Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 144) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*26-B*49-DRB1*01:02-DQB1*05:01  Spain Pas Valley 2.700088
 2  A*02-B*49-DRB1*01-DQB1*05  Mexico Veracruz, Orizaba 1.666760
 3  A*02-B*49-DRB1*01-DQB1*05  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 4  A*03-B*49-DRB1*01-DQB1*05  Mexico Colima Rural 1.136443
 5  A*02-B*49-DRB1*01-DQB1*05  Mexico Baja Californa, Mexicali 1.0000100
 6  A*26-B*49-DRB1*01-DQA1*01:02-DQB1*05:04  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8600112
 7  A*29-B*49-DRB1*01-DQB1*05  Mexico Coahuila, Saltillo 0.684972
 8  A*02-B*49-DRB1*01-DQB1*05  Mexico Veracruz Rural 0.6470539
 9  A*03-B*49-DRB1*01-DQB1*05  Mexico Hidalgo Rural 0.617381
 10  A*11-B*49-DRB1*01-DQB1*05  Mexico Morelos, Cuernavaca 0.609882
 11  A*02:01-B*49:01-DRB1*01:02-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 12  A*02-B*49-C*07-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.54441,743
 13  A*02-B*49-DRB1*01-DQB1*05  Mexico Sinaloa, Culiacán 0.4854103
 14  A*02-B*49-DRB1*01-DQB1*05  Mexico Zacatecas, Fresnillo 0.4762103
 15  A*30-B*49-DRB1*01-DQB1*05  Mexico Zacatecas, Fresnillo 0.4762103
 16  A*03:01:01-B*49:01:01-C*07:01:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 17  A*02-B*49-DRB1*01-DQB1*05  Mexico Durango Rural 0.4587326
 18  A*24-B*49-DRB1*01-DQB1*05  Mexico Coahuila Rural 0.4587216
 19  A*23-B*49-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 20  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 21  A*02-B*49-C*07:01-DRB1*01-DQB1*05  Russia North Ossetian 0.3900127
 22  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 23  A*02-B*49-DRB1*01-DQB1*05  Mexico Coahuila, Torreon 0.3750396
 24  A*66-B*49-DRB1*01-DQB1*05  Mexico Yucatan Rural 0.3731132
 25  A*02-B*49-DRB1*01-DQB1*05  Mexico Zacatecas Rural 0.3717266
 26  A*02-B*49-DRB1*01-DQB1*05  Mexico Tabasco Rural 0.3521142
 27  A*03:01:01-B*49:01:01-C*07:01:02-DRB1*01:02:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 28  A*11-B*49-C*07:01-DRB1*01:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 29  A*23-B*49-DRB1*01-DQB1*05  Mexico Michoacan, Morelia 0.3311150
 30  A*02-B*49-DRB1*01-DQB1*05  Mexico Mexico City Metropolitan Area Rural 0.3289150
 31  A*68-B*49-DRB1*01-DQB1*05  Mexico Mexico City Metropolitan Area Rural 0.3289150
 32  A*02-B*49-DRB1*01-DQB1*05  Mexico Mexico City Center 0.3247152
 33  A*02:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.27404,335
 34  A*02-B*49-DRB1*01-DQB1*05  Mexico Sinaloa Rural 0.2732183
 35  A*02-B*49-DRB1*01-DQB1*05  Mexico Veracruz, Xalapa 0.2674187
 36  A*24:02:01:01-B*49:01:01-C*08:03:01-DRB1*01:01:01-DQB1*05:04  Russia Bashkortostan, Tatars 0.2604192
 37  A*02-B*49-DRB1*01-DQB1*05  Mexico Sonora Rural 0.2538197
 38  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 39  A*26:01-B*49:01-C*07:01-DRB1*01:01:01-DQB1*05:04  England North West 0.2000298
 40  A*03:01:01-B*49:01:01-C*07:01:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*124:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 41  A*01:01-B*49:01-C*07:28-DRB1*01:02-DQB1*05:01-DPB1*105:01  Panama 0.1900462
 42  A*11-B*49-DRB1*01-DQB1*05  Mexico Zacatecas Rural 0.1859266
 43  A*01-B*49-DRB1*01-DQB1*05  Mexico Puebla Rural 0.1799833
 44  A*02:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.16951,075
 45  A*02-B*49-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.16751,189
 46  A*24-B*49-DRB1*01-DQB1*05  Mexico Durango Rural 0.1529326
 47  A*31-B*49-DRB1*01-DQB1*05  Mexico Durango Rural 0.1529326
 48  A*11:01-B*49:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 49  A*24:02-B*49:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 50  A*30:01-B*49:01-DRB1*01:02-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 51  A*31:01-B*49:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 52  A*03-B*49-DRB1*01-DQB1*05  Mexico Michoacan Rural 0.1433348
 53  A*11-B*49-DRB1*01:03-DQB1*05  Mexico Michoacan Rural 0.1433348
