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 51 (from 51) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*13-DRB1*10-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 2  A*29-B*13-C*16-DRB1*10-DQB1*05  Albania pop 2 0.3400432
 3  A*30-B*13-DRB1*10-DQB1*05  Mexico Michoacan, Morelia 0.3311150
 4  A*68:24-B*13:02:01-C*07:04:01-DRB1*10:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 5  A*11:01-B*13:02-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Nicaragua Managua 0.2165339
 6  A*24:02-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.16941,075
 7  A*11:03-B*13:01-C*07:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 8  A*23:01-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*463:01  Tanzania Maasai 0.1597336
 9  A*68:02-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*03:01  Tanzania Maasai 0.1597336
 10  A*30-B*13-DRB1*10-DQB1*05  Mexico Michoacan Rural 0.1433348
 11  A*03:01-B*13:02-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 12  A*30:01-B*13:02-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 13  A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 14  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 15  A*01:01-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*14:01  Russia Karelia 0.05651,075
 16  A*24:02:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.044423,595
 17  A*33:01-B*13:02-C*08:04-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.04402,411
 18  A*30:01-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.033211,446
 19  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 20  A*25:01:01-B*13:02:01-C*12:03-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 21  A*24:02-B*13:01-C*04:03-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02582,492
 22  A*26:01-B*13:01-C*07:04-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 23  A*24:02-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01504,856
 24  A*24:02-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01453,456,066
 25  A*01:01-B*13:01-C*04:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.013611,446
 26  A*24:02-B*13:01-C*04:03-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01204,204
 27  A*24:02-B*13:01-C*03:04-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 28  A*01:01-B*13:01-C*04:03-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.01101,772
 29  A*02:06-B*13:01-C*12:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.01101,772
 30  A*11:01-B*13:01-C*12:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.01101,772
 31  A*68:01-B*13:01-C*04:03-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.01101,772
 32  A*24:02-B*13:01-C*04:03-DRB1*10:01-DQB1*05:01  India West UCBB 0.01015,829
 33  A*03-B*13-C*06-DRB1*10-DQB1*05-DPB1*03  Norway ethnic Norwegians 0.01004,510
 34  A*68:01-B*13:01-C*04:03-DRB1*10:01-DQB1*05:01  India Central UCBB 0.00934,204
 35  A*02:06-B*13:01-C*04:03-DRB1*10:01-DQB1*05:01  India West UCBB 0.00925,829
 36  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.009223,595
 37  A*30:01-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00905,829
 38  A*02:01-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.008711,446
 39  A*01:109-B*13:01-C*04:03-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 40  A*03:01-B*13:01-C*04:03-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 41  A*24:02-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 42  A*31:01-B*13:01-C*04:03-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 43  A*68:01-B*13:01-C*04:03-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 44  A*01:01-B*13:02-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004811,446
 45  A*11:01-B*13:01-C*07:04-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 46  A*26:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.004323,595
 47  A*02:06-B*13:01-C*04:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.003511,446
 48  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002623,595
 49  A*01:01:01-B*13:02:01-C*16:04:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 50  A*24:02-B*13:01-C*04:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.002011,446
 51  A*29:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.001723,595

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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