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 68 (from 68) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 1.4370174
 2  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 3  B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  Mexico Mexico City Mestizo pop 2 0.4300234
 4  A*11:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.3690271
 5  A*24:02-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.27202,492
 6  A*02:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.18352,492
 7  A*02:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.143311,446
 8  A*02:01-B*07:02-C*07:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 9  A*24:02-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.13225,829
 10  A*24:02-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.12444,204
 11  A*26:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.111711,446
 12  A*01:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.10834,204
 13  A*26:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.09575,849
 14  A*24:02-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.095011,446
 15  A*68:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.08901,772
 16  A*02:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.08725,829
 17  A*01:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.08302,492
 18  A*33:03-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.08195,829
 19  A*03:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01-DPB1*03:01  Russia Karelia 0.07651,075
 20  A*11:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Russia Karelia 0.07421,075
 21  A*33:03-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.07262,492
 22  A*11:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.07002,492
 23  A*26:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.06512,403
 24  A*26:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.05952,492
 25  A*26:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.05875,829
 26  A*11:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.049911,446
 27  A*01:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.04845,849
 28  A*01:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.04725,829
 29  A*02:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.04401,772
 30  A*33:03-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.03792,403
 31  A*26:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.03554,204
 32  A*03:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.03474,204
 33  A*11:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.03465,829
 34  A*02:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.03354,204
 35  A*24:03:01-B*07:02:01-C*07:02:01:03-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.03311,510
 36  A*02:06-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.03102,492
 37  A*24:02-B*07:02-C*07:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 38  A*24:07-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.02942,403
 39  A*03:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.02772,492
 40  A*68:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.02602,492
 41  A*33:03-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.024211,446
 42  A*24:03-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.02282,492
 43  A*03:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.020811,446
 44  A*31:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.02082,403
 45  A*32:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.02012,492
 46  A*24:02-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.01995,849
 47  A*03:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.01925,829
 48  A*02:03-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.01855,829
 49  A*01:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.017311,446
 50  A*01:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.01562,403
 51  A*11:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01244,204
 52  A*33:03-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01204,204
 53  A*68:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.01185,849
 54  A*68:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01164,204
 55  A*23:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.01101,772
 56  A*34:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.01101,772
 57  A*02:11-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.010811,446
 58  A*02:06-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.00875,849
 59  A*02:06-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 60  A*02:20-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 61  A*24:172-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 62  A*31:135-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 63  A*24:07-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.00855,849
 64  A*32:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00805,829
 65  A*68:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00705,829
 66  A*02:03-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.004511,446
 67  A*29:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00415,829
 68  A*31:01-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.00385,849

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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