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 : 
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Displaying 201 to 272 (from 272) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*23-B*81-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 202  A*24-B*13-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 203  A*24-B*53-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 204  A*26-B*07-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 205  A*30-B*39-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 206  A*32-B*38-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 207  A*68-B*44-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 208  A*68-B*51-DRB1*04:03-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 209  A*01:01-B*15:01-C*07:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 210  A*01:01-B*37:01-C*06:02-DRB1*16:02-DQA1*01:03-DQB1*06:03-DPB1*09:01  Sri Lanka Colombo 0.0700714
 211  A*01:01-B*40:01-C*03:04-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 212  A*01:01-B*40:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 213  A*01:01-B*55:01-C*07:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 214  A*01:01-B*57:01-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 215  A*02:01-B*55:01-C*03:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 216  A*02:06-B*18:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 217  A*02:06-B*40:06-C*15:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*26:01  Sri Lanka Colombo 0.0700714
 218  A*02:11-B*35:01-C*04:01-DRB1*13:49-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 219  A*02:152-B*51:01-C*14:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*09:01  Sri Lanka Colombo 0.0700714
 220  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  Sri Lanka Colombo 0.0700714
 221  A*03:01-B*35:03-C*03:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  Sri Lanka Colombo 0.0700714
 222  A*03:01-B*35:03-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*14:01  Sri Lanka Colombo 0.0700714
 223  A*03:01-B*35:03-C*04:01-DRB1*14:33-DQA1*01:03-DQB1*06:03-DPB1*15:01  Sri Lanka Colombo 0.0700714
 224  A*03:01-B*51:01-C*07:02-DRB1*12:02-DQA1*01:03-DQB1*06:03-DPB1*21:01  Sri Lanka Colombo 0.0700714
 225  A*03:01-B*52:01-C*12:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 226  A*03:01-B*55:01-C*01:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*16:01  Sri Lanka Colombo 0.0700714
 227  A*11:01-B*08:01-C*07:02-DRB1*04:03-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 228  A*11:01-B*51:01-C*16:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 229  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*26:01  Sri Lanka Colombo 0.0700714
 230  A*11:01-B*57:01-C*03:04-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 231  A*23:01-B*07:02-C*15:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*10:01  Sri Lanka Colombo 0.0700714
 232  A*24:02-B*07:02-C*07:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*09:01  Sri Lanka Colombo 0.0700714
 233  A*24:02-B*15:113-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  Sri Lanka Colombo 0.0700714
 234  A*24:02-B*37:01-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  Sri Lanka Colombo 0.0700714
 235  A*24:02-B*39:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*10:01  Sri Lanka Colombo 0.0700714
 236  A*24:02-B*51:01-C*14:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 237  A*24:02-B*51:01-C*14:02-DRB1*14:04-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 238  A*24:03-B*51:01-C*16:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 239  A*31:01-B*40:06-C*15:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*03:01  Sri Lanka Colombo 0.0700714
 240  A*31:01-B*51:01-C*14:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 241  A*32:01-B*49:01-C*07:01-DRB1*04:03-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 242  A*33:03-B*15:17-C*07:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 243  A*33:03-B*35:01-C*03:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*17:01  Sri Lanka Colombo 0.0700714
 244  A*33:03-B*37:01-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  Sri Lanka Colombo 0.0700714
 245  A*33:03-B*39:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 246  A*33:03-B*40:06-C*07:02-DRB1*01:01-DQA1*01:03-DQB1*06:03-DPB1*26:01  Sri Lanka Colombo 0.0700714
 247  A*33:03-B*51:01-C*07:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 248  A*33:03-B*51:01-C*15:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 249  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  Sri Lanka Colombo 0.0700714
 250  A*68:01-B*35:03-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  Sri Lanka Colombo 0.0700714
 251  A*68:01-B*51:01-C*14:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*09:01  Sri Lanka Colombo 0.0700714
 252  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*26:01  Sri Lanka Colombo 0.0700714
 253  A*68:01-B*57:01-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*51:01  Sri Lanka Colombo 0.0700714
 254  A*03:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 255  A*03:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 256  DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.0600833
 257  DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*03:01  China Zhejiang Han pop 2 0.0600833
 258  DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*16:01  China Zhejiang Han pop 2 0.0600833
 259  DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:04-DPB1*15:01  China Zhejiang Han pop 2 0.0600833
 260  DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*02:02-DPB1*04:01  China Zhejiang Han pop 2 0.0494833
 261  DQA1*01:03-DQB1*06:03-DPA1*02:01-DPB1*01:01  Hong Kong Chinese HKBMDR. DQ and DP 0.04121,064
 262  DQA1*01:03-DQB1*06:03-DPA1*02:07-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.03181,064
 263  A*02:06-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 264  A*11:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 265  A*11:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 266  A*24:02-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 267  A*24:02-B*50:01-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 268  A*24:02-B*54:01-C*01:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 269  A*24:02-B*54:01-C*01:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 270  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 271  DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.02091,064
 272  A*11-B*44-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.0051641

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 272 (from 272) 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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