Identification of potential blood biomarkers for Parkinson's disease by gene expression and DNA methylation data integration analysis.

ABSTRACT:

Background

Blood-based gene expression or epigenetic biomarkers of Parkinson's disease (PD) are highly desirable. However, accuracy and specificity need to be improved, and methods for the integration of gene expression with epigenetic data need to be developed in order to make this feasible.

Methods

Whole blood gene expression data and DNA methylation data were downloaded from Gene Expression Omnibus (GEO) database. A linear model was used to identify significantly differentially expressed genes (DEGs) and differentially methylated genes (DMGs) according to specific gene regions 5'-C-phosphate-G-3' (CpGs) or all gene regions CpGs in PD. Gene set enrichment analysis was then applied to DEGs and DMGs. Subsequently, data integration analysis was performed to identify robust PD

SUBMITTER: Wang C 

PROVIDER: S-EPMC6371578 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature