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 52 (from 52) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:01:01-B*07:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.392128,927
 2  A*01:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.3690271
 3  A*24:02-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 4  B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 5  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 6  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 7  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 8  A*33:03-B*07:02-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 9  A*24:02-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.09332,492
 10  A*11:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 11  A*11:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.07542,492
 12  A*11:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.07144,204
 13  A*02:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02-DPB1*03:01  Russia Karelia 0.06621,075
 14  A*24:02-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.04904,856
 15  A*03:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.04832,492
 16  A*01:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.046611,446
 17  A*02:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.045211,446
 18  A*03:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.03585,849
 19  A*32:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 20  A*03:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.03114,204
 21  A*24:02-B*07:02-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 22  A*11:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.02915,849
 23  A*11:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.02775,829
 24  A*33:03-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.02745,829
 25  A*31:12-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.02565,849
 26  A*31:12-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.02384,204
 27  A*68:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.02201,772
 28  A*02:11-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02162,492
 29  A*01:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.02142,403
 30  A*31:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02102,492
 31  A*03:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.018911,446
 32  A*68:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.01885,829
 33  A*11:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.018311,446
 34  A*31:12-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.01725,829
 35  A*24:02-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.015011,446
 36  A*01:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01334,204
 37  A*26:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.01295,829
 38  A*24:07-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.012611,446
 39  A*24:07-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01194,204
 40  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.011623,595
 41  A*31:12-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.008711,446
 42  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.008723,595
 43  A*33:03-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.005211,446
 44  A*02:11-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.004511,446
 45  A*32:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.004511,446
 46  A*31:01-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.00414,204
 47  A*02:09-B*07:02-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.004011,446
 48  A*68:01:02-B*07:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 49  A*02:06:01-B*07:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 50  A*68:01:01-B*07:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 51  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002023,595
 52  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.000817423,595

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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