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 100 (from 108) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01-B*48:01-DRB1*14:06-DQB1*03:01  Chile Mapuche 0.770066
 2  A*01-B*48-DRB1*14:06-DQB1*03:01  Bolivia Quechua 0.720069
 3  A*01-B*48-DRB1*14-DQB1*03:01  Mexico Baja California, Tijuana 4.000025
 4  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*14:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 5  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*14:03:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 6  A*02:01-B*48:01-C*03:03-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 7  A*02:01-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 8  A*02:01-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  USA NMDP Alaska Native or Aleut 0.30441,376
 9  A*02:01-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 10  A*02:01-B*48:01-DRB1*14:02-DQB1*03:01  Peru Titikaka Lake Uro 3.6000105
 11  A*02:01-B*48:01-DRB1*14:02-DQB1*03:01  Peru Titikaka Lake Uros 3.5800105
 12  A*02:06-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 13  A*02:06-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  USA NMDP Alaska Native or Aleut 0.18821,376
 14  A*02:06-B*48:01-C*08:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 15  A*02:06-B*48:01-C*08:01-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 16  A*02:06-B*48:03-C*08:01-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPB1*11:01  Nicaragua Managua 0.2165339
 17  A*02:13-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 18  A*02-B*48-DRB1*14:02-DQB1*03:01  Bolivia La Paz Aymaras 2.476087
 19  A*02-B*48-DRB1*14-DQB1*03:01  Ecuador Amazonia Mixed Ancestry 1.282139
 20  A*02-B*48-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 1.0922824
 21  A*02-B*48-DRB1*14-DQB1*03:01  Ecuador Coast Mixed Ancestry 0.4202238
 22  A*02-B*48-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.89511,173
 23  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Sonora Rural 0.2538197
 24  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Chihuahua Rural 0.4184236
 25  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Durango Rural 0.1529326
 26  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Coahuila Rural 0.2294216
 27  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Zacatecas Rural 0.3717266
 28  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Michoacan Rural 0.4298348
 29  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Veracruz Rural 0.2773539
 30  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 0.3289150
 31  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Tlaxcala Rural 0.6024830
 32  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Nuevo Leon Rural 0.2273439
 33  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Puebla Rural 0.5396833
 34  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Oaxaca Rural 0.4107485
 35  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Guerrero state 0.3472144
 36  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Puebla, Puebla city 0.30061,994
 37  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Chiapas Rural 0.4132121
 38  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Mexico City North 0.7304751
 39  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Veracruz, Xalapa 0.8021187
 40  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Veracruz, Orizaba 1.666760
 41  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Aguascalientes state 0.526395
 42  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 0.4425226
 43  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Michoacan, Morelia 0.6623150
 44  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.16751,189
 45  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Nayarit, Tepic 1.030997
 46  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 47  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Coahuila, Torreon 0.2500396
 48  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 0.9259106
 49  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Baja California, La Paz 0.666775
 50  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Baja Californa, Mexicali 2.0000100
 51  A*03:01:02-B*48:01:01-C*08:01:01-DRB1*14:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 52  A*03-B*48-DRB1*14:02-DQB1*03:01  Bolivia La Paz Aymaras 0.575087
 53  A*11:01-B*48:01-C*08:03-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 54  A*24:02-B*48:01-C*03:03-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 55  A*24:02-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.07561,463
 56  A*24:02-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  USA NMDP Alaska Native or Aleut 1.35151,376
 57  A*24:02-B*48:01-C*08:03-DRB1*14:02-DQB1*03:01  USA NMDP Alaska Native or Aleut 0.18491,376
 58  A*24:02-B*48:01-C*08:03-DRB1*14:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 59  A*24:02-B*48:01-DRB1*14:02-DQB1*03:01  USA Alaska Yupik 1.9000252
 60  A*24:02-B*48:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 61  A*24:02-B*48:02-C*04:01-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.17091,463
 62  A*24:02-B*48:03-C*08:01-DRB1*14:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 63  A*24-B*48-DRB1*14:02-DQB1*03:01  Bolivia Quechua 1.450069
 64  A*24-B*48-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.4248824
 65  A*24-B*48-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.38361,173
 66  A*24-B*48-DRB1*14-DQB1*03:01  Ecuador Coast Mixed Ancestry 0.2101238
 67  A*24-B*48-DRB1*14-DQB1*03:01  Mexico Michoacan Rural 0.1433348
 68  A*24-B*48-DRB1*14-DQB1*03:01  Mexico Nuevo Leon Rural 0.2273439
 69  A*24-B*48-DRB1*14-DQB1*03:01  Mexico Tlaxcala Rural 0.0602830
 70  A*24-B*48-DRB1*14-DQB1*03:01  Mexico Puebla, Puebla city 0.20041,994
 71  A*24-B*48-DRB1*14-DQB1*03:01  Mexico Oaxaca Rural 0.3080485
 72  A*24-B*48-DRB1*14-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 73  A*24-B*48-DRB1*14-DQB1*03:01  Mexico Guanajuato, Leon 0.641078
 74  A*24-B*48-DRB1*14-DQB1*03:01  Mexico Mexico City East 0.625079
 75  A*24-B*48-DRB1*14-DQB1*03:01  Mexico Hidalgo, Pachuca 1.219541
 76  A*31:01-B*48:01-C*08:03-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 77  A*31:01-B*48:01-C*08:03-DRB1*14:02-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 78  A*31:01-B*48:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.3030330
 79  A*31:01-B*48:13-C*03:04-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 80  A*31-B*48-DRB1*14-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 1.9912226
 81  A*31-B*48-DRB1*14-DQB1*03:01  Mexico Jalisco, Tlaquepaque 1.282139
 82  A*31-B*48-DRB1*14-DQB1*03:01  Mexico Oaxaca Rural 0.3080485
 83  A*31-B*48-DRB1*14-DQB1*03:01  Mexico Puebla Rural 0.1799833
 84  A*31-B*48-DRB1*14-DQB1*03:01  Mexico Puebla, Puebla city 0.12531,994
 85  A*31-B*48-DRB1*14-DQB1*03:01  Mexico Veracruz, Coatzacoalcos 0.892955
 86  A*31-B*48-DRB1*14-DQB1*03:01  Mexico Tamaulipas, Ciudad Victoria 2.173923
 87  A*31-B*48-DRB1*14-DQB1*03:01  Mexico Guanajuato Rural 0.3067162
 88  A*31-B*48-DRB1*14-DQB1*03:01  Mexico Zacatecas Rural 0.1859266
 89  A*68:01:01-B*48:01:01-C*08:01:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 90  A*68-B*48-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.12791,173
 91  A*68-B*48-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.1214824
 92  A*68-B*48-DRB1*14-DQB1*03:01  Ecuador Coast Mixed Ancestry 0.2101238
 93  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Chihuahua Rural 0.4184236
 94  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Michoacan Rural 0.1433348
 95  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Zacatecas Rural 0.1859266
 96  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Nuevo Leon Rural 0.2273439
 97  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Tlaxcala Rural 0.1205830
 98  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Mexico City North 0.1328751
 99  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Mexico City East 1.250079
 100  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Yucatan, Merida 0.2564192

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).


Displaying 1 to 100 (from 108) records   Pages: 1 2 of 2  


   

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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