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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 365) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03-B*51-DRB1*07-DQB1*02  Mexico Jalisco, Tlajomulco 3.333330
 2  A*03-B*51-DRB1*07-DQB1*02  Mexico Queretaro Rural 2.325643
 3  A*02-B*51-DRB1*07-DQB1*02  Mexico Tamaulipas, Ciudad Victoria 2.173923
 4  A*25-B*51-DRB1*07-DQB1*02  Mexico Baja California, Tijuana 2.000025
 5  A*03-B*51-DRB1*07-DQB1*02  Mexico Nuevo Leon, Monterrey city 1.5487226
 6  A*24:02:01-B*51:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 7  A*24-B*51-DRB1*07-DQB1*02  Mexico Jalisco, Tonala 1.428635
 8  A*24-B*51-DRB1*07-DQB1*02  Mexico Baja California, La Paz 1.333375
 9  A*68-B*51-DRB1*07-DQB1*02  Ecuador Amazonia Mixed Ancestry 1.282139
 10  A*02-B*51-DRB1*07-DQB1*02  Mexico Hidalgo Rural 1.234681
 11  A*02-B*51-DRB1*07-DQB1*02  Mexico Hidalgo, Pachuca 1.219541
 12  A*02-B*51-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 1.0152641
 13  A*30-B*51-DRB1*07-DQB1*02  Mexico Quintana Roo Rural 1.000050
 14  A*30-B*51-DRB1*07-DQB1*02  Mexico Michoacan, Morelia 0.9934150
 15  A*02-B*51-DRB1*07-DQB1*02  Mexico Veracruz, Cordoba 0.892956
 16  A*01:01-B*51:01-C*14:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.8772130
 17  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.8333120
 18  A*24-B*51-DRB1*07:01-DQB1*02:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 19  A*03-B*51-DRB1*07-DQB1*02  Mexico Coahuila, Saltillo 0.684972
 20  A*02-B*51-C*15-DRB1*07-DQB1*02  Albania pop 2 0.6800432
 21  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*07:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 22  A*24:02:01-B*51:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 23  A*26:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 24  A*32:01:01-B*51:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 25  A*02-B*51-DRB1*07-DQB1*02  Mexico Mexico City East 0.625079
 26  A*01-B*51-DRB1*07-DQB1*02  Mexico Hidalgo Rural 0.617381
 27  A*02-B*51-DRB1*07-DQB1*02  Mexico Morelos, Cuernavaca 0.609882
 28  A*02:02-B*51:01-DRB1*07:01-DQB1*02:02  Mexico Veracruz Xalapa 0.595284
 29  A*68-B*51-DRB1*07-DQB1*02  Mexico Zacatecas, Zacatecas city 0.595284
 30  A*23:01-B*51:01-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 31  A*68-B*51-DRB1*07-DQB1*02  Mexico Aguascalientes state 0.526395
 32  A*11:01-B*51:01-DRB1*07:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 33  A*66:01-B*51:01-DRB1*07:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 34  A*01:01-B*51:01-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 35  A*03-B*51-DRB1*07-DQB1*02  Mexico Coahuila, Torreon 0.5000396
 36  A*01-B*51-DRB1*07-DQB1*02  Mexico Sinaloa, Culiacán 0.4854103
 37  A*03:01-B*51:01-C*15:02-E*01:03:02-F*01:01:02-G*01:01-DRB1*07:01-DQA1*05:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 38  A*30-B*51-DRB1*07-DQB1*02  Mexico Chihuahua Chihuahua City 0.4202119
 39  A*25:01:01-B*51:01:01-C*12:03:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 40  A*01-B*51-C*06:02-DRB1*07-DQB1*02  Russia North Ossetian 0.3900127
 41  A*68-B*51-DRB1*07-DQB1*02  Mexico Tabasco Rural 0.3521142
 42  A*02:01-B*51:02-C*08:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 43  A*03:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 44  A*30-B*51-DRB1*07-DQB1*02  Mexico Sonora, Ciudad Obregón 0.3497143
 45  B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 46  B*51:01-C*16:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 47  B*51:02-C*08:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 48  A*31:01-B*51:01-C*15:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 0.3333150
 49  A*03-B*51-DRB1*07-DQB1*02  Mexico Mexico City Center 0.3247152
 50  A*68-B*51-DRB1*07-DQB1*02  Mexico Durango, Durango city 0.3226153
