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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 39 (from 39) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Ireland South 2.0000250
 2  A*32:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Ireland South 1.2000250
 3  A*32:01-B*14:01-C*08:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.8772130
 4  A*26:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.7000215
 5  B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.6400234
 6  A*26:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.51304,335
 7  A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 8  A*24:02:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 9  A*02:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 10  B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 11  A*26:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQA1*03:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*06:01  Russia Belgorod region 0.3268153
 12  A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 13  A*11:01-B*14:01-C*08:02-DRB1*07:01-DQA1*01:03-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 14  A*11:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 15  A*29:02:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 16  A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 17  A*26:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 18  A*68:01:02-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*05:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 19  A*26:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 20  A*02:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 21  A*11:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 22  A*24:02-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 23  A*32:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.074923,595
 24  A*03:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 25  A*32:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 26  A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.057323,595
 27  A*26:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.037823,595
 28  A*23:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 29  A*31:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 30  A*68:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 31  A*01:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.031023,595
 32  A*02:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 33  A*26:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 34  A*68:02-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 35  A*24:02:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002523,595
 36  A*23:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002523,595
 37  A*68:01:02-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 38  A*29:02:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 39  A*03:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.001123,595

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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