Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 4,654) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 47  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*02:05:01-B*58:01:01-C*15:02:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*13:01:01  South African Black 0.3520142
 602  A*03:01:01-B*58:02:01-C*06:02:01-DRB1*04:01:01-DQB1*03:02:01-DPB1*15:01:01  South African Black 0.3520142
 603  A*03:01:01-B*58:02:01-C*06:02:01-DRB1*11:01:02-DQB1*02:01:01-DPB1*02:01:02  South African Black 0.3520142
 604  A*03:01:01-B*58:02:01-C*07:06:01-DRB1*11:02:01-DQB1*02:02:01-DPB1*04:01:01  South African Black 0.3520142
 605  A*03:01:01-B*58:02:01-C*08:04:01-DRB1*10:01:01-DQB1*04:02:01-DPB1*11:01:01  South African Black 0.3520142
 606  A*23:17-B*58:01:01-C*03:02:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*01:01:02  South African Black 0.3520142
 607  A*23:17-B*58:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 608  A*24:02:01-B*58:01:01-C*02:10:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*02:01:02  South African Black 0.3520142
 609  A*26:01:01-B*58:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:04:01-DPB1*14:01:01  South African Black 0.3520142
 610  A*29:02:01-B*58:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:02:01-DPB1*14:01:01  South African Black 0.3520142
 611  A*29:02:01-B*58:02:01-C*06:02:01-DRB1*12:01:01-DQB1*05:01:01-DPB1*18:01  South African Black 0.3520142
 612  A*29:11-B*58:01:01-C*07:18-DRB1*11:02:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 613  A*30:01:01-B*58:01:01-C*07:18-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01  South African Black 0.3520142
 614  A*30:01:01-B*58:02:01-C*06:02:01-DRB1*03:02:01-DQB1*06:02:01-DPB1*23:01:01  South African Black 0.3520142
 615  A*30:02:01-B*58:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  South African Black 0.3520142
 616  A*30:02:01-B*58:02:01-C*06:02:01-DRB1*12:01:01-DQB1*03:19:01-DPB1*18:01  South African Black 0.3520142
 617  A*32:106-B*58:02:01-C*06:02:01-DRB1*07:01:01-DQB1*04:02:01-DPB1*02:01:19  South African Black 0.3520142
 618  A*32:106-B*58:02:01-C*06:02:01-DRB1*08:04:01-DQB1*03:19:01-DPB1*105:01:01  South African Black 0.3520142
 619  A*34:02:01-B*58:02:01-C*06:02:01-DRB1*15:03:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 620  A*66:02-B*58:02:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*55:01:01  South African Black 0.3520142
 621  A*68:01:01-B*58:02:01-C*06:02:01-DRB1*12:01:01-DQB1*03:02:01-DPB1*18:01  South African Black 0.3520142
 622  A*68:01:01-B*58:02:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*01:01:01  South African Black 0.3520142
 623  A*68:01:01-B*58:02:01-C*07:01:02-DRB1*11:02:01-DQB1*03:01:01-DPB1*105:01:01  South African Black 0.3520142
 624  A*68:02:01-B*58:02:01-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01-DPB1*105:01:01  South African Black 0.3520142
 625  A*68:02:01-B*58:02:01-C*06:02:01-DRB1*08:04:01-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.3520142
 626  A*74:01:01-B*58:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*03:01:01  South African Black 0.3520142
 627  A*74:01:01-B*58:02:01-C*06:02:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*04:01:01  South African Black 0.3520142
 628  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*14:01  Sri Lanka Colombo 0.3501714
 629  A*01-B*58  Macedonia 0.3497286
 630  A*01-B*58-C*07  Macedonia 0.3497286
 631  A*11:01-B*58:01-C*03:02-DRB1*11:02-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 632  A*29-B*58  Macedonia 0.3497286
 633  A*29-B*58-C*07  Macedonia 0.3497286
 634  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 635  B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 636  B*58:01-C*03:02-DRB1*11:02-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 637  B*58-C*03  Macedonia 0.3497286
 638  B*58-DRB1*08  Macedonia 0.3497286
 639  B*58-DRB1*11  Macedonia 0.3497286
 640  A*66:02-B*58:01-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.34902,411
 641  A*02:05-B*58:01-C*07:01-DRB1*11:02  Brazil Vale do Ribeira Quilombos 0.3472144
 642  A*02-B*58-DRB1*15-DQB1*05  Mexico Guerrero state 0.3472144
 643  A*11-B*58-DRB1*10-DQB1*05  Mexico Guerrero state 0.3472144
 644  A*33:03-B*58:01-C*03:02-DRB1*13:02  Brazil Vale do Ribeira Quilombos 0.3472144
 645  A*33-B*58-DRB1*12-DQB1*03:01  Mexico Guerrero state 0.3472144