 51  A*02:05:01-B*51:01:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 52  A*02:01-B*51:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*01:01  South Africa Worcester 0.3000159
 53  A*24:02-B*51:02-C*03:04-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Africa Worcester 0.3000159
 54  A*03-B*51-DRB1*07-DQB1*02  Mexico Jalisco, Zapopan 0.2976168
 55  A*03-B*51-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.29311,189
 56  A*02:01-B*51:01-C*02:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 57  A*02:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 58  A*03:02-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 59  A*32:01-B*51:01-C*01:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 60  A*11:01:01-B*51:01:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.2810356
 61  A*02-B*51-DRB1*07-DQB1*02  Mexico Veracruz Rural 0.2773539
 62  A*02-B*51-DRB1*07-DQB1*02  Mexico Sinaloa Rural 0.2732183
 63  A*68:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 64  A*31-B*51-DRB1*07-DQB1*02  Mexico Veracruz, Xalapa 0.2674187
 65  A*02:01-B*51:08-C*16:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 0.2600496
 66  A*02-B*51-DRB1*07-DQB1*02  Mexico Yucatan, Merida 0.2564192
 67  A*24:03-B*51:06-C*12:04-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.255411,499
 68  A*02-B*51-DRB1*07-DQB1*02  Mexico Sonora Rural 0.2538197
 69  A*02-B*51-DRB1*07-DQB1*02  Mexico Tlaxcala Rural 0.2410830
 70  A*03:01-B*51:01-C*16:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.23401,999
 71  A*24:02:01-B*51:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 72  A*66:01:01-B*51:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 73  A*03-B*51-DRB1*07-DQB1*02  Mexico Coahuila Rural 0.2294216
 74  A*03-B*51-DRB1*07-DQB1*02  Mexico Nuevo Leon Rural 0.2273439
 75  A*24-B*51-DRB1*07-DQB1*02  Mexico Nuevo Leon Rural 0.2273439
 76  A*02-B*51-DRB1*07-DQB1*02  Mexico Nuevo Leon, Monterrey city 0.2212226
 77  A*02:01-B*51:01-C*01:02-DRB1*07:01-DQA1*01:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 78  A*24:02-B*51:01-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 79  A*02-B*51-DRB1*07-DQB1*02  Ecuador Coast Mixed Ancestry 0.2101238
 80  A*68-B*51-DRB1*07-DQB1*02  Ecuador Coast Mixed Ancestry 0.2101238
 81  A*74-B*51-DRB1*07-DQB1*02  Mexico Chihuahua Rural 0.2092236
 82  A*11:01-B*51:01-C*15:02-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 83  A*30:01-B*51:01-C*16:01:01-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 84  A*68:01-B*51:01-C*06:02-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 85  A*68-B*51-DRB1*07-DQB1*02  Mexico Mexico City North 0.1992751
 86  A*25:01:01-B*51:01:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 87  A*30:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 88  A*02-B*51-DRB1*07-DQB1*02  Mexico Zacatecas Rural 0.1859266
 89  A*03-B*51-DRB1*07-DQB1*02  Mexico Jalisco Rural 0.1706585
 90  A*02-B*51-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.16751,189
 91  A*23:01-B*51:01-C*16:46-DRB1*07:01-DQB1*02:02-DPB1*131:01  Tanzania Maasai 0.1597336
 92  A*02:01-B*51:01-DRB1*07:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 93  A*31:01-B*51:01-DRB1*07:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 94  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.148628,927
 95  A*24-B*51-DRB1*07-DQB1*02  Mexico Michoacan Rural 0.1433348
 96  A*31-B*51-DRB1*07-DQB1*02  Mexico Michoacan Rural 0.1433348
 97  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.14001,999
 98  A*68:01:02-B*51:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 99  A*02:01-B*51:01-C*02:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 100  A*11:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.13671,463

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 365) records   Pages: 1 2 3 4 of 4  


   

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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