Movement DisordersGeneticsPeer-reviewed journal article
The Parkinson's Disease GWAS Locus Browser
Francis P. Grenn, Jonggeol Jeffrey KimiD, Mary B. MakariousiD, Hirotaka IwakiiD, Anastasia IllarionovaiD, Kajsa Atterling BroliniD, Jillian H. KlussiD, Artur Francisco Schumacher SchuhiD, Hampton L. LeonardiD, Faraz FaghriiD, Kimberley J. BillingsleyiD, Lynne KrohniD, Ashley HalliD, Mónica Díez-FairéniD, María Teresa PeriñániD, Jia Nee FooiD, Cynthia SandoriD, Caleb WebberiD, Brian K. FiskeiD, Jesse Raphael GibbsiD, Mike A. NallsiD, Andrew SingletoniD, Sara Bandrés‐CigaiD, Xylena ReediD, Cornelis BlauwendraatiD
Abstract
Parkinsons 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.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- research focus: fine-mapping
- research focus: database / resource
- approach: statistical model
- approach: benchmark study
- Citations
- 94
- FWCI
- 6.17
- Field percentile
- top 2%
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