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帕金森病全基因组关联研究基因座浏览器。

The Parkinson's Disease Genome-Wide Association Study Locus Browser.

机构信息

Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.

Data Tecnica International, Glen Echo, Maryland, USA.

出版信息

Mov Disord. 2020 Nov;35(11):2056-2067. doi: 10.1002/mds.28197. Epub 2020 Aug 31.

Abstract

BACKGROUND

Parkinson'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. © 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.

摘要

背景

帕金森病(PD)是一种神经退行性疾病,其通常具有可通过全基因组关联研究识别的复杂成分。最近的大规模 PD 全基因组关联研究已经确定了超过 90 个独立的 PD 风险变异,这些变异分布在 80 多个基因组区域。当前基因组学的一个主要挑战是确定每个全基因组关联研究位点的因果基因(s)和变异(s)。本研究的目的是创建一种工具,该工具将显示相关 PD 风险基因座的数据,并为每个基因座的因果基因和潜在机制的优先级提供指导。

方法

我们纳入了来自多个最近的 PD 全基因组关联研究的所有显著全基因组信号,包括最近的 PD 风险全基因组关联研究、发病年龄全基因组关联研究、进展全基因组关联研究和亚洲人群 PD 风险全基因组关联研究。我们收集了每个变异体上下游 1Mb 的所有基因的数据,以便用户根据一套自排名标准评估与感兴趣的变异体最相关的基因(s)。针对每个基因查询了多个数据库以收集更多的因果数据。

结果

我们创建了一个 PD 全基因组关联研究浏览器工具(https://pdgenetics.shinyapps.io/GWASBrowser/),以帮助 PD 研究界优先考虑进行后续功能研究的基因,以确定潜在的治疗靶点。

结论

我们的 PD 全基因组关联研究浏览器工具为用户提供了一种有用的方法,可从大规模 PD 全基因组关联研究中识别所有已知 PD 风险基因座的潜在因果基因。随着样本量的增加和新的 PD 风险基因座的发现,我们计划用新的相关数据更新此工具。© 2020 作者。运动障碍由 Wiley 期刊出版社代表国际帕金森病和运动障碍学会出版。本文由美国政府雇员贡献,其工作在美国属于公有领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c56/7754106/454205f5aa44/MDS-35-2056-g001.jpg

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