Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 1,471) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  DRB1*08:02-DQB1*03:02  Japan Central 1.8000371
 102  A*02:01-B*48:01-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 1.7900105
 103  B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.7483143
 104  A*31:01-B*15:25-DRB1*08:02  Malaysia Champa 1.724129
 105  A*24-B*40-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 1.724087
 106  B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.7100234
 107  B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.7100234
 108  B*15:01:01-DRB1*08:02:01  Taiwan Thao 1.700030
 109  DRB1*08:02-DQA1*05:01-DQB1*04:02  Russia Siberia Chukotka Peninsula Chukchi 1.700059
 110  DRB1*08:02-DQB1*04:01  Samoa 1.700029
 111  A*68:01:02-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 1.6800105
 112  A*02-B*15-DRB1*08:02-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 113  A*24-B*07-DRB1*08:02-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 114  A*24-B*40-DRB1*08:02-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 115  A*02-B*35-DRB1*08:02  USA NMDP Hispanic 1.6000449,844
 116  DRB1*08:02-DQB1*04:02-DMB*01:03  Ecuadorean Amerindians 1.589175
 117  A*02:01-B*52:01-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 1.560096
 118  A*02-B*48-DRB1*08:02-DQB1*04:02  Bolivia Quechua 1.520069
 119  A*68:01-B*39:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 1.5152330
 120  A*02:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.5000234
 121  B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.5000234
 122  A*30:02:01-B*57:03:01-C*07:02:01-DRB1*08:02:01-DQB1*04:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 123  A*68-B*48-DRB1*08:02-DQB1*04:02  Bolivia Quechua 1.450069
 124  B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.3986143
 125  B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.3986143
 126  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 127  A*31:01-B*39:05-C*03:04-DRB1*08:02  Brazil Vale do Ribeira Quilombos 1.3889144
 128  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 129  A*02-B*15-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 1.316087
 130  A*02-B*51-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 1.310087
 131  A*24:02:01-B*40:02:01-C*03:05-DRB1*08:02:01  Costa Rica Amerindians (G) 1.2833125
 132  A*31-B*39-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 1.241087
 133  DRB1*08:02-DQA1*04:01:01-DQB1*04:02  South Korea pop 5 1.2000467
 134  DRB1*08:02-DQB1*04:02  Tunisia Matmata Berber 1.200081
 135  DRB1*08:02-DQB1*04:02  Sweden Southern Sami 1.2000130
 136  A*31:01-B*39:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 1.190584
 137  A*02-B*39-DRB1*08:02  Chile Santiago 1.1772920
 138  A*68-B*35-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 1.174087
 139  DRB1*08:02-DQA1*03-DQB1*03:02  Argentina Gran Chaco Eastern Toba 1.1000135
 140  DRB1*08:02-DQA1*04:01-DQB1*04:02  Russia Tuva pop3 1.100044
 141  B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.0700234
 142  A*02:01-B*35:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 143  A*02:06-B*35:01-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 144  A*68:01-B*35:12-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 145  A*68:01-B*35:20-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 146  A*68:01-B*39:05-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 147  A*24:02-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 1.06111,463
 148  A*02:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.0490143
 149  B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.0490143
 150  A*24:02-B*52:01-C*15:39-DRB1*08:02  Brazil Vale do Ribeira Quilombos 1.0417144
 151  A*02:01-B*15:15-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 1.040096
 152  A*02:01-B*51:01-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 1.040096
 153  A*02-B*15-DRB1*08:02-DQB1*04:02  Colombia Wayu from Guajira Peninsula 1.040048
 154  A*02-B*39-DRB1*08:02-DQB1*03:02  Colombia Wayu from Guajira Peninsula 1.040048
 155  A*24:02-B*15:30-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 1.040096
 156  A*24:02-B*35:17-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 1.040096
 157  A*24-B*15-DRB1*08:02-DQB1*04:02  Colombia Wayu from Guajira Peninsula 1.040048
 158  A*24-B*40-C*03:04-DRB1*08:02-DQB1*04  Russia Transbaikal Territory Buryats 1.0000150
 159  DRB1*08:02-DQA1*04:01-DQB1*04:02  Argentina Gran Chaco Mataco Wichi 1.000049
 160  DRB1*08:02-DQA1*06:01-DQB1*03:01  Mexico Guanajuato and Jalisco Mestizo 1.0000101
 161  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 162  A*24:02-B*35:05-C*01:02-DRB1*08:02-DQB1*03:09  Colombia North Wiwa El Encanto 0.961552
 163  A*24:02-B*40:02-C*01:06-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 164  A*24:57-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 165  A*31:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 166  A*31:12-B*40:02-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 167  A*33:03-B*40:09-C*03:04-DRB1*08:02-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 168  A*68:01-B*35:68-C*01:02-DRB1*08:02-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 169  A*68:01-B*35:68-C*03:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 170  A*68:01-B*40:02-C*03:04-DRB1*08:02  Russia Bering Island Aleuts 0.9615104
 171  A*02:12-B*39:05-DRB1*08:02  New Zealand Maori with Admixed History 0.9524105
 172  A*24-B*52-DRB1*08:02-DQB1*04:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 173  A*31-B*40-DRB1*08:02-DQB1*04:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 174  A*68-B*15-DRB1*08:02-DQB1*04:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 175  A*24-B*15-DRB1*08:02-DQB1*04:02  Bolivia Quechua 0.930069
 176  A*68:01:02-B*15:04-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.9100105
 177  A*68-B*39-DRB1*08:02  Chile Santiago 0.9097920
 178  A*24:02:01-B*40:02:01-C*03:05-DRB1*08:02:01  Costa Rica Guanacaste Mestizo (G) 0.9091110
 179  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.9050221
 180  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.8600234
 181  A*02-B*39-DRB1*08:02-DQB1*04:02  Bolivia Quechua 0.860069
 182  B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.8600234
 183  B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.8600234
 184  A*24-B*51-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 0.858087
 185  A*23-B*44-DRB1*08:02-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 186  A*31-B*51-DRB1*08:02-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 187  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:02:01  Costa Rica Amerindians (G) 0.8159125
 188  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP Mexican or Chicano 0.8120261,235
 189  A*02:06:01-B*40:02:01-C*03:05-DRB1*08:02:01  Costa Rica Amerindians (G) 0.8065125
 190  A*01:01-B*51:01-DRB1*08:02-DQB1*03:01  Chile Mapuche 0.770066
 191  A*02:01-B*39:01-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 192  A*03:01-B*51:01-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 193  A*31:01-B*15:08-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 194  A*33:01-B*39:01-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 195  A*68:01-B*40:09-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 196  A*02:01-B*15:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.7576330
 197  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Tixcacaltuyub Maya 0.746367
 198  A*31:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Tixcacaltuyub Maya 0.746367
 199  A*68:03-B*39:05-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Tixcacaltuyub Maya 0.746367
 200  A*01-B*35-DRB1*08:02-DQB1*04:02  Bolivia Quechua 0.720069

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 1,471) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  


   

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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional