Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 100 (from 183) records   Pages: 1 2 of 2  

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-DQB1*03:01  Mexico Oaxaca, Oaxaca city 3.9735151
 3  A*02-B*39-DRB1*16:02-DQA1*05-DQB1*03:01  Mexico Mazatecan 3.300089
 4  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Coatzacoalcos 2.678655
 5  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Jalisco, Tlaquepaque 2.564139
 6  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Puebla Mestizo 2.500099
 7  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Oaxaca Rural 2.4641485
 8  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
 9  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Guanajuato, Guanajuato city 2.272722
 10  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
 11  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Cordoba 1.785756
 12  A*31:01-B*39:01-C*08:01-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 1.7486150
 13  A*31:01-B*39:05-C*08:03-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 1.7486150
 14  A*24-B*39-DRB1*16-DQB1*03:01  Mexico San Luis Potosi Rural 1.724187
 15  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Orizaba 1.666760
 16  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 1.6575181
 17  A*31:01-B*39:05-C*08:01-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 1.5847150
 18  A*02:01-B*39:09-DRB1*16:02-DQB1*03:01  Chile Mapuche 1.540066
 19  A*24:02-B*39:01-DRB1*16:02-DQB1*03:01  Chile Mapuche 1.540066
 20  A*68:01-B*39:09-DRB1*16:02-DQB1*03:01  Chile Mapuche 1.540066
 21  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Sonora, Hermosillo 1.515299
 22  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City West 1.470633
 23  A*02:01-B*39:01-DRB1*16:02:01-DQB1*03:01  USA South Dakota Lakota Sioux 1.4000302
 24  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Guerrero state 1.3889144
 25  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Coahuila, Saltillo 1.369972
 26  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Nuevo Leon Rural 1.3636439
 27  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Xalapa 1.3369187
 28  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Puebla, Puebla city 1.32771,994
 29  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 1.3274226
 30  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 1.3158150
 31  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City Center 1.2987152
 32  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Jalisco, Tlaquepaque 1.282139
 33  A*24-B*39-DRB1*16-DQB1*03:01  Ecuador Amazonia Mixed Ancestry 1.282139
 34  A*68-B*39-DRB1*16:02-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 1.240053
 35  A*31-B*39-DRB1*16-DQB1*03:01  Mexico Hidalgo, Pachuca 1.219541
 36  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
 37  A*68-B*39-DRB1*16:02-DQB1*03:01  Colombia San Basilio de Palenque 1.191042
 38  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Veracruz city 1.1628171
 39  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Queretaro, Queretaro city 1.111145
 40  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Campeche Rural 1.063847
 41  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Aguascalientes state 1.052695
 42  A*02-B*39-DRB1*16:02-DQB1*03:01  Colombia Wayu from Guajira Peninsula 1.040048
 43  A*68-B*39-DRB1*16:02-DQB1*03:01  Colombia Wayu from Guajira Peninsula 1.040048
 44  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Quintana Roo Rural 1.000050
 45  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Baja California Rural 1.000050
 46  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Oaxaca, Oaxaca city 0.9934151
 47  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 0.9868150
 48  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Sinaloa, Culiacán 0.9709103
 49  A*31-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City South 0.961552
 50  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Puebla Rural 0.9592833
 51  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Coatzacoalcos 0.892955
 52  A*29-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Coatzacoalcos 0.892955
 53  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Tlaxcala Rural 0.8434830
 54  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz Rural 0.8318539
 55  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz Rural 0.8318539
 56  A*31-B*39-DRB1*16-DQB1*03:01  Mexico Chiapas Rural 0.8264121
 57  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Nuevo Leon Rural 0.7955439
 58  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Tamaulipas Rural 0.7937125
 59  A*02:01-B*39:06-DRB1*16:02-DQB1*03:01  Chile Mapuche 0.770066
 60  A*68:16-B*39:09-DRB1*16:02-DQB1*03:01  Chile Mapuche 0.770066
 61  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Yucatan Rural 0.7463132
 62  A*68:03-B*39:05-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 63  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Puebla Rural 0.7194833
 64  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Tabasco Rural 0.7042142
 65  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
 66  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
 67  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Coahuila Rural 0.6881216
 68  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
 69  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City North 0.6640751
 70  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Puebla Rural 0.6595833
 71  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City Center 0.6494152
 72  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz Rural 0.6470539
 73  B*39:05-C*07:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.6400234
 74  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City East 0.625079
 75  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Hidalgo Rural 0.617381
 76  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Hidalgo Rural 0.617381
 77  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Oaxaca Rural 0.6160485
 78  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Morelos, Cuernavaca 0.609882
 79  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 80  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Jalisco, Zapopan 0.5952168
 81  A*24:02-B*39:01-DRB1*16:02-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 82  A*24:02-B*39:02-DRB1*16:02-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 83  A*31-B*39-DRB1*16-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 84  A*36-B*39:01-DRB1*16:02-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 85  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Puebla, Puebla city 0.57621,994
 86  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Puebla, Puebla city 0.57621,994
 87  A*31-B*39-DRB1*16-DQB1*03:01  Mexico Michoacan Rural 0.5731348
 88  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Xalapa 0.5348187
 89  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Xalapa 0.5348187
 90  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Yucatan, Merida 0.5128192
 91  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Yucatan, Merida 0.5128192
 92  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 93  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 0.4630106
 94  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
 95  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 0.4425226
 96  B*39:02-C*07:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4300234
 97  A*02:01-B*39:05-C*07:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4274234
 98  A*68:01-B*39:02-C*07:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4274234
 99  A*02-B*39-DRB1*16-DQB1*03:01  Ecuador Coast Mixed Ancestry 0.4202238
 100  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.4202119

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 183) 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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional