Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 401 to 500 (from 573) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*23:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 402  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 403  A*29:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 404  A*32:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 405  A*69:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 406  A*68:01:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.033623,595
 407  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.033123,595
 408  A*02:01:01:01-B*08:01:01-C*07:01:08-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 409  A*11:01:01:01-B*08:01:01-C*07:02:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 410  A*24:02:01:01-B*08:01:01-C*07:02:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 411  A*29:02:01:01-B*08:01:01-C*07:02:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 412  A*68:01:02:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 413  A*68:01:02:02-B*08:01:01-C*07:02:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 414  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.03303,456,066
 415  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.03283,456,066
 416  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.03145,849
 417  A*24:07-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.03105,829
 418  A*03:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.030823,595
 419  A*01:01-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.030611,446
 420  A*68:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.03063,456,066
 421  A*32:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.030311,446
 422  A*33:03:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.02921,734
 423  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Filipino 0.029150,614
 424  A*25:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.02903,456,066
 425  A*01:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.02881,734
 426  A*26:01-B*08:01-C*07:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Vietnamese 0.028243,540
 427  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*20:01  Germany DKMS - German donors 0.02693,456,066
 428  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*13:01  Germany DKMS - German donors 0.02603,456,066
 429  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02504,856
 430  A*32:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.02504,204
 431  A*02:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.024823,595
 432  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.02473,456,066
 433  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*06:01  Germany DKMS - German donors 0.02343,456,066
 434  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.02312,403
 435  A*32:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.02253,456,066
 436  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.02243,456,066
 437  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02204,856
 438  A*68:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.02173,456,066
 439  A*29:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.021723,595
 440  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.02163,456,066
 441  A*11:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 442  A*11:03-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.02082,403
 443  A*33:03-B*08:01-C*05:01-DRB1*03:01-DQB1*02:01  India East UCBB 0.02082,403
 444  A*32:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02072,492
 445  A*26:01-B*08:01-C*07:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Caribean Black 0.020333,328
 446  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*14:01  Germany DKMS - German donors 0.02023,456,066
 447  A*01:01-B*08:01-C*06:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 448  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 449  A*02:16-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 450  A*23:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 451  A*25:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 452  A*68:01-B*08:01-C*07:314-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 453  A*02:06-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.019311,446
 454  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*19:01  Germany DKMS - German donors 0.01903,456,066
 455  A*33:03-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.018011,446
 456  A*68:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01804,204
 457  A*32:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.01785,849
 458  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.01743,456,066
 459  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  India North UCBB 0.01715,849
 460  A*24:02-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.01715,849
 461  A*32:01-B*08:01-C*05:01-DRB1*03:01-DQB1*02:01  India North UCBB 0.01715,849
 462  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*15:01  Germany DKMS - German donors 0.01713,456,066
 463  A*31:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.01653,456,066
 464  A*31:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.01643,456,066
 465  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.01633,456,066
 466  A*32:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.016223,595
 467  A*23:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.01613,456,066
 468  A*02:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.015611,446
 469  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.015523,595
 470  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Chinese 0.015499,672
 471  A*02:06-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.01523,456,066
 472  A*26:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.01503,456,066
 473  A*31:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.01435,829
 474  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*11:01  Germany DKMS - German donors 0.01373,456,066
 475  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.01293,456,066
 476  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.01263,456,066
 477  A*02:01-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.012611,446
 478  A*01:01-B*08:01-C*02:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01214,204
 479  A*02:06-B*08:01-C*07:556-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01194,204
 480  A*02:131-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01194,204
 481  A*24:02-B*08:01-C*05:01-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01194,204
 482  A*24:07-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01194,204
 483  A*33:03-B*08:01-C*05:01-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01194,204
 484  A*29:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.011711,446
 485  A*02:05-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.01155,849
 486  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.01143,456,066
 487  A*02:05-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01104,856
 488  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.01101,772
 489  A*24:07-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.01101,772
 490  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*23:01  Germany DKMS - German donors 0.01073,456,066
 491  A*68:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.010723,595
 492  A*26:01-B*08:01-C*07:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP North American Amerindian 0.010535,791
 493  A*30:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.010323,595
 494  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.01033,456,066
 495  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*09:01  Germany DKMS - German donors 0.01023,456,066
 496  A*30:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.01015,849
 497  A*31:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.01002,492
 498  A*01:01-B*08:01-C*05:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 499  A*26:08-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 500  A*29:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856

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 500 (from 573) records   Pages: 1 2 3 4 5 6 of 6  


   

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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