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 219) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*23-B*49-DRB1*11-DQB1*03:01  Mexico San Luis Potosi Rural 3.448387
 2  A*26-B*49-DRB1*11-DQB1*03:01  Mexico Mexico City West 2.941233
 3  A*74-B*49-DRB1*11-DQB1*03:01  Mexico Campeche, Campeche city 2.941234
 4  A*23-B*49-DRB1*11:01-DQB1*03:01  Russia Chuvash 2.400082
 5  A*02-B*49-DRB1*11-DQB1*03:01  Mexico Coahuila, Saltillo 2.054872
 6  A*03-B*49-DRB1*11-DQB1*03:01  Mexico Jalisco, Tlajomulco 1.666730
 7  A*23-B*49-DRB1*11-DQB1*03:01  Mexico Coahuila, Saltillo 1.369972
 8  A*68-B*49-DRB1*11-DQB1*03:01  Mexico Guanajuato, Leon 1.282178
 9  A*69-B*49-DRB1*11-DQB1*03:01  Mexico Guanajuato, Leon 1.282178
 10  A*03-B*49-DRB1*11-DQB1*03:01  Mexico Zacatecas, Zacatecas city 1.190584
 11  A*11-B*49-DRB1*11-DQB1*03:01  Mexico Colima Rural 1.136443
 12  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 1.0417192
 13  A*33-B*49-DRB1*11-DQB1*03:01  Mexico Mexico City South 0.961552
 14  A*02-B*49-DRB1*11-DQB1*03:01  Mexico Veracruz, Cordoba 0.892956
 15  A*23-B*49-DRB1*11-DQA1*05-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 16  A*33-B*49-DRB1*11-DQB1*03:01  Mexico Colima, Colima city 0.819761
 17  A*01-B*49-DRB1*11-DQB1*03:01  Mexico Yucatan Rural 0.7463132
 18  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.72701,159
 19  A*23-B*49-DRB1*11:04-DQB1*03:01  Bolivia Quechua 0.720069
 20  A*33-B*49-DRB1*11-DQB1*03:01  Mexico Michoacan, Morelia 0.6623150
 21  A*02-B*49-DRB1*11-DQB1*03:01  Mexico Mexico City Center 0.6494152
 22  A*01-B*49-DRB1*11-DQB1*03:01  Mexico Durango, Durango city 0.6452153
 23  A*31-B*49-DRB1*11-DQB1*03:01  Mexico Durango, Durango city 0.6452153
 24  A*01-B*49-DRB1*11-DQB1*03:01  Mexico Guanajuato, Leon 0.641078
 25  A*24-B*49-DRB1*11-DQB1*03:01  Mexico Guanajuato Rural 0.6135162
 26  A*23-B*49-DRB1*11-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 27  A*01-B*49-DRB1*11-DQB1*03:01  Mexico San Luis Potosi Rural 0.574787
 28  A*23:01-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.51604,856
 29  A*32-B*49-DRB1*11-DQB1*03:01  Mexico Nayarit, Tepic 0.515597
 30  A*02-B*49-DRB1*11-DQB1*03:01  Mexico Sonora Rural 0.5076197
 31  A*23-B*49-DRB1*11-DQB1*03:01  Mexico Coahuila, Torreon 0.5000396
 32  A*02-B*49-DRB1*11-DQB1*03:01  Mexico Sinaloa, Culiacán 0.4854103
 33  A*66-B*49-DRB1*11-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 34  A*02:05:01-B*49:01:01-C*07:01:01-DRB1*11:02:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 35  A*23-B*49-DRB1*11-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 0.4630106
 36  A*01:01-B*49:01-C*07:01-DRB1*11:02-DQB1*03:01  Italy pop 5 0.4400975
 37  A*02:01-B*49:01-C*07:01-E*01:01:01-F*01:01:02-G*01:03-DRB1*11:02-DQA1*05:05-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 38  A*23-B*49-DRB1*11-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.4202119
 39  A*02-B*49-DRB1*11-DQB1*03:01  Mexico Chiapas Rural 0.4132121
 40  A*33:01-B*49:01-C*08:02-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 41  A*03-B*49-DRB1*11-DQB1*03:01  Mexico Tabasco Rural 0.3521142
 42  A*66-B*49-DRB1*11-DQB1*03:01  Mexico Tabasco Rural 0.3521142
 43  A*01-B*49-DRB1*11-DQB1*03:01  Mexico Sonora, Ciudad Obregón 0.3497143
 44  A*74-B*49-DRB1*11-DQB1*03:01  Mexico Sonora, Ciudad Obregón 0.3497143
 45  A*23-B*49-DRB1*11-DQB1*03:01  Mexico Guerrero state 0.3472144
 46  A*23-B*49-DRB1*11-DQB1*03:01  Mexico Nuevo Leon Rural 0.3409439
 47  A*68-B*49-DRB1*11-DQB1*03:01  Mexico Oaxaca, Oaxaca city 0.3311151
 48  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*23:01:01  Russia Belgorod region 0.3268153
 49  A*33-B*49-DRB1*11-DQB1*03:01  Mexico Mexico City Center 0.3247152
 50  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 51  A*24:02-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.29301,159
