A complex network analysis of hypertension-related genes

TL;DR

This study constructs and analyzes a gene network related to hypertension, revealing small-world and scale-free properties, and identifies key hub genes with confirmed biological significance.

Contribution

It introduces a novel network analysis of hypertension-related genes using gene expression data from rat models, highlighting key genes involved in hypertension.

Findings

The gene network exhibits small-world and scale-free properties.

Sixteen key hub genes are identified as important in hypertension.

Biological validation confirms the roles of these hub genes.

Abstract

In this paper, a network of hypertension-related genes is constructed by analyzing the correlations of gene expression data among the Dahl salt-sensitive rat and two consomic rat strains. The numerical calculations show that this sparse and assortative network has small-world and scale-free properties. Further, 16 key hub genes (Col4a1, Lcn2, Cdk4, etc.) are determined by introducing an integrated centrality and have been confirmed by biological/medical research to play important roles in hypertension.