Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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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 292 (from 292) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*02-B*15-DRB1*08:04-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 202  A*02-B*40-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 203  A*02-B*45-DRB1*03:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 204  A*02-B*56-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 205  A*03-B*18-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 206  A*03-B*45-DRB1*08:04-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 207  A*11-B*38-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 208  A*11-B*39-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 209  A*11-B*52-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 210  A*11-B*53-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 211  A*23-B*35-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 212  A*23-B*37-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 213  A*24-B*15-DRB1*08:04-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 214  A*24-B*39-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 215  A*24-B*44-DRB1*04:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 216  A*24-B*50-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 217  A*25-B*18-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 218  A*26-B*49-DRB1*15:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 219  A*29-B*39-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 220  A*29-B*44-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 221  A*30-B*44-DRB1*08:04-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 222  A*31-B*44-DRB1*08:04-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 223  A*31-B*51-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 224  A*32-B*40-DRB1*08:04-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 225  A*68-B*39-DRB1*08:04-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 226  A*68-B*39-DRB1*08:07-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 227  A*68-B*40-DRB1*08:07-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 228  A*68-B*42-DRB1*03:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 229  A*02:01-B*39:06-C*07:02-DRB1*08:01-DQA1*04:01-DQB1*04:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 230  A*03:01-B*35:03-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 231  A*11:01-B*40:06-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*20:01  Sri Lanka Colombo 0.0700714
 232  A*11:01-B*56:01-C*04:10-DRB1*08:03-DQA1*04:01-DQB1*04:02-DPB1*09:01  Sri Lanka Colombo 0.0700714
 233  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 234  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 235  A*24:02-B*40:01-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 236  A*24:02-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.07003,078
 237  A*26:03-B*15:01-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 238  DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.0660833
 239  DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*03:01  Hong Kong Chinese HKBMDR. DQ and DP 0.06161,064
 240  DRB1*08:09-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*05:01  China Zhejiang Han pop 2 0.0603833
 241  DRB1*08:01-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.0600833
 242  DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*416:01  China Zhejiang Han pop 2 0.0600833
 243  DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*296:01  China Zhejiang Han pop 2 0.0600833
 244  DRB1*12:01-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.0600833
 245  A*03-B*07-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0583641
 246  DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*38:01  Hong Kong Chinese HKBMDR. DQ and DP 0.04701,064
 247  DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.04371,064
 248  A*02:01-B*15:18-C*01:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 249  A*02:01-B*35:01-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 250  A*02:01-B*35:01-C*08:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 251  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 252  A*02:01-B*40:06-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 253  A*02:01-B*48:01-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 254  A*02:01-B*48:01-C*08:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 255  A*02:06-B*35:01-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 256  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 257  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*06:01  Japan pop 17 0.03003,078
 258  A*02:06-B*40:02-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 259  A*02:06-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 260  A*02:06-B*51:02-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 261  A*02:28-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 262  A*11:01-B*55:02-C*01:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 263  A*24:02-B*15:18-C*08:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 264  A*24:02-B*40:02-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 265  A*24:02-B*51:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 266  A*24:02-B*54:01-C*01:02-DRB1*08:09-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 267  A*24:02-B*55:02-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 268  A*24:02-B*56:01-C*01:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 269  A*26:01-B*15:01-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 270  A*26:01-B*15:18-C*08:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 271  A*26:01-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 272  A*26:03-B*15:01-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 273  A*26:03-B*35:01-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 274  A*26:03-B*40:01-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 275  A*26:03-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 276  A*26:03-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 277  A*26:03-B*54:01-C*01:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 278  A*31:01-B*15:07-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 279  A*31:01-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 280  A*31:01-B*48:01-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 281  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 282  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 283  A*31:01-B*51:02-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*14:01  Japan pop 17 0.03003,078
 284  A*33:03-B*44:03-C*14:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 285  A*33:03-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 286  A*33:03-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*14:01  Japan pop 17 0.03003,078
 287  DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*135:01  Hong Kong Chinese HKBMDR. DQ and DP 0.02491,064
 288  DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*17:01  China Zhejiang Han pop 2 0.0247833
 289  DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.02211,064
 290  DQA1*04:01-DQB1*04:02-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.01411,064
 291  DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.01311,064
 292  DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*744:01  Hong Kong Chinese HKBMDR. DQ and DP 0.01031,064

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 292 (from 292) records   Pages: 1 2 3 of 3  


   

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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