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 201 to 300 (from 310) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.06602,403
 202  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Colombia Bogotá Cord Blood 0.06431,463
 203  A*26:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.06364,204
 204  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Germany DKMS - German donors 0.06313,456,066
 205  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.06204,856
 206  A*25:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:02  Russia Karelia 0.06101,075
 207  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Korean 0.060677,584
 208  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.05961,734
 209  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP North American Amerindian 0.058535,791
 210  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*02:01  Russia Karelia 0.05671,075
 211  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*17:01  Russia Karelia 0.05651,075
 212  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*13:01  Russia Karelia 0.05641,075
 213  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Caribean Black 0.055733,328
 214  A*26:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.05504,856
 215  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.053511,446
 216  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Germany DKMS - German donors 0.05333,456,066
 217  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Italy minority 0.05301,159
 218  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.05182,403
 219  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Chinese 0.050099,672
 220  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.04752,492
 221  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 0.04701,999
 222  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.04702,403
 223  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 0.04701,999
 224  A*68:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 0.04701,999
 225  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Hispanic South or Central American 0.0465146,714
 226  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.04475,829
 227  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.04445,829
 228  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.04401,772
 229  A*26:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA African American pop 4 0.04402,411
 230  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.04401,772
 231  A*30:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Italy minority 0.04301,159
 232  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Italy minority 0.04301,159
 233  A*33:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Italy minority 0.04301,159
 234  A*26:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.040911,446
 235  A*02:06-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.040411,446
 236  A*24:02:01:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.04001,510
 237  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.03915,849
 238  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.03825,829
 239  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Caribean Black 0.037033,328
 240  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Korean 0.034477,584
 241  A*26:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Colombia Bogotá Cord Blood 0.03421,463
 242  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Colombia Bogotá Cord Blood 0.03421,463
 243  A*23:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 244  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 245  A*30:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.03404,856
 246  A*30:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 247  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 248  A*01:01:01:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.03311,510
 249  A*03:01:01:01-B*52:01:01:01-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.03311,510
 250  A*25:01:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.03311,510
 251  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.032111,446
 252  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP African American pop 2 0.0310416,581
 253  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 254  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 255  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:02-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 256  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:02-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 257  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:02-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 258  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:02  Japan pop 17 0.03003,078
 259  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 260  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 261  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 262  A*24:20-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 263  A*26:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 264  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 265  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.02904,856
 266  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP African 0.028928,557
 267  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 268  A*26:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 269  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*13:01  Germany DKMS - German donors 0.02873,456,066
 270  A*01:01:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.02821,510
 271  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Caribean Black 0.028033,328
 272  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Germany DKMS - German donors 0.02713,456,066
 273  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Colombia Bogotá Cord Blood 0.02531,463
 274  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.02462,492
 275  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP European Caucasian 0.02231,242,890
 276  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Germany DKMS - German donors 0.02223,456,066
 277  A*02:05-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01874,204
 278  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Caribean Hispanic 0.0185115,374
 279  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Mexican or Chicano 0.0179261,235
 280  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.01745,849
 281  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.01735,849
 282  A*30:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.01725,849
 283  A*02:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.01675,829
 284  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*02:01  Germany DKMS - German donors 0.01563,456,066
 285  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.01504,856
 286  A*69:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.01504,856
 287  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Germany DKMS - German donors 0.01473,456,066
 288  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Germany DKMS - German donors 0.01353,456,066
 289  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP North American Amerindian 0.013235,791
 290  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:02  Germany DKMS - German donors 0.01173,456,066
 291  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP African American pop 2 0.0114416,581
 292  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01134,204
 293  A*26:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.01125,849
 294  A*03:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.01104,856
 295  A*31:12-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.00995,849
 296  A*30:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00975,829
 297  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP African 0.008828,557
 298  A*23:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 299  A*11:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.00855,849
 300  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Chinese 0.006999,672

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 201 to 300 (from 310) 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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional