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 41 (from 41) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01-B*51:01-C*14:02-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
 2  A*03:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 3  B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 4  A*68:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 5  A*30:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 6  A*33:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 7  A*24:02-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.04162,403
 8  A*02:06-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.03925,829
 9  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 10  A*03:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 11  A*11:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 12  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 13  A*30:04:01-B*51:01:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 14  A*02:11-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.02575,829
 15  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.025123,595
 16  A*11:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.02415,849
 17  A*24:02-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02384,204
 18  A*68:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.022811,446
 19  A*24:02-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.02175,829
 20  A*02:03-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 21  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.01715,849
 22  A*03:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.013511,446
 23  A*68:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01254,204
 24  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.012523,595
 25  A*11:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.011311,446
 26  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.01115,829
 27  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01004,204
 28  A*26:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00875,829
 29  A*02:821-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 30  A*68:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 31  A*01:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.007411,446
 32  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006723,595
 33  A*02:11-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.005411,446
 34  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.005211,446
 35  A*02:131-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 36  A*31:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00265,849
 37  A*29:02:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 38  A*02:05:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 39  A*02:17:02-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 40  A*33:03-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.001611,446
 41  A*31:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.001511,446

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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