ANALYSIS OF OSTEOPOROSIS GENE INTERACTOME TO IDENTIFY HETEROGENIC GENES AND PATHWAYS

Abstract

Latest advances in genetics have prompted swift progress towards the efficient identification of genes tangled in complex diseases. Still, the comprehensive understanding about the relation between physiological and molecular mechanism of genes and how they affect disease phenotypes remains a challenge for researchers and clinicians. Here, we wish to identify the osteoporosis disease module, i.e. the indigenous neighborhood of the interactome whose agitation is associated with osteoporosis, and endorse it for functional and pathophysiological application, using both computational and experimental methodologies. Recent studies in osteoporosis suggest that osteoporosis disease module supplemented with uncertain GWAS P-values against certain genetic variations in both diseased and normal conditions; the expression level of genes was different. The osteoporosis module may also contain mechanisms that are collective with other disease modules. We constructed the gene-gene and protein-protein interaction network for 104 genes for 173 reported SNPs accompanied by GO functional enrichment and KEGG pathway enrichment analysis; we recognized the substantial genes of osteoporosis along with their molecular functions. Our analyses exposed polymorphism in SOST and LRP5 as significantly conservative SNPs.