Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 201 to 300 (from 1,249) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 13  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.248923,595
 202  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.2414521
 203  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 204  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*08:06-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 205  A*02:01:01-B*15:01:01-C*05:03-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 206  A*02:01:01-B*18:01:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 207  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 208  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 209  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 210  A*02:01:01-B*50:02-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 211  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 212  A*23:01:01-B*14:02:01-C*08:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 213  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 214  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 215  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 216  A*26:01:01-B*18:01:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 217  A*33:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 218  A*33:01:01-B*55:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 219  A*68:02:01-B*55:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 220  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.22971,510
 221  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.22521,734
 222  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.22221,734
 223  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.220323,595
 224  A*11:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.20181,734
 225  A*01:01-B*41:01-C*16:02-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 226  A*01:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 227  A*02:01-B*07:02-C*12:03-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 228  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 229  A*02:01-B*51:01-C*07:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 230  A*02:01-B*51:01-C*07:02-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 231  A*02:20:01-B*07:02-C*05:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 232  A*23:01-B*15:01-C*03:03-DRB1*04:01:01-DQB1*06:02:01  England North West 0.2000298
 233  A*24:02-B*14:02:01-C*08:02-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 234  A*24:02-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 235  A*24:02-B*44:02-C*07:02-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 236  A*29:02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 237  A*29:02:01-B*44:03-C*16:01:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 238  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 239  A*31:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 240  A*32:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 241  A*68:01-B*44:02-C*07:04-DRB1*01:01:01-DQB1*06:02:01  England North West 0.2000298
 242  A*74:03-B*07:02-C*04:01-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 243  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.196523,595
 244  A*01:01:01-B*49:01:01-C*14:02:01-DRB1*03:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 245  A*01:01:01-B*58:02:01-C*14:02:01-DRB1*12:02:02-DQB1*06:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 246  A*01:02-B*42:01:01-C*17:01:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 247  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*08:06-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 248  A*02:01:01-B*55:01:01-C*16:01:01-DRB1*15:07:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 249  A*02:02:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 250  A*03:01:01-B*07:02:01-C*14:03:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:06-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 251  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 252  A*03:01:01-B*35:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 253  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 254  A*11:01:01-B*18:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 255  A*11:01:01-B*44:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:06-DPB1*05:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 256  A*23:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 257  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 258  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 259  A*24:02:01-B*15:17:01-C*12:03:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*02:02:02-DPB1*02:01:19  Brazil Rio de Janeiro Caucasian 0.1946521
 260  A*24:03:01-B*40:02:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 261  A*26:01:01-B*07:06:01-C*06:02:01-DRB1*04:05:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*124:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 262  A*29:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 263  A*29:02:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 264  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*01:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 265  A*30:02:01-B*15:03:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*03:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 266  A*31:01:02-B*15:03:01-C*12:02:02-DRB1*15:02:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 267  A*31:01:02-B*15:04:01-C*03:03:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*416:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 268  A*31:01:02-B*67:01:02-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 269  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 270  A*32:01:01-B*40:02:01-C*15:02:01-DRB1*04:04:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 271  A*33:01:01-B*44:03:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 272  A*66:01:01-B*07:06:01-C*06:02:01-DRB1*04:05:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*124:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 273  A*68:01:01-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 274  A*68:01:02-B*07:02:01-C*07:02:01-DRB1*14:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 275  A*74:01:01-B*35:01:01-C*02:10:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 276  A*74:03-B*44:03:01-C*16:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 277  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1945521
 278  A*32:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.18811,510
 279  A*01:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.18391,510
 280  A*31:01:02-B*35:08-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.180228,927
 281  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.17301,734
 282  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1690356
 283  A*02:01:01-B*07:04-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.16561,510
 284  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.16561,510
 285  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.16211,734
 286  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.159923,595
 287  A*33:03:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.1520192
 288  A*02:01:01-B*07:04-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.146223,595
 289  A*02:01:01-B*15:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.14421,734
 290  A*02:01:01-B*40:06:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 291  A*02:01:01-B*51:06:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 292  A*03:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 293  A*03:01:01-B*58:01:01-C*12:02:01-DRB1*13:02:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 294  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 295  A*24:02:01-B*40:06:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 296  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 297  A*26:01:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 298  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 299  A*32:01:01-B*40:06:01-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 300  A*33:01:01-B*35:01:01-C*03:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356

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 1,249) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 13  


   

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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