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 6,198) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 62  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*24-B*39-DRB1*08-DQB1*04  Mexico Chiapas Rural 1.2397121
 602  A*24:02-B*39:06  USA Hispanic pop 2 1.23701,999
 603  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Hidalgo Rural 1.234681
 604  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Oaxaca Rural 1.2320485
 605  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Guanajuato Rural 1.2270162
 606  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Hidalgo, Pachuca 1.219541
 607  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Tabasco, Villahermosa 1.219582
 608  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Hidalgo, Pachuca 1.219541
 609  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Hidalgo, Pachuca 1.219541
 610  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Hidalgo, Pachuca 1.219541
 611  A*31-B*39-DRB1*16-DQB1*03:01  Mexico Hidalgo, Pachuca 1.219541
 612  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Hidalgo, Pachuca 1.219541
 613  A*68-B*39-DRB1*14-DQB1*03:01  Mexico Hidalgo, Pachuca 1.219541
 614  A*02-B*39-DRB1*08  Brazil Para Cord Blood Unit 1.2140841
 615  A*02:04-B*39:05-C*07:02-DRB1*16:02-DQA1*05:01-DQB1*03:01-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 1.200073
 616  A*02:13-B*39:05-C*07:02-DRB1*04:11-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*14:01  Venezuela Sierra de Perija Yucpa 1.200073
 617  A*11:01-B*39:01  USA Asian 1.2000358
 618  A*24:02-B*39:01  USA North American Native 1.2000187
 619  A*24-B*39:06-DRB1*03:01  Tunisia pop 3 1.2000104
 620  A*68:01-B*39:09-C*07:02-DRB1*04:03-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 1.200073
 621  B*39:01-C*12:03  Uganda Kampala 1.2000161
 622  B*39:01-C*12:03  USA African American 1.2000252
 623  B*39:01-DRB1*04:05:01  Taiwan Ami 1.200098
 624  A*31-B*39-DRB1*08  Brazil Para State 1.19945,000
 625  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Jalisco Rural 1.1945585
 626  B*39:01-C*07:02  USA Asian pop 2 1.19401,772
 627  A*01-B*39-DRB1*15:01-DQB1*06:02  Colombia San Basilio de Palenque 1.191042
 628  A*36-B*39-DRB1*11:01-DQB1*06:02  Colombia San Basilio de Palenque 1.191042
 629  A*66-B*39-DRB1*07:01-DQB1*02:01  Colombia San Basilio de Palenque 1.191042
 630  A*68-B*39-DRB1*04:11-DQB1*04:02  Colombia San Basilio de Palenque 1.191042
 631  A*68-B*39-DRB1*16:02-DQB1*03:01  Colombia San Basilio de Palenque 1.191042
 632  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Jalisco, Zapopan 1.1905168
 633  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Zacatecas, Zacatecas city 1.190584
 634  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Tamaulipas Rural 1.1905125
 635  A*31:01-B*39:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 1.190584
 636  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Jalisco, Zapopan 1.1905168
 637  A*02-B*39-DRB1*08-DQB1*04  Guatemala, Guatemala City Mixed Ancestry 1.1800127
 638  A*24-B*39-DRB1*04-DQB1*03:02  Guatemala, Guatemala City Mixed Ancestry 1.1800127
 639  A*31-B*39-DRB1*04-DQB1*03:02  Guatemala, Guatemala City Mixed Ancestry 1.1800127
 640  A*02-B*39-DRB1*08:02  Chile Santiago 1.1772920
 641  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:06-DPB1*05:01:01  Brazil Rio de Janeiro Parda 1.1765170
 642  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 1.17251,189
 643  A*02-B*39-DRB1*08-DQB1*04  Mexico Veracruz, Veracruz city 1.1628171
 644  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Veracruz, Veracruz city 1.1628171
 645  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Queretaro Rural 1.162843
 646  A*24-B*39-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 1.1529824
 647  A*02-B*39-DRB1*04-DQB1*03:02  Mexico San Luis Potosi Rural 1.149487
 648  A*24-B*39-DRB1*04-DQB1*03:02  Mexico San Luis Potosi Rural 1.149487
 649  A*31-B*39-DRB1*14-DQB1*03:01  Mexico San Luis Potosi Rural 1.149487
