Identification of Parkinson's disease-related pathways and potential risk factors.

ABSTRACT:

Objective

To identify Parkinson's disease (PD)-associated deregulated pathways and genes, to further elucidate the pathogenesis of PD.

Methods

Dataset GSE100054 was downloaded from the Gene Expression Omnibus, and differentially expressed genes (DEGs) in PD samples were identified. Functional enrichment analyses were conducted for the DEGs. The top 10 hub genes in the protein-protein interaction (PPI) network were screened out and used to construct a support vector machine (SVM) model. The expression of the top 10 genes was then validated in another dataset, GSE46129, and a clinical patient cohort.

Results

A total of 333 DEGs were identified. The DEGs were clustered into two gene sets that were significantly enriched in 12 pathways, of which 8 were significantly dereg

SUBMITTER: Shen J 

PROVIDER: S-EPMC7543192 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature