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 401 to 469 (from 469) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*01:01:01-B*41:01:01-C*17:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 402  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*10:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 403  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*10:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 404  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*14:54:01-DQB1*03:01:01  Poland BMR 0.002123,595
 405  A*02:05:01-B*41:01:01-C*17:01:01-DRB1*08:04:01-DQB1*04:02:01  Poland BMR 0.002123,595
 406  A*02:17:02-B*41:01:01-C*17:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 407  A*02:686-B*41:01:01-C*17:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 408  A*03:01:01-B*41:01:01-C*17:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 409  A*11:01:01-B*41:01:01-C*17:01:01-DRB1*04:03:01-DQB1*03:05:01  Poland BMR 0.002123,595
 410  A*23:01:01-B*41:01:01-C*17:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 411  A*26:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 412  A*26:01:01-B*41:01:01-C*17:01:01-DRB1*11:02:01-DQB1*03:19:01  Poland BMR 0.002123,595
 413  A*29:01:01-B*41:01:01-C*17:01:01-DRB1*11:03:01-DQB1*02:01:01  Poland BMR 0.002123,595
 414  A*30:04:01-B*41:01:01-C*17:01:01-DRB1*11:02:01-DQB1*03:19:01  Poland BMR 0.002123,595
 415  A*31:01:02-B*41:01:01-C*17:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 416  A*32:01:01-B*41:01:01-C*17:01:01-DRB1*04:02:01-DQB1*02:01:01  Poland BMR 0.002123,595
 417  A*68:01:02-B*41:01:01-C*17:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 418  A*23:01:01-B*41:01:01-C*17:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 419  A*03:01:01-B*41:01:01-C*17:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002023,595
 420  A*30:04:01-B*41:01:01-C*17:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002023,595
 421  A*01:01-B*41:01-C*17:01-DRB1*15:01  Poland DKMS 0.002020,653
 422  A*68:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.001823,595
 423  A*24:02-B*41:01-C*17:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.00172,492
 424  A*24:03-B*41:01-C*17:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.00172,492
 425  A*24:07-B*41:01-C*17:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.00172,492
 426  A*24:10-B*41:01-C*17:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.00172,492
 427  A*24:17-B*41:01-C*17:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.00172,492
 428  A*24:32-B*41:01-C*17:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.00172,492
 429  A*24:55-B*41:01-C*17:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.00172,492
 430  A*32:01-B*41:01-C*17:01-DRB1*04:02  Poland DKMS 0.001620,653
 431  A*25:01:01-B*41:01:01-C*17:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.001523,595
 432  A*25:01-B*41:01-C*17:01-DRB1*10:01  Poland DKMS 0.001320,653
 433  A*68:01-B*41:01-C*17:01  Pakistan Mixed Punjabi 0.0013389
 434  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*01:01:01-DQB1*03:03:02  Poland BMR 0.001323,595
 435  A*32:01-B*41:01-C*17:01-DRB1*10:01  Poland DKMS 0.001220,653
 436  A*11:01-B*41:01-C*17:01-DRB1*03:01  Poland DKMS 0.001120,653
 437  A*02:01-B*41:01-C*17:01-DRB1*13:01  Poland DKMS 0.000800020,653
 438  B*41:01-C*17:01  China Hubei Han 0.00070003,732
 439  A*24:02-B*41:01-C*17:01-DRB1*11:04-DQB1*03:01  India Tamil Nadu 0.00030002,492
 440  A*24:02-B*41:01-C*17:01-DRB1*11:06-DQB1*03:01  India Tamil Nadu 0.00030002,492
 441  A*24:02-B*41:01-C*17:01-DRB1*11:08-DQB1*03:01  India Tamil Nadu 0.00030002,492
 442  A*24:02-B*41:01-C*17:01-DRB1*11:11-DQB1*03:01  India Tamil Nadu 0.00030002,492
 443  A*24:03-B*41:01-C*17:01-DRB1*11:04-DQB1*03:01  India Tamil Nadu 0.00030002,492
 444  A*24:03-B*41:01-C*17:01-DRB1*11:06-DQB1*03:01  India Tamil Nadu 0.00030002,492
 445  A*24:03-B*41:01-C*17:01-DRB1*11:08-DQB1*03:01  India Tamil Nadu 0.00030002,492
 446  A*24:03-B*41:01-C*17:01-DRB1*11:11-DQB1*03:01  India Tamil Nadu 0.00030002,492
 447  A*24:07-B*41:01-C*17:01-DRB1*11:04-DQB1*03:01  India Tamil Nadu 0.00030002,492
 448  A*24:07-B*41:01-C*17:01-DRB1*11:06-DQB1*03:01  India Tamil Nadu 0.00030002,492
 449  A*24:07-B*41:01-C*17:01-DRB1*11:08-DQB1*03:01  India Tamil Nadu 0.00030002,492
 450  A*24:07-B*41:01-C*17:01-DRB1*11:11-DQB1*03:01  India Tamil Nadu 0.00030002,492
 451  A*24:10-B*41:01-C*17:01-DRB1*11:04-DQB1*03:01  India Tamil Nadu 0.00030002,492
 452  A*24:10-B*41:01-C*17:01-DRB1*11:06-DQB1*03:01  India Tamil Nadu 0.00030002,492
 453  A*24:10-B*41:01-C*17:01-DRB1*11:08-DQB1*03:01  India Tamil Nadu 0.00030002,492
 454  A*24:10-B*41:01-C*17:01-DRB1*11:11-DQB1*03:01  India Tamil Nadu 0.00030002,492
 455  A*24:17-B*41:01-C*17:01-DRB1*11:04-DQB1*03:01  India Tamil Nadu 0.00030002,492
 456  A*24:17-B*41:01-C*17:01-DRB1*11:06-DQB1*03:01  India Tamil Nadu 0.00030002,492
 457  A*24:17-B*41:01-C*17:01-DRB1*11:08-DQB1*03:01  India Tamil Nadu 0.00030002,492
 458  A*24:17-B*41:01-C*17:01-DRB1*11:11-DQB1*03:01  India Tamil Nadu 0.00030002,492
 459  A*24:32-B*41:01-C*17:01-DRB1*11:04-DQB1*03:01  India Tamil Nadu 0.00030002,492
 460  A*24:32-B*41:01-C*17:01-DRB1*11:06-DQB1*03:01  India Tamil Nadu 0.00030002,492
 461  A*24:32-B*41:01-C*17:01-DRB1*11:08-DQB1*03:01  India Tamil Nadu 0.00030002,492
 462  A*24:32-B*41:01-C*17:01-DRB1*11:11-DQB1*03:01  India Tamil Nadu 0.00030002,492
 463  A*24:55-B*41:01-C*17:01-DRB1*11:04-DQB1*03:01  India Tamil Nadu 0.00030002,492
 464  A*24:55-B*41:01-C*17:01-DRB1*11:06-DQB1*03:01  India Tamil Nadu 0.00030002,492
 465  A*24:55-B*41:01-C*17:01-DRB1*11:08-DQB1*03:01  India Tamil Nadu 0.00030002,492
 466  A*24:55-B*41:01-C*17:01-DRB1*11:11-DQB1*03:01  India Tamil Nadu 0.00030002,492
 467  A*01:01:01-B*41:01:01-C*17:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.000264823,595
 468  A*68:01-B*41:01-C*17:01-DRB1*04:05  Poland DKMS 0.000100020,653
 469  A*02:05-B*41:01-C*17:01  Italy pop 5 0.0000000975

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 401 to 469 (from 469) 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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