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  A*03-B*35-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 4.8800112
 2  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 2.5210119
 3  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 1.3072153
 4  A*01-B*35-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.2200112
 5  A*24-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01  Greece Crete 1.1000135
 6  A*02-B*35-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 7  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.8403119
 8  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 9  A*03:01-B*35:01-C*04:01-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Puyanawa 0.6667150
 10  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Africa Worcester 0.6000159
 11  A*03-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.5460641
 12  A*03:01-B*35:01-C*04:01-E*01:03:01-F*01:03:01-G*01:01-DRB1*01:06-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 13  A*11:01-B*35:01-C*04:01-E*01:01:01-F*01:01:02-G*01:04-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 14  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 15  A*11:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 16  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 17  A*23:01-B*35:01-C*04:01-DRB1*01:03-DQA1*01:01-DQB1*05:01  Brazil Puyanawa 0.3333150
 18  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 19  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*09:01  Russia Belgorod region 0.3268153
 20  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*02:01:04-DPB1*13:01  Russia Belgorod region 0.3268153
 21  A*02:01-B*35:01-C*04:01-DRB1*01:03-DQA1*01:01-DQB1*05:01-DPB1*05:01  USA San Diego 0.2600496
 22  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  USA San Diego 0.2600496
 23  A*25:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  USA San Diego 0.2600496
 24  A*31:01-B*35:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*05:01  USA San Diego 0.2600496
 25  A*03:01-B*35:01-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*13:01  Nicaragua Managua 0.2165339
 26  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Nicaragua Managua 0.2165339
 27  A*11-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 28  A*24-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0943641
 29  A*02-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 30  A*02-B*35-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 31  A*11-B*35-DRB1*01:03-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 32  A*25-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 33  A*26-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 34  A*01:01-B*35:03-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 35  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Sri Lanka Colombo 0.0700714
 36  A*24:02-B*35:01-C*08:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 37  A*26:01-B*35:01-C*03:03-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 38  A*26:03-B*35:01-C*03:03-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 39  A*26:03-B*35:01-C*03:03-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078

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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