@article {936, title = {Exome-wide rare variant analysis in familial essential tremor.}, journal = {Parkinsonism Relat Disord}, volume = {82}, year = {2021}, month = {2021 01}, pages = {109-116}, abstract = {

INTRODUCTION: Essential tremor (ET) is one of the most common movement disorders. Despite its high prevalence and heritability, its genetic etiology remains elusive with only a few susceptibility genes identified and poorly replicated. Our aim was to find novel candidate genes involved in ET predisposition through whole exome sequencing.

METHODS: We studied eight multigenerational families (N~=~40 individuals) with an autosomal-dominant inheritance using a comprehensive strategy combining whole exome sequencing followed by case-control association testing of prioritized variants in a separate cohort comprising 521~ET cases and 596 controls. We further performed gene-based burden analyses in an additional dataset comprising 789~ET patients and 770 healthy individuals to investigate whether there was an enrichment of rare deleterious variants within our candidate genes.

RESULTS: Fifteen variants co-segregated with disease status in at least one of the families, among which rs749875462 in CCDC183, rs535864157 in MMP10 and rs114285050 in GPR151 showed a nominal association with ET. However, we found no significant enrichment of rare variants within these genes in cases compared with controls. Interestingly, MMP10 protein is involved in the inflammatory response to neuronal damage and has been previously associated with other neurological disorders.

CONCLUSIONS: We prioritized a set of promising genes, especially MMP10, for further genetic and functional studies in ET. Our study suggests that rare deleterious coding variants that markedly increase susceptibility to ET are likely to be found in many genes. Future studies are needed to replicate and further infer biological mechanisms and potential disease causality for our identified genes.

}, issn = {1873-5126}, doi = {10.1016/j.parkreldis.2020.11.021}, author = {Diez-Fairen, Monica and Houle, Gabrielle and Ortega-Cubero, Sara and Bandres-Ciga, Sara and Alvarez, Ignacio and Carcel, Maria and Iba{\~n}ez, Laura and Fernandez, Maria Victoria and Budde, John P and Trotta, Jean-R{\'e}mi and Tonda, Ra{\'u}l and Chong, Jessica X and Bamshad, Michael J and Nickerson, Deborah A and Aguilar, Miquel and Tartari, Juan P and Gironell, Alexandre and Garc{\'\i}a-Mart{\'\i}n, Elena and Agundez, Jose Ag and Alonso-Navarro, Hortensia and Jimenez-Jimenez, Felix Javier and Fernandez, Manel and Valldeoriola, Francesc and Marti, Maria Jose and Tolosa, Eduard and Coria, Francisco and Pastor, Maria A and Vilari{\~n}o-G{\"u}ell, Carles and Rajput, Alex and Dion, Patrick A and Cruchaga, Carlos and Rouleau, Guy A and Pastor, Pau} } @article {849, title = {The Parkinson{\textquoteright}s Disease Genome-Wide Association Study Locus Browser.}, journal = {Mov Disord}, volume = {35}, year = {2020}, month = {2020 11}, pages = {2056-2067}, abstract = {

BACKGROUND: Parkinson{\textquoteright}s disease (PD) is a neurodegenerative disease with an often complex component identifiable by genome-wide association studies. The most recent large-scale PD genome-wide association studies have identified more than 90 independent risk variants for PD risk and progression across more than 80 genomic regions. One major challenge in current genomics is the identification of the causal gene(s) and variant(s) at each genome-wide association study locus. The objective of the current study was to create a tool that would display data for relevant PD risk loci and provide guidance with the prioritization of causal genes and potential mechanisms at each locus.

METHODS: We included all significant genome-wide signals from multiple recent PD genome-wide association studies including themost recent PD risk genome-wide association study, age-at-onset genome-wide association study, progression genome-wide association study, and Asian population PD risk genome-wide association study. We gathered data for all genes 1 Mb 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. Multiple databases were queried for each gene to collect additional causal data.

RESULTS: We created a PD genome-wide association study browser tool (https://pdgenetics.shinyapps.io/GWASBrowser/) to assist the PD research community with the prioritization of genes for follow-up functional studies to identify potential therapeutic targets.

CONCLUSIONS: Our PD genome-wide association study browser tool provides users with a useful method of identifying potential causal genes at all known PD risk loci from large-scale PD genome-wide association studies. We plan to update this tool with new relevant data as sample sizes increase and new PD risk loci are discovered. {\textcopyright} 2020 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. This article has been contributed to by US Government employees and their work is in the public domain in the USA.

}, keywords = {Age of Onset, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Neurodegenerative Diseases, Parkinson Disease, Risk Factors}, issn = {1531-8257}, doi = {10.1002/mds.28197}, author = {Grenn, Francis P and Kim, Jonggeol J and Makarious, Mary B and Iwaki, Hirotaka and Illarionova, Anastasia and Brolin, Kajsa and Kluss, Jillian H and Schumacher-Schuh, Artur F and Leonard, Hampton and Faghri, Faraz and Billingsley, Kimberley and Krohn, Lynne and Hall, Ashley and Diez-Fairen, Monica and Peri{\~n}{\'a}n, Maria Teresa and Foo, Jia Nee and Sandor, Cynthia and Webber, Caleb and Fiske, Brian K and Gibbs, J Raphael and Nalls, Mike A and Singleton, Andrew B and Bandres-Ciga, Sara and Reed, Xylena and Blauwendraat, Cornelis} }