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 100 (from 167) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*51:01-C*15:09-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 5.223967
 2  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Baja California, La Paz 2.000075
 3  A*24-B*51-DRB1*14:06-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 4  A*02-B*51-DRB1*14-DQB1*03:01  Ecuador Amazonia Mixed Ancestry 1.282139
 5  A*24-B*51-DRB1*14-DQB1*03:01  Ecuador Amazonia Mixed Ancestry 1.282139
 6  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Chihuahua Chihuahua City 1.2605119
 7  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Jalisco, Zapopan 1.1905168
 8  A*02:01-B*51:01-DRB1*14:06-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 1.136488
 9  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Quintana Roo, Cancun 1.041748
 10  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Quintana Roo Rural 1.000050
 11  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Oaxaca, Oaxaca city 0.9934151
 12  A*24-B*51-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.9709824
 13  A*02-B*51-DRB1*14:06-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 14  A*02-B*51-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.9102824
 15  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Veracruz, Veracruz city 0.8721171
 16  A*02-B*51-DRB1*14:46-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 17  A*23-B*51-DRB1*14:03-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 18  A*68-B*51-DRB1*14:06-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 19  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 0.8287181
 20  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Colima, Colima city 0.819761
 21  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Yucatan, Merida 0.7692192
 22  A*02-B*51-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.76731,173
 23  A*24-B*51-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.76731,173
 24  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Zacatecas Rural 0.7435266
 25  A*31-B*51-DRB1*14:02-DQB1*03:01  Bolivia Quechua 0.720069
 26  A*02:01:01-B*51:01:01-C*03:02:01-DRB1*14:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 27  A*02:01:01-B*51:01:01-C*03:02:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 28  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Coahuila, Saltillo 0.684972
 29  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Durango, Durango city 0.6452153
 30  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Guanajuato, Leon 0.641078
 31  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Mexico City East 0.625079
 32  A*02:01-B*51:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.6061330
 33  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 34  A*02:02-B*51:01-DRB1*14:02-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 35  A*24:02-B*51:01-DRB1*14:06-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 36  A*36-B*51:01-DRB1*14:02-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 37  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Sinaloa Rural 0.5464183
 38  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Aguascalientes state 0.526395
 39  A*33-B*51-DRB1*14-DQB1*03:01  Mexico Aguascalientes state 0.526395
 40  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Sonora, Hermosillo 0.505199
 41  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Baja Californa, Mexicali 0.5000100
 42  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Sinaloa, Culiacán 0.4854103
 43  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 44  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Coahuila Rural 0.4587216
 45  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Tlaxcala Rural 0.4217830
 46  A*02-B*51-DRB1*14-DQB1*03:01  Ecuador Coast Mixed Ancestry 0.4202238
 47  A*31-B*51-DRB1*14-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.4202119
 48  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Chiapas Rural 0.4132121
 49  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Oaxaca Rural 0.4107485
 50  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Yucatan Rural 0.3731132
 51  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Tabasco Rural 0.3521142
 52  A*68:20-B*51:01-C*05:01-DRB1*14:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 53  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Sonora, Ciudad Obregón 0.3497143
 54  B*51:01-C*05:01-DRB1*14:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 55  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Guerrero state 0.3472144
 56  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Nuevo Leon Rural 0.3409439
 57  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Mexico City North 0.3320751
 58  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Oaxaca, Oaxaca city 0.3311151
 59  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Puebla, Puebla city 0.32571,994
 60  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Mexico City Center 0.3247152
 61  A*31-B*51-DRB1*14-DQB1*03:01  Mexico Durango, Durango city 0.3226153
 62  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Jalisco, Zapopan 0.2976168
 63  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Jalisco, Zapopan 0.2976168
 64  A*31:01-B*51:01-C*14:02-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.29003,078
 65  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 0.2762181
 66  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Sinaloa Rural 0.2732183
 67  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Veracruz, Xalapa 0.2674187
 68  A*24:02:01:01-B*51:01:01-C*15:02:01:01-DRB1*14:12:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 69  A*02:03-B*51:02-C*14:02-DRB1*14:04-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 70  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Jalisco Rural 0.2560585
 71  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Jalisco Rural 0.2560585
 72  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Puebla, Puebla city 0.25051,994
 73  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Puebla Rural 0.2398833
 74  A*31:01-B*51:01-C*14:02-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.23003,078
 75  A*02:06-B*51:01-C*08:01-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 76  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Puebla, Puebla city 0.22551,994
 77  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 0.2212226
 78  A*31:01-B*51:01-C*15:09-DRB1*14:02-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 79  A*24-B*51-DRB1*14-DQB1*03:01  Ecuador Coast Mixed Ancestry 0.2101238
 80  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.20941,189
 81  A*31-B*51-DRB1*14-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.20941,189
 82  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Chihuahua Rural 0.2092236
 83  A*31-B*51-DRB1*14-DQB1*03:01  Mexico Chihuahua Rural 0.2092236
 84  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Zacatecas Rural 0.1859266
 85  A*31-B*51-DRB1*14-DQB1*03:01  Mexico Zacatecas Rural 0.1859266
 86  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Zacatecas Rural 0.1859266
 87  A*23-B*51-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.1820824
 88  A*31-B*51-DRB1*14-DQB1*03:01  Mexico Puebla Rural 0.1799833
 89  A*31-B*51-DRB1*14-DQB1*03:01  Mexico Jalisco Rural 0.1706585
 90  A*24:02-B*51:01-C*14:02-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.16003,078
 91  A*11-B*51-DRB1*14-DQB1*03:01  Mexico Durango Rural 0.1529326
 92  A*02:01-B*51:01-DRB1*14:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 93  A*31:01-B*51:01-DRB1*14:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 94  A*24-B*51-DRB1*14-DQB1*03:01  Mexico Mexico City North 0.1328751
 95  A*02:01-B*51:02-C*08:01-DRB1*14:02-DQB1*03:01  USA NMDP American Indian South or Central America 0.12905,926
 96  A*23-B*51-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.12791,173
 97  A*68-B*51-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.12791,173
 98  A*68-B*51-DRB1*14-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.12561,189
 99  A*02-B*51-DRB1*14-DQB1*03:01  Mexico Coahuila, Torreon 0.1250396
 100  A*31-B*51-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.1214824

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 167) 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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