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 2,121) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 22  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*24-B*48-C*08:01-DRB1*08:01-DQB1*04  Russia Transbaikal Territory Buryats 0.3340150
 602  A*24-B*48-C*08:01-DRB1*11:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 603  A*24-B*48-C*08:01-DRB1*12:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 604  A*24-B*48-C*08:01-DRB1*12:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 605  A*24-B*48-C*08:01-DRB1*14:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 606  A*24-B*48-C*08:03-DRB1*09:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 607  A*26-B*48-C*08:03-DRB1*15:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 608  A*30-B*48-C*08:01-DRB1*12:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 609  A*31-B*48-C*08:01-DRB1*04:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 610  A*31:01-B*48:01-C*08:03-DRB1*09:01-DQA1*03:02-DQB1*03:03  Brazil Puyanawa 0.3333150
 611  A*31:01-B*48:02-C*04:01-DRB1*04:11-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 0.3333150
 612  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Michoacan, Morelia 0.3311150
 613  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Oaxaca, Oaxaca city 0.3311151
 614  A*24-B*48-DRB1*08-DQB1*04  Mexico Oaxaca, Oaxaca city 0.3311151
 615  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Oaxaca, Oaxaca city 0.3311151
 616  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Oaxaca, Oaxaca city 0.3311151
 617  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 0.3289150
 618  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 0.3289150
 619  A*68-B*48-DRB1*16-DQB1*03:03  Mexico Mexico City Metropolitan Area Rural 0.3289150
 620  A*68-B*48-DRB1*08-DQB1*04  Mexico Puebla, Puebla city 0.32571,994
 621  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City Center 0.3247152
 622  A*02-B*48-DRB1*08-DQB1*04  Mexico Mexico City Center 0.3247152
 623  A*24-B*48-DRB1*16-DQB1*03:01  Mexico Mexico City Center 0.3247152
 624  A*02-B*48-DRB1*08-DQB1*04  Mexico Durango, Durango city 0.3226153
 625  A*24-B*48-DRB1*16-DQB1*03:01  Mexico Durango, Durango city 0.3226153
 626  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Durango, Durango city 0.3226153
 627  A*68:01:02-B*48:01:01-C*08:01:01-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 628  A*68:01:02-B*48:01:01-C*08:01:01-DRB1*14:02  Nicaragua Mestizo (G) 0.3226155
 629  A*24-B*48-DRB1*09  India sub-Himalayan West Bengal Kami 0.3200158
 630  A*29-B*48-DRB1*04  India sub-Himalayan West Bengal Kami 0.3200158
 631  A*26:01:01-B*48:02:01-C*04:01:01-DRB1*09:01:02-DQB1*05:01:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 632  A*24-B*48-DRB1*14-DQB1*03:01  Mexico Oaxaca Rural 0.3080485
 633  A*31-B*48-DRB1*14-DQB1*03:01  Mexico Oaxaca Rural 0.3080485
 634  A*02:01-B*48:01-C*08:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.30761,463
 635  A*03-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 0.3067162
 636  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 0.3067162
 637  A*31-B*48-DRB1*14-DQB1*03:01  Mexico Guanajuato Rural 0.3067162
 638  A*68-B*48-DRB1*08-DQB1*04  Mexico Guanajuato Rural 0.3067162
 639  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.3058326
 640  A*02:01-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  USA NMDP Alaska Native or Aleut 0.30441,376
 641  A*24-B*48-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.3034824
 642  A*24:02-B*48:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 643  A*31:01-B*48:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.3030330
 644  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Puebla, Puebla city 0.30061,994
 645  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.30061,994
 646  A*01-B*48-DRB1*09  Brazil South Ribeirao Preto 0.3000184
 647  A*02-B*48-DRB1*09  Brazil South Ribeirao Preto 0.3000184
 648  A*02-B*48-DRB1*09  China Shaanxi Province Han 0.300010,000
 649  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Puebla Rural 0.2998833
 650  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.2998833
