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 45 (from 45) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 1.18161,510
 2  A*02:01-B*41:02-C*17:03-DRB1*13:03-DQA1*05:05-DQB1*03:01  Kosovo 0.8060124
 3  A*33:03:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.5083192
 4  A*02:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 5  A*03:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 6  A*26:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*88:01  Russian Federation Vologda Region 0.4202119
 7  A*02:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 8  A*31:01:02:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 9  A*26:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 10  A*02:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.327923,595
 11  A*66:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*06:01  Russia Belgorod region 0.3268153
 12  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.321923,595
 13  A*03:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.30361,510
 14  A*66:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  Italy pop 5 0.2900975
 15  A*03:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2730192
 16  A*01:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 17  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.23181,510
 18  A*32:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 19  A*23:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 20  A*24:02:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.040523,595
 21  A*11:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03801,510
 22  A*11:01:01:01-B*41:02:01-C*17:03-DRB1*13:03-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 23  A*26:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 24  A*01:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India Central UCBB 0.02384,204
 25  A*66:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India Central UCBB 0.02384,204
 26  A*29:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India East UCBB 0.02082,403
 27  A*01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.020823,595
 28  A*26:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.017223,595
 29  A*01:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India North UCBB 0.01715,849
 30  A*03:02-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India North UCBB 0.01715,849
 31  A*31:01:02-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.013123,595
 32  A*11:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.012623,595
 33  A*02:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India Central UCBB 0.01194,204
 34  A*32:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India West UCBB 0.00865,829
 35  A*68:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India West UCBB 0.00865,829
 36  A*66:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India North UCBB 0.00855,849
 37  A*23:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.007623,595
 38  A*25:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.005523,595
 39  A*03:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004723,595
 40  A*03:02-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India South UCBB 0.004411,446
 41  A*33:03-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India South UCBB 0.004411,446
 42  A*29:02:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004423,595
 43  A*68:01:02-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004323,595
 44  A*02:17:02-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004223,595
 45  A*66:17-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.001623,595

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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