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 79 (from 79) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*13-C*04-DRB1*12  Myanmar Kayin 9.091044
 2  A*02-B*13-C*04-DRB1*12-DQB1*03-DPB1*04  Myanmar Kayin 4.280044
 3  A*02-B*13-C*04-DRB1*12-DQB1*03-DPB1*02  Myanmar Kayin 1.402044
 4  A*02-B*13-C*04-DRB1*12-DQB1*03-DPB1*09  Myanmar Kayin 1.136044
 5  A*24-B*13-C*04-DRB1*12-DQB1*03-DPB1*02  Myanmar Kayin 1.136044
 6  A*31-B*13-C*04-DRB1*12  Myanmar Kayin 1.136044
 7  A*31-B*13-C*04-DRB1*12-DQB1*03-DPB1*04  Myanmar Kayin 1.136044
 8  A*11:01-B*13:01-C*04:06-DRB1*12:02-DQB1*03:01  India Northeast UCBB 0.3378296
 9  A*23:01:01-B*13:01:01-C*04:03:01-DRB1*12:02:01-DQB1*02:03  India Karnataka Kannada Speaking 0.2870174
 10  A*03:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 11  A*02:03-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India Northeast UCBB 0.1689296
 12  A*11:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.157111,446
 13  A*24:02-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India East UCBB 0.14572,403
 14  A*24:02-B*13:01-C*04:06-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.1052951
 15  A*02:06-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.078011,446
 16  A*11:01-B*13:01-C*04:03-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 17  A*11:01-B*13:01-C*04:03-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*26:01  Sri Lanka Colombo 0.0700714
 18  A*24:02-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.069811,446
 19  A*01:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India East UCBB 0.06242,403
 20  A*11:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India Central UCBB 0.06064,204
 21  A*02:06-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.06022,492
 22  A*11:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.06012,492
 23  A*01:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.055811,446
 24  A*02:03-B*13:01-C*04:03-DRB1*12:02  Hong Kong Chinese BMDR 0.05517,595
 25  A*02:06-B*13:01-C*04:01-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 26  A*02:06-B*13:01-C*04:03-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 27  A*11:01-B*13:01-C*04:06-DRB1*12:01-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 28  A*24:02-B*13:01-C*04:04-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 29  A*24:41-B*13:01-C*04:06-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 30  A*26:01-B*13:01-C*04:03-DRB1*12:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 31  A*11:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India West UCBB 0.05195,829
 32  A*24:02-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India West UCBB 0.04315,829
 33  A*24:02-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India Central UCBB 0.04234,204
 34  A*11:01-B*13:01-C*04:03-DRB1*12:02-DQB1*05:03  India East UCBB 0.04162,403
 35  A*24:07-B*13:01-C*04:06-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.04012,492
 36  A*26:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.04012,492
 37  A*68:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.04012,492
 38  A*02:06-B*13:01-C*04:03-DRB1*12:02  Germany DKMS - China minority 0.03901,282
 39  A*02:03:01-B*13:01:01-C*04:03:01-DRB1*12:02:01-DPB1*31:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03215,266
 40  A*02:11-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India Central UCBB 0.03114,204
 41  A*11:01:01-B*13:01:01-C*04:01:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 42  A*02:06-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India North UCBB 0.02315,849
 43  A*68:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.022611,446
 44  A*02-B*13-C*04-DRB1*12  Myanmar Bamar 0.021746
 45  A*24:02-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India North UCBB 0.02135,849
 46  A*24:17-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India East UCBB 0.02082,403
 47  A*68:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India East UCBB 0.02082,403
 48  A*33:03-B*13:01-C*04:03-DRB1*12:01-DQB1*03:01  India Tamil Nadu 0.02012,492
 49  A*33:03-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 50  A*11:01:01-B*13:01:01-C*04:06:01-DRB1*12:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 51  A*11:01-B*13:01-C*04:06-DRB1*12:02  Hong Kong Chinese BMDR 0.01867,595
 52  A*02:03-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.017511,446
 53  A*68:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India North UCBB 0.01715,849
 54  A*11:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India North UCBB 0.01665,849
 55  A*02:11-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.013711,446
 56  A*33:03-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.012911,446
 57  A*02:06-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India Central UCBB 0.01194,204
 58  A*01:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.01101,772
 59  A*68:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.01101,772
 60  A*01-B*13-C*04-DRB1*12  Myanmar Bamar 0.010946
 61  A*02-B*13-C*04-DRB1*12-DQB1*05-DPB1*04  Myanmar Bamar 0.010946
 62  A*11-B*13-C*04-DRB1*12-DQB1*03-DPB1*09  Myanmar Bamar 0.010946
 63  A*31:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India West UCBB 0.01075,829
 64  A*11:02:01-B*13:01:01-C*04:03:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 65  A*26:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.009011,446
 66  A*29:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.008711,446
 67  A*33:03-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India West UCBB 0.00865,829
 68  A*02:01-B*13:01-C*04:03-DRB1*12:01-DQB1*03:01  India North UCBB 0.00855,849
 69  A*31:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:02  India North UCBB 0.00855,849
 70  A*11:01-B*13:01-C*04:03-DRB1*12:02  Hong Kong Chinese BMDR 0.00787,595
 71  A*02:03-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India West UCBB 0.00775,829
 72  A*32:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.006511,446
 73  A*03:01-B*13:01-C*04:03-DRB1*12:02  Hong Kong Chinese BMDR 0.00647,595
 74  A*02:03:01-B*13:01:01-C*04:03:01-DRB1*12:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00545,266
 75  A*24:02-B*13:01-C*04:06-DRB1*12:02-DQB1*03:01  India South UCBB 0.005411,446
 76  A*11:01-B*13:01-C*04:03-DRB1*12:02  Poland DKMS 0.004820,653
 77  A*11:01-B*13:01-C*04:03-DRB1*12:02-DQB1*05:03  India South UCBB 0.004511,446
 78  A*01:01-B*13:01-C*04:06-DRB1*12:02-DQB1*03:01  India South UCBB 0.003411,446
 79  A*02:06-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India West UCBB 0.00315,829

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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