Analysis of Gene Network Model of Thyroid Disorder and Associated Diseases

Abstract

Chronic Kidney Disease (CKD), High Blood Pressure (HBP) and Thyroid Disorders (TD) are three relational diseases, when human affected by one of them, increases the possibility affected those people by other two diseases. Found large numbers of similarly biological and genetic features among HBP, CKD, and TD. In this investigation, we will find out behind the reason for 3 diseases are related to each other. Identify the common genes among HBP, CKD, and TD and finding the most significant genes. First step of this investigation by reducing the number of reactive genes intersection is obtained using RStudio. After completing this process, we have identified ten genes that are shared by HBP, CKD, and TD. Based on the biological, biochemical, and genetic relationships between common genes, this analysis identifies the most significant hub proteins. We designed Protein-Protein Interactions network, Co-Expression network, Enrichment Analysis, Topological properties analysis, Gene regulatory network, and Physical Interaction network based on our understanding of biological, biochemical, and genetic relationships. This analysis allows us to identify biological and genetic similarities between HBP, CKD, and TD. Finally, we've arrived at our targeted hub proteins.