Application of Weighted Gene Co-Expression Network Analysis to Explore the Key Genes in Alzheimer's Disease.

ABSTRACT:

Background

Weighted co-expression network analysis (WGCNA) is a powerful systems biology method to describe the correlation of gene expression based on the microarray database, which can be used to facilitate the discovery of therapeutic targets or candidate biomarkers in diseases.

Objective

To explore the key genes in the development of Alzheimer's disease (AD) by using WGCNA.

Methods

The whole gene expression data GSE1297 from AD and control human hippocampus was obtained from the GEO database in NCBI. Co-expressed genes were clustered into different modules. Modules of interest were identified through calculating the correlation coefficient between the module and phenotypic traits. GO and pathway enrichment analyses were conducted, and the central players (key hub

SUBMITTER: Liang JW 

PROVIDER: S-EPMC6218130 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature