UPDF AI

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

D. Kia,David Zhang,11 Authors,N. Wood

2021 · DOI: 10.1001/jamaneurol.2020.5257
JAMA Neurology · 166 Citations

TLDR

It is suggested that gene regulation data may be used to identify candidate genes and pathways involved in sporadic Parkinson disease.

Abstract

Key Points Question What genes and genomic processes underlie risk of sporadic Parkinson disease? Findings This genetic association study integrated Parkinson disease genome-wide association study data and brain-derived gene regulation data using various complementary bioinformatic tools and identified 11 candidate genes with evidence of disease-associated regulatory changes. Coexpression and protein level analyses of these genes demonstrated a significant functional association with known mendelian Parkinson disease genes. Meaning This study suggests that gene regulation data may be used to identify candidate genes and pathways involved in sporadic Parkinson disease.