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 64 (from 64) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.8065186
 2  A*32:01:01-B*52:01:01-C*12:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 3  A*01:01:01:01-B*52:01:01-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 4  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 5  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.104811,446
 6  A*11:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 7  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.09794,204
 8  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.09265,849
 9  A*02:06-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.08784,204
 10  A*24:02-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.07702,403
 11  A*24:02-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.07332,492
 12  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.07172,403
 13  A*03:01-B*52:01-C*12:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 14  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*26:01  Sri Lanka Colombo 0.0700714
 15  A*68:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.06664,204
 16  A*68:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.066211,446
 17  A*24:07-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.06265,829
 18  A*03:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.05641,075
 19  A*32:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03-DPB1*15:01  Russia Karelia 0.05641,075
 20  A*24:35-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Malay 0.0526951
 21  A*24:02-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.049811,446
 22  A*24:07-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.04782,403
 23  A*68:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.04401,772
 24  A*26:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.04272,492
 25  A*02:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.042011,446
 26  A*24:07-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.040611,446
 27  A*24:07-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.04062,492
 28  A*32:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.03922,492
 29  A*32:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.03584,204
 30  A*24:07-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.03455,849
 31  A*02:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.03424,204
 32  A*03:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.029711,446
 33  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.02855,829
 34  A*24:02-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.02815,849
 35  A*01:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.02695,849
 36  A*03:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02162,492
 37  A*32:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.02082,403
 38  A*31:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.02062,403
 39  A*02:11-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02062,492
 40  A*31:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.01872,492
 41  A*02:06-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.01825,829
 42  A*02:03-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.016611,446
 43  A*32:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.01555,849
 44  A*03:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01404,856
 45  A*33:03-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.014011,446
 46  A*02:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.01275,829
 47  A*01:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01204,856
 48  A*31:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 49  A*02:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.01155,849
 50  A*02:11-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.01025,829
 51  A*30:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 52  A*31:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 53  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.010023,595
 54  A*23:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00995,849
 55  A*26:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00905,829
 56  A*31:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 57  A*68:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 58  A*01:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.007011,446
 59  A*02:06-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00675,849
 60  A*32:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.006411,446
 61  A*31:01:02-B*52:01:01-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003323,595
 62  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
 63  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.000580523,595
 64  A*33:03-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.00025402,492

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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