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 55 (from 55) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*13-C*08  Malaysia Perak Rawa 4.400023
 2  A*29:11-B*13:02:01-C*08:02:01-DRB1*11:01:02-DQB1*05:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 3  A*30:02-B*13:02-C*08:04-DRB1*08:04  Brazil Vale do Ribeira Quilombos 0.6944144
 4  A*30:02:01-B*13:02:01-C*08:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:19  Brazil Rio de Janeiro Parda 0.5882170
 5  A*68:02:01-B*13:02:01-C*08:04:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 6  A*68:24-B*13:02:01-C*08:02:01:01-DRB1*01:02:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 7  A*02:02-B*13:02:01-C*08:04:01-DRB1*13:04  Nicaragua Mestizo (G) 0.3226155
 8  A*03:01-B*13:03-C*08:04-DRB1*07:01-DQA1*01:02-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 9  A*03:01:01-B*13:02:01-C*08:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 10  A*02:06:01-B*13:01:01-C*08:01:01-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 11  A*02:02-B*13:02-C*08:02-DRB1*09:01-DQB1*02:02-DPB1*46:01  Panama 0.1900462
 12  A*02:02-B*13:02-C*08:04-DRB1*09:01-DQB1*02:02-DPB1*03:01  Panama 0.1900462
 13  B*13:02-C*08:04  USA African American pop 4 0.12502,411
 14  A*68:01-B*13:01-C*08:01-DRB1*13:01-DQA1*01:02-DQB1*05:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 15  B*13:02-C*08:02  Italy pop 5 0.0700975
 16  A*02:06-B*13:01-C*08:01-DRB1*09:01-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 17  A*02:22-B*13:02-C*08:01-DRB1*07:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 18  A*03:01-B*13:01-C*08:01-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 19  A*11:13-B*13:01-C*08:01-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 20  A*34:05-B*13:01-C*08:01-DRB1*07:01-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 21  A*24:02-B*13:01-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 22  A*33:01-B*13:02-C*08:04-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.04402,411
 23  A*24:20-B*13:01-C*08:01-DRB1*12:02  Germany DKMS - China minority 0.03901,282
 24  A*02:02-B*13:02-C*08:04-DRB1*09:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 25  A*02:02-B*13:02-C*08:04-DRB1*03:01  Germany DKMS - Austria minority 0.02901,698
 26  A*32:01-B*13:02-C*08:02-DRB1*07:01  Germany DKMS - Austria minority 0.02901,698
 27  B*13:01-C*08:01  USA Asian pop 2 0.02901,772
 28  A*02:06:01-B*13:01:01-C*08:01:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 29  A*11:01:01-B*13:01:01-C*08:01:01-DRB1*15:01:01-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 30  A*11:01:01-B*13:01:01-C*08:22:01-DRB1*15:01:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 31  B*13:02-C*08:04  USA Hispanic pop 2 0.02501,999
 32  A*02:06-B*13:01-C*08:01-DRB1*14:05  Hong Kong Chinese BMDR 0.01967,595
 33  A*11:01-B*13:01-C*08:01-DRB1*04:03  Hong Kong Chinese BMDR 0.01557,595
 34  A*11:01-B*13:01-C*08:01-DRB1*15:01  Hong Kong Chinese BMDR 0.01307,595
 35  A*02:01-B*13:01-C*08:01-DRB1*12:02  Hong Kong Chinese BMDR 0.01287,595
 36  A*02:04-B*13:02-C*08:04-DRB1*04:11-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 37  A*02:04-B*13:02-C*08:04-DRB1*13:02-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 38  A*30:01-B*13:02-C*08:04-DRB1*04:11-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 39  A*30:01-B*13:02-C*08:04-DRB1*13:02-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 40  A*11:01:01-B*13:01:01-C*08:01:01-DRB1*13:07:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 41  A*11:01:01-B*13:01:01-C*08:01:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 42  A*02:06-B*13:01-C*08:01-DRB1*15:04-DQB1*05:02  India West UCBB 0.00865,829
 43  A*11:01-B*13:02-C*08:02-DRB1*13:02-DQB1*06:04  India West UCBB 0.00865,829
 44  A*02:06:01-B*13:01:01-C*08:01:01-DRB1*12:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00765,266
 45  A*02:03:01-B*13:01:01-C*08:01:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00675,266
 46  A*24:02-B*13:01-C*08:01-DRB1*15:01  Hong Kong Chinese BMDR 0.00677,595
 47  A*02:03-B*13:01-C*08:01-DRB1*15:01  Hong Kong Chinese BMDR 0.00667,595
 48  A*02:01-B*13:01-C*08:01-DRB1*04:03  Hong Kong Chinese BMDR 0.00637,595
 49  A*02:06:01-B*13:01:01-C*08:01:01-DRB1*14:05:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00605,266
 50  A*02:06-B*13:01-C*08:01-DRB1*12:02  Japan pop 16 0.005018,604
 51  A*02:06-B*13:01-C*08:01-DRB1*07:01-DQB1*03:03  India South UCBB 0.004411,446
 52  A*24:03-B*13:01-C*08:01-DRB1*04:03  Hong Kong Chinese BMDR 0.00427,595
 53  A*01:01-B*13:02-C*08:02-DRB1*07:01  Poland DKMS 0.003320,653
 54  A*01:01-B*13:02-C*08:02-DRB1*04:04  Poland DKMS 0.001420,653
 55  B*13:01-C*08:01  China Hubei Han 0.00103,732

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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