Allele Frequencies in World Populations

HLA » Haplotype Frequency Search

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Line Haplotype Population Frequency (%) Sample Size Location
1A*02:06:01-B*15:08:01-C*01:02:01South African Indian population1.005029_22_S_24_31_E
2A*24:07-B*15:08:01-C*01:02:01South African Indian population1.005029_22_S_24_31_E
3A*02:01:01-B*15:08:01-C*01:02:01-DRB1*08:02:01-DQB1*04:02Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
4A*02:01:01-B*15:08:01-C*05:01:01-DRB1*04:01:01-DQB1*03:02:01Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
5A*24:02:01-B*15:08:01-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
6A*24:02:01-B*15:08:01-C*01:02:01-DRB1*16:02:01-DQB1*03:01:01Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
7A*68:01:01-B*15:08:01-C*01:02:01-DRB1*04:07:01-DQB1*03:02:01Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
8A*68:03:01-B*15:08:01-C*01:02:01-DRB1*08:02:01-DQB1*04:02Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
9A*24:02:01-B*15:08:01-C*01:02:01-DRB1*04:01:01-DQB1*03:02:01India Andhra Pradesh Telugu Speaking0.2718613_4_N_80_14_E
10A*24:02:01-B*15:08:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01India Andhra Pradesh Telugu Speaking0.2718613_4_N_80_14_E
11A*26:01:01-B*15:08:01-C*01:02:01-DRB1*07:01:01-DQB1*03:03:02India Kerala Malayalam speaking0.1435613_1_N_80_15_E
12A*31:01:02:01-B*15:08:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01Russia Nizhny Novgorod, Russians0.031,51056_19_N_43_59_E
13A*68:01:02-B*15:08:01-C*01:02:01-DRB1*15:02:01-DPB1*04:01:01Hong Kong Chinese HKBMDR HLA 11 loci0.015,26622_25_N_114_17_E
14A*31:01:02-B*15:08:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01Poland BMR0.0023,59552_0_N_19_22_E
15A*31:01:02-B*15:08:01-C*01:02:01-DRB1*03:01:01-DQB1*02:01:01Poland BMR0.0023,59552_0_N_19_22_E
16A*02:06:01-B*15:08:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01Poland BMR0.0023,59552_0_N_19_22_E
17A*02:06:01-B*15:08:01-C*01:02:01-DRB1*09:01:02-DQB1*03:02:01Poland BMR0.0023,59552_0_N_19_22_E
18A*11:01:01-B*15:08:01-C*01:02:01-DRB1*03:01:01-DQB1*02:01:01Poland BMR0.0023,59552_0_N_19_22_E
19A*31:01:02-B*15:08:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01Poland BMR0.0023,59552_0_N_19_22_E
20A*31:01:02-B*15:08:01-C*01:02:01-DRB1*08:02:01-DQB1*04:02:01Poland BMR0.0023,59552_0_N_19_22_E
21A*31:01:02-B*15:08:01-C*01:02:01-DRB1*09:01:02-DQB1*03:02:01Poland BMR0.0023,59552_0_N_19_22_E
22A*31:01:02-B*15:08:01-C*01:02:01-DRB1*13:01:01-DQB1*03:02:01Poland BMR0.0023,59552_0_N_19_22_E
23A*31:01:02-B*15:08:01-C*01:02:01-DRB1*13:03:01-DQB1*03:02:01Poland BMR0.0023,59552_0_N_19_22_E
24A*31:01:02-B*15:08:01-C*01:02:01-DRB1*15:07:01-DQB1*03:02:01Poland BMR0.0023,59552_0_N_19_22_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.

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