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 56 (from 56) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*40:01-DRB1*10-DQB1*05  Mexico Veracruz, Cordoba 0.892956
 2  A*02:01-B*40:01-C*02:10-DRB1*10:01-DQA1*02:01-DQB1*05:08-DPB1*01:01  South Africa Worcester 0.3000159
 3  A*33:03-B*40:01-C*02:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 4  A*24-B*40:01-DRB1*10-DQB1*05  Mexico Jalisco Rural 0.1706585
 5  A*11:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 6  A*02-B*40:01-DRB1*10-DQB1*05  Mexico Oaxaca Rural 0.1027485
 7  A*24-B*40:01-DRB1*10-DQB1*05  Mexico Oaxaca Rural 0.1027485
 8  A*02:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.09401,999
 9  A*03-B*40:01-DRB1*10-DQB1*05  Mexico Veracruz Rural 0.0924539
 10  A*02:11-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.06132,492
 11  A*11:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.06022,492
 12  A*11:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India East UCBB 0.05552,403
 13  A*02:02-B*40:01-C*15:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 14  A*02:03-B*40:01-C*04:03-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 15  A*01:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 16  A*02:03-B*40:01-C*03:03-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 17  A*02:07-B*40:01-C*01:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 18  A*11:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 19  A*26:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.04402,411
 20  A*01:01-B*40:01-C*12:03-DRB1*10:01-DQB1*05:01  India Central UCBB 0.03574,204
 21  A*02:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India West UCBB 0.03365,829
 22  A*24:07-B*40:01-C*12:03-DRB1*10:01-DQB1*05:01  India North UCBB 0.03285,849
 23  A*32:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India West UCBB 0.02865,829
 24  A*68:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India East UCBB 0.02812,403
 25  A*68:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India West UCBB 0.02235,829
 26  A*02:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 27  A*02:11-B*40:01-C*12:03-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 28  A*11:01-B*40:01-C*12:03-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 29  A*02:06-B*40:01-C*02:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 30  A*02:06-B*40:01-C*02:02-DRB1*10:02-DQB1*05:01  India Tamil Nadu 0.02012,492
 31  A*32:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01664,204
 32  A*11:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India South UCBB 0.015011,446
 33  A*24:02-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 34  A*68:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 35  A*32:01-B*40:01-C*12:03-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.01101,772
 36  A*68:01-B*40:01-C*12:03-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.01101,772
 37  A*68:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 38  A*24:02-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India North UCBB 0.00955,849
 39  A*68:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India North UCBB 0.00905,849
 40  A*32:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India South UCBB 0.008711,446
 41  A*02:131-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 42  A*03:02-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 43  A*11:01-B*40:01-C*12:09-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 44  A*24:02-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 45  A*24:07-B*40:01-C*12:03-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 46  A*26:01-B*40:01-C*12:03-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 47  A*02:06-B*40:01-C*12:03-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 48  A*32:01-B*40:01-C*12:03-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 49  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.004923,595
 50  A*02:01-B*40:01-C*12:03-DRB1*10:01-DQB1*05:02  India South UCBB 0.004411,446
 51  A*02:06-B*40:01-C*02:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 52  A*32:01-B*40:01-C*12:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 53  A*24:07-B*40:01-C*12:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.004311,446
 54  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002723,595
 55  A*01:01-B*40:01-C*03:04-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.00029302,492
 56  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.000183523,595

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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