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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Displaying 1 to 61 (from 61) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*31:01-B*39:01-C*08:03-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 5.9180150
 2  A*02-B*39-DRB1*16:02-DQA1*05-DQB1*03:01  Mexico Mazatecan 3.300089
 3  A*01:01:01-B*39:09:01-C*01:02:01-DRB1*16:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Barra Mansa Rio State Black 2.381073
 4  A*24:02-B*39:02-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 2.127747
 5  A*31:01-B*39:01-C*08:01-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 1.7486150
 6  A*31:01-B*39:05-C*08:03-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 1.7486150
 7  A*31:01-B*39:05-C*08:01-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 1.5847150
 8  A*02:01-B*39:09-DRB1*16:02-DQB1*03:01  Chile Mapuche 1.540066
 9  A*24:02-B*39:01-DRB1*16:02-DQB1*03:01  Chile Mapuche 1.540066
 10  A*68:01-B*39:09-DRB1*16:02-DQB1*03:01  Chile Mapuche 1.540066
 11  A*02:01-B*39:01-DRB1*16:02:01-DQB1*03:01  USA South Dakota Lakota Sioux 1.4000302
 12  A*68-B*39-DRB1*16:02-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 1.240053
 13  A*02:04-B*39:05-C*07:02-DRB1*16:02-DQA1*05:01-DQB1*03:01-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 1.200073
 14  A*68-B*39-DRB1*16:02-DQB1*03:01  Colombia San Basilio de Palenque 1.191042
 15  A*02-B*39-DRB1*16:02-DQB1*03:01  Colombia Wayu from Guajira Peninsula 1.040048
 16  A*68-B*39-DRB1*16:02-DQB1*03:01  Colombia Wayu from Guajira Peninsula 1.040048
 17  A*02:01-B*39:06-DRB1*16:02-DQB1*03:01  Chile Mapuche 0.770066
 18  A*68:16-B*39:09-DRB1*16:02-DQB1*03:01  Chile Mapuche 0.770066
 19  A*68:03-B*39:05-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 20  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*16:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 21  A*68:01:01-B*39:01:01-C*07:01:01-DRB1*16:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 22  A*68:01-B*39:05-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.6881218
 23  B*39:05-C*07:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.6400234
 24  A*24:02-B*39:01-DRB1*16:02-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 25  A*24:02-B*39:02-DRB1*16:02-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 26  A*36-B*39:01-DRB1*16:02-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 27  A*68:03-B*39:05-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.4587218
 28  B*39:02-C*07:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4300234
 29  A*02:01-B*39:05-C*07:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4274234
 30  A*68:01-B*39:02-C*07:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4274234
 31  A*02-B*39-DRB1*16:02-DQB1*03:01  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 32  A*24:02-B*39:05-C*07:01-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 0.3333150
 33  A*68:01-B*39:01-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 0.3333150
 34  A*68:01-B*39:01-C*08:03-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 0.3333150
 35  A*24:02-B*39:05-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 36  A*31:01-B*39:05-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 37  A*02:11-B*39:05-C*07:02-DRB1*16:02-DQB1*03:01-DPB1*14:01  Panama 0.1900462
 38  A*02:01-B*39:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 39  A*02:01-B*39:06-DRB1*16:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 40  A*02:01-B*39:11-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.13671,463
 41  A*02:01-B*39:05-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.11501,463
 42  A*31:01-B*39:05-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.10251,463
 43  A*68:01-B*39:11-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.10251,463
 44  A*68:01-B*39:19-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.10251,463
 45  A*24:02-B*39:05-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.07831,463
 46  A*02-B*39-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 47  A*24-B*39-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 48  A*24:02-B*39:06-C*07:02-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.06701,999
 49  A*01:01-B*39:01-C*07:02-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 50  A*02:01-B*39:01-C*07:02-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 51  A*24:02-B*39:13-C*07:02-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 52  A*31:01-B*39:11-C*07:02-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 53  A*03:01-B*39:05-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03561,463
 54  A*01:01-B*39:05-C*03:04-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 55  A*02:01-B*39:06-C*04:01-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 56  A*02:01-B*39:08-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 57  A*02:04-B*39:02-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 58  A*24:02-B*39:05-C*03:05-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 59  A*24:02-B*39:06-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 60  A*68:01-B*39:09-C*07:02-DRB1*16:02-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 61  A*33:03-B*39:01-C*12:04-DRB1*16:02-DQB1*03:01  India East UCBB 0.02082,403

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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