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 57 (from 57) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*15:02-DRB1*04-DQB1*03:02  Mexico Chiapas, Tuxtla Gutierrez 1.886852
 2  A*02-B*15:02-DRB1*04-DQB1*03:02  Mexico Hidalgo, Pachuca 1.219541
 3  A*02-B*15:02-DRB1*04-DQB1*03:02  Mexico Baja California Rural 1.000050
 4  A*02-B*15:02-DRB1*04-DQB1*03:02  Mexico Hidalgo Rural 0.617381
 5  A*02-B*15:02-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 0.526395
 6  A*31-B*15:02-DRB1*04-DQB1*03:02  Mexico Michoacan, Morelia 0.3311150
 7  A*02:01-B*15:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 8  A*02:11:01-B*15:02:01-C*04:03:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 9  A*11-B*15:02-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.1529326
 10  A*02:01-B*15:02-DRB1*04:02-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 11  A*24-B*15:02-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.1433348
 12  A*31-B*15:02-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.1433348
 13  A*02-B*15:02-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.1328751
 14  A*24:07-B*15:02-C*08:03-DRB1*04:05-DQB1*03:02  Malaysia Peninsular Malay 0.1052951
 15  A*24-B*15:02-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.0924539
 16  A*24:17-B*15:02-C*08:01-DRB1*04:04-DQB1*03:02  India West UCBB 0.08015,829
 17  A*02:02-B*15:02-C*01:02-DRB1*04:04-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 18  A*11:01-B*15:02-C*04:01-DRB1*04:05-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 19  A*24:02-B*15:02-C*03:04-DRB1*04:05-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 20  A*02:01-B*15:02-C*08:01-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.04401,772
 21  A*02:07-B*15:02-C*08:01-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.04401,772
 22  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.03061,734
 23  A*31:01:02-B*15:02:01-C*08:01:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 24  A*11:01-B*15:02-C*08:01-DRB1*04:03-DQB1*03:02  India Central UCBB 0.02384,204
 25  A*11:01-B*15:02-C*08:01-DRB1*04:01-DQB1*03:02  India East UCBB 0.02132,403
 26  A*02:03-B*15:02-C*08:01-DRB1*04:01-DQB1*03:02  India East UCBB 0.02082,403
 27  A*02:03-B*15:02-C*08:01-DRB1*04:03-DQB1*03:02  India East UCBB 0.02082,403
 28  A*02:06-B*15:02-C*08:01-DRB1*04:06-DQB1*03:02  India East UCBB 0.02082,403
 29  A*11:01-B*15:02-C*08:01-DRB1*04:05-DQB1*03:02  India East UCBB 0.02082,403
 30  A*68:01-B*15:02-C*08:01-DRB1*04:01-DQB1*03:02  India North UCBB 0.01715,849
 31  A*11:01-B*15:02-C*08:01-DRB1*04:03-DQB1*03:02  India West UCBB 0.01335,829
 32  A*11:01-B*15:02-C*08:01-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01194,204
 33  A*02:06-B*15:02-C*08:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.01152,492
 34  A*02:03-B*15:02-C*08:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.008711,446
 35  A*30:01-B*15:02-C*06:02-DRB1*04:04-DQB1*03:02  India West UCBB 0.00865,829
 36  A*11:01-B*15:02-C*08:01-DRB1*04:04-DQB1*03:02  India North UCBB 0.00855,849
 37  A*11:01-B*15:02-C*08:01-DRB1*04:06-DQB1*03:02  India South UCBB 0.006411,446
 38  A*02:131-B*15:02-C*08:01-DRB1*04:03-DQB1*03:02  India West UCBB 0.00635,829
 39  A*24:02-B*15:02-C*08:01-DRB1*04:03-DQB1*03:02  India West UCBB 0.00455,829
 40  A*02:01-B*15:02-C*08:01-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 41  A*24:02-B*15:02-C*04:01-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 42  A*24:02-B*15:02-C*08:01-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 43  A*24:17-B*15:02-C*08:01-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 44  A*24:17-B*15:02-C*08:01-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 45  A*26:01-B*15:02-C*08:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 46  A*02:11-B*15:02-C*08:01-DRB1*04:06-DQB1*03:02  India South UCBB 0.001511,446
 47  A*02:03-B*15:02-C*08:01-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00045102,492
 48  A*02:03-B*15:02-C*08:01-DRB1*04:02-DQB1*03:02  India Tamil Nadu 0.00045102,492
 49  A*02:03-B*15:02-C*08:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00045102,492
 50  A*02:03-B*15:02-C*08:01-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00045102,492
 51  A*02:06-B*15:02-C*08:01-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00045102,492
 52  A*02:06-B*15:02-C*08:01-DRB1*04:02-DQB1*03:02  India Tamil Nadu 0.00045102,492
 53  A*02:06-B*15:02-C*08:01-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00045102,492
 54  A*02:11-B*15:02-C*08:01-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00045102,492
 55  A*02:11-B*15:02-C*08:01-DRB1*04:02-DQB1*03:02  India Tamil Nadu 0.00045102,492
 56  A*02:11-B*15:02-C*08:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00045102,492
 57  A*02:11-B*15:02-C*08:01-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00045102,492

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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