Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 62 (from 62) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.19884,204
 2  A*02:11-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 3  A*24:02-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.17455,829
 4  A*11:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.17212,492
 5  A*11:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.16474,204
 6  A*11:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.16185,849
 7  A*02:11-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.13745,849
 8  A*02:11-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.10115,829
 9  A*24:02-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.09225,849
 10  A*02:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.07935,849
 11  A*24:02-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.07892,492
 12  A*02:11-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.07752,403
 13  A*24:02-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.075511,446
 14  A*11:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.07282,403
 15  A*26:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.07244,204
 16  A*32:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.07004,204
 17  A*01:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.067511,446
 18  A*01:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.06282,403
 19  A*33:03:01-B*40:06:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 20  A*02:11-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.05244,204
 21  A*68:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.051211,446
 22  A*02:06-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.05002,403
 23  A*01:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.04445,849
 24  A*24:02-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 25  A*02:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 26  A*01:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.04222,492
 27  A*02:11-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.04182,492
 28  A*33:03-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.04162,403
 29  A*02:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.03775,829
 30  A*26:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.036811,446
 31  A*11:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.035811,446
 32  A*02:11-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.032211,446
 33  A*01:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.03084,204
 34  A*11:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.03085,829
 35  A*24:02-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.02912,403
 36  A*26:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.02695,849
 37  A*68:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.02485,829
 38  A*68:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.02125,849
 39  A*03:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.01872,492
 40  A*31:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01624,204
 41  A*02:131-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01445,829
 42  A*02:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01374,204
 43  A*31:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.01375,849
 44  A*26:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01365,829
 45  A*02:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.012411,446
 46  A*11:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 47  A*31:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 48  A*02:06-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 49  A*11:03-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 50  A*24:07-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 51  A*33:03-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.01122,492
 52  A*03:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01124,204
 53  A*03:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01015,829
 54  A*33:03-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.00965,829
 55  A*24:07-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00935,849
 56  A*03:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.009211,446
 57  A*31:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.009011,446
 58  A*29:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00855,849
 59  A*30:02-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 60  A*31:135-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 61  A*02:06-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.003711,446
 62  A*68:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.00000042,492

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional