Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 69 (from 69) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 1.639361
 2  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 3  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Oaxaca, Oaxaca city 1.3245151
 4  A*68-B*15:05-DRB1*04-DQB1*03:02  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 5  A*31-B*15:05-DRB1*04-DQB1*03:02  Mexico Veracruz, Cordoba 0.892956
 6  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Tlaxcala, Tlaxcala city 0.8287181
 7  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Coahuila, Saltillo 0.684972
 8  A*31-B*15:05-DRB1*04-DQB1*03:02  Mexico Jalisco, Zapopan 0.5952168
 9  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 0.526395
 10  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 0.4854103
 11  A*01-B*15:05-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 0.4587216
 12  A*23-B*15:05-DRB1*04-DQB1*03:02  Mexico Nuevo Leon, Monterrey city 0.4425226
 13  A*02-B*15:05-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 0.4202238
 14  A*31-B*15:05-DRB1*04-DQB1*03:02  Mexico Tabasco Rural 0.3521142
 15  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Guerrero state 0.3472144
 16  A*25-B*15:05-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.3409439
 17  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Mexico City Metropolitan Area Rural 0.3289150
 18  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Mexico City Metropolitan Area Rural 0.3289150
 19  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Mexico City Center 0.3247152
 20  A*23:01-B*15:05-C*03:03-DRB1*04:01-DQA1*01:04-DQB1*03:02-DPB1*04:01  South Africa Worcester 0.3000159
 21  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.2998833
 22  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 0.2907171
 23  A*11:01:01-B*15:05:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 24  A*02:01-B*15:05-C*04:01-DRB1*04:06-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 25  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.25131,189
 26  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 0.2500396
 27  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 0.2294216
 28  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Zacatecas Rural 0.1859266
 29  A*02:11-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 30  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.1807830
 31  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.1529326
 32  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.1529326
 33  A*02:01-B*15:05-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 34  A*36-B*15:05-DRB1*04:02-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 35  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.1328751
 36  A*24-B*15:05-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 0.1214824
 37  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.1205830
 38  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.1136439
 39  A*02-B*15:05-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.08531,173
 40  A*24-B*15:05-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.08531,173
 41  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.0853585
 42  A*68-B*15:05-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.0853585
 43  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.07521,994
 44  A*02:01-B*15:05-C*07:04-DRB1*04:08-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 45  A*02:01-B*15:05-C*01:02-DRB1*04:11-DQB1*03:02  Colombia Bogotá Cord Blood 0.06841,463
 46  A*31:15-B*15:05-C*01:02-DRB1*04:11-DQB1*03:02  Colombia Bogotá Cord Blood 0.06841,463
 47  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.0600833
 48  A*31-B*15:05-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.05011,994
 49  A*68-B*15:05-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.05011,994
 50  A*11:01-B*15:05-C*03:03-DRB1*04:06-DQB1*03:02  USA Asian pop 2 0.04401,772
 51  A*31-B*15:05-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.04191,189
 52  A*02:22-B*15:05-C*01:02-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 53  A*02:01:01-B*15:05:01-C*04:01:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 54  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.02511,994
 55  A*02:11-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02112,492
 56  A*33:03-B*15:05-C*04:03-DRB1*04:01-DQB1*03:02  India East UCBB 0.02082,403
 57  A*01:01-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01194,204
 58  A*03:01-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01194,204
 59  A*24:02-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01194,204
 60  A*02:11-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02  India West UCBB 0.00895,829
 61  A*11:01-B*15:05-C*15:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.008711,446
 62  A*01:01-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02  India West UCBB 0.00865,829
 63  A*02:01-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.004511,446
 64  A*01:01-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 65  A*02:01-B*15:05-C*03:03-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 66  A*02:11-B*15:05-C*15:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 67  A*11:03-B*15:05-C*03:03-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 68  A*24:02-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 69  A*68:01-B*15:05-C*15:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).




   

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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