Integrative analysis of DNA methylation and gene expression identifies genes associated with biological aging in Alzheimer's disease.

ABSTRACT:

Introduction

The acceleration of biological aging is a risk factor for Alzheimer's disease (AD). Here, we performed weighted gene co-expression network analysis (WGCNA) to identify modules and dysregulated genesinvolved in biological aging in AD.

Methods

We performed WGCNA to identify modules associated with biological clocks and hub genes of the module with the highest module significance. In addition, we performed differential expression analysis and association analysis with AD biomarkers.

Results

WGCNA identified five modules associated with biological clocks, with the module designated as "purple" showing the strongest association. Functional enrichment analysis revealed that the purple module was related to cell migration and death. Ten genes were identified as

SUBMITTER: Kim BH 

PROVIDER: S-EPMC9489162 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature