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 701 to 800 (from 3,437) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 35  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*02:01-B*27:05-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 702  A*02:01-B*35:01-C*04:01-DRB1*13:03-DQA1*01:02-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 703  A*02:01-B*40:01-C*03:04-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 704  A*02:01-B*44:03-C*04:01-DRB1*01:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  USA San Diego 0.2600496
 705  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 706  A*02:01-B*51:08-C*16:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 0.2600496
 707  A*02:01-B*57:01-C*06:02-DRB1*13:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 0.2600496
 708  A*02:05-B*18:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*03:01  USA San Diego 0.2600496
 709  A*03:01-B*47:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 710  A*11:01-B*14:01-C*08:02-DRB1*07:01-DQA1*01:03-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 711  A*11:01-B*35:01-C*04:01-DRB1*15:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 712  A*23:01-B*35:02-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 0.2600496
 713  A*24:02-B*15:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*05:01  USA San Diego 0.2600496
 714  A*24:02-B*18:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*03:01  USA San Diego 0.2600496
 715  A*24:02-B*44:03-C*14:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*05:01  USA San Diego 0.2600496
 716  A*25:01-B*44:02-C*05:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 717  A*26:01-B*07:02-C*07:02-DRB1*01:03-DQA1*02:01-DQB1*02:02-DPB1*06:01  USA San Diego 0.2600496
 718  A*26:01-B*13:02-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  USA San Diego 0.2600496
 719  A*26:01-B*13:02-C*06:02-DRB1*11:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 0.2600496
 720  A*26:01-B*51:01-C*04:01-DRB1*14:03-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 721  A*29:02-B*45:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 722  A*32:01-B*35:01-C*04:01-DRB1*13:05-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 723  A*34:02-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 0.2600496
 724  A*68:03-B*44:03-C*07:02-DRB1*07:01-DQA1*03:01-DQB1*02:02-DPB1*17:01  USA San Diego 0.2600496
 725  DRB1*11:04-DQB1*02:02  Italy pop 5 0.2600975
 726  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.25951,734
 727  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.258011,446
 728  A*03:01-B*38:01-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 729  A*23:01-B*45:01-C*06:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 730  A*24:02-B*38:01-C*12:03-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 731  A*24:02-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 732  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 733  A*26:01-B*46:01-C*01:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 734  A*31:01-B*13:04-C*06:02-DRB1*12:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 735  A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.252923,595
 736  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.25174,204
 737  A*03:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 0.24175,849
 738  A*02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.2414521
 739  A*68:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 0.24004,204
 740  DRB1*14:01-DQB1*02:02  Italy pop 5 0.2400975
 741  DRB1*16:01-DQB1*02:02  Italy pop 5 0.2400975
 742  A*02:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 743  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 744  DRB1*13:03-DQB1*02:02-DPB1*01:01  Gambia pop 3 0.2356939
 745  A*32-B*14-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.2340641
 746  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.231111,446
 747  A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 748  A*01:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 0.23004,204
 749  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 750  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:05:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 751  A*03:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 752  A*03:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 753  A*11:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 754  A*23:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 755  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 756  A*24:02:01-B*45:03-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 757  A*24:02:01-B*51:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 758  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 759  A*29:02:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 760  A*29:02:01-B*15:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 761  A*31:01:02-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 762  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 763  A*32:01:01-B*39:01:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 764  A*32:01:01-B*42:02-C*17:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 765  A*32:01:01-B*56:01:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 766  A*33:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 767  A*66:01:01-B*51:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 768  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01  Mexico Chiapas Lacandon Mayans 0.2294218
 769  A*03:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 0.22932,403
 770  A*02:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.22881,510
 771  A*02:11-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.221311,446
 772  DRB1*04:05-DQB1*02:02-DPB1*02:01  Gambia pop 3 0.2177939
 773  DRB1*09:01-DQB1*02:02-DPB1*133:01  Gambia pop 3 0.2177939
 774  DRB1*13:02-DQB1*02:02-DPB1*105:01  Gambia pop 3 0.2177939
 775  DRB1*13:02-DQB1*02:02-DPB1*17:01  Gambia pop 3 0.2176939
 776  A*01:01-B*57:01-C*15:02-DRB1*04:04-DQA1*03:01-DQB1*02:02-DPB1*04:01  Nicaragua Managua 0.2165339
 777  A*01:01-B*57:03-C*07:01-DRB1*04:07-DQA1*03:01-DQB1*02:02-DPB1*14:01  Nicaragua Managua 0.2165339
 778  A*02:01-B*42:01-C*17:01-DRB1*15:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Nicaragua Managua 0.2165339
 779  A*02:01-B*44:03-C*07:01-DRB1*09:01-DQA1*03:01-DQB1*02:02-DPB1*17:01  Nicaragua Managua 0.2165339
 780  A*02:01-B*51:01-C*01:02-DRB1*07:01-DQA1*01:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 781  A*02:02-B*35:01-C*04:01-DRB1*09:01-DQA1*03:01-DQB1*02:02-DPB1*03:01  Nicaragua Managua 0.2165339
 782  A*02:05-B*35:12-C*04:01-DRB1*09:01-DQA1*04:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 783  A*02:06-B*42:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*02:02-DPB1*14:01  Nicaragua Managua 0.2165339
 784  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*02:02-DPB1*04:01  Nicaragua Managua 0.2165339
 785  A*03:01-B*27:05-C*08:02-DRB1*03:01-DQA1*05:01-DQB1*02:02-DPB1*03:01  Nicaragua Managua 0.2165339
 786  A*03:01-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 787  A*11:01-B*07:02-C*07:02-DRB1*04:07-DQA1*02:01-DQB1*02:02-DPB1*10:01  Nicaragua Managua 0.2165339
 788  A*11:01-B*18:01-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*01:01  Nicaragua Managua 0.2165339
 789  A*23:01-B*08:01-C*03:04-DRB1*01:02-DQA1*02:01-DQB1*02:02-DPB1*01:01  Nicaragua Managua 0.2165339
 790  A*24:02-B*14:01-C*04:113-DRB1*04:10-DQA1*03:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 791  A*24:02-B*51:01-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 792  A*24:02-B*53:01-C*04:01-DRB1*13:03-DQA1*02:01-DQB1*02:02-DPB1*01:01  Nicaragua Managua 0.2165339
 793  A*24:02-B*57:01-C*07:01-DRB1*14:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Nicaragua Managua 0.2165339
 794  A*26:01-B*81:01-C*18:01-DRB1*09:01-DQA1*01:01-DQB1*02:02-DPB1*02:01  Nicaragua Managua 0.2165339
 795  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  Nicaragua Managua 0.2165339
 796  A*30:01-B*13:02-C*06:02-DRB1*13:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 797  A*30:01-B*14:02-C*08:02-DRB1*01:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Nicaragua Managua 0.2165339
 798  A*30:01-B*14:02-C*08:02-DRB1*09:01-DQA1*03:01-DQB1*02:02-DPB1*14:01  Nicaragua Managua 0.2165339
 799  A*30:02-B*58:01-C*16:01-DRB1*13:04-DQA1*02:01-DQB1*02:02-DPB1*01:01  Nicaragua Managua 0.2165339
 800  A*32:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339

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 701 to 800 (from 3,437) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 35  


   

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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