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 301 to 400 (from 430) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*31:01-B*13:02-C*04:01-DRB1*04:10-DQB1*04:02  India West UCBB 0.00865,829
 302  A*33:03-B*07:06-C*07:02-DRB1*04:10-DQB1*04:02  India West UCBB 0.00865,829
 303  A*01:01-B*52:01-C*12:02-DRB1*04:10-DQB1*04:02  India North UCBB 0.00855,849
 304  A*02:01-B*38:02-C*07:02-DRB1*04:10-DQB1*04:02  India North UCBB 0.00855,849
 305  A*11:01-B*44:02-C*05:01-DRB1*04:10-DQB1*04:02  India North UCBB 0.00855,849
 306  A*24:02-B*48:01-C*08:01-DRB1*04:10-DQB1*04:02  India North UCBB 0.00855,849
 307  A*11:01-B*15:01-C*03:03-DRB1*04:10-DQB1*04:02  India Tamil Nadu 0.00832,492
 308  A*02:01-B*18:01-DRB1*04:10  Israel Arab pop 2 0.008112,301
 309  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*04:10:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00805,266
 310  A*11:01:01-B*51:01:01-C*15:02:01-DRB1*04:10:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00755,266
 311  A*24:02-B*40:02-C*03:04-DRB1*04:10  Poland DKMS 0.007220,653
 312  A*68:01-B*07:06-C*07:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.006711,446
 313  A*11:01-B*07:02-C*07:02-DRB1*04:10  Hong Kong Chinese BMDR 0.00637,595
 314  A*02:01-B*51:01-C*15:02-DRB1*04:10  Hong Kong Chinese BMDR 0.00547,595
 315  A*02:01-B*48:01-C*08:01-DRB1*04:10  Hong Kong Chinese BMDR 0.00537,595
 316  A*11:01:01-B*51:01:01-C*15:02:01-DRB1*04:10:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00535,266
 317  A*02:11-B*51:06-C*14:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.005211,446
 318  A*02:01-B*15:01-C*03:04-DRB1*04:10  Japan pop 16 0.005018,604
 319  A*02:01-B*35:01-C*01:02-DRB1*04:10  Japan pop 16 0.005018,604
 320  A*02:01-B*35:01-C*03:04-DRB1*04:10  Japan pop 16 0.005018,604
 321  A*02:01-B*40:01-C*14:02-DRB1*04:10  Japan pop 16 0.005018,604
 322  A*02:01-B*48:01-C*08:01-DRB1*04:10  Japan pop 16 0.005018,604
 323  A*02:01-B*48:01-C*08:03-DRB1*04:10  Japan pop 16 0.005018,604
 324  A*02:01-B*52:01-C*12:02-DRB1*04:10  Japan pop 16 0.005018,604
 325  A*02:01-B*54:01-C*01:02-DRB1*04:10  Japan pop 16 0.005018,604
 326  A*02:01-B*55:02-C*01:02-DRB1*04:10  Japan pop 16 0.005018,604
 327  A*02:01-B*67:01-C*07:02-DRB1*04:10  Japan pop 16 0.005018,604
 328  A*02:06-B*15:01-C*03:03-DRB1*04:10  Japan pop 16 0.005018,604
 329  A*02:06-B*15:01-C*15:02-DRB1*04:10  Japan pop 16 0.005018,604
 330  A*02:06-B*15:18-C*07:04-DRB1*04:10  Japan pop 16 0.005018,604
 331  A*02:06-B*27:05-C*01:02-DRB1*04:10  Japan pop 16 0.005018,604
 332  A*02:06-B*40:01-C*03:04-DRB1*04:10  Japan pop 16 0.005018,604
 333  A*02:07-B*35:01-C*03:04-DRB1*04:10  Japan pop 16 0.005018,604
 334  A*02:07-B*46:01-C*01:02-DRB1*04:10  Japan pop 16 0.005018,604
 335  A*02:07-B*56:01-C*04:01-DRB1*04:10  Japan pop 16 0.005018,604
 336  A*02:18-B*38:02-C*07:02-DRB1*04:10  Japan pop 16 0.005018,604
 337  A*11:01-B*15:01-C*03:03-DRB1*04:10  Japan pop 16 0.005018,604
 338  A*11:01-B*15:01-C*04:01-DRB1*04:10  Japan pop 16 0.005018,604
 339  A*11:01-B*15:01-C*07:02-DRB1*04:10  Japan pop 16 0.005018,604
 340  A*11:01-B*39:01-C*07:02-DRB1*04:10  Japan pop 16 0.005018,604
 341  A*11:01-B*40:01-C*03:04-DRB1*04:10  Japan pop 16 0.005018,604
 342  A*11:01-B*40:02-C*03:04-DRB1*04:10  Japan pop 16 0.005018,604
 343  A*11:01-B*40:02-C*04:01-DRB1*04:10  Japan pop 16 0.005018,604
 344  A*11:01-B*48:01-C*08:03-DRB1*04:10  Japan pop 16 0.005018,604
 345  A*11:01-B*51:01-C*15:02-DRB1*04:10  Japan pop 16 0.005018,604
 346  A*11:01-B*55:12-C*01:02-DRB1*04:10  Japan pop 16 0.005018,604
 347  A*24:02-B*15:18-C*08:01-DRB1*04:10  Japan pop 16 0.005018,604
 348  A*24:02-B*40:01-C*03:04-DRB1*04:10  Japan pop 16 0.005018,604
 349  A*24:02-B*40:01-C*15:02-DRB1*04:10  Japan pop 16 0.005018,604
 350  A*24:02-B*51:01-C*03:04-DRB1*04:10  Japan pop 16 0.005018,604
 351  A*24:02-B*55:02-C*01:02-DRB1*04:10  Japan pop 16 0.005018,604
