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 35 (from 35) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India North UCBB 0.00855,849
 2  A*02:01:01:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 3  A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India North UCBB 0.00745,849
 4  A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.004311,446
 5  A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 6  A*02:06:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 7  A*02:06-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 8  A*02:06-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 9  A*02:11-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.003511,446
 10  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 11  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 12  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 13  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India West UCBB 0.01725,829
 14  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India North UCBB 0.01105,849
 15  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.13301,772
 16  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.11531,734
 17  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 18  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India Central UCBB 0.03574,204
 19  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India North UCBB 0.04925,849
 20  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 21  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India West UCBB 0.01725,829
 22  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India East UCBB 0.04162,403
 23  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 24  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.209511,499
 25  A*26:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 26  A*26:02-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 27  A*30:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 28  A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03  Brazil Puyanawa 1.0000150
 29  A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 30  A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 31  A*31:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India South UCBB 0.005311,446
 32  A*32:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India West UCBB 0.01725,829
 33  A*32:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 34  A*32:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India North UCBB 0.01785,849
 35  A*69:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  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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