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 50 (from 50) 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  A*02:01:01-B*14:01:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 6  B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.6400234
 7  A*26:01-B*14:01-DRB1*07:01-DQB1*02:02  Mexico Veracruz Xalapa 0.595284
 8  A*26:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.51304,335
 9  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
 10  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
 11  A*26:01-B*14:01-C*12:03-E*01:03:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 12  A*43:01-B*14:01:01-C*02:10:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*01:01:01  South African Black 0.3520142
 13  A*43:01-B*14:01:01-C*08:04:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*131:01  South African Black 0.3520142
 14  A*02:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 15  B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 16  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
 17  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
 18  A*03:01:01-B*14:01:01-C*18:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:08-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 19  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
 20  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
 21  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
 22  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
 23  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
 24  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
 25  A*01:01-B*14:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.1515330
 26  A*03:01-B*14:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.1515330
 27  A*26:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 28  A*02:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 29  A*11:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 30  A*24:02-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 31  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
 32  A*03:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 33  A*32:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 34  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
 35  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
 36  A*23:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 37  A*31:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 38  A*68:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 39  A*68:02-B*14:01-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 40  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
 41  A*02:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 42  A*26:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 43  A*68:02-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 44  A*32:01:01-B*14:01:01-C*08:12-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 45  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
 46  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
 47  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
 48  A*01:01:01-B*14:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 49  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
 50  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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