 646  A*33:03-B*58:01-DRB1*13:01  Hong Kong Chinese cord blood registry 0.34523,892
 647  A*02-B*58-DRB1*13  Brazil Para Cord Blood Unit 0.3439841
 648  A*03-B*58-DRB1*13-DQB1*06  Mexico Nuevo Leon Rural 0.3409439
 649  A*25-B*58-DRB1*07-DQB1*03:03  Mexico Nuevo Leon Rural 0.3409439
 650  A*01-B*58-DRB1*15-DQB1*05  Iraq Arabs 0.3400149
 651  A*03-B*58-DRB1*10-DQB1*03  Iraq Arabs 0.3400149
 652  A*24-B*58-C*03-DRB1*14-DQB1*05  Albania pop 2 0.3400432
 653  A*24-B*58-C*07-DRB1*04-DQB1*03  Albania pop 2 0.3400432
 654  A*24-B*58-C*12-DRB1*07-DQB1*02  Albania pop 2 0.3400432
 655  A*30-B*58-DRB1*15-DQB1*02  Iraq Arabs 0.3400149
 656  A*33-B*58-DRB1*14-DQB1*03  Iraq Arabs 0.3400149
 657  B*58:01-DRB1*13:02  Italy pop 5 0.3400975
 658  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.33861,075
 659  A*33:01-B*58:01-DRB1*11:04  Israel Iran Jews 0.33808,153
 660  A*33:03-B*58:01-C*03:02-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.3378296
 661  A*33:03-B*58:01-C*03:02-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.3378296
 662  A*02-B*58-C*03:02-DRB1*13:01-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 663  A*23-B*58-C*03:02-DRB1*03:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 664  A*26-B*58-C*03:02-DRB1*03:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 665  A*33-B*58-C*03:02-DRB1*04:03-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 666  A*33-B*58-C*03:02-DRB1*12:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 667  A*02:01-B*58:02-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Puyanawa 0.3333150
 668  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.33182,492
 669  A*02-B*58-DRB1*01-DQB1*05  Mexico Oaxaca, Oaxaca city 0.3311151
 670  A*23-B*58-DRB1*07-DQB1*02  Mexico Michoacan, Morelia 0.3311150
 671  A*02:01:01-B*58:01:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 672  A*02:01:01-B*58:01:01-C*07:18:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 673  A*24:02:01-B*58:01:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 674  A*68:01:01-B*58:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 675  A*02-B*58-DRB1*07-DQB1*02  Mexico Mexico City Center 0.3247152
 676  A*02-B*58-DRB1*13-DQB1*06  Mexico Mexico City Center 0.3247152
 677  A*33-B*58-DRB1*04-DQB1*03:01  Mexico Mexico City Center 0.3247152
 678  A*02-B*58-DRB1*03:01-DQB1*02  Mexico Durango, Durango city 0.3226153
 679  A*30-B*58-DRB1*11-DQB1*03:01  Mexico Durango, Durango city 0.3226153
 680  A*23:01:01-B*58:01:01-C*03:02:01-DRB1*09:01:02  Nicaragua Mestizo (G) 0.3226155
 681  A*23:01:01-B*58:01:01-C*03:02:01-DRB1*13:02:01  Nicaragua Mestizo (G) 0.3226155
 682  A*23:01:01-B*58:01:01-C*07:01:01-DRB1*03:01  Nicaragua Mestizo (G) 0.3226155
 683  A*26:01:01-B*58:01:01-C*03:04:01-DRB1*04:11:01  Nicaragua Mestizo (G) 0.3226155
 684  A*66:01:01-B*58:02-C*06:02:01-DRB1*08:02:01  Nicaragua Mestizo (G) 0.3226155
 685  A*31-B*58-DRB1*15  India sub-Himalayan West Bengal Kami 0.3200158
 686  A*33-B*58-DRB1*14  India sub-Himalayan West Bengal Kami 0.3200158
 687  A*02:02-B*58:02-C*06:02-DRB1*01:02-DQB1*05:01-DPB1*04:01  Tanzania Maasai 0.3195336
 688  A*03:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*04:01  Tanzania Maasai 0.3195336
 689  A*33:03-B*58:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*17:01  Tanzania Maasai 0.3195336
 690  A*36:01-B*58:01-C*16:01-DRB1*11:01-DQB1*03:02-DPB1*01:01  Tanzania Maasai 0.3195336
 691  A*66:01-B*58:02-C*06:02-DRB1*07:01-DQB1*02:02-DPB1*04:02  Tanzania Maasai 0.3195336
 692  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*19:01  Tanzania Maasai 0.3195336
 693  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:03-DPB1*13:01  Tanzania Maasai 0.3195336
 694  A*01:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 0.3143186
 695  A*02:01:01-B*58:01:01-C*07:18:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 696  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
 697  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
 698  A*02:05:01-B*58:01:01-C*07:18:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 699  A*11:01:01-B*58:01:01-C*07:18:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 700  A*24:02:01-B*58:01:01-C*07:18:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405

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 4,654) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 47  


   

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional