Allele Frequencies in World Populations

HLA » Haplotype Frequency Search

Displaying all results from your selection.  

Line Haplotype Population Frequency (%) Sample Size Location
1DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01South Korea pop 112.1014936_47_N_129_19_E
2DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01South Korea pop 21.2020737_0_N_126_0_E
3DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*02:01China Zhejiang Han pop 20.8483327_2_N_118_1_E
4DRB1*13:02-DQB1*06:09-DPB1*02:01Gambia pop 30.7993913_0_N_16_0_W
5A*24:02:01-B*15:03:01-C*02:10:01-DRB1*11:01:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01:02Brazil Rio de Janeiro Parda0.5917022_54_S_43_12_W
6A*32:01-B*07:02-C*07:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01Kenya, Nyanza Province, Luo tribe0.501000_5_S_34_46_E
7A*66:01-B*58:02-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01Kenya, Nyanza Province, Luo tribe0.501000_5_S_34_46_E
8A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01Sri Lanka Colombo0.497146_56_N_79_50_E
9A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09-DPB1*02:01Tanzania Maasai0.483363_11_S_37_4_E
10A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01Russian Federation Vologda Region0.4211959_13_N_39_54_E
11A*30:04:01-B*15:10:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01-DPB1*02:01:19South African Black0.3514229_9_S_24_39_E
12A*74:01:01-B*15:03:01-C*02:10:01-DRB1*13:01:01-DQB1*06:09:01-DPB1*02:01:19South African Black0.3514229_9_S_24_39_E
13DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*02:01Hong Kong Chinese HKBMDR. DQ and DP0.341,06422_17_N_114_9_E
14DRB1*13:02:01-DQB1*06:09-DPB1*02:01:02China Inner Mongolia Autonomous Region Northeast0.3249645_27_N_120_56_E
15A*03:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:09-DPB1*02:01Tanzania Maasai0.323363_11_S_37_4_E
16A*29:01-B*18:01-C*07:04-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01South Africa Worcester0.3015933_39_S_19_27_E
17A*30:01-B*15:03-C*02:10-DRB1*11:01-DQA1*05:05-DQB1*06:09-DPB1*02:01South Africa Worcester0.3015933_39_S_19_27_E
18A*68:02-B*42:01-C*17:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01South Africa Worcester0.3015933_39_S_19_27_E
19A*68:02-B*58:02-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01South Africa Worcester0.3015933_39_S_19_27_E
20DQB1*06:09-DPB1*02:01:02China Inner Mongolia Autonomous Region Northeast0.2749645_27_N_120_56_E
21A*33:03-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01USA San Diego0.2649632_50_N_117_15_W
22A*23:01-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01Nicaragua Managua0.2233912_7_N_86_10_W
23A*29:02-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01Nicaragua Managua0.2233912_7_N_86_10_W
24A*31:01:02-B*39:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01:02Brazil Rio de Janeiro Caucasian0.1952122_54_S_43_12_W
25A*68:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01:02Brazil Rio de Janeiro Caucasian0.1952122_54_S_43_12_W
26A*33:01-B*39:11-C*16:01-DRB1*14:02-DQB1*06:09-DPB1*02:01Panama0.194628_59_N_79_37_W
27A*33:01-B*52:01-C*15:05-DRB1*04:11-DQB1*06:09-DPB1*02:01Panama0.194628_59_N_79_37_W
28A*03:01-B*58:01-C*07:136-DRB1*13:02-DQB1*06:09-DPB1*02:01Tanzania Maasai0.163363_11_S_37_4_E
29A*24:02-B*53:01-C*07:328-DRB1*13:02-DQB1*06:09-DPB1*02:01Tanzania Maasai0.163363_11_S_37_4_E
30A*34:02-B*40:12-C*04:04-DRB1*13:02-DQB1*06:09-DPB1*02:01Tanzania Maasai0.163363_11_S_37_4_E
31A*74:01-B*15:03-C*02:10-DRB1*13:02-DQB1*06:09-DPB1*02:01Tanzania Maasai0.163363_11_S_37_4_E
32A*74:01-B*44:03-C*04:01-DRB1*15:03-DQB1*06:09-DPB1*02:01Tanzania Maasai0.163363_11_S_37_4_E
33A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*02:01Japan pop 170.133,07837_36_N_138_2_E
34A*24:17-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01Sri Lanka Colombo0.077146_56_N_79_50_E
35A*32:01-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01Sri Lanka Colombo0.077146_56_N_79_50_E
36A*33:03-B*40:01-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01Sri Lanka Colombo0.077146_56_N_79_50_E
37A*33:03-B*44:02-C*05:01-DRB1*13:02-DQB1*06:09-DPB1*02:01Russia Karelia0.061,07563_9_N_32_59_E
38A*29:02-B*51:08-C*16:02-DRB1*13:02-DQB1*06:09-DPB1*02:01Russia Karelia0.061,07563_9_N_32_59_E
39A*02:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09-DPB1*02:01Russia Karelia0.061,07563_9_N_32_59_E
40A*24:02-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*02:01Japan pop 170.033,07837_36_N_138_2_E
41A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09-DPB1*02:01Germany DKMS - German donors0.013,456,06648_31_N_9_3_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