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 45 (from 45) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  Italy pop 5 0.5800975
 2  A*02:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  Italy pop 5 0.4400975
 3  A*02:01-B*35:01-C*04:01-DRB1*14:54  Italy pop 5 0.4000975
 4  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 5  A*11:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.37604,335
 6  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 7  A*11:01-B*35:01-C*04:01-DRB1*14:54  Italy pop 5 0.2600975
 8  A*03:01-B*35:01-C*04:01-DRB1*14:54  Italy pop 5 0.2000975
 9  A*24:02-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India Northeast UCBB 0.1689296
 10  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.141523,595
 11  A*30:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  Italy pop 5 0.1400975
 12  A*30:01-B*35:01-C*04:01-DRB1*14:54  Italy pop 5 0.1000975
 13  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*14:54-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.06961,510
 14  A*11:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India Central UCBB 0.04764,204
 15  A*01:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India Central UCBB 0.04604,204
 16  A*11:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India East UCBB 0.04372,403
 17  A*02:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 18  A*03:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 19  A*11:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*14:54-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 20  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.031823,595
 21  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.030123,595
 22  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 23  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.026223,595
 24  A*11:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.02605,849
 25  A*33:03-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.02465,829
 26  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.023223,595
 27  A*02:06-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.01705,849
 28  A*02:11-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01194,204
 29  A*24:02-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01194,204
 30  A*03:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.01185,849
 31  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.011523,595
 32  A*24:02-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.01135,829
 33  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.010823,595
 34  A*31:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.00865,829
 35  A*32:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.00865,829
 36  A*68:01:02-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.007823,595
 37  A*33:03-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.00745,849
 38  A*24:02-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India South UCBB 0.006811,446
 39  A*24:02-B*35:01-C*04:01-DRB1*14:54  Japan pop 16 0.005018,604
 40  A*23:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.004323,595
 41  A*01:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.00435,829
 42  A*31:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India South UCBB 0.004311,446
 43  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 44  A*02:06:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 45  A*23:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.0020405

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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