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 37 (from 37) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*32:01-B*15:17-C*07:01-DRB1*07:01-DQB1*03:03  Mexico Mexico City Mestizo population 0.3497143
 2  B*15:17-C*07:01-DRB1*07:01-DQB1*03:03  Mexico Mexico City Mestizo population 0.3497143
 3  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*07:01:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 4  A*23:01-B*15:17-C*07:01-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 5  A*01:01-B*15:17-C*07:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.08994,204
 6  A*01:01-B*15:17-C*07:01-DRB1*07:01-DQB1*03:03  India North UCBB 0.05955,849
 7  A*32:01-B*15:17-C*07:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 8  A*02:01-B*15:17-C*07:01-DRB1*07:01-DQB1*03:03  Germany DKMS - Italy minority 0.04301,159
 9  A*01:01-B*15:17-C*07:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.04265,849
 10  A*24:02-B*15:17-C*07:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.03782,403
 11  A*01:01-B*15:17-C*07:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.03342,403
 12  A*33:03-B*15:17-C*07:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02764,204
 13  A*01:01-B*15:17-C*07:01-DRB1*07:01-DQB1*03:03  India South UCBB 0.027011,446
 14  A*23:01-B*15:17-C*07:01-DRB1*07:01  Germany DKMS - Greece minority 0.02601,894
 15  A*32:01-B*15:17-C*07:01-DRB1*07:01  Germany DKMS - Greece minority 0.02601,894
 16  A*01:01-B*15:17-C*07:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.024411,446
 17  A*01:01-B*15:17-C*07:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.02045,829
 18  A*02:01-B*15:17-C*07:01-DRB1*07:01-DQB1*03:03  India North UCBB 0.01655,849
 19  A*03:01-B*15:17-C*07:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.01395,829
 20  A*01:01-B*15:17-C*07:01-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 21  A*02:01-B*15:17-C*07:01-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 22  A*03:01-B*15:17-C*07:01-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 23  A*11:01-B*15:17-C*07:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01094,204
 24  A*01:01-B*15:17-C*07:01-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.01004,856
 25  A*02:01-B*15:17-C*07:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 26  A*33:03-B*15:17-C*07:01-DRB1*07:01-DQB1*03:03  India West UCBB 0.00915,829
 27  A*02:01-B*15:17-C*07:01-DRB1*07:01-DQB1*03:03  India West UCBB 0.00865,829
 28  A*29:01-B*15:17-C*07:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 29  A*24:02-B*15:17-C*07:01-DRB1*07:01-DQB1*03:03  India South UCBB 0.005411,446
 30  A*33:03-B*15:17-C*07:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.004811,446
 31  A*01:01-B*15:17-C*07:01-DRB1*07:01-DQB1*03:01  India South UCBB 0.004411,446
 32  A*02:11-B*15:17-C*07:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.004011,446
 33  A*24:02-B*15:17-C*07:01-DRB1*07:01  Poland DKMS 0.002420,653
 34  A*23:01:01-B*15:17:01-C*07:01:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 35  A*23:01:01-B*15:17:01-C*07:01:02-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 36  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.001623,595
 37  A*26:08-B*15:17:01-C*07:01:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.000706423,595

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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