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 326) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 202  A*02:05-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 203  A*02:30-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 204  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.04701,999
 205  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0470221
 206  A*68:01-B*38:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 207  A*01:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 208  A*02:17-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 209  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 210  A*24-B*38-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 211  A*30-B*38-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 212  A*03-B*38-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 213  A*02:01-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.04162,403
 214  A*32:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.040423,595
 215  A*24-B*38-C*12-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.04004,510
 216  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.03853,456,066
 217  A*01:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03521,510
 218  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.03435,829
 219  A*24:02-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 220  A*31:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 221  A*02:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 222  A*02:17-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 223  A*23:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 224  A*24:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 225  A*25:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 226  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 227  A*29:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 228  A*29:02-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 229  A*02:30-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.03363,456,066
 230  A*03:01:01:03-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 231  A*11:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 232  A*24:02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 233  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 234  A*68-B*38-C*12-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 235  A*69-B*38-C*12-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 236  A*24-B*38-C*12-DRB1*13-DQB1*06-DPB1*05  Norway ethnic Norwegians 0.03004,510
 237  A*32:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.03004,856
 238  A*30:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.02904,856
 239  A*68:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.02804,856
 240  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02783,456,066
 241  A*23:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.026023,595
 242  A*26-B*38-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.02511,994
 243  A*24:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.02384,204
 244  A*02:30:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.023623,595
 245  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:02  Germany DKMS - German donors 0.02343,456,066
 246  A*30:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.021423,595
 247  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.0213221
 248  A*24:17-B*38:02-C*07:02-DRB1*13:02-DQB1*06:09  India East UCBB 0.02082,403
 249  A*11:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.020423,595
 250  A*01:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02013,456,066
 251  A*03:01-B*38:01-C*14:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02012,492
 252  A*01-B*38-C*12-DRB1*13-DQB1*06-DPB1*05  Norway ethnic Norwegians 0.02004,510
 253  A*02:05-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.02004,856
 254  A*02-B*38-C*12-DRB1*13-DQB1*06-DPB1*13  Norway ethnic Norwegians 0.02004,510
 255  A*03-B*38-C*12-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.02004,510
 256  A*24-B*38-C*12-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.02004,510
 257  A*32-B*38-C*12-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.02004,510
 258  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01993,456,066
 259  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01963,456,066
 260  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.019523,595
 261  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.01935,829
 262  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.018223,595
 263  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*05:01  Germany DKMS - German donors 0.01783,456,066
 264  A*02:11-B*38:01-C*03:04-DRB1*13:01-DQB1*06:03  India North UCBB 0.01715,849
 265  A*01:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:02  Germany DKMS - German donors 0.01643,456,066
 266  A*03:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01604,856
 267  A*11:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01604,856
 268  A*01:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01503,456,066
 269  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.01473,456,066
 270  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:02  Germany DKMS - German donors 0.01453,456,066
 271  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01404,856
 272  A*23:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01304,856
 273  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.013023,595
 274  A*02:06-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01204,856
 275  A*02:01-B*38:01-C*16:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 276  A*02:11-B*38:01-C*03:04-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 277  A*29:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 278  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*14:01  Germany DKMS - German donors 0.01163,456,066
 279  A*02:05-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.01155,849
 280  A*11:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01143,456,066
 281  A*02:01-B*38:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01104,856
 282  A*25:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.010323,595
 283  A*32:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:02  Germany DKMS - German donors 0.01013,456,066
 284  A*68:01-B*38:01-C*07:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.01002,492
 285  A*68:01-B*38:01-C*07:01-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.01002,492
 286  A*02-B*38-C*12-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.01004,510
 287  A*02-B*38-C*12-DRB1*13-DQB1*06-DPB1*03  Norway ethnic Norwegians 0.01004,510
 288  A*03:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 289  A*24-B*38-C*12-DRB1*13-DQB1*06-DPB1*10  Norway ethnic Norwegians 0.01004,510
 290  A*26-B*38-C*12-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.01004,510
 291  A*68:01:02-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.010023,595
 292  A*11:01-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.00964,204
 293  A*01:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.00955,849
 294  A*11:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.009023,595
 295  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.008711,446
 296  A*02:03-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 297  A*02:11-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 298  A*33:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.00865,849
 299  A*74:02-B*38:02-C*07:02-DRB1*13:02-DQB1*06:04  India West UCBB 0.00865,829
 300  A*01:01-B*38:01-C*03:04-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849

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 326) 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