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 48 (from 48) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*48-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 5.187087
 2  A*24:02-B*48:01-DRB1*08:02-DQB1*04:02  USA Alaska Yupik 3.8000252
 3  A*24:02:01-B*48:01-C*08:01-DRB1*08:02:01-DQB1*04:02-DPB1*04:01  Mexico Chihuahua Tarahumara 3.400044
 4  A*02:01-B*48:01-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 1.7900105
 5  B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.7100234
 6  A*02-B*48-DRB1*08:02-DQB1*04:02  Bolivia Quechua 1.520069
 7  A*68-B*48-DRB1*08:02-DQB1*04:02  Bolivia Quechua 1.450069
 8  B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 9  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 10  A*03:01:01-B*48:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 11  A*68:01:01-B*48:01:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 12  A*68:01:01-B*48:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 13  A*68:03:01-B*48:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 14  A*02:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6410234
 15  A*02:06-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6410234
 16  A*68:01-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 17  B*48:01-C*08:03-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4300234
 18  A*02:01-B*48:01-C*08:03-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 19  A*02:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 20  A*02:06-B*48:03-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 21  A*31:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 22  B*48:01-C*08:03-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 23  B*48:03-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 24  A*11:03-B*48:04-C*08:01-DRB1*08:02-DQB1*04:02  India Northeast UCBB 0.1689296
 25  A*02:01-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 26  A*24:02-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 27  A*68:01-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 28  A*68:03-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 29  A*24:02-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.14871,463
 30  A*68:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 31  A*02:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 32  A*02:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.09051,463
 33  A*68:02-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 34  A*30:02-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 35  A*24:02-B*48:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 36  A*02:01-B*48:01-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 37  A*02:01-B*48:01-C*08:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 38  A*31:01-B*48:01-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 39  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*08:02:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 40  A*02:01-B*48:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.02301,999
 41  A*02:06-B*48:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.02301,999
 42  A*02:06-B*48:03-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 43  A*31:01-B*48:03-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 44  A*02:11-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  India Central UCBB 0.01194,204
 45  A*03:01-B*48:01-C*04:01-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.01101,772
 46  A*26:02-B*48:01-C*04:01-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.01101,772
 47  A*02:11-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  India West UCBB 0.00865,829
 48  A*01:01-B*48:04-C*01:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446

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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