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 75 (from 75) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*38-C*07-DRB1*15  Myanmar Rakhine 3.125048
 2  A*02-B*38-C*07-DRB1*15  Myanmar Mon 1.562064
 3  A*02:06-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 0.605150,614
 4  A*02:03-B*38:02-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.36757,595
 5  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India East UCBB 0.31202,403
 6  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.30655,266
 7  A*02:02-B*38:02-C*07:02-DRB1*15:04-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 8  A*02:03-B*38:02-C*07:02-DRB1*15:19  Germany DKMS - China minority 0.23401,282
 9  A*02:03-B*38:02-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.19717,595
 10  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11095,266
 11  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.10801,772
 12  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.1052951
 13  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.10415,266
 14  A*02:06-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.08901,772
 15  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India West UCBB 0.08585,829
 16  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India Central UCBB 0.08334,204
 17  A*02:03-B*38:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 18  A*02:16-B*38:02-C*07:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 19  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India South UCBB 0.069811,446
 20  A*02:01-B*38:02-C*07:02-DRB1*15:01  Germany DKMS - China minority 0.06501,282
 21  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.06272,492
 22  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  China Zhejiang Han 0.05771,734
 23  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DQB1*05:02:01  China Zhejiang Han 0.05771,734
 24  A*02:07:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 25  A*02:02-B*38:02-C*07:02-DRB1*15:02-DQB1*06:10  Malaysia Peninsular Malay 0.0526951
 26  A*02:03-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India Central UCBB 0.04764,204
 27  A*02:01-B*38:02-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.04617,595
 28  A*02:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0452951
 29  A*02:07-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 30  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.04185,266
 31  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03895,266
 32  A*02:03-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India West UCBB 0.03435,829
 33  A*02:06:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03425,266
 34  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.033611,446
 35  A*02-B*38-C*07-DRB1*15  Myanmar Bamar 0.032646
 36  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.03085,266
 37  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 38  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 39  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 40  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02785,266
 41  A*02:03-B*38:02-C*07:02-DRB1*15:02  Japan pop 16 0.026018,604
 42  A*02:03-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.02575,829
 43  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India North UCBB 0.02565,849
 44  A*02:01:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02515,266
 45  A*02:01:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02255,266
 46  A*02:03-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.02242,492
 47  A*02:06-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India South UCBB 0.021811,446
 48  A*02-B*38-C*07-DRB1*15-DQB1*05-DPB1*04  Myanmar Bamar 0.021746
 49  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02125,266
 50  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  India East UCBB 0.02082,403
 51  A*02:03-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India East UCBB 0.02082,403
 52  A*02:03-B*38:01-C*07:02-DRB1*15:02-DQB1*05:01  India Tamil Nadu 0.02012,492
 53  A*02:03-B*38:02-C*07:02-DRB1*15:07-DQB1*06:01  India Tamil Nadu 0.02012,492
 54  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.01762,492
 55  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  India West UCBB 0.01725,829
 56  A*02:03-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India North UCBB 0.01715,849
 57  A*02:01-B*38:02-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.01457,595
 58  A*02:03-B*38:02-C*07:02-DRB1*15:01-DQB1*05:03  India Central UCBB 0.01194,204
 59  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  India Central UCBB 0.01194,204
 60  A*02-B*38-C*07-DRB1*15-DQB1*06-DPB1*09  Myanmar Bamar 0.010946
 61  A*02:03-B*38:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.01055,829
 62  A*02:11-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India Tamil Nadu 0.01002,492
 63  A*02:03-B*38:02-C*07:02-DRB1*15:01  Japan pop 16 0.010018,604
 64  A*02:06-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India West UCBB 0.00865,829
 65  A*02:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India South UCBB 0.008511,446
 66  A*02:01-B*38:02-C*07:02-DRB1*15:06-DQB1*05:02  India North UCBB 0.00855,849
 67  A*02:06-B*38:02-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.00697,595
 68  A*02:01-B*38:02-C*07:02-DRB1*15:01  Japan pop 16 0.005018,604
 69  A*02:01-B*38:02-C*07:02-DRB1*15:02  Japan pop 16 0.005018,604
 70  A*02:03-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004911,446
 71  A*02:01-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 72  A*02:05-B*38:02-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 73  A*02:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India South UCBB 0.001611,446
 74  A*02:06-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP European Caucasian 0.00004021,242,890
 75  A*02:06-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP African American pop 2 0.0000300416,581

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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