Candidate genes investigation for severe nonalcoholic fatty liver disease based on bioinformatics analysis.

ABSTRACT:

Background

Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver condition worldwide. However, its etiology and fundamental pathophysiology for the disease process are poorly understood. In this study, we thus used bioinformatics to identify candidate genes potentially causative of severe NAFLD.

Methods

Gene expression profile data GSE49541 were downloaded from the Gene Expression Omnibus database. Tissues samples from 32 severe and 40 mild NAFLD patients were evaluated to identify differentially expressed genes (DEGs) between the 2 groups, followed by analyses of Gene Ontology (GO) functions and Kyoto Encyclopedia of Genes and Genomes pathways. Then, a weighted protein-protein interaction (PPI) network was constructed, and subnetworks and candidate genes

SUBMITTER: Qi S 

PROVIDER: S-EPMC5556226 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature