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*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*06:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.6536153
 2  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 3  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 4  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQA1*01:05:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 5  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*06:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 6  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.2810356
 7  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 8  A*02:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.23791,510
 9  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 10  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 11  A*02:01:01-B*52:01:01-C*12:02:02  England Blood Donors of Mixed Ethnicity 0.2290519
 12  A*02:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.22881,510
 13  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 14  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 15  A*02:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.07551,510
 16  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 17  A*02:01:01:01-B*52:01:01:01-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 18  A*02:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 19  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 20  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 21  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02845,266
 22  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.019223,595
 23  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*01:01:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 24  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*10:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 25  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.010923,595
 26  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*14:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 27  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*14:04:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00725,266
 28  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004723,595
 29  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.004223,595
 30  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*08:03:02-DQB1*03:01:01  Poland BMR 0.004223,595
 31  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003923,595
 32  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.003123,595
 33  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003023,595
 34  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*04:01:01-DQB1*06:01:03  Poland BMR 0.002123,595
 35  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*13:03:01-DQB1*05:02:01  Poland BMR 0.002123,595
 36  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 37  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:02-DQB1*06:01:01  Poland BMR 0.002123,595
 38  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.001223,595
 39  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.000993423,595

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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