RT Journal Article
SR Electronic
T1 The Parkinson’s Disease GWAS Locus Browser
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.04.01.020404
DO 10.1101/2020.04.01.020404
A1 Francis P. Grenn
A1 Jonggeol J. Kim
A1 Mary B. Makarious
A1 Hirotaka Iwaki
A1 Anastasia Illarionova
A1 Kajsa Brolin
A1 Jillian H. Kluss
A1 Artur F. Schumacher-Schuh
A1 Hampton Leonard
A1 Faraz Faghri
A1 Kimberley Billingsley
A1 Lynne Krohn
A1 Ashley Hall
A1 Monica Diez-Fairen
A1 Maria Teresa Periñán
A1 Cynthia Sandor
A1 Caleb Webber
A1 J. Raphael Gibbs
A1 Mike A. Nalls
A1 Andrew B. Singleton
A1 Sara Bandres-Ciga
A1 Xylena Reed
A1 Cornelis Blauwendraat
A1 on behalf of the International Parkinson’s Disease Genomics Consortium (IPDGC)
YR 2020
UL http://biorxiv.org/content/early/2020/04/03/2020.04.01.020404.abstract
AB Parkinson’s disease (PD) is a neurodegenerative disease with an often complex genetic component identifiable by genome-wide association studies (GWAS). The most recent large scale PD GWASes have identified more than 90 independent risk variants for PD risk and progression across 80 loci. One major challenge in current genomics is identifying the causal gene(s) and variant(s) from each GWAS locus. Here we present a GWAS locus browser application that combines data from multiple databases to aid in the prioritization of genes associated with PD GWAS loci. We included 92 independent genome-wide significant signals from multiple recent PD GWAS studies including the PD risk GWAS, age-at-onset GWAS and progression GWAS. We gathered data for all 2336 genes within 1Mb up and downstream of each variant to allow users to assess which gene(s) are most associated with the variant of interest based on a set of self-ranked criteria. Our aim is that the information contained in this browser (https://pdgenetics.shinyapps.io/GWASBrowser/) will assist the PD research community with the prioritization of genes for follow-up functional studies and as potential therapeutic targets.