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确定罕见编码变异在已知帕金森病风险基因座中的作用。

Establishing the role of rare coding variants in known Parkinson's disease risk loci.

作者信息

Jansen Iris E, Gibbs J Raphael, Nalls Mike A, Price T Ryan, Lubbe Steven, van Rooij Jeroen, Uitterlinden André G, Kraaij Robert, Williams Nigel M, Brice Alexis, Hardy John, Wood Nicholas W, Morris Huw R, Gasser Thomas, Singleton Andrew B, Heutink Peter, Sharma Manu

机构信息

Department of Clinical Genetics, VU University Medical Center, Amsterdam, the Netherlands; Genome Biology of Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.

Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA.

出版信息

Neurobiol Aging. 2017 Nov;59:220.e11-220.e18. doi: 10.1016/j.neurobiolaging.2017.07.009. Epub 2017 Aug 2.

Abstract

Many common genetic factors have been identified to contribute to Parkinson's disease (PD) susceptibility, improving our understanding of the related underlying biological mechanisms. The involvement of rarer variants in these loci has been poorly studied. Using International Parkinson's Disease Genomics Consortium data sets, we performed a comprehