Bioinformatics and System Biological Approaches for the Identification of Genetic Risk Factors in the Progression of Cardiovascular Disease.

Joy Dip Barua Shudeb Babu Sen Omit Humayan Kabir Rana Nitun Kumar Podder Utpala Nanda Chowdhury Md Habibur Rahman

Published in: Cardiovascular therapeutics (2022)

Our computational approach explored the genetic association of CVD with its risk factors by identifying the significant DEGs, hub proteins, and signaling and ontological pathways. The outcomes of this study may be further used in the lab-based analysis for developing the effective treatment strategies of CVD.

Keyphrases

risk factors
cardiovascular disease
genome wide
copy number
bioinformatics analysis
type diabetes
gene expression
network analysis
insulin resistance
cardiovascular risk factors
skeletal muscle
coronary artery disease
glycemic control