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 301 to 400 (from 669) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.1682833
 302  DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*21:01  Hong Kong Chinese HKBMDR. DQ and DP 0.16641,064
 303  A*26:01-B*40:01-C*07:02-DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*06:01  Japan pop 17 0.16003,078
 304  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*05:01  China Zhejiang Han pop 2 0.1576833
 305  A*01-B*58-DRB1*11:04-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 306  A*02-B*49-DRB1*11:02-DQA1*05:05-DQB1*03:19  Brazil Paraná Caucasian 0.1560641
 307  A*03-B*07-DRB1*11:04-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 308  A*03-B*56-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 309  A*23-B*38-DRB1*11:04-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 310  A*24-B*07-DRB1*12:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 311  A*24-B*39-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 312  A*25-B*07-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 313  A*26-B*57-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 314  A*31-B*35-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 315  A*32-B*15-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1560641
 316  A*33-B*57-DRB1*07:01-DQA1*05:05-DQB1*03:03  Brazil Paraná Caucasian 0.1560641
 317  DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*05:01  China Zhejiang Han pop 2 0.1504833
 318  DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.14311,064
 319  A*24:02-B*40:01-C*03:04-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.13003,078
 320  DQA1*05:05-DQB1*03:01-DPA1*02:01-DPB1*09:01  Hong Kong Chinese HKBMDR. DQ and DP 0.12831,064
 321  A*02-B*52-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.1259641
 322  DRB1*11:04-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.1200833
 323  DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*03:01  China Zhejiang Han pop 2 0.1200833
 324  DRB1*13:07-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.1155833
 325  DQA1*05:05-DQB1*03:01-DPA1*02:01-DPB1*05:01  Hong Kong Chinese HKBMDR. DQ and DP 0.11291,064
 326  DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.10351,064
 327  DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.1028833
 328  DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1008833
 329  A*24:02-B*40:06-C*08:01-DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.10003,078
 330  A*26:02-B*40:06-C*08:01-DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.10003,078
 331  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:02  China Zhejiang Han pop 2 0.0975833
 332  A*11-B*35-DRB1*11:04-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0971641
 333  A*33-B*44-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0962641
 334  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*03:01  China Zhejiang Han pop 2 0.0961833
 335  DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*19:01  Hong Kong Chinese HKBMDR. DQ and DP 0.09021,064
 336  A*29-B*51-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0872641
 337  A*02-B*44-DRB1*11:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0859641
 338  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*38:01  China Zhejiang Han pop 2 0.0852833
 339  A*29-B*38-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0843641
 340  A*68-B*18-DRB1*11:04-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0833641
 341  A*01-B*07-DRB1*12:01-DQA1*05:05-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 342  A*01-B*13-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 343  A*01-B*15-DRB1*13:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 344  A*01-B*27-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 345  A*01-B*35-DRB1*11:01-DQA1*05:05-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 346  A*01-B*35-DRB1*13:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 347  A*01-B*37-DRB1*11:01-DQA1*05:05-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 348  A*01-B*41-DRB1*13:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 349  A*01-B*44-DRB1*04:05-DQA1*05:05-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 350  A*01-B*47-DRB1*11:04-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 351  A*01-B*52-DRB1*11:04-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 352  A*01-B*57-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 353  A*01-B*57-DRB1*13:02-DQA1*05:05-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 354  A*01-B*58-DRB1*13:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 355  A*02-B*13-DRB1*11:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 356  A*02-B*15-DRB1*04:01-DQA1*05:05-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 357  A*02-B*15-DRB1*11:03-DQA1*05:05-DQB1*03:19  Brazil Paraná Caucasian 0.0780641
 358  A*02-B*15-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 359  A*02-B*18-DRB1*11:39-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 360  A*02-B*27-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 361  A*02-B*35-DRB1*08:10-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 362  A*02-B*38-DRB1*13:14-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 363  A*02-B*39-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 364  A*02-B*40-DRB1*01:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 365  A*02-B*40-DRB1*11:04-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 366  A*02-B*41-DRB1*12:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 367  A*02-B*44-DRB1*12:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 368  A*02-B*51-DRB1*04:05-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 369  A*02-B*51-DRB1*11:09-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 370  A*02-B*51-DRB1*13:01-DQA1*05:05-DQB1*06:04  Brazil Paraná Caucasian 0.0780641
 371  A*02-B*51-DRB1*13:05-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 372  A*02-B*58-DRB1*13:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 373  A*03-B*15-DRB1*04:02-DQA1*05:05-DQB1*03:19  Brazil Paraná Caucasian 0.0780641
 374  A*03-B*35-DRB1*04:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 375  A*03-B*38-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 376  A*03-B*45-DRB1*11:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 377  A*03-B*49-DRB1*13:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 378  A*11-B*14-DRB1*11:04-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 379  A*11-B*15-DRB1*11:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 380  A*11-B*27-DRB1*11:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 381  A*11-B*35-DRB1*13:01-DQA1*05:05-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 382  A*11-B*39-DRB1*13:01-DQA1*05:05-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 383  A*11-B*40-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 384  A*11-B*48-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 385  A*11-B*51-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 386  A*11-B*57-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 387  A*23-B*07-DRB1*11:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 388  A*23-B*35-DRB1*13:05-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 389  A*24-B*14-DRB1*15:03-DQA1*05:05-DQB1*06:02  Brazil Paraná Caucasian 0.0780641
 390  A*24-B*15-DRB1*11:01-DQA1*05:05-DQB1*03:19  Brazil Paraná Caucasian 0.0780641
 391  A*24-B*15-DRB1*13:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 392  A*24-B*35-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 393  A*24-B*39-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 394  A*24-B*40-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 395  A*24-B*41-DRB1*11:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 396  A*24-B*41-DRB1*13:05-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 397  A*24-B*51-DRB1*11:04-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 398  A*24-B*55-DRB1*11:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 399  A*25-B*44-DRB1*12:01-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 400  A*26-B*13-DRB1*16:02-DQA1*05:05-DQB1*03:02  Brazil Paraná Caucasian 0.0780641

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 301 to 400 (from 669) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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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