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

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*30:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01673,456,066
 402  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*14:01  Germany DKMS - German donors 0.01623,456,066
 403  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*23:01  Germany DKMS - German donors 0.01593,456,066
 404  A*31:01:02-B*07:02:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.015823,595
 405  A*02:01-B*07:02-C*12:03-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01553,456,066
 406  A*23:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.015023,595
 407  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.014711,446
 408  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Germany DKMS - German donors 0.01423,456,066
 409  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*16:01  Germany DKMS - German donors 0.01413,456,066
 410  A*23:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01404,856
 411  A*24:07-B*07:02-C*12:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.013111,446
 412  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Germany DKMS - German donors 0.01293,456,066
 413  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*19:01  Germany DKMS - German donors 0.01283,456,066
 414  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.01265,849
 415  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01254,204
 416  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*03:01  Germany DKMS - German donors 0.01233,456,066
 417  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01204,856
 418  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*13:01  Germany DKMS - German donors 0.01203,456,066
 419  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*06:01  Germany DKMS - German donors 0.01193,456,066
 420  A*24:17-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01194,204
 421  A*24:33-B*07:02-C*07:01-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01194,204
 422  A*29:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01194,204
 423  A*33:03-B*07:02-C*03:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01194,204
 424  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Germany DKMS - German donors 0.01183,456,066
 425  A*24:02:01-B*07:02:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.011723,595
 426  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*01:01  Germany DKMS - German donors 0.01163,456,066
 427  A*02:05-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01104,856
 428  A*03:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01104,856
 429  A*23:01:01-B*07:02:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.010523,595
 430  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*19:01  Germany DKMS - German donors 0.01033,456,066
 431  A*02:01:01-B*07:02:01-C*07:02:10-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.010123,595
 432  A*02:01-B*07:02-C*05:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 433  A*03:01-B*07:02-C*15:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 434  A*24:03-B*07:02-C*03:04-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 435  A*30:02-B*07:02-C*07:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 436  A*01:01-B*07:02-C*04:01-DRB1*15:01-DQB1*06:02  India South UCBB 0.009311,446
 437  A*24:02:01-B*07:02:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.009223,595
 438  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.00895,849
 439  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.00885,829
 440  A*01:43-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 441  A*02:05-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 442  A*02:06-B*07:02-C*08:01-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 443  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.00865,849
 444  A*01:01-B*07:02-C*03:04-DRB1*15:01-DQB1*06:02  India North UCBB 0.00855,849
 445  A*02:01:01-B*07:02:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.008323,595
 446  A*02:01:01-B*07:02:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.007023,595
 447  A*01:01:01-B*07:02:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.006423,595
 448  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.006111,446
 449  A*30:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005823,595
 450  A*32:01:01-B*07:02:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005623,595
 451  A*68:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005523,595
 452  A*24:07-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.004911,446
 453  A*29:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004523,595
 454  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004523,595
 455  A*11:01-B*07:02-C*15:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 456  A*03:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004323,595
 457  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Vietnamese 0.004343,540
 458  A*02:01:01-B*07:02:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004323,595
 459  A*68:01:01-B*07:02:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 460  A*31:01:02-B*07:02:03-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 461  A*02:01:01-B*07:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 462  A*03:01:01-B*07:02:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.003823,595
 463  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Vietnamese 0.003143,540
 464  A*03:01:01-B*07:02:01-C*07:02:10-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002523,595
 465  A*30:01:01-B*07:02:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002523,595
 466  A*03:01:01-B*07:02:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002523,595
 467  A*02:01:01-B*07:02:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002423,595
 468  A*24:02:01-B*07:02:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002423,595
 469  A*03:01:01-B*07:02:01-C*07:17:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002423,595
 470  A*02:01:01-B*07:02:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002423,595
 471  A*02:05:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002223,595
 472  A*11:01:01-B*07:02:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 473  A*03:01:03-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 474  A*01:01:01-B*07:02:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 475  A*01:01:03-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 476  A*02:01:52-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 477  A*03:01:01-B*07:02:01-C*08:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 478  A*24:72-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 479  A*26:01:01-B*07:02:01-C*07:02:18-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 480  A*31:01:02-B*07:02:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 481  A*32:01:01-B*07:02:01-C*07:02:10-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 482  A*25:01:01-B*07:02:01-C*07:02:10-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 483  A*03:01:01-B*07:02:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.001523,595
 484  A*33:03:01-B*07:02:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.001523,595
 485  A*29:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  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 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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