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 21,130) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 212  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*02-B*07-DRB1*13-DQB1*03:01  Mexico Hidalgo, Pachuca 1.219541
 602  A*02-B*41-DRB1*13-DQB1*03:01  Mexico Tabasco, Villahermosa 1.219582
 603  A*02-B*51-DRB1*13-DQB1*06  Mexico Tabasco, Villahermosa 1.219582
 604  A*03-B*38-DRB1*13-DQB1*06  Mexico Hidalgo, Pachuca 1.219541
 605  A*24-B*51-DRB1*13-DQB1*03:01  Mexico Hidalgo, Pachuca 1.219541
 606  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 1.2100124
 607  A*30:01-B*49:01-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Kosovo 1.2100124
 608  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:09  Kosovo 1.2100124
 609  DRB1*13:03-DQB1*03:01  Cretan Islanders 1.2097124
 610  DRB1*13:03-DQB1*03:01  USA Hispanic pop 2 1.20601,999
 611  A*02-B*15-DRB1*13  Russia South Ural Russian 1.2000207
 612  A*02-B*44-DRB1*13  Madeira pop 3 1.2000538
 613  A*02-B*44-DRB1*13  Portugal Braga 1.20001,971
 614  A*02-B*49:01-DRB1*13:03  Tunisia pop 3 1.2000104
 615  A*02-B*51-DRB1*13  Portugal Beja 1.2000699
 616  A*02-B*51-DRB1*13  Portugal Bragança 1.2000301
 617  A*02-B*51-DRB1*13  Russia South Ural Russian 1.2000207
 618  A*03:01-B*14:02:01-C*08:02-DRB1*13:02:01-DQB1*06:09  England North West 1.2000298
 619  A*03:01-B*15:01-DRB1*13:02  Sweden Southern Sami 1.2000130
 620  A*24-B*41:02-DRB1*13:03  Tunisia pop 3 1.2000104
 621  A*26-B*38-DRB1*13:02-DQB1*06:04  Spain North Cantabria 1.200083
 622  A*26-B*38-DRB1*13-DQB1*06:02  Cuba Mixed 1.200078
 623  A*32-B*40-DRB1*13:01  Tunisia pop 3 1.2000104
 624  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*02:01  Japan Central 1.2000371
 625  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:05  Vietnam Hanoi Kinh pop 2 1.2000170
 626  A*33-B*44-DRB1*13:02  USA NMDP Asian and Pacific Islander 1.2000359,423
 627  A*33-B*58-DRB1*13  China Shaanxi Province Han 1.200010,000
 628  A*68-B*35-DRB1*13-DQB1*06:02  Cuba Mixed 1.200078
 629  DRB1*13:01-DQA1*01:03-DQB1*06:03  Ethiopia Oromo 1.200083
 630  DRB1*13:01-DQA1*01:03-DQB1*06:03  India Northeast Sunni 1.2000188
 631  DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14  Russia Siberia Irkutsk Tofalar 1.200043
 632  DRB1*13:01-DQA1*01:03-DQB1*06:04  Cameroon Yaounde 1.200092
 633  DRB1*13:01-DQA1*01:03-DQB1*06:04  Ethiopia Oromo 1.200083
 634  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  South Korea pop 2 1.2000207
 635  DRB1*13:12-DQB1*03:01  Vietnam HoaBinh Muong 1.200083
 636  DRB1*13-DQA1*01:02-DQB1*06:02  Russia Smolensk 1.2000156
 637  DRB1*13-DRB3*03-DQA1*01-DQB1*06-DPB1*02  USA San Francisco Caucasian 1.2000220
 638  A*29-B*57-DRB1*13:01-DQB1*06:03  Colombia San Basilio de Palenque 1.191042
 639  A*36-B*07-DRB1*13:02-DQB1*06:04  Colombia San Basilio de Palenque 1.191042
 640  A*68-B*13-DRB1*13:02-DQB1*06:04  Colombia San Basilio de Palenque 1.191042
 641  A*68-B*15-DRB1*13:02-DQB1*04:02  Colombia San Basilio de Palenque 1.191042
 642  A*68-B*78-DRB1*13:02-DQB1*06:04  Colombia San Basilio de Palenque 1.191042
 643  A*74-B*15-DRB1*13:04-DQB1*06:02  Colombia San Basilio de Palenque 1.191042
 644  A*74-B*52-DRB1*13:01-DQB1*06:03  Colombia San Basilio de Palenque 1.191042
 645  A*11-B*40:02-DRB1*13-DQB1*06  Mexico Tamaulipas Rural 1.1905125
 646  A*11-B*51-DRB1*13-DQB1*06  Mexico Tamaulipas Rural 1.1905125
 647  A*24-B*40:02-DRB1*13-DQB1*06  Mexico Tamaulipas Rural 1.1905125
 648  A*02:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 1.18161,510
 649  A*01-B*15:01-DRB1*13-DQB1*06  Guatemala, Guatemala City Mixed Ancestry 1.1800127
