N_9_3_E
29A*02:11-B*39:09-C*07:02-DRB1*04:04Germany DKMS - China minority0.041,28248_31_N_9_3_E
30A*11:01-B*39:09-C*07:02-DRB1*15:01Germany DKMS - China minority0.041,28248_31_N_9_3_E
31B*39:09-C*07:02USA Hispanic pop 20.041,99944_58_N_93_15_W
32A*24:02-B*39:09-C*07:02-DRB1*14:02-DQB1*03:01Colombia Bogotá Cord Blood0.031,4634_39_N_73_52_W
33A*02:22-B*39:09-C*07:02-DRB1*04:04-DQB1*03:02Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.034,33541_22_N_2_11_E
34A*68:01-B*39:09-C*07:02-DRB1*16:02-DQB1*03:01Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.034,33541_22_N_2_11_E
35A*02:03:01-B*39:09:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01China Zhejiang Han0.031,73427_2_N_118_1_E
36A*02:03:01-B*39:09:01-C*07:02:01-DRB1*15:01:01-DPB1*05:01:01Hong Kong Chinese HKBMDR HLA 11 loci0.035,26622_25_N_114_17_E
37A*02:01-B*39:09USA Hispanic pop 20.031,99944_58_N_93_15_W
38A*23:01-B*39:09USA Hispanic pop 20.031,99944_58_N_93_15_W
39A*02:01-B*39:09-C*07:02-DRB1*04:07-DQB1*03:02USA Hispanic pop 20.021,99944_58_N_93_15_W
40A*02:01-B*39:09-C*07:02-DRB1*04:11-DQB1*04:02USA Hispanic pop 20.021,99944_58_N_93_15_W
41A*02:04-B*39:09USA African American pop 40.022,41144_58_N_93_15_W
42B*39:09-C*07:02USA African American pop 40.022,41144_58_N_93_15_W
43A*02:03-B*39:09-C*07:02-DRB1*15:01Hong Kong Chinese BMDR0.017,59522_15_N_114_10_E
44B*39:09-C*16:01USA Hispanic pop 20.011,99944_58_N_93_15_W
45A*30:01-B*39:09-DRB1*15:01Hong Kong Chinese cord blood registry0.013,89222_15_N_114_10_E
46A*24:02-B*39:09-DRB1*15:01Hong Kong Chinese cord blood registry0.013,89222_15_N_114_10_E
47A*02:01-B*39:09-C*07:02-DRB1*04:04-DQB1*03:02USA Hispanic pop 20.011,99944_58_N_93_15_W
48A*02:01-B*39:09-C*07:02-DRB1*13:03-DQB1*03:01USA Hispanic pop 20.011,99944_58_N_93_15_W
49A*23:01-B*39:09-C*07:02-DRB1*04:04-DQB1*03:02USA Hispanic pop 20.011,99944_58_N_93_15_W
50A*23:01-B*39:09-C*07:02-DRB1*13:03-DQB1*03:01USA Hispanic pop 20.011,99944_58_N_93_15_W
51A*02:03-B*39:09-C*07:02-DRB1*12:02-DQB1*05:02Germany DKMS - Turkey minority0.014,85648_31_N_9_3_E
52A*33:03:01-B*39:09:01-C*07:02:01-DRB1*09:01:02-DPB1*03:01:01Hong Kong Chinese HKBMDR HLA 11 loci0.015,26622_25_N_114_17_E
53A*11:02-B*39:09-C*07:02-DRB1*15:01Hong Kong Chinese BMDR0.017,59522_15_N_114_10_E
54A*24:02-B*39:09-C*07:02-DRB1*15:01Hong Kong Chinese BMDR0.017,59522_15_N_114_10_E
55A*02:03:01-B*39:09:01-C*07:02:01-DRB1*12:01:01-DPB1*02:02:01Hong Kong Chinese HKBMDR HLA 11 loci0.015,26622_25_N_114_17_E
56A*02:03-B*39:09-C*07:02-DRB1*16:02Hong Kong Chinese BMDR0.017,59522_15_N_114_10_E
57A*02:03-B*39:09-C*07:02-DRB1*09:01Hong Kong Chinese BMDR0.007,59522_15_N_114_10_E
58B*39:09-C*07:02China Hubei Han0.003,73230_45_N_114_15_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