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 101 to 200 (from 302) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz Rural 1.0166539
 102  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz Rural 1.0166539
 103  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Sonora, Hermosillo 1.010199
 104  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Sonora, Hermosillo 1.010199
 105  A*24:02-B*39:06-C*07:02-DRB1*14:06-DRB3*01:01-DQB1*03:01  USA NMDP Mexican or Chicano 1.0097261,235
 106  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Baja California Rural 1.000050
 107  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Quintana Roo Rural 1.000050
 108  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Oaxaca, Oaxaca city 0.9934151
 109  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*14:54:01-DQB1*03:01:01  Vietnam Kinh 0.9900101
 110  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 0.9868150
 111  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Sinaloa, Culiacán 0.9709103
 112  A*24-B*39-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.9709824
 113  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Sinaloa, Culiacán 0.9709103
 114  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 115  A*31-B*39-DRB1*14:06-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 116  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Coahuila Rural 0.9174216
 117  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Nuevo Leon Rural 0.9091439
 118  A*68:07-B*39:08-C*07:02:01-DRB1*14:02-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.9050221
 119  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Coatzacoalcos 0.892955
 120  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 0.8850226
 121  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Veracruz city 0.8721171
 122  A*02-B*39-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.85251,173
 123  A*01-B*39-DRB1*14:06-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 124  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz Rural 0.8318539
 125  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 0.8287181
 126  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Chiapas Rural 0.8264121
 127  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Sinaloa Rural 0.8197183
 128  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Colima, Colima city 0.819761
 129  A*24-B*39-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.80991,173
 130  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Tamaulipas Rural 0.7937125
 131  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Nayarit Rural 0.781264
 132  A*31:01-B*39:03-DRB1*14:02-DQB1*03:01  Chile Mapuche 0.770066
 133  A*68:01-B*39:14-DRB1*14:02-DQB1*03:01  Chile Mapuche 0.770066
 134  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Yucatan, Merida 0.7692192
 135  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Yucatan Rural 0.7463132
 136  A*24:02-B*39:06-C*07:02-DRB1*14:06-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 137  A*68:03-B*39:05-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 138  A*68-B*39-DRB1*14:06-DQB1*03:01  Bolivia Quechua 0.720069
 139  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Puebla Rural 0.7194833
 140  A*24:02-B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 0.6993143
 141  A*31:01-B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 0.6993143
 142  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 143  A*24:02:01-B*39:01:01-C*07:01:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 144  A*24:02:01-B*39:06:01-C*07:01:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 145  A*11-B*39-DRB1*14-DQB1*03:01  Mexico Coahuila, Saltillo 0.684972
 146  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Coahuila, Saltillo 0.684972
 147  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Nuevo Leon Rural 0.6818439
 148  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Mexico City North 0.6640751
 149  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Michoacan, Morelia 0.6623150
 150  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 0.6579150
 151  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Guanajuato, Leon 0.641078
 152  B*39:05-C*07:02-DRB1*14:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.6400234
 153  A*31-B*39-DRB1*14-DQB1*03:01  Ecuador Coast Mixed Ancestry 0.6303238
 154  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Chihuahua Rural 0.6276236
 155  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Coahuila, Torreon 0.6250396
 156  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Guanajuato Rural 0.6135162
 157  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Durango Rural 0.6116326
 158  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Tabasco, Villahermosa 0.609882
 159  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Morelos, Cuernavaca 0.609882
 160  A*24:02-B*39:06-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.6061330
 161  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Puebla Rural 0.5995833
 162  A*24:02-B*39:01-DRB1*14:06-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 163  A*30:01-B*39:01-DRB1*14:02-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 164  A*31:01-B*39:01-DRB1*14:02-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 165  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Zacatecas, Zacatecas city 0.595284
 166  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Veracruz city 0.5814171
 167  A*01:01-B*39:01-DRB1*14:02-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 168  A*32:01-B*39:01-DRB1*14:02-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 169  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Zacatecas Rural 0.5576266
 170  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz Rural 0.5545539
 171  A*24:02-B*39:06-C*07:02-DRB1*14:06-DQB1*03:01  USA Hispanic pop 2 0.53701,999
 172  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Sonora Rural 0.5076197
 173  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.50251,189
 174  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Puebla, Puebla city 0.50101,994
 175  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Baja Californa, Mexicali 0.5000100
 176  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Sinaloa, Culiacán 0.4854103
 177  A*68:01:02-B*39:05-DRB1*14:02-DQB1*03:01  Peru Titikaka Lake Uros 0.4800105
 178  A*01-B*39-DRB1*14-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 179  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 180  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 181  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 182  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Chihuahua, Ciudad Juarez 0.4630106
 183  A*24:02-B*39:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.4545330
 184  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 0.4425226
 185  B*39:05-C*07:02-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4300234
 186  A*02:01-B*39:05-C*07:02-DRB1*14:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4274234
 187  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Jalisco Rural 0.4266585
 188  A*68-B*39-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.4248824
 189  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Tlaxcala Rural 0.4217830
 190  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.4202119
 191  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.4202119
 192  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.4202119
 193  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Puebla Rural 0.4197833
 194  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Chiapas Rural 0.4132121
 195  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Oaxaca Rural 0.4107485
 196  A*24:02-B*39:06-C*07:02-DRB1*14:06-DRB3*01:01-DQB1*03:01  USA NMDP Hispanic South or Central American 0.4026146,714
 197  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Puebla, Puebla city 0.40081,994
 198  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Tamaulipas Rural 0.3968125
 199  A*02-B*39-DRB1*14:06-DQB1*03:01  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 200  A*24-B*39-DRB1*14:06-DQB1*03:01  Guatemala, Guatemala City Mixed Ancestry 0.3900127

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 101 to 200 (from 302) 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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