 650  A*01-B*49-C*07:01-DRB1*13-DQB1*06  Russia North Ossetian 1.1800127
 651  A*02-B*07-C*07:02-DRB1*13-DQB1*06  Russia North Ossetian 1.1800127
 652  A*02-B*51-C*07:02-DRB1*13-DQB1*06  Russia North Ossetian 1.1800127
 653  A*11-B*38-C*12:03-DRB1*13-DQB1*06  Russia North Ossetian 1.1800127
 654  A*01-B*49-C*07-DRB1*13  Macedonia MBMDR - Albanian 1.1719128
 655  A*01-B*53-C*04-DRB1*13  Macedonia MBMDR - Albanian 1.1719128
 656  A*03-B*07-C*07-DRB1*13  Macedonia MBMDR - Albanian 1.1719128
 657  DRB1*13:04-DQB1*03:01  USA African American pop 4 1.17102,411
 658  DRB1*13:02-DQB1*06:09-DPB1*01:01  Gambia pop 3 1.1690939
 659  A*02-B*55-DRB1*13-DQB1*06  Mexico Queretaro Rural 1.162843
 660  A*03-B*07-DRB1*13-DQB1*06  Mexico Queretaro Rural 1.162843
 661  A*11-B*35-DRB1*13-DQB1*06  Mexico Queretaro Rural 1.162843
 662  A*25-B*18-DRB1*13-DQB1*06  Mexico Queretaro Rural 1.162843
 663  A*31-B*51-DRB1*13-DQB1*03:01  Mexico Queretaro Rural 1.162843
 664  A*68-B*07-DRB1*13-DQB1*06  Mexico Queretaro Rural 1.162843
 665  A*30:01-B*41:02-DRB1*13:03  Israel Tunisia Jews 1.16009,070
 666  A*11-B*08-DRB1*13-DQB1*03:01  Mexico San Luis Potosi Rural 1.149487
 667  DRB1*13:01-DQB1*06:03-DPB1*01:01  Gambia pop 3 1.1484939
 668  A*33:03-B*58:01-C*03:02-DRB1*13:02  Hong Kong Chinese BMDR 1.14087,595
 669  A*02-B*53-DRB1*13-DQB1*02  Mexico Colima Rural 1.136443
 670  A*23-B*35-DRB1*13-DQB1*06  Mexico Colima Rural 1.136443
 671  A*23-B*50-DRB1*13-DQB1*03:01  Mexico Colima Rural 1.136443
 672  A*26-B*08-DRB1*13-DQB1*03:01  Mexico Colima Rural 1.136443
 673  A*32-B*50-DRB1*13-DQB1*06  Mexico Colima Rural 1.136443
 674  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 1.1312221
 675  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 1.1312221
 676  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 1.1240356
 677  A*68:02-B*53:01-C*06:02-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 1.1182336
 678  A*02-B*18-DRB1*13-DQB1*03:01  Mexico Queretaro, Queretaro city 1.111145
 679  A*02-B*38-DRB1*13-DQB1*06  Mexico Queretaro, Queretaro city 1.111145
 680  A*24-B*15:17-DRB1*13-DQB1*06  Mexico Veracruz, Poza Rica 1.111145
 681  A*02:01:01-B*15:01:01-C*03:04-DRB1*13:01  South Africa Caucasians 1.1100102
 682  A*68:02-B*14:02-C*08:02-DRB1*13:03  South Africa Caucasians 1.1100102
 683  A*01:01:01-B*51:01:01-DRB1*13:01:01  Portugal North 1.100046
 684  A*02:01:01-B*27:05:02/27:05:04/27:13-DRB1*13:01:01  Portugal North 1.100046
 685  A*02:01:01-B*27:05:02/27:05:04/27:13-DRB1*13:03  Portugal North 1.100046
 686  A*02:01:01-B*51:01:01-DRB1*13:01:01  Portugal North 1.100046
 687  A*02-B*15-DRB1*13  Portugal Castelo Branco 1.1000327
 688  A*02-B*35-DRB1*13  Greece North 1.1000500
 689  A*02-B*35-DRB1*13  Brazil Parana Cafuzo 1.1000319
 690  A*02-B*44-DRB1*13  Brazil Parana Mixed race 1.1000186
 691  A*02-B*44-DRB1*13  Portugal South pop 2 1.10001,021
 692  A*02-B*44-DRB1*13  Portugal Aveiro 1.10005,933
 693  A*02-B*44-DRB1*13  Portugal Santarem 1.10003,865
 694  A*02-B*51-DRB1*13  Portugal Viana do Castelo 1.1000706
 695  A*02-B*51-DRB1*13  Portugal Braga 1.10001,971
 696  A*03:01:01-B*53:01-DRB1*13:02:01  Portugal North 1.100046
 697  A*11:01:01-B*35:01:01-DRB1*13:01:01  Portugal North 1.100046
 698  A*24:02:01-B*15:01:01:01-DRB1*13:01:01  Portugal North 1.100046
 699  A*24:02:01-B*41:02-DRB1*13:05  Portugal North 1.100046
 700  A*33:03-B*58:01-DRB1*13:02-DPB1*09:01  China Canton Han 1.1000264

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 21,130) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 212  


   

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