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 1,394) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 202  A*26:01:01-B*38:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 203  A*29:02:01-B*41:02:01-C*17:03:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 204  A*68-B*53-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Paraná Caucasian 0.3120641
 205  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.31101,772
 206  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.307714,339
 207  A*24:02:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.305028,927
 208  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.30401,159
 209  A*01:01-B*08:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.3000298
 210  A*03:01-B*40:01-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*03:01  South Africa Worcester 0.3000159
 211  A*03:01-B*40:01-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  South Africa Worcester 0.3000159
 212  A*30:01-B*42:01-C*17:01-DRB1*13:02-DQA1*01:01-DQB1*06:04-DPB1*04:02  South Africa Worcester 0.3000159
 213  A*68:02-B*53:01:01-C*04:01-DRB1*13:02:01-DQB1*06:04  England North West 0.3000298
 214  A*26:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.2900975
 215  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*13:02:01-DQB1*06:04:01  India Karnataka Kannada Speaking 0.2870174
 216  A*11:01:01-B*15:17:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  India Karnataka Kannada Speaking 0.2870174
 217  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.28304,856
 218  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*03:01  Russia Karelia 0.27151,075
 219  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  India Andhra Pradesh Telugu Speaking 0.2688186
 220  A*24:07:01-B*52:01:01-C*12:02:02-DRB1*13:02:01-DQB1*06:04:01  India Andhra Pradesh Telugu Speaking 0.2688186
 221  A*30:02-B*51:08-C*16:02-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.264614,339
 222  A*02:01:01:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01  Russia Bashkortostan, Tatars 0.2604192
 223  A*24:02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Bashkortostan, Tatars 0.2604192
 224  A*31:01:02:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Bashkortostan, Tatars 0.2604192
 225  A*01:01-B*35:55-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  USA San Diego 0.2600496
 226  A*03:01-B*07:02-C*07:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  USA San Diego 0.2600496
 227  A*11:01-B*55:01-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:02  USA San Diego 0.2600496
 228  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*05:01  USA San Diego 0.2600496
 229  A*24:02-B*53:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  USA San Diego 0.2600496
 230  A*30:02-B*40:01-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  USA San Diego 0.2600496
 231  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*01:01  USA San Diego 0.2600496
 232  A*68:01-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  USA San Diego 0.2600496
 233  A*68:01-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*09:01  USA San Diego 0.2600496
 234  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Chinese 0.254799,672
 235  A*02-B*40-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Paraná Caucasian 0.2483641
 236  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.23921,463
 237  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.2348833
 238  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*04:01  Germany DKMS - German donors 0.23243,456,066
 239  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:04:01  Spain, Canary Islands, Gran canaria island 0.2300215
 240  A*29:02:01-B*07:05:01-C*15:05-DRB1*13:02:01-DQB1*06:04:01  Spain, Canary Islands, Gran canaria island 0.2300215
 241  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:01-DPB1*10:01  Mexico Chiapas Lacandon Mayans 0.2294218
 242  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Middle Eastern or North Coast of Africa 0.228370,890
 243  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.2262221
 244  A*01:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.2262221
 245  A*02:01:01-B*39:08-C*07:02:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.2262221
 246  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.21802,411
 247  A*02:01-B*45:01-C*16:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*17:01  Nicaragua Managua 0.2165339
 248  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:06-DQB1*06:04-DPB1*13:01  Nicaragua Managua 0.2165339
 249  A*33:01-B*14:02-C*08:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*03:01  Nicaragua Managua 0.2165339
 250  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.21072,492
 251  A*03:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.204714,339
 252  DRB1*13:02:01-DQB1*06:04-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.2020496
 253  A*02:01-B*18:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 254  A*02:01-B*49:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 255  A*24:02-B*40:01-C*03:04-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 256  A*32:01-B*49:01-C*07:01-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 257  A*68:01-B*51:01-C*15:02-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 258  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.19604,856
 259  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 260  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 261  A*03:01:01-B*44:03:01-C*07:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:02:02-DPB1*05:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 262  A*24:02:01-B*51:01:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 263  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 264  A*68:01:02-B*41:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 265  A*68:02:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 266  A*02:01-B*35:43-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*03:01  Panama 0.1900462
 267  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04-DPB1*04:02  Panama 0.1900462
 268  A*69:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Panama 0.1900462
 269  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.18701,999
 270  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1801833
 271  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:04  USA NMDP Hawaiian or other Pacific Islander 0.179411,499
 272  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.177528,927
 273  A*01:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.17501,159
 274  A*03:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.17301,159
 275  A*24:03-B*35:01-C*04:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.17301,159
 276  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.17091,463
 277  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.168928,927
 278  A*23:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Northeast UCBB 0.1689296
 279  A*32:01-B*15:02-C*07:01-DRB1*13:02-DQB1*06:04  India Northeast UCBB 0.1689296
 280  A*74:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Northeast UCBB 0.1689296
 281  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.168128,927
 282  A*01:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.16204,856
 283  A*01:01-B*08:01-C*07:328-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 0.1597336
 284  A*02:05-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*30:01  Tanzania Maasai 0.1597336
 285  A*03:01-B*53:01-C*07:18-DRB1*13:02-DQB1*06:04-DPB1*04:02  Tanzania Maasai 0.1597336
 286  A*24:02-B*35:02-C*04:18-DRB1*13:02-DQB1*06:04-DPB1*30:01  Tanzania Maasai 0.1597336
 287  A*30:01-B*15:10-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*04:01  Tanzania Maasai 0.1597336
 288  A*30:10-B*49:01-C*06:157-DRB1*13:02-DQB1*06:04-DPB1*04:02  Tanzania Maasai 0.1597336
 289  A*31:04-B*45:01-C*15:05-DRB1*13:02-DQB1*06:04-DPB1*04:01  Tanzania Maasai 0.1597336
 290  A*33:03-B*14:01-C*08:02-DRB1*13:02-DQB1*06:04-DPB1*105:01  Tanzania Maasai 0.1597336
 291  A*33:03-B*42:01-C*18:01-DRB1*13:02-DQB1*06:04-DPB1*01:01  Tanzania Maasai 0.1597336
 292  A*33:03-B*81:01-C*04:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 0.1597336
 293  A*33:03-B*81:01-C*18:01-DRB1*13:02-DQB1*06:04-DPB1*39:01  Tanzania Maasai 0.1597336
 294  A*36:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:04-DPB1*124:01  Tanzania Maasai 0.1597336
 295  A*68:01-B*49:01-C*04:04-DRB1*13:02-DQB1*06:04-DPB1*105:01  Tanzania Maasai 0.1597336
 296  A*68:02-B*18:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*04:01  Tanzania Maasai 0.1597336
 297  A*68:02-B*41:01-C*08:13-DRB1*13:02-DQB1*06:04-DPB1*01:01  Tanzania Maasai 0.1597336
 298  A*68:02-B*44:03-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 0.1597336
 299  A*68:02-B*53:01-C*06:02-DRB1*13:02-DQB1*06:04-DPB1*02:01  Tanzania Maasai 0.1597336
 300  A*68:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 0.1597336

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 1,394) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  


   

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