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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 501 to 600 (from 641) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*03:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*03:01  Germany DKMS - German donors 0.03973,456,066
 502  A*31:01-B*35:20-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03841,463
 503  A*02:13-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03661,463
 504  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.036223,595
 505  A*24:02-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03561,463
 506  A*68:02-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03501,463
 507  A*02:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  India West UCBB 0.03435,829
 508  A*02:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  India North UCBB 0.03425,849
 509  A*01:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 510  A*03:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 511  A*24:02-B*35:10-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 512  A*24:03-B*35:117-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 513  A*29:02-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 514  A*01:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 515  A*03:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 516  A*24:02-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 517  A*24:02-B*35:02-C*04:01-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 518  A*24:02-B*35:05-C*04:01-DRB1*08:02-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 519  A*74:03-B*35:01-C*04:01-DRB1*08:04-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 520  A*11:01:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 521  A*24:02:01:01-B*35:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 522  A*24:02:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 523  A*29:01:01:01-B*35:03:01-C*07:04:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 524  A*31:01:02:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 525  A*68:01:02:02-B*35:01:01:02-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 526  A*24-B*35-C*01-DRB1*08-DQA1*03-DQB1*04  Spain, Castilla y Leon, Northwest, 0.03281,743
 527  A*02:01-B*35:01-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 528  A*02:01-B*35:01-C*08:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 529  A*02:01-B*35:01-C*08:01-DRB1*08:02-DQA1*06:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 530  A*02:06-B*35:01-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 531  A*11-B*35-C*04-DRB1*08-DQB1*04-DPB1*10  Norway ethnic Norwegians 0.03004,510
 532  A*26:03-B*35:01-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 533  A*68:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.028923,595
 534  A*01:01:01-B*35:01:01-C*03:03:01-DRB1*08:09:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 535  A*02:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02-DPB1*04:01  Germany DKMS - German donors 0.02853,456,066
 536  A*01:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  India North UCBB 0.02565,849
 537  A*02:11-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  India Central UCBB 0.02384,204
 538  A*03:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  India Central UCBB 0.02384,204
 539  A*02:01-B*35:12-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.02301,999
 540  A*02:06-B*35:12-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.02301,999
 541  A*02:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  USA Asian pop 2 0.02201,772
 542  A*03:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.02104,856
 543  A*68:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.02104,856
 544  A*68:01-B*35:08-C*04:01-DRB1*08:04-DQB1*04:02  Germany DKMS - Turkey minority 0.02104,856
 545  A*11:01-B*35:03-C*12:03-DRB1*08:01-DQB1*04:02  India East UCBB 0.02082,403
 546  A*01:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.020723,595
 547  A*31:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02  India Tamil Nadu 0.02012,492
 548  A*01-B*35-C*04-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.02004,510
 549  A*03-B*35-C*04-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.02004,510
 550  A*68-B*35-C*03-DRB1*08-DQB1*04-DPB1*03  Norway ethnic Norwegians 0.02004,510
 551  A*68-B*35-C*04-DRB1*08-DQB1*04-DPB1*10  Norway ethnic Norwegians 0.02004,510
 552  A*02:01-B*35:30-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.01951,463
 553  A*03:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.018523,595
 554  A*03:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*04:01  Germany DKMS - German donors 0.01773,456,066
 555  A*26:01-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  India West UCBB 0.01725,829
 556  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  India South UCBB 0.017011,446
 557  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP North American Amerindian 0.016535,791
 558  A*68:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*04:01  Germany DKMS - German donors 0.01613,456,066
 559  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.014323,595
 560  A*03:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*03:01  Germany DKMS - German donors 0.01323,456,066
 561  A*02:06-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  India South UCBB 0.013111,446
 562  A*68:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*03:01  Germany DKMS - German donors 0.01253,456,066
 563  A*02:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 564  A*11:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 565  A*24:02-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 566  A*30:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 567  A*34:02-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 568  A*68:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 569  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.012023,595
 570  A*01:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  India Central UCBB 0.01194,204
 571  A*02:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  India Central UCBB 0.01194,204
 572  A*02:06-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  India Central UCBB 0.01194,204
 573  A*02:131-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  India Central UCBB 0.01194,204
 574  A*11:01-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  India South UCBB 0.011911,446
 575  A*24:03-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02  India Central UCBB 0.01194,204
 576  A*02:01-B*35:01-C*03:03-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.01101,772
 577  A*26:01-B*35:01-C*03:03-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.01101,772
 578  A*03:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*04:01  Germany DKMS - German donors 0.01063,456,066
 579  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.010523,595
 580  A*68:01:02-B*35:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.010323,595
 581  A*01:01-B*35:08-C*15:02-DRB1*08:04-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 582  A*01-B*35-C*03-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.01004,510
 583  A*02:01-B*35:02-C*06:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 584  A*02:17-B*35:08-C*04:01-DRB1*08:04-DQB1*04:03  Germany DKMS - Turkey minority 0.01004,856
 585  A*02-B*35-C*05-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.01004,510
 586  A*02-B*35-C*14-DRB1*08-DQB1*04-DPB1*03  Norway ethnic Norwegians 0.01004,510
 587  A*03-B*35-C*03-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.01004,510
 588  A*11-B*35-C*04-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.01004,510
 589  A*24-B*35-C*04-DRB1*08-DQB1*04-DPB1*17  Norway ethnic Norwegians 0.01004,510
 590  A*30:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 591  A*30-B*35-C*03-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.01004,510
 592  A*31-B*35-C*03-DRB1*08-DQB1*04-DPB1*10  Norway ethnic Norwegians 0.01004,510
 593  A*68:01-B*35:01-C*01:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 594  A*68-B*35-C*03-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.01004,510
 595  A*68-B*35-C*04-DRB1*08-DQB1*04-DPB1*01  Norway ethnic Norwegians 0.01004,510
 596  A*69:01-B*35:08-C*12:03-DRB1*08:04-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 597  A*32:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02  India North UCBB 0.00965,849
 598  A*32:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02  India North UCBB 0.00935,849
 599  A*03:02-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02  India West UCBB 0.00865,829
 600  A*11:01-B*35:03-C*12:03-DRB1*08:02-DQB1*04:02  India West UCBB 0.00865,829

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 501 to 600 (from 641) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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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