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 300 (from 312) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*02:01-B*57:01-C*06:02-DRB1*04:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Diego 0.2600496
 202  A*03:02-B*50:01-C*15:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 0.2600496
 203  A*24:02-B*15:03-C*02:10-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Diego 0.2600496
 204  A*25:01-B*07:02-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*10:01  USA San Diego 0.2600496
 205  A*30:01-B*15:16-C*02:10-DRB1*13:03-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Diego 0.2600496
 206  A*30:02-B*52:01-C*12:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 0.2600496
 207  A*33:01-B*14:02-C*12:03-DRB1*11:04-DQA1*05:01-DQB1*02:01-DPB1*02:01  USA San Diego 0.2600496
 208  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 0.2600496
 209  A*33:03-B*58:01-C*03:02-DRB1*03:81-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 0.2600496
 210  A*68:01-B*35:01-C*04:01-DRB1*08:02-DQA1*05:01-DQB1*02:01-DPB1*04:02  USA San Diego 0.2600496
 211  A*01-B*18-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.2354641
 212  A*02-B*08-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.2354641
 213  A*02-B*15-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.2340641
 214  A*11-B*08-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.2340641
 215  A*01:01-B*52:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*16:01  Nicaragua Managua 0.2165339
 216  A*02:01-B*14:02-C*08:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*17:01  Nicaragua Managua 0.2165339
 217  A*02:01-B*18:05-C*16:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*03:01  Nicaragua Managua 0.2165339
 218  A*02:01-B*27:05-C*02:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*17:01  Nicaragua Managua 0.2165339
 219  A*03:01-B*51:01-C*15:02-DRB1*11:01-DQA1*05:01-DQB1*02:01-DPB1*03:01  Nicaragua Managua 0.2165339
 220  A*29:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  Nicaragua Managua 0.2165339
 221  A*29:02-B*15:10-C*03:04-DRB1*04:10-DQA1*05:01-DQB1*02:01-DPB1*04:01  Nicaragua Managua 0.2165339
 222  A*30:02-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Nicaragua Managua 0.2165339
 223  A*01:01-B*57:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.2101714
 224  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*05:01  China Zhejiang Han pop 2 0.1886833
 225  A*02-B*40-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.1560641
 226  A*02-B*50-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.1560641
 227  A*11-B*53-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.1560641
 228  A*25-B*08-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.1560641
 229  A*30-B*18-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.1560641
 230  A*32-B*40-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.1560641
 231  A*68-B*14-DRB1*07:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.1560641
 232  A*68-B*15-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.1560641
 233  DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.14871,064
 234  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 235  A*11:01-B*51:01-C*14:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 236  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*09:01  Sri Lanka Colombo 0.1401714
 237  A*24:07-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 238  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*41:01  China Zhejiang Han pop 2 0.1200833
 239  DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*135:01  Hong Kong Chinese HKBMDR. DQ and DP 0.10321,064
 240  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.0975833
 241  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*03:01  China Zhejiang Han pop 2 0.0953833
 242  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.0907833
 243  A*02-B*08-DRB1*01:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 244  A*02-B*35-DRB1*11:04-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 245  A*02-B*35-DRB1*16:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 246  A*03-B*18-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 247  A*03-B*55-DRB1*12:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 248  A*03-B*58-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 249  A*23-B*18-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 250  A*23-B*44-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 251  A*24-B*35-DRB1*07:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 252  A*26-B*52-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 253  A*30-B*08-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 254  A*31-B*35-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 255  A*31-B*49-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 256  A*32-B*18-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 257  A*32-B*38-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 258  A*32-B*45-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 259  A*33-B*58-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 260  A*36-B*57-DRB1*15:03-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 261  A*68-B*37-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 262  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.0744833
 263  DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.07321,064
 264  DQA1*05:01-DQB1*02:01-DPA1*02:01-DPB1*17:01  Hong Kong Chinese HKBMDR. DQ and DP 0.07241,064
 265  A*01:01-B*40:06-C*07:01-DRB1*04:03-DQA1*05:01-DQB1*02:01-DPB1*01:01  Sri Lanka Colombo 0.0700714
 266  A*01:01-B*51:19-C*14:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*16:01  Sri Lanka Colombo 0.0700714
 267  A*01:01-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 268  A*02:01-B*18:01-C*12:03-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 269  A*02:01-B*40:06-C*15:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 270  A*02:05-B*58:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 271  A*02:05-B*58:01-C*06:02-DRB1*07:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 272  A*02:11-B*15:02-C*08:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 273  A*03:01-B*40:06-C*12:02-DRB1*14:15-DQA1*05:01-DQB1*02:01-DPB1*17:01  Sri Lanka Colombo 0.0700714
 274  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 275  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*17:01  Sri Lanka Colombo 0.0700714
 276  A*26:01-B*08:01-C*12:03-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 277  A*26:01-B*13:01-C*04:03-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 278  A*26:01-B*39:01-C*15:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 279  A*33:03-B*18:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 280  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  Sri Lanka Colombo 0.0700714
 281  A*33:03-B*58:01-C*03:02-DRB1*10:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 282  A*33:03-B*58:01-C*03:02-DRB1*11:01-DQA1*05:01-DQB1*02:01-DPB1*26:01  Sri Lanka Colombo 0.0700714
 283  A*33:03-B*58:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 284  A*68:01-B*57:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 285  DQA1*05:01-DQB1*02:01-DPA1*02:01-DPB1*14:01  Hong Kong Chinese HKBMDR. DQ and DP 0.06811,064
 286  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*04:01  China Zhejiang Han pop 2 0.0675833
 287  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*02:02  China Zhejiang Han pop 2 0.0600833
 288  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*21:01  China Zhejiang Han pop 2 0.0600833
 289  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:01-DPB1*573:01  China Zhejiang Han pop 2 0.0600833
 290  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:10-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 291  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*04:01-DPB1*03:01  China Zhejiang Han pop 2 0.0600833
 292  DRB1*11:01-DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.0600833
 293  DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*41:01  Hong Kong Chinese HKBMDR. DQ and DP 0.05551,064
 294  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*04:02  China Zhejiang Han pop 2 0.0544833
 295  DQA1*05:01-DQB1*02:01-DPA1*02:07-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.04651,064
 296  DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*21:01  Hong Kong Chinese HKBMDR. DQ and DP 0.03991,064
 297  DQA1*05:01-DQB1*02:01-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.03281,064
 298  DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*834:01  Hong Kong Chinese HKBMDR. DQ and DP 0.03221,064
 299  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  Pakistan Mixed Punjabi 0.0321389
 300  A*24:02-B*51:01-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078

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 312) 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.
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