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 601 to 700 (from 3,183) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 32  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*02:02-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 602  A*02:06-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 603  A*02:06-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 604  A*02:06-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 605  A*02:06-B*48:03-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 606  A*11:01-B*38:01-C*12:03-DRB1*08:01-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 607  A*11:01-B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 608  A*24:02-B*35:08-C*04:01-DRB1*08:01-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 609  A*24:02-B*39:06-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 610  A*30:02-B*15:03-C*02:10-DRB1*08:04-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 611  A*31:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 612  A*31:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 613  A*68:01-B*39:01-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 614  A*68:01-B*40:11-C*03:04-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 615  A*68:03-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 616  A*68:03-B*39:08-C*07:17-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 617  A*68:05-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 618  B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 619  B*15:03-C*02:10-DRB1*08:04-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 620  B*35:08-C*04:01-DRB1*08:01-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 621  B*35:16-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 622  B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 623  B*38:01-C*12:03-DRB1*08:01-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 624  B*39:01-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 625  B*39:06-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 626  B*39:08-C*07:17-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 627  B*40:20-C*03:04-DRB1*04:10-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 628  B*48:01-C*08:03-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 629  B*48:03-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 630  B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 631  B*51:01-C*15:09-DRB1*04:11-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 632  B*52:01-C*03:03-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 633  B*57:03-C*18:01-DRB1*08:04-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 634  DRB1*04:10-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 635  DRB1*04:11-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 636  DRB1*08:01-DQB1*04:02  USA African American pop 4 0.34702,411
 637  A*24:03-B*15:01-C*03:03-DRB1*08:04-DQA1*04:01-DQB1*04:02  Brazil Puyanawa 0.3333150
 638  A*31:01-B*15:20-C*03:02-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Puyanawa 0.3333150
 639  A*26:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.33003,078
 640  A*02:04-B*51:01-C*15:02-DRB1*04:11-DQB1*04:02  USA Hispanic pop 2 0.32701,999
 641  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*04:07:01-DQA1*04:01:01-DQB1*04:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 642  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*02:01:02-DPB1*26:01:02  Russia Belgorod region 0.3268153
 643  A*02:01:01-B*27:05:03-C*02:02:02-DRB1*08:01-DQA1*04:01:01-DQB1*04:02-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 644  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*08:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 645  A*02:01:01-B*40:01:02-C*14:02:01-DRB1*08:01:01-DQA1*05:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 646  A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*17:01  Russia Belgorod region 0.3268153
 647  A*03:01:01-B*39:06:02-C*12:02:02-DRB1*15:02-DQA1*04:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 648  A*03:01:14-B*39:01:01-C*07:02:01-DRB1*08:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*02:01:02-DPB1*01:01:01  Russia Belgorod region 0.3268153
 649  A*11:01:01-B*27:02:01-C*02:02:02-DRB1*08:01-DQA1*04:01:01-DQB1*04:02-DPA1*02:01:02-DPB1*01:01:01  Russia Belgorod region 0.3268153
 650  A*11:01:79-B*07:02:01-C*07:02:01-DRB1*08:01-DQA1*04:01:01-DQB1*04:02-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 651  A*25:01:01-B*35:03:01-C*02:02:02-DRB1*08:01-DQA1*01:01:01-DQB1*04:02-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 652  A*25:01:01-B*40:01:02-C*03:04:01-DRB1*13:03:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*03:01:01  Russia Belgorod region 0.3268153
 653  A*26:01-B*40:02-C*03:04-DRB1*08:01-DQA1*05:03-DQB1*04:02:01-DPA1*01:03:01-DPB1*03:01:01  Russia Belgorod region 0.3268153