 650  A*02-B*39-DRB1*08-DQB1*04  Mexico Coahuila Rural 1.1468216
 651  A*24:02-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 1.1468218
 652  A*68-B*39-DRB1*08-DQB1*04  Mexico Tlaxcala Rural 1.1446830
 653  A*24-B*39-DRB1*08-DQB1*04  Mexico Puebla Rural 1.1391833
 654  A*02-B*39-DRB1*04-DQB1*03:02  Mexico Colima Rural 1.136443
 655  A*24-B*39-DRB1*01-DQB1*05  Mexico Colima Rural 1.136443
 656  A*24-B*39-DRB1*04-DQB1*03:01  Mexico Colima Rural 1.136443
 657  A*24-B*39-DRB1*08-DQB1*04  Mexico Colima Rural 1.136443
 658  A*26-B*39-DRB1*16-DQB1*05  Mexico Colima Rural 1.136443
 659  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Colima Rural 1.136443
 660  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Colima Rural 1.136443
 661  A*03-B*39-C*07-DRB1*07  Myanmar Kayin 1.136044
 662  A*03-B*39-C*07-DRB1*07-DQB1*03-DPB1*21  Myanmar Kayin 1.136044
 663  A*24-B*39-DRB1*08-DQB1*04  Mexico Oaxaca Rural 1.1294485
 664  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Oaxaca Rural 1.1294485
 665  A*68-B*39-DRB1*08-DQB1*04  Mexico Oaxaca Rural 1.1294485
 666  A*68-B*39-DRB1*16:02  Chile Santiago 1.1229920
 667  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Poza Rica 1.111145
 668  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Queretaro, Queretaro city 1.111145
 669  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 1.111145
 670  A*31-B*39-DRB1*08-DQB1*04  Mexico Veracruz, Poza Rica 1.111145
 671  A*68-B*39-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 1.111145
 672  A*68-B*39-DRB1*08-DQB1*04  Mexico Queretaro, Queretaro city 1.111145
 673  A*68-B*39-DRB1*11-DQB1*03:01  Mexico Veracruz, Poza Rica 1.111145
 674  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Queretaro, Queretaro city 1.111145
 675  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 1.1092585
 676  A*31-B*39-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 1.1091539
 677  A*24-B*39-DRB1*14-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 1.1062226
 678  A*24-B*39-DRB1*08-DQB1*04  Mexico Tlaxcala, Tlaxcala city 1.1050181
 679  A*01:01:01-B*39:01:01-DRB1*08:01:01  Portugal North 1.100046
 680  A*01:01-B*39:01-DRB1*14:54  New Zealand Maori with Full Ancestry 1.100046
 681  A*02:01:01-B*39:01:01-DRB1*11:01:01  Portugal North 1.100046
 682  A*24:02-B*39:01-DRB1*12:01  New Zealand Maori with Full Ancestry 1.100046
 683  A*24:02-B*39:01-DRB1*14:01  New Zealand Maori with Full Ancestry 1.100046
 684  A*24:02-B*39:01-DRB1*14:54  New Zealand Maori with Full Ancestry 1.100046
 685  A*26:01-B*39:06:02-DRB1*08:01:01  Portugal North 1.100046
 686  A*31:01:02-B*39:01:01-DRB1*15:01:01  Portugal North 1.100046
 687  A*24-B*39-DRB1*04-DQB1*03:02  Mexico Sinaloa Rural 1.0929183
 688  A*02-B*39-DRB1*14-DQB1*03:01  Ecuador Andes Mixed Ancestry 1.0922824
 689  A*02-B*39-DRB1*14-DQB1*03:01  Mexico Puebla, Puebla city 1.07721,994
 690  A*02:06-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 1.0700234
 691  A*68:03-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 1.0700234
 692  B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.0700234
 693  A*31-B*39-DRB1*14-DQB1*03:01  Mexico Veracruz, Xalapa 1.0695187
 694  A*02:06-B*39:02-C*03:04-DRB1*04:11-DQA1*03:03-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 695  A*02:06-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 696  A*24:02-B*39:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 697  A*24:02-B*39:02-C*07:02-DRB1*04:11-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 698  A*24:02-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 699  A*24:02-B*39:05-C*07:02-DRB1*14:02-DQA1*05:01-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 700  A*24:02-B*39:06-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847

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 6,198) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 62  


   

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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