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 501 to 600 (from 828) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.03704,856
 502  A*26:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 0.03685,849
 503  A*01:01-B*44:03-C*05:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.03574,204
 504  A*24:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.03504,856
 505  A*11:01-B*44:03-C*15:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.034911,446
 506  A*01:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03491,463
 507  A*11:01-B*44:03-C*05:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.03435,829
 508  A*26:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.03425,849
 509  A*01:01-B*44:03-C*02:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 510  A*02:01-B*44:02-C*07:04-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 511  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 512  A*23:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 513  A*23:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 514  A*31:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 515  A*66:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 516  A*68:01-B*44:02-C*02:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 517  A*02:01-B*44:02-C*05:09-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 518  A*02:01-B*44:03-C*02:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 519  A*02:05-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 520  A*03:01-B*44:03-C*02:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 521  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 522  A*11:01-B*44:03-C*01:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 523  A*23:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 524  A*23:01-B*44:130-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 525  A*26:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 526  A*26:08-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 527  A*29:02-B*44:03-C*02:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 528  A*32:01-B*44:03-C*02:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 529  A*33:03-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 530  A*68:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 531  A*68:01-B*44:03-C*05:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 532  A*68:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 533  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.03333,456,066
 534  A*01:01:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 535  A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 536  A*03:01:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 537  A*11:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*07:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 538  A*26:01-B*44:05:01-C*01:02:01-DRB1*07:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 539  A*31:01:02:01-B*44:03:02-C*12:03:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 540  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*14:01  Germany DKMS - German donors 0.03283,456,066
 541  A*68:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.032511,446
 542  A*24:07-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 0.03214,204
 543  A*03:01-B*44:02-C*07:04-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.03104,856
 544  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 545  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.02881,734
 546  A*26:01:01-B*44:03:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.02881,734
 547  A*31:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02864,204
 548  A*11:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.028223,595
 549  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.02803,456,066
 550  A*01:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.028023,595
 551  A*24:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.027611,446
 552  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*13:01  Germany DKMS - German donors 0.02673,456,066
 553  A*32:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.02635,849
 554  A*32:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02624,204
 555  A*11:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02604,856
 556  A*11:01-B*44:03-C*15:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.02575,829
 557  A*11:01-B*44:03-C*14:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.02565,849
 558  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02504,204
 559  A*24:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02482,492
 560  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02404,856
 561  A*01:01-B*44:03-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02384,204
 562  A*02:11-B*44:03-C*05:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02384,204
 563  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:110  India Central UCBB 0.02384,204
 564  A*31:01:02-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.023723,595
 565  A*31:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 0.02362,403
 566  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.02353,456,066
 567  A*24:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.023423,595
 568  A*02:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India West UCBB 0.02325,829
 569  A*03:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*11:01  Germany DKMS - German donors 0.02303,456,066
 570  A*24:02-B*44:03-C*15:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.02292,403
 571  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.02223,456,066
 572  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:03  India Tamil Nadu 0.02212,492
 573  A*32:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 0.02215,849
 574  A*02:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.02202,411
 575  A*11:01-B*44:02-C*07:04-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.02201,772
 576  A*24:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.02201,772
 577  A*68:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.02202,411
 578  A*02:01-B*44:02-C*14:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 579  A*02:01-B*44:03-C*02:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 580  A*02:01-B*44:03-C*14:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 581  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 582  A*03:01-B*44:03-C*07:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 583  A*11:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 584  A*24:02-B*44:05-C*02:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 585  A*33:03-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 586  A*68:01-B*44:03-C*14:03-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 587  A*01:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 588  A*01:01-B*44:03-C*03:04-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 589  A*01:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:110  India East UCBB 0.02082,403
 590  A*02:01-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 591  A*02:131-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 592  A*03:01-B*44:02-C*07:04-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 593  A*11:01-B*44:03-C*02:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 594  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 595  A*31:06-B*44:03-C*15:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 596  A*33:03-B*44:03-C*06:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 597  A*68:01-B*44:03-C*02:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 598  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.02075,829
 599  A*02:131-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.020711,446
 600  A*03:01:01-B*44:03:01-C*04:01:01-DRB1*07:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.0206221

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 828) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  


   

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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