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 2,297) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 23  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*24-B*48-C*03:04-DRB1*14:03-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 602  A*24-B*48-C*08:01-DRB1*04:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 603  A*24-B*48-C*08:01-DRB1*08:01-DQB1*04  Russia Transbaikal Territory Buryats 0.3340150
 604  A*24-B*48-C*08:01-DRB1*11:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 605  A*24-B*48-C*08:01-DRB1*12:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 606  A*24-B*48-C*08:01-DRB1*12:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 607  A*24-B*48-C*08:01-DRB1*14:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 608  A*24-B*48-C*08:03-DRB1*09:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 609  A*26-B*48-C*08:03-DRB1*15:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 610  A*30-B*48-C*08:01-DRB1*12:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 611  A*31-B*48-C*08:01-DRB1*04:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 612  A*31:01-B*48:01-C*08:03-DRB1*09:01-DQA1*03:02-DQB1*03:03  Brazil Puyanawa 0.3333150
 613  A*31:01-B*48:02-C*04:01-DRB1*04:11-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 0.3333150
 614  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Michoacan, Morelia 0.3311150
 615  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Oaxaca, Oaxaca city 0.3311151
 616  A*24-B*48-DRB1*08-DQB1*04  Mexico Oaxaca, Oaxaca city 0.3311151
 617  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Oaxaca, Oaxaca city 0.3311151
 618  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Oaxaca, Oaxaca city 0.3311151
 619  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 0.3289150
 620  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Mexico City Metropolitan Area Rural 0.3289150
 621  A*68-B*48-DRB1*16-DQB1*03:03  Mexico Mexico City Metropolitan Area Rural 0.3289150
 622  A*68-B*48-DRB1*08-DQB1*04  Mexico Puebla, Puebla city 0.32571,994
 623  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City Center 0.3247152
 624  A*02-B*48-DRB1*08-DQB1*04  Mexico Mexico City Center 0.3247152
 625  A*24-B*48-DRB1*16-DQB1*03:01  Mexico Mexico City Center 0.3247152
 626  A*02-B*48-DRB1*08-DQB1*04  Mexico Durango, Durango city 0.3226153
 627  A*24-B*48-DRB1*16-DQB1*03:01  Mexico Durango, Durango city 0.3226153
 628  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Durango, Durango city 0.3226153
 629  A*68:01:02-B*48:01:01-C*08:01:01-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 630  A*68:01:02-B*48:01:01-C*08:01:01-DRB1*14:02  Nicaragua Mestizo (G) 0.3226155
 631  A*24-B*48-DRB1*09  India sub-Himalayan West Bengal Kami 0.3200158
 632  A*29-B*48-DRB1*04  India sub-Himalayan West Bengal Kami 0.3200158
 633  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
 634  A*24-B*48-DRB1*14-DQB1*03:01  Mexico Oaxaca Rural 0.3080485
 635  A*31-B*48-DRB1*14-DQB1*03:01  Mexico Oaxaca Rural 0.3080485
 636  A*02:01-B*48:01-C*08:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.30761,463
 637  A*03-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 0.3067162
 638  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 0.3067162
 639  A*31-B*48-DRB1*14-DQB1*03:01  Mexico Guanajuato Rural 0.3067162
 640  A*68-B*48-DRB1*08-DQB1*04  Mexico Guanajuato Rural 0.3067162
 641  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.3058326
 642  A*02:01-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  USA NMDP Alaska Native or Aleut 0.30441,376
 643  A*24-B*48-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.3034824
 644  A*24:02-B*48:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 645  A*31:01-B*48:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.3030330
 646  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Puebla, Puebla city 0.30061,994
 647  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.30061,994
 648  A*01-B*48-DRB1*09  Brazil South Ribeirao Preto 0.3000184
 649  A*02-B*48-DRB1*09  Brazil South Ribeirao Preto 0.3000184
 650  A*02-B*48-DRB1*09  China Shaanxi Province Han 0.300010,000
 651  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Puebla Rural 0.2998833
 652  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.2998833
 653  A*68-B*48-DRB1*08-DQB1*04  Mexico Puebla Rural 0.2998833
 654  A*02:01-B*48:01  USA Asian pop 2 0.29301,772
 655  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 0.2907171
 656  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 0.2907171
 657  A*24:02-B*48:01-DRB1*04:04-DQB1*03:02  Peru Titikaka Lake Uros 0.2900105
 658  A*02:06-B*48:03-DRB1*11:01  Hong Kong Chinese cord blood registry 0.28993,892
 659  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.2865348
 660  A*68-B*48-DRB1*08-DQB1*04  Mexico Michoacan Rural 0.2865348
 661  A*02:01-B*48:01  USA Hispanic pop 2 0.28201,999
 662  A*24:02-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.28101,999
 663  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
 664  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Veracruz Rural 0.2773539
 665  A*02-B*48-DRB1*08-DQB1*04  Mexico Tlaxcala, Tlaxcala city 0.2762181
 666  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Tlaxcala, Tlaxcala city 0.2762181
 667  A*68-B*48-DRB1*08-DQB1*04  Mexico Sinaloa Rural 0.2732183
 668  A*24-B*48-DRB1*01:01  Colombia Barranquilla 0.2700188
 669  A*32-B*48-DRB1*15:01  Colombia Barranquilla 0.2700188
 670  A*68-B*48-DRB1*04:01  Colombia Barranquilla 0.2700188
 671  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
 672  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
 673  A*68-B*48-DRB1*08-DQB1*04  Mexico Veracruz, Xalapa 0.2674187
 674  A*02:06-B*48:03-C*08:01-DRB1*11:01  Hong Kong Chinese BMDR 0.26597,595
 675  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.2656751
 676  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
 677  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
 678  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
 679  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
 680  A*24:08-B*48:01:01-C*08:03:01-DRB1*04:02:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 681  A*26:01:01-B*48:01:01-C*07:01:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 682  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
 683  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
 684  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
 685  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
 686  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
 687  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
 688  A*02:01-B*48:01-C*03:05-DRB1*14:01-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 689  A*24:02-B*48:01-C*08:03-DRB1*09:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 690  A*33:01-B*48:01-C*08:01-DRB1*04:05-DQB1*04:02  Malaysia Peninsular Chinese 0.2577194
 691  A*68-B*48-DRB1*14-DQB1*03:01  Mexico Yucatan, Merida 0.2564192
 692  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Yucatan, Merida 0.2564192
 693  A*68-B*48-DRB1*08-DQB1*04  Mexico Jalisco Rural 0.2560585
 694  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Sonora Rural 0.2538197
 695  A*68-B*48-DRB1*08-DQB1*04  Mexico Sonora Rural 0.2538197
 696  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Coahuila, Torreon 0.2500396
 697  A*68:01-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  India Northeast UCBB 0.2492296
 698  A*11:01-B*48:01  USA Asian pop 2 0.24401,772
 699  A*02-B*48-DRB1*16-DQB1*03:01  Ecuador Andes Mixed Ancestry 0.2427824
 700  A*68-B*48-DRB1*08-DQB1*04  Ecuador Andes Mixed Ancestry 0.2427824

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 2,297) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 23  


   

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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