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 : 
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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*02:01-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uro 13.5000105
 2  A*02:01-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 13.4500105
 3  A*02:01:01/02:01:09-B*35:01/35:02/35:03-C*03:04-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 3.400044
 4  A*02:01-B*35:01-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uro 3.3000105
 5  A*02:01-B*35:01-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 3.2700105
 6  A*02:01-B*35:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 2.381084
 7  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 2.0979143
 8  A*02:01-B*35:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 1.9697330
 9  A*02:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.5000234
 10  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 11  A*02:01-B*35:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 12  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.8600234
 13  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP Mexican or Chicano 0.8120261,235
 14  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Tixcacaltuyub Maya 0.746367
 15  A*02:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 16  A*02:01:01-B*35:01:01-C*03:02:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 17  A*02:01:01-B*35:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 18  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*04:02  Nicaragua Managua 0.6494339
 19  A*02:01-B*35:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.6061330
 20  A*02:01-B*35:02-DRB1*08:02-DQB1*04:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 21  A*02:01-B*35:06-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.4800105
 22  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP Hispanic South or Central American 0.4762146,714
 23  A*02:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.46301,999
 24  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.4587218
 25  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 26  A*02:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 27  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.37401,999
 28  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 29  A*02:01-B*35:16-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 30  A*02:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 31  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 32  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  USA NMDP American Indian South or Central America 0.22545,926
 33  A*02:01-B*35:12-C*07:01-DRB1*08:02-DQB1*04:02-DPB1*105:01  Panama 0.1900462
 34  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.18701,999
 35  A*02:01-B*35:03-C*04:25-DRB1*08:02-DQB1*04:02  Malaysia Peninsular Indian 0.1845271
 36  A*02:01-B*35:03-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 37  A*02:01-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  Italy pop 5 0.1400975
 38  A*02:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.13501,463
 39  A*02:01-B*35:20-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.10251,463
 40  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP Caribean Hispanic 0.0744115,374
 41  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 42  A*02:01-B*35:01-C*03:04-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 43  A*02:01-B*35:01-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 44  A*02:01-B*35:01-C*08:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 45  A*02:01-B*35:01-C*08:01-DRB1*08:02-DQA1*06:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 46  A*02:01-B*35:12-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.02301,999
 47  A*02:01-B*35:30-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.01951,463
 48  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  India South UCBB 0.017011,446
 49  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP North American Amerindian 0.016535,791
 50  A*02:01-B*35:01-C*03:03-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.01101,772
 51  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP Caribean Black 0.004533,328
 52  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP Filipino 0.004050,614
 53  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP European Caucasian 0.00291,242,890
 54  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP Middle Eastern or North Coast of Africa 0.002270,890
 55  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP African American pop 2 0.0011416,581

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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