 651  A*68-B*48-DRB1*08-DQB1*04  Mexico Puebla Rural 0.2998833
 652  A*02:01-B*48:01  USA Asian pop 2 0.29301,772
 653  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 0.2907171
 654  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 0.2907171
 655  A*24:02-B*48:01-DRB1*04:04-DQB1*03:02  Peru Titikaka Lake Uros 0.2900105
 656  A*02:06-B*48:03-DRB1*11:01  Hong Kong Chinese cord blood registry 0.28993,892
 657  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.2865348
 658  A*68-B*48-DRB1*08-DQB1*04  Mexico Michoacan Rural 0.2865348
 659  A*02:01-B*48:01  USA Hispanic pop 2 0.28201,999
 660  A*24:02-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.28101,999
 661  A*02:06-B*48:01-C*08:01-DRB1*11:01-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.280711,499
 662  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Veracruz Rural 0.2773539
 663  A*02-B*48-DRB1*08-DQB1*04  Mexico Tlaxcala, Tlaxcala city 0.2762181
 664  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 0.2762181
 665  A*68-B*48-DRB1*08-DQB1*04  Mexico Sinaloa Rural 0.2732183
 666  A*24-B*48-DRB1*01:01  Colombia Barranquilla 0.2700188
 667  A*32-B*48-DRB1*15:01  Colombia Barranquilla 0.2700188
 668  A*68-B*48-DRB1*04:01  Colombia Barranquilla 0.2700188
 669  A*02:11:01-B*48:04:01-C*06:02:01-DRB1*12:02:01-DQB1*06:04:01  India Andhra Pradesh Telugu Speaking 0.2688186
 670  A*32:01:01-B*48:04:01-C*04:01:01-DRB1*04:05:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 671  A*68-B*48-DRB1*08-DQB1*04  Mexico Veracruz, Xalapa 0.2674187
 672  A*02:06-B*48:03-C*08:01-DRB1*11:01  Hong Kong Chinese BMDR 0.26597,595
 673  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.2656751
 674  A*24:02-B*48:01-C*08:01-DRB1*11:01-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.261611,499
 675  A*01:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 676  A*24:02:01:01-B*48:01:01-C*06:02:01:01-DRB1*15:02-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 677  A*24:02:01:01-B*48:01:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 678  A*24:08-B*48:01:01-C*08:03:01-DRB1*04:02:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 679  A*26:01:01-B*48:01:01-C*07:01:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 680  A*68:01:02:02-B*48:01:01-C*08:01:01-DRB1*16:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 681  A*02:01-B*48:01-C*03:03-DRB1*14:05-DQA1*01:01-DQB1*05:03-DPB1*05:01  USA San Diego 0.2600496
 682  A*02:01-B*48:01-C*06:02-DRB1*04:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 683  A*02:06-B*48:01-C*08:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*04:02  USA San Diego 0.2600496
 684  A*26:01-B*48:01-C*01:02-DRB1*14:07-DQA1*01:03-DQB1*06:01-DPB1*14:01  USA San Diego 0.2600496
 685  A*31:01-B*48:13-C*03:04-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 686  A*02:01-B*48:01-C*03:05-DRB1*14:01-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 687  A*24:02-B*48:01-C*08:03-DRB1*09:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 688  A*33:01-B*48:01-C*08:01-DRB1*04:05-DQB1*04:02  Malaysia Peninsular Chinese 0.2577194
 689  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Yucatan, Merida 0.2564192
 690  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Yucatan, Merida 0.2564192
 691  A*68-B*48-DRB1*08-DQB1*04  Mexico Jalisco Rural 0.2560585
 692  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Sonora Rural 0.2538197
 693  A*68-B*48-DRB1*08-DQB1*04  Mexico Sonora Rural 0.2538197
 694  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Coahuila, Torreon 0.2500396
 695  A*11:01-B*48:01  USA Asian pop 2 0.24401,772
 696  A*02-B*48-DRB1*16-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.2427824
 697  A*68-B*48-DRB1*08-DQB1*04  Ecuador Andes Mixed Ancestry 0.2427824
 698  A*11:01-B*48:01-C*08:01-DRB1*14:08-DQB1*05:03  USA NMDP Hawaiian or other Pacific Islander 0.238811,499
 699  A*68:01-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.23401,999
 700  A*02-B*48-DRB1*08  Brazil Para State 0.23275,000

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 2,121) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 22  


   

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