Weighted gene co-expression network analysis to identify key modules and hub genes related to hyperlipidaemia.

ABSTRACT:

Background

The purpose of this study was to explore the potential molecular targets of hyperlipidaemia and the related molecular mechanisms.

Methods

The microarray dataset of GSE66676 obtained from patients with hyperlipidaemia was downloaded. Weighted gene co-expression network (WGCNA) analysis was used to analyse the gene expression profile, and the royal blue module was considered to have the highest correlation. Gene Ontology (GO) functional and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were implemented for the identification of genes in the royal blue module using the Database for Annotation, Visualization and Integrated Discovery (DAVID) online tool (version 6.8; http://david.abcc.ncifcrf.gov ). A protein-protein interaction (PPI) netwo

SUBMITTER: Liao FJ 

PROVIDER: S-EPMC7934476 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature