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 63 (from 63) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11-B*40-C*15-DRB1*10  Iran pop 4 0.4000855
 2  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 3  A*02:11:01-B*40:06:01-C*15:02:01-DRB1*10:01:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 4  A*01:01:01-B*40:06:04-C*15:02:01-DRB1*10:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 0.2688186
 5  A*02:11:01-B*40:06:04-C*15:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 6  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.26402,403
 7  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.2101714
 8  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.20562,492
 9  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.18465,829
 10  A*33:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:02  Malaysia Peninsular Indian 0.1845271
 11  A*24:02-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.18122,403
 12  A*01:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 13  A*33:03-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 14  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.15834,204
 15  A*24:02-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.14832,492
 16  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.145811,446
 17  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 18  A*11:01-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Sri Lanka Colombo 0.1401714
 19  A*11:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.13612,403
 20  A*02:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.11452,492
 21  A*68:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.10402,403
 22  A*11:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.08901,772
 23  A*11:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.085611,446
 24  A*01:01-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 25  A*02:06-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 26  A*24:02-B*40:06-C*15:02-DRB1*10:01-DQA1*01:02-DQB1*06:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 27  A*11:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.06595,849
 28  A*31:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.06475,849
 29  A*24:02-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.05825,829
 30  A*68:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.05335,829
 31  A*24:02-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.05285,849
 32  A*02:02-B*40:01-C*15:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 33  A*24:02-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.046411,446
 34  A*68:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.04574,204
 35  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.04415,849
 36  A*33:03-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.04225,829
 37  A*33:03-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.04214,204
 38  A*02:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.03995,829
 39  A*01:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.03484,204
 40  A*24:02-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.03104,856
 41  A*11:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.02645,829
 42  A*26:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02542,403
 43  A*24:02-B*40:02-C*15:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02272,492
 44  A*31:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.021611,446
 45  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02104,856
 46  A*01:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.020811,446
 47  A*11:03-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 48  A*31:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.01745,829
 49  A*11:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01694,204
 50  A*68:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.01375,849
 51  A*26:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.012411,446
 52  A*31:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01214,204
 53  A*02:03-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 54  A*26:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.01175,849
 55  A*30:02-B*40:12-C*15:05-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.01102,411
 56  A*32:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.01105,849
 57  A*33:03-B*40:12-C*15:05-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.01102,411
 58  A*02:06-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.009311,446
 59  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQB1*03:03  India West UCBB 0.00865,829
 60  A*31:06-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 61  A*02:20-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 62  A*32:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004111,446
 63  A*01:01:01-B*40:02:01-C*15:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595

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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