Identification of Candidate Parkinson Disease Genes by Integrating Genome-Wide Association Study, Expression, and Epigenetic Data Sets.

ABSTRACT:

Importance

Substantial genome-wide association study (GWAS) work in Parkinson disease (PD) has led to the discovery of an increasing number of loci shown reliably to be associated with increased risk of disease. Improved understanding of the underlying genes and mechanisms at these loci will be key to understanding the pathogenesis of PD.

Objective

To investigate what genes and genomic processes underlie the risk of sporadic PD.

Design and setting

This genetic association study used the bioinformatic tools Coloc and transcriptome-wide association study (TWAS) to integrate PD case-control GWAS data published in 2017 with expression data (from Braineac, the Genotype-Tissue Expression [GTEx], and CommonMind) and methylation data (derived from UK Parkinson brain samples)

SUBMITTER: Kia DA 

PROVIDER: S-EPMC7851759 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature