Abstract
Dengue may be a spectrum of disease caused by 5 serotypes of the foremost current arthropod- borne virus touching humans nowadays. The term dengue came into general use solely once 1828. Dengue viruses (DV) belong to family Flaviviridae and there are 5 serotypes of the virus observed as DV-1, DV-2, DV-3, DV-4 and DV5. DV could be a positive-stranded encapsulated polymer virus and consists of 3 structural macromolecule genes that write in code the nucleocapsid or core (C) macromolecule, a membrane-associated (M) macromolecule, associate degree enclosed (E) conjugated protein and 7 non-structural (NS) proteins. It is transmitted mainly by Aedes aegypti mosquito and also by Ae. Albopictus. The present strategy of bioinformatics analysis is to exploit the current data available both on gene and genome-wide association study (GWAS) meta-analysis of dengue to integrate these at novel levels of understanding of gene network interactions and expression levels. The study revealed 2 studies of dengue from GWAS with a total of 2 unique genes, namely MICB and PLCE1 that were mapped to discrete genomic locations of human genome which represented 15 rsIDs (SNPs) associated with MICB gene and 5 rsIDs (SNPs) associated with PLCE1 gene. The consensus results of the online tools like SIFT ,SNP & GO, PANTHER , Ployphen2.0 and I- mutant for structure and functional studies depicted rs1051788, rs1051788, rs41293883 and rs45583740 of MICB gene to be deleterious/ diseased and effecting the structure and function of MICB gene which may the reason for occurrence of dengue in human counterpart. The DAVID bioinformatics functional enrichment analysis reported 234 genes and 468 GO terms for biological processes (BP).In this study a total of 307 genes pertaining to dengue and its associated diseases were mined from various databases like GWAS, GEO & Jeans lab disease database. Out of 307 genes only 22 genes were consider for interaction study with different drug molecules as they are treated as the key factors that play a vital role in dengue.
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