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 485 (from 485) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.01253,456,066
 402  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*11:01  Germany DKMS - German donors 0.01233,456,066
 403  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*03:03  USA Hispanic pop 2 0.01201,999
 404  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*03:03  USA Hispanic pop 2 0.01201,999
 405  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:12  India Central UCBB 0.01194,204
 406  A*03:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 407  A*24:07-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 408  A*68:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.01183,456,066
 409  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*14:01  Germany DKMS - German donors 0.01113,456,066
 410  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.01104,856
 411  A*24:07-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.01105,829
 412  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 413  A*32:01-B*13:02-C*06:02-DRB1*07:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 414  A*29:02-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 0.010920,653
 415  A*31:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.01065,829
 416  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.01053,456,066
 417  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01035,266
 418  A*32:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.01013,456,066
 419  A*03:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.01002,492
 420  A*02:01-B*13:02-C*06:02-DRB1*07:01  Japan pop 16 0.010018,604
 421  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 422  A*30:04-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 423  A*68:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.009623,595
 424  A*33:03-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.009511,446
 425  A*24:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.009423,595
 426  A*02:06-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00935,849
 427  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00925,829
 428  A*03:02-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 0.009220,653
 429  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00915,266
 430  A*32:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.009111,446
 431  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00905,849
 432  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:02:01  Poland BMR 0.009023,595
 433  A*31:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.00894,204
 434  A*02:05-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00885,829
 435  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00885,266
 436  A*30:11-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.008711,446
 437  A*24:17-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 438  A*29:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 439  A*68:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 440  A*02:09-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 441  A*02:11-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 442  A*32:01-B*13:02-C*06:02-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 443  A*33:03-B*13:02-C*06:02-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 444  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00825,266
 445  A*02:06:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00785,266
 446  A*24:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:02:01  Poland BMR 0.007123,595
 447  A*11:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*48:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00695,266
 448  A*24:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:03:01  Poland BMR 0.006423,595
 449  A*24:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.005723,595
 450  A*11:01-B*13:02-C*06:02-DRB1*07:01  Hong Kong Chinese BMDR 0.00537,595
 451  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.005223,595
 452  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00515,266
 453  A*02:06:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00515,266
 454  A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.004723,595
 455  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004611,446
 456  A*29:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004523,595
 457  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.004411,446
 458  A*33:03-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 0.004420,653
 459  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:04:01  Poland BMR 0.004223,595
 460  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*04:02:01  Poland BMR 0.004223,595
 461  A*66:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003523,595
 462  A*68:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003523,595
 463  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:03:01  Poland BMR 0.003423,595
 464  A*02:11-B*13:02-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.003011,446
 465  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002923,595
 466  A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:02:01  Poland BMR 0.002923,595
 467  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:01:01  Poland BMR 0.002823,595
 468  A*33:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002823,595
 469  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002523,595
 470  A*02:35-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 0.002420,653
 471  A*26:01:40-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002323,595
 472  A*32:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002223,595
 473  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 474  A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 475  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 476  A*23:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 477  A*24:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:03:01  Poland BMR 0.002123,595
 478  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:04:01  Poland BMR 0.002123,595
 479  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 480  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 481  A*68:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.000831323,595
 482  A*26:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.000711623,595
 483  A*26:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.000395423,595
 484  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:02:01  Poland BMR 0.000128823,595
 485  A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:02:01  Poland BMR 0.000100723,595

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 485 (from 485) 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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