 654  A*68:01:01-B*07:02:01-C*07:01:01-DRB1*08:01:01-DQA1*03:01:01-DQB1*04:02:01-DPA1*02:01:01-DPB1*10:01  Russia Belgorod region 0.3268153
 655  DRB1*04:10-DQB1*04:02  USA Hispanic pop 2 0.32401,999
 656  A*68:01-B*52:01-C*03:04-DRB1*08:02-DQB1*04:02  USA NMDP Caribean Indian 0.320614,339
 657  A*02:05-B*49:01-C*07:01-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.3195336
 658  A*29:02-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02-DPB1*13:01  Tanzania Maasai 0.3195336
 659  A*02:01:01-B*18:01:01-C*16:02:01-DRB1*08:01:01-DQB1*04:02:01-DPA1*02:01:02-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 660  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*08:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 661  A*02:02:01-B*58:02:01-C*06:02:01-DRB1*11:02:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 662  A*02:05:01-B*58:01:01-C*03:02:02-DRB1*08:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 663  A*03:01:01-B*51:01:03-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 664  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 665  A*31:01:02-B*45:01:01-C*04:01:01-DRB1*04:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*271:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 666  A*33:01:01-B*39:06:02-C*08:02:01-DRB1*13:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 667  A*68:01:01-B*35:08:01-C*04:01:01-DRB1*04:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 668  A*68:01:01-B*35:08:01-C*04:01:01-DRB1*04:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*18:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 669  A*02-B*35-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.3120641
 670  A*02-B*39-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.3120641
 671  DRB1*04:10-DQB1*04:02  USA Asian pop 2 0.30901,772
 672  A*02:01-B*48:01-C*08:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.30761,463
 673  A*02:22-B*35:01-C*04:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.30621,463
 674  DRB1*08:04-DQB1*04:02  USA African American pop 4 0.30402,411
 675  A*02:01-B*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.3030330
 676  A*02:01-B*39:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.3030330
 677  DRB1*08:02:01-DQB1*04:02-DPB1*04:02:01  China Inner Mongolia Autonomous Region Northeast 0.3020496
 678  A*01:01-B*37:01-C*06:02-DRB1*04:04-DQA1*03:01-DQB1*04:02-DPB1*04:01  South Africa Worcester 0.3000159
 679  A*01:01-B*40:01-C*03:04-DRB1*07:01:01-DQB1*04:02  England North West 0.3000298
 680  A*02:01-B*08:01-C*07:02-DRB1*03:02-DQA1*01:02-DQB1*04:02-DPB1*03:01  South Africa Worcester 0.3000159
 681  A*02:06-B*15:02-C*08:01-DRB1*04:05-DQA1*03:01-DQB1*04:02-DPB1*05:01  South Africa Worcester 0.3000159
 682  A*03:01-B*08:01-C*07:04-DRB1*04:04-DQA1*01:02-DQB1*04:02-DPB1*03:01  South Africa Worcester 0.3000159
 683  A*23:01-B*58:01-C*03:02-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  South Africa Worcester 0.3000159
 684  A*23:01-B*58:02-C*07:01-DRB1*07:01-DQA1*03:01-DQB1*04:02-DPB1*04:01  South Africa Worcester 0.3000159
 685  A*29:01-B*58:02-C*07:04-DRB1*12:01-DQA1*01:01-DQB1*04:02-DPB1*02:01  South Africa Worcester 0.3000159
 686  A*30:01-B*42:02-C*17:01-DRB1*07:01-DQA1*02:01-DQB1*04:02-DPB1*01:01  South Africa Worcester 0.3000159
 687  A*30:04-B*39:10-C*15:05-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*18:01  South Africa Worcester 0.3000159
 688  A*43:01-B*58:02-C*04:01-DRB1*04:01-DQA1*03:01-DQB1*04:02-DPB1*01:01  South Africa Worcester 0.3000159
 689  A*66:01-B*58:02-C*06:02-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  South Africa Worcester 0.3000159
 690  A*68:01-B*15:01-C*17:01-DRB1*15:02-DQA1*01:03-DQB1*04:02-DPB1*09:01  South Africa Worcester 0.3000159
 691  A*68:01-B*40:06-C*12:02-DRB1*12:01-DQA1*01:01-DQB1*04:02-DPB1*18:01  South Africa Worcester 0.3000159
 692  A*74:01-B*57:03-C*07:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*105:01  South Africa Worcester 0.3000159
 693  DRB1*03:02-DQB1*04:02-DPB1*11:01  Gambia pop 3 0.2903939
 694  A*02:01-B*40:01-C*03:04-DRB1*08:01-DQB1*04:02  Italy pop 5 0.2900975
 695  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.29003,078
 696  A*01:01:01-B*40:06:01-C*12:02:02-DRB1*04:05:01-DQB1*04:02:01  India Karnataka Kannada Speaking 0.2870174
 697  A*68:01:02-B*40:06:01-C*03:04:01-DRB1*07:01:01-DQB1*04:02:01  India Karnataka Kannada Speaking 0.2870174
 698  A*68:01-B*35:01-C*03:03-DRB1*08:01-DQB1*04:02-DPB1*03:01  Russia Karelia 0.28121,075
 699  A*02:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.28101,999
 700  A*30:01-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02  USA Hispanic pop 2 0.28101,999

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 601 to 700 (from 3,183) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 32  


   

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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