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 63 (from 63) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 2  A*03:01-B*51:01-C*14:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 3  A*32:03-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 4  A*02:01-B*51:01-C*14:02-DRB1*01:01  Germany DKMS - France minority 0.24801,406
 5  A*25:01-B*51:01-C*14:02-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.15501,028
 6  A*02:01-B*51:01-C*14:02-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.14601,028
 7  A*24:02-B*51:01-C*14:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 8  A*02:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.14001,999
 9  A*02:01-B*51:01-C*14:02-DRB1*01:01  Germany DKMS - Croatia minority 0.12402,057
 10  A*01:01-B*51:01-C*14:02-DRB1*01:01  Germany DKMS - United Kingdom minority 0.09601,043
 11  A*02:01-B*51:01-C*14:02-DRB1*01:01  Germany DKMS - Austria minority 0.08801,698
 12  A*03:01-B*51:01-C*14:02-DRB1*01:01  Germany DKMS - Austria minority 0.08801,698
 13  A*02:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 14  A*24:02-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04801,772
 15  A*02:01-B*51:01-C*14:02-DRB1*01:01  Poland DKMS 0.047220,653
 16  A*01:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 17  A*03:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 18  A*32:01-B*51:01-C*14:02-DRB1*01:01  Germany DKMS - Portugal minority 0.04301,176
 19  A*32:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 20  A*24:02-B*51:01-C*14:02-DRB1*01:01  Germany DKMS - Romania minority 0.04101,234
 21  A*31:01-B*51:01-C*14:02-DRB1*01:01  Germany DKMS - Romania minority 0.04101,234
 22  A*02:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.03604,856
 23  A*03:01-B*51:01-C*14:02-DRB1*01:01  Germany DKMS - France minority 0.03601,406
 24  A*31:01-B*51:01-C*14:02-DRB1*01:01  Germany DKMS - Netherlands minority 0.03601,374
 25  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.035823,595
 26  A*02:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 27  A*03:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 28  A*03:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 29  A*31:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 30  A*24:02-B*51:01-C*14:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 31  A*31:01-B*51:01-C*14:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 32  A*02:01-B*51:01-C*14:02-DRB1*01:01  Germany DKMS - Greece minority 0.02701,894
 33  A*11:01-B*51:01-C*14:02-DRB1*01:01  Germany DKMS - Greece minority 0.02601,894
 34  A*02:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.02233,456,066
 35  A*24:02-B*51:01-C*14:02-DRB1*01:01  Japan pop 16 0.021018,604
 36  A*11:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 37  A*02:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  India East UCBB 0.01892,403
 38  A*02:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.01533,456,066
 39  A*32:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01504,856
 40  A*32:01-B*51:01-C*14:02-DRB1*01:01  Hong Kong Chinese BMDR 0.01327,595
 41  A*01:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  India Central UCBB 0.01194,204
 42  A*11:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  India Central UCBB 0.01194,204
 43  A*29:02-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 44  A*02:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  India North UCBB 0.00865,849
 45  A*02:01-B*51:01-C*14:02-DRB1*01:01-DQB1*03:01  India North UCBB 0.00855,849
 46  A*68:01-B*51:01-C*14:02-DRB1*01:01  Poland DKMS 0.005720,653
 47  A*02:01-B*51:01-C*14:02-DRB1*01:01  Japan pop 16 0.005018,604
 48  A*31:01-B*51:01-C*14:02-DRB1*01:01  Japan pop 16 0.005018,604
 49  A*01:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  India North UCBB 0.00495,849
 50  A*31:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 51  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*03:03:02  Poland BMR 0.004223,595
 52  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.003323,595
 53  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.002623,595
 54  A*11:01-B*51:01-C*14:02-DRB1*01:01  Poland DKMS 0.002620,653
 55  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002523,595
 56  A*26:08-B*51:01-C*14:02-DRB1*01:01  Poland DKMS 0.002420,653
 57  A*69:01-B*51:01-C*14:02-DRB1*01:01  Poland DKMS 0.002420,653
 58  A*26:01-B*51:01-C*14:02-DRB1*01:01  Poland DKMS 0.002220,653
 59  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*06:09:01  Poland BMR 0.002123,595
 60  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 61  A*68:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 62  A*30:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 63  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.001623,595

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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