 52  A*01-B*49-DRB1*11-DQB1*03:01  Mexico Veracruz, Veracruz city 0.2907171
 53  A*02-B*49-DRB1*11-DQB1*03:01  Mexico Sinaloa Rural 0.2732183
 54  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.27071,510
 55  A*66-B*49-DRB1*11-DQB1*03:01  Mexico Veracruz, Xalapa 0.2674187
 56  A*23:01-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.26501,159
 57  A*33:03:01-B*49:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 58  A*68:01-B*49:01-C*07:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 59  A*02-B*49-DRB1*11-DQB1*03:01  Mexico Yucatan, Merida 0.2564192
 60  A*26-B*49-DRB1*11-DQB1*03:01  Mexico Yucatan, Merida 0.2564192
 61  A*68-B*49-DRB1*11-DQB1*03:01  Mexico Puebla Rural 0.2398833
 62  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.23921,463
 63  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 64  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*11:02:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 65  A*29:02:01-B*49:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 66  A*26-B*49-DRB1*11-DQB1*03:01  Ecuador Coast Mixed Ancestry 0.2101238
 67  A*69-B*49-DRB1*11-DQB1*03:01  Ecuador Coast Mixed Ancestry 0.2101238
 68  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.20504,335
 69  A*03-B*49-DRB1*11-DQB1*03:01  Mexico Zacatecas Rural 0.1859266
 70  A*23-B*49-DRB1*11-DQB1*03:01  Mexico Jalisco Rural 0.1706585
 71  A*11:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.16604,856
 72  A*74:01-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*04:01  Tanzania Maasai 0.1597336
 73  A*74:01-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*30:01  Tanzania Maasai 0.1597336
 74  A*24:02-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.15504,856
 75  A*01-B*49-DRB1*11-DQB1*03:01  Mexico Durango Rural 0.1529326
 76  A*23-B*49-DRB1*11-DQB1*03:01  Mexico Durango Rural 0.1529326
 77  A*66-B*49-DRB1*11-DQB1*03:01  Mexico Durango Rural 0.1529326
 78  A*01:01-B*49:01-DRB1*11:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 79  A*01-B*49-DRB1*11-DQB1*03:01  Mexico Michoacan Rural 0.1433348
 80  A*02-B*49-DRB1*11-DQB1*03:01  Mexico Michoacan Rural 0.1433348
 81  A*26-B*49-DRB1*11-DQB1*03:01  Mexico Michoacan Rural 0.1433348
 82  A*02:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.1400975
 83  A*03:01-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 84  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.13404,856
 85  A*01:01:01-B*49:01:01-C*06:02:01-DRB1*11:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.1326221
 86  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.126623,595
 87  A*01-B*49-DRB1*11-DQB1*03:01  Mexico Coahuila, Torreon 0.1250396
 88  A*01-B*49-DRB1*11-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.1214824
 89  A*01-B*49-DRB1*11-DQB1*03:01  Mexico Puebla Rural 0.1199833
 90  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.11591,075
 91  A*01:01-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.11501,159
 92  A*02:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.11051,075
 93  A*01:01-B*49:01-C*06:02-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 94  A*02:05-B*49:01-C*07:01-DRB1*11:02-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 95  A*26:01-B*49:01-C*07:01-DRB1*11:04-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 96  A*02-B*49-DRB1*11-DQB1*03:01  Mexico Veracruz Rural 0.0924539
 97  A*66-B*49-DRB1*11-DQB1*03:01  Mexico Veracruz Rural 0.0924539
 98  A*01-B*49-DRB1*11-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 99  A*01-B*49-DRB1*11-DQB1*03:01  Ecuador Mixed Ancestry 0.08531,173
 100  A*03-B*49-DRB1*11-DQB1*03:01  Mexico Jalisco Rural 0.0853585

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 219) records   Pages: 1 2 3 of 3  


   

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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