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 61 (from 61) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01-B*39:01-C*15:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 2  A*02:01:01-B*39:01:01-C*03:04:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734
 3  A*02:01-B*39:01-C*07:02-DRB1*04:05  Hong Kong Chinese BMDR 0.06087,595
 4  A*02:01-B*39:01-C*07:02-DRB1*04:05  Japan pop 16 0.016018,604
 5  A*02:01-B*39:01-C*08:01-DRB1*04:05  Hong Kong Chinese BMDR 0.00377,595
 6  A*02:01-B*39:01-C*12:03-DRB1*04:05  Germany DKMS - Spain minority 0.04501,107
 7  A*02:01-B*39:01-DRB1*04:05  Hong Kong Chinese cord blood registry 0.01123,892
 8  A*02:01-B*39:01-DRB1*04:05-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 9  A*02:03:01-B*39:01:01-C*03:03:01-DRB1*04:05:01-DQB1*04:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 10  A*02:03:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00845,266
 11  A*02:03:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  India Karnataka Kannada Speaking 0.5750174
 12  A*02:03-B*39:01-C*03:03-DRB1*04:05-DQB1*04:01  India South UCBB 0.069811,446
 13  A*02:03-B*39:01-C*07:02-DRB1*04:05  Hong Kong Chinese BMDR 0.02997,595
 14  A*02:03-B*39:01-C*07:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.026211,446
 15  A*02:03-B*39:01-C*07:02-DRB1*04:05-DQB1*04:01  India Central UCBB 0.03574,204
 16  A*02:03-B*39:01-C*07:02-DRB1*04:05-DQB1*04:01  India East UCBB 0.04162,403
 17  A*02:06-B*39:01-C*03:04-DRB1*04:05  Japan pop 16 0.010018,604
 18  A*02:06-B*39:01-C*07:02-DRB1*04:05  Germany DKMS - China minority 0.03901,282
 19  A*02:06-B*39:01-C*07:02-DRB1*04:05  Japan pop 16 0.057018,604
 20  A*02:06-B*39:01-C*07:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 21  A*02:06-B*39:01-C*07:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 22  A*02:06-B*39:01-C*07:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 23  A*02:06-B*39:01-DRB1*04:05  Hong Kong Chinese cord blood registry 0.02573,892
 24  A*02:11-B*39:01-C*07:02-DRB1*04:05-DQB1*04:01  India West UCBB 0.00865,829
 25  A*03:01-B*39:01-C*07:02-DRB1*04:05-DQB1*04:01  India Central UCBB 0.01194,204
 26  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00895,266
 27  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00515,266
 28  A*11:01-B*39:01-C*03:03-DRB1*04:05-DQB1*04:01  India South UCBB 0.009111,446
 29  A*11:01-B*39:01-C*07:02-DRB1*04:05  Hong Kong Chinese BMDR 0.02407,595
 30  A*11:01-B*39:01-C*07:02-DRB1*04:05  Japan pop 16 0.083018,604
 31  A*11:01-B*39:01-C*07:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 32  A*11:01-B*39:01-C*07:02-DRB1*04:05-DQB1*04:01  India East UCBB 0.02082,403
 33  A*11:01-B*39:01-C*12:03-DRB1*04:05-DQB1*04:01  India South UCBB 0.003511,446
 34  A*11:02:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01655,266
 35  A*11:02:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 36  A*11:03-B*39:01-C*07:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 37  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 38  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.04541,734
 39  A*24:02-B*39:01-C*07:02-DRB1*04:05  Japan pop 16 0.031018,604
 40  A*24:02-B*39:01-C*07:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 41  A*24:02-B*39:01-C*12:03-DRB1*04:05  Japan pop 16 0.005018,604
 42  A*24:02-B*39:01-C*12:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 43  A*24:02-B*39:01-DRB1*04:05  Hong Kong Chinese cord blood registry 0.02873,892
 44  A*24:02-B*39:01-DRB1*04:05  Israel USSR Jews 0.001145,681
 45  A*26:01-B*39:01-C*07:02-DRB1*04:05  Japan pop 16 0.005018,604
 46  A*26:03-B*39:01-C*07:02-DRB1*04:05  Japan pop 16 0.005018,604
 47  A*31:01:02-B*39:01:01-C*07:02:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00505,266
 48  A*31:01-B*39:01-C*07:02-DRB1*04:05  Japan pop 16 0.010018,604
 49  A*31:08-B*39:01-DRB1*04:05  Israel Argentina Jews 0.01304,307
 50  A*32:01-B*39:01-C*03:03-DRB1*04:05-DQB1*04:01  India South UCBB 0.008411,446
 51  A*32:01-B*39:01-DRB1*04:05  Israel Iran Jews 0.00618,153
 52  A*32:67-B*39:01:01-C*08:01:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734
 53  A*33:03:01-B*39:01:01-C*04:03:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00585,266
 54  A*33:03:01-B*39:01:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 55  A*33:03-B*39:01-C*07:02-DRB1*04:05-DQB1*04:01  India West UCBB 0.01725,829
 56  A*33:03-B*39:01-C*07:02-DRB1*04:05-DQB1*04:01  India East UCBB 0.02082,403
 57  A*34:02-B*39:01-DRB1*04:05  Israel Arab pop 2 0.004112,301
 58  A*68:01:02-B*39:01:01-C*03:03:01-DRB1*04:05:01-DQB1*04:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 59  A*68:01:02-B*39:01:01-C*12:03:01-DRB1*04:05:01-DQB1*03:02:02  Poland BMR 0.002123,595
 60  A*69:01-B*39:01-DRB1*04:05  Israel Arab pop 2 0.004112,301
 61  B*39:01-DRB1*04:05:01  Taiwan Ami 1.200098

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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