 352  A*24:02-B*55:02-C*07:02-DRB1*04:10  Japan pop 16 0.005018,604
 353  A*26:01-B*15:01-C*03:03-DRB1*04:10  Japan pop 16 0.005018,604
 354  A*26:01-B*15:01-C*07:02-DRB1*04:10  Japan pop 16 0.005018,604
 355  A*26:01-B*15:07-C*03:03-DRB1*04:10  Japan pop 16 0.005018,604
 356  A*26:01-B*39:01-C*07:02-DRB1*04:10  Japan pop 16 0.005018,604
 357  A*26:01-B*51:01-C*15:02-DRB1*04:10  Japan pop 16 0.005018,604
 358  A*26:01-B*52:01-C*12:02-DRB1*04:10  Japan pop 16 0.005018,604
 359  A*26:01-B*55:02-C*01:02-DRB1*04:10  Japan pop 16 0.005018,604
 360  A*26:01-B*56:01-C*01:02-DRB1*04:10  Japan pop 16 0.005018,604
 361  A*26:01-B*56:01-C*04:01-DRB1*04:10  Japan pop 16 0.005018,604
 362  A*26:01-B*67:01-C*07:02-DRB1*04:10  Japan pop 16 0.005018,604
 363  A*26:02-B*07:02-C*07:02-DRB1*04:10  Japan pop 16 0.005018,604
 364  A*26:02-B*15:01-C*03:03-DRB1*04:10  Japan pop 16 0.005018,604
 365  A*26:02-B*40:06-C*08:01-DRB1*04:10  Japan pop 16 0.005018,604
 366  A*26:03-B*15:01-C*03:03-DRB1*04:10  Japan pop 16 0.005018,604
 367  A*31:01-B*13:01-C*03:03-DRB1*04:10  Japan pop 16 0.005018,604
 368  A*31:01-B*40:01-C*03:03-DRB1*04:10  Japan pop 16 0.005018,604
 369  A*31:01-B*48:01-C*04:01-DRB1*04:10  Japan pop 16 0.005018,604
 370  A*33:03-B*15:01-C*03:03-DRB1*04:10  Japan pop 16 0.005018,604
 371  A*33:03-B*35:01-C*14:03-DRB1*04:10  Japan pop 16 0.005018,604
 372  A*33:03-B*39:01-C*07:02-DRB1*04:10  Japan pop 16 0.005018,604
 373  A*33:03-B*44:03-C*14:03-DRB1*04:10  Japan pop 16 0.005018,604
 374  A*33:03-B*48:01-C*08:01-DRB1*04:10  Japan pop 16 0.005018,604
 375  A*33:03-B*51:01-C*14:02-DRB1*04:10  Japan pop 16 0.005018,604
 376  A*03:01-B*40:06-C*15:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.004811,446
 377  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:10:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00475,266
 378  A*33:03-B*51:01-C*12:03-DRB1*04:10  Hong Kong Chinese BMDR 0.00477,595
 379  A*02:11-B*07:06-C*07:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.004611,446
 380  A*02:11-B*35:03-C*04:01-DRB1*04:10-DQB1*04:02  India South UCBB 0.004611,446
 381  A*01-B*58-DRB1*04:108  Chile Santiago 0.0045920
 382  A*01:01-B*15:08-C*06:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 383  A*01:01-B*15:18-C*07:04-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 384  A*01:01-B*51:06-C*14:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 385  A*02:09-B*07:06-C*07:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 386  A*02:09-B*35:01-C*04:01-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 387  A*02:09-B*39:01-C*12:03-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 388  A*02:09-B*57:01-C*14:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 389  A*02:11-B*07:06-C*03:03-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 390  A*03:01-B*15:17-C*07:01-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 391  A*03:01-B*51:01-C*15:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 392  A*11:01-B*35:03-C*12:03-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 393  A*11:01-B*39:01-C*12:04-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 394  A*11:01-B*51:01-C*07:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 395  A*24:02-B*08:01-C*07:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 396  A*24:02-B*13:01-C*04:03-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 397  A*24:02-B*40:06-C*12:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 398  A*24:11N-B*07:06-C*07:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 399  A*26:01-B*35:01-C*04:01-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 400  A*30:01-B*51:01-C*15:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446

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 430) records   Pages: 1 2 3 4 5 of 5  


   

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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