 54  A*68-B*49-DRB1*01-DQB1*05  Mexico Michoacan Rural 0.1433348
 55  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Russia Nizhny Novgorod, Russians 0.13251,510
 56  A*03-B*49-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.12561,189
 57  A*36-B*49-DRB1*01-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 58  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.123923,595
 59  A*02-B*49-DRB1*01-DQB1*05  Mexico Puebla Rural 0.1199833
 60  A*23-B*49-DRB1*01:03-DQB1*05  Mexico Nuevo Leon Rural 0.1136439
 61  A*01-B*49-DRB1*01-DQB1*05  Mexico Oaxaca Rural 0.1027485
 62  A*03:01-B*49:01-C*07:01-DRB1*01:02-DQB1*05:01  USA Hispanic pop 2 0.09401,999
 63  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*01:03-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.0926221
 64  A*03:01-B*49:01-C*07:01-DRB1*01:02-DQB1*05:01  USA African American pop 4 0.08702,411
 65  A*02-B*49-DRB1*01-DQB1*05  Mexico Jalisco Rural 0.0853585
 66  A*24-B*49-DRB1*01-DQB1*05  Mexico Jalisco Rural 0.0853585
 67  A*29-B*49-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.08381,189
 68  A*03-B*49-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 69  A*01:02-B*49:01-C*07:01-DRB1*01:02-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 70  A*03:01-B*49:01-C*07:01-DRB1*01:02-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 71  A*23-B*49-DRB1*01-DQB1*05  Ecuador Andes Mixed Ancestry 0.0607824
 72  A*26-B*49-DRB1*01-DQB1*05  Ecuador Andes Mixed Ancestry 0.0607824
 73  A*02-B*49-DRB1*01-DQB1*05  Mexico Tlaxcala Rural 0.0602830
 74  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  China Zhejiang Han 0.05771,734
 75  A*02:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04-DPB1*02:01  Russia Karelia 0.05641,075
 76  A*26:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Russia Karelia 0.05641,075
 77  A*23:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04-DPB1*03:01  Russia Karelia 0.05601,075
 78  A*24:02-B*49:01-C*07:01-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.05261,463
 79  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Poland BMR 0.048523,595
 80  A*01:02-B*49:01-C*07:01-DRB1*01:02-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 81  A*02:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.04402,411
 82  A*24:02-B*49:01-C*16:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 83  A*23-B*49-DRB1*01-DQB1*05  Ecuador Mixed Ancestry 0.04261,173
 84  A*26-B*49-DRB1*01-DQB1*05  Ecuador Mixed Ancestry 0.04261,173
 85  A*26-B*49-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 86  A*33-B*49-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 87  A*26:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04  India Tamil Nadu 0.04012,492
 88  A*02-B*49-C*07-DRB1*01-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.04004,510
 89  A*01:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04  Colombia Bogotá Cord Blood 0.03421,463
 90  A*01:02-B*49:01-C*07:01-DRB1*01:02-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 91  A*02:05-B*49:01-C*07:01-DRB1*01:02-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 92  A*11:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 93  A*33:03-B*49:01-C*07:01-DRB1*01:02-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 94  A*02:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 95  A*11:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 96  A*23:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 97  A*23:01-B*49:01-C*07:01-DRB1*01:02-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 98  A*25:01-B*49:01-C*07:01-DRB1*01:02-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 99  A*26:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 100  A*26:01-B*49:01-C*07:01-DRB1*01:01-DQB1*05:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335

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 144) 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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