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 1,707) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 18  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.09394,204
 502  A*31:01:02-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.093628,927
 503  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.092628,927
 504  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Mexican or Chicano 0.0911261,235
 505  DRB1*01:01-DQB1*06:04  Italy pop 5 0.0900975
 506  DRB1*03:01-DQB1*06:04  Italy pop 5 0.0900975
 507  DRB1*15:01-DQB1*06:04  Italy pop 5 0.0900975
 508  A*01:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.08904,856
 509  A*68:02-B*53:01-C*06:02-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.08702,411
 510  A*68:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.08702,411
 511  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Caribean Black 0.086233,328
 512  A*01:01-B*15:03-C*02:10-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.08601,159
 513  A*02:01-B*07:02-C*07:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.08601,159
 514  A*26:01-B*51:01-C*16:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.08601,159
 515  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.08601,159
 516  A*32:01-B*18:01-C*12:03-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.08601,159
 517  A*68:01-B*44:02-C*07:04-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.08601,159
 518  A*02:01-B*51:08-C*16:02-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.08541,463
 519  A*11:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.08545,849
 520  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.07904,856
 521  A*01-B*52-DRB1*13:02-DQA1*04:01-DQB1*06:04  Brazil Paraná Caucasian 0.0780641
 522  A*02-B*51-DRB1*13:01-DQA1*05:05-DQB1*06:04  Brazil Paraná Caucasian 0.0780641
 523  A*02-B*58-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Paraná Caucasian 0.0780641
 524  A*11-B*51-DRB1*01:01-DQA1*01:03-DQB1*06:04  Brazil Paraná Caucasian 0.0780641
 525  A*23-B*44-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Paraná Caucasian 0.0780641
 526  A*23-B*53-DRB1*11:04-DQA1*01:02-DQB1*06:04  Brazil Paraná Caucasian 0.0780641
 527  A*29-B*45-DRB1*01:02-DQA1*01:02-DQB1*06:04  Brazil Paraná Caucasian 0.0780641
 528  A*30-B*49-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Paraná Caucasian 0.0780641
 529  A*31-B*35-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Paraná Caucasian 0.0780641
 530  A*33-B*15-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Paraná Caucasian 0.0780641
 531  A*68-B*57-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Paraná Caucasian 0.0780641
 532  A*66:01:01-B*58:02-C*06:02:01-DRB1*13:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0754221
 533  A*01:01:01-B*44:02:01-C*05:01:01-DRB1*13:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0748221
 534  A*01:01:01-B*15:01:01-C*03:03:01-DRB1*13:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0730221
 535  DRB1*03:02-DQB1*06:04-DPB1*55:01  Gambia pop 3 0.0726939
 536  DRB1*04:05-DQB1*06:04-DPB1*105:01  Gambia pop 3 0.0726939
 537  DRB1*13:02-DQB1*06:04-DPB1*105:01  Gambia pop 3 0.0726939
 538  DRB1*13:02-DQB1*06:04-DPB1*18:01  Gambia pop 3 0.0726939
 539  DRB1*13:04-DQB1*06:04-DPB1*131:01  Gambia pop 3 0.0726939
 540  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP African 0.070528,557
 541  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.07022,492
 542  A*01:01-B*44:03-C*07:01-DRB1*14:04-DQA1*01:01-DQB1*06:04-DPB1*13:01  Sri Lanka Colombo 0.0700714
 543  A*02:03-B*39:01-C*12:04-DRB1*04:01-DQA1*01:02-DQB1*06:04-DPB1*04:02  Sri Lanka Colombo 0.0700714
 544  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  Sri Lanka Colombo 0.0700714
 545  A*02:11-B*51:06-C*14:02-DRB1*04:04-DQA1*03:01-DQB1*06:04-DPB1*01:01  Sri Lanka Colombo 0.0700714
 546  A*03:01-B*27:05-C*01:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  Sri Lanka Colombo 0.0700714
 547  A*11:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  Sri Lanka Colombo 0.0700714
 548  A*33:03-B*15:01-C*01:02-DRB1*14:04-DQA1*01:01-DQB1*06:04-DPB1*13:01  Sri Lanka Colombo 0.0700714
 549  A*68:01-B*15:01-C*01:02-DRB1*04:01-DQA1*03:01-DQB1*06:04-DPB1*02:01  Sri Lanka Colombo 0.0700714
 550  A*02:01-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Japan pop 17 0.07003,078
 551  A*02:01-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*02:01  Japan pop 17 0.07003,078
 552  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:02  Japan pop 17 0.07003,078
 553  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*03:01  Japan pop 17 0.07003,078
 554  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*06:01  Japan pop 17 0.07003,078
 555  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:01-DPB1*09:01  Japan pop 17 0.07003,078
 556  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*03:01  Japan pop 17 0.07003,078
 557  DRB1*04:02-DQB1*06:04  Italy pop 5 0.0700975
 558  A*03:01:01-B*35:03:01-C*04:01:01-DRB1*13:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0696221
 559  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.068823,595
 560  A*24:02:01-B*35:02:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0686221
 561  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*13:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0685221
 562  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.06841,463
 563  A*02:05-B*35:08-C*06:02-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.06841,463
 564  A*03:01-B*44:03-C*16:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.06841,463
 565  A*24:02-B*44:02-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.06841,463
 566  A*31:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.06841,463
 567  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 568  A*01:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 569  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 570  A*02:01-B*44:02-C*05:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 571  A*02:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 572  A*03:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 573  A*11:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 574  A*23:01-B*44:03-C*02:02-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 575  A*26:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 576  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 577  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.06621,510
 578  A*01:01:01:01-B*35:08:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.06621,510
 579  A*01:01:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.06621,510
 580  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.06621,510
 581  A*29:01:01:01-B*07:05:01-C*15:05:02-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.06621,510
 582  A*68:02:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.06621,510
 583  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:02-DPB1*04:01  China Zhejiang Han pop 2 0.0653833
 584  A*01:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.06502,411
 585  A*23:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0646221
 586  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.063323,595
 587  A*01:01-B*57:01-C*06:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.06204,856
 588  A*32:01-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.06204,856
 589  A*33:03-B*44:03-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.06082,492
 590  A*03:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Russia Karelia 0.06051,075
 591  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.06032,492
 592  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP European Caucasian 0.06011,242,890
 593  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*03:01  China Zhejiang Han pop 2 0.0600833
 594  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.0600833
 595  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04-DPB1*04:01  Germany DKMS - German donors 0.05953,456,066
 596  A*02:06:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DQB1*06:04:01  China Zhejiang Han 0.05771,734
 597  A*24:02:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  China Zhejiang Han 0.05771,734
 598  A*11:01-B*07:02-C*07:02-DRB1*13:02-DQB1*06:04-DPB1*03:01  Russia Karelia 0.05681,075
 599  A*02:01-B*40:01-C*07:02-DRB1*13:02-DQB1*06:04-DPB1*03:01  Russia Karelia 0.05661,075
 600  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04-DPB1*04:01  Russia Karelia 0.05651,075

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 1,707) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 18  


   

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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