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 43 (from 43) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*32:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02  Kosovo 0.4030124
 2  A*01:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*05:01  USA San Diego 0.2600496
 3  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.22971,510
 4  A*02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  USA NMDP American Indian South or Central America 0.21155,926
 5  A*11:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.20181,734
 6  A*29:02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 7  A*31:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 8  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 9  A*26:03-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.16003,078
 10  A*24:02-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.10003,078
 11  A*32:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.09401,999
 12  A*26:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.08901,772
 13  A*26:03-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.08901,772
 14  A*31:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.08901,772
 15  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.08651,734
 16  A*02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.07583,456,066
 17  A*02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 18  A*32:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 19  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.05771,734
 20  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.048223,595
 21  A*02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.04401,159
 22  A*11:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 23  A*03:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 24  A*31:01:02:01-B*15:01:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 25  A*32:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 26  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.031123,595
 27  A*02:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 28  A*02:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 29  A*02:06-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 30  A*26:03-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 31  A*31:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 32  A*31:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 33  A*31:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 34  A*33:03-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 35  A*01:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 36  A*26:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 37  A*24:02-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.02813,456,066
 38  A*32:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01783,456,066
 39  A*03:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01623,456,066
 40  A*01:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.015723,595
 41  A*02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 42  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004923,595
 43  A*25:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.003423,595

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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