Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 57 (from 57) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 2  B*51:01:01-C*14:02:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 3  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 4  A*24:02-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 5  B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 6  A*74:01:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 7  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.11531,734
 8  A*02:03-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.1052951
 9  A*02:01-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.08901,772
 10  A*02:01-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.0789951
 11  A*31:01-B*51:01-C*14:02-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 12  A*11:01-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 13  A*11:01-B*51:01-C*14:02-DRB1*12:02  Hong Kong Chinese BMDR 0.06577,595
 14  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 15  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.05761,734
 16  A*02:01-B*51:01-C*14:02-DRB1*12:02  Hong Kong Chinese BMDR 0.05507,595
 17  A*11:01-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 18  A*24:07-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 19  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04925,266
 20  A*24:02-B*51:01-C*14:02-DRB1*12:02  Hong Kong Chinese BMDR 0.04867,595
 21  A*69:01-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 22  A*24:02-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.04501,772
 23  A*01:01-B*51:01-C*14:02-DRB1*12:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 24  A*02:07:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.03895,266
 25  A*02:06:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.03331,734
 26  A*24:02-B*51:01-C*14:02-DRB1*12:02  Japan pop 16 0.031018,604
 27  A*31:01-B*51:01-C*14:02-DRB1*12:02  Japan pop 16 0.031018,604
 28  A*02:06-B*51:01-C*14:02-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 29  A*31:01-B*51:01-C*14:02-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 30  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.02945,266
 31  A*26:01-B*51:01-C*14:02-DRB1*12:02  Hong Kong Chinese BMDR 0.02947,595
 32  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 33  A*11:01:01-B*51:01:02-C*14:02:01-DRB1*12:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 34  A*33:03:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02225,266
 35  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*12:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.02145,266
 36  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01855,266
 37  A*11:01-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  India North UCBB 0.01715,849
 38  A*11:01:01-B*51:01:02-C*14:02:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01695,266
 39  A*01:01-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.01652,492
 40  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01515,266
 41  A*31:01-B*51:01-C*14:02-DRB1*12:02  Hong Kong Chinese BMDR 0.01347,595
 42  A*31:01-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  India West UCBB 0.01245,829
 43  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01205,266
 44  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01175,266
 45  A*02:01-B*51:01-C*14:02-DRB1*12:02  Japan pop 16 0.010018,604
 46  A*02:01:01-B*51:01:02-C*14:02:01-DRB1*12:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 47  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00875,266
 48  A*02:11-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.008711,446
 49  A*24:02:01-B*51:01:02-C*14:02:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00865,266
 50  A*24:02-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  India North UCBB 0.00855,849
 51  A*11:01:01-B*51:01:02-C*14:02:01-DRB1*12:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00615,266
 52  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DPB1*19:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00605,266
 53  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*12:02:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00595,266
 54  A*02:06-B*51:01-C*14:02-DRB1*12:02  Japan pop 16 0.005018,604
 55  A*26:03-B*51:01-C*14:02-DRB1*12:02  Japan pop 16 0.005018,604
 56  A*03:01-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.004211,446
 57  A*02:06-B*51:01-C*14:02-DRB1*12:02  Hong Kong Chinese BMDR 0.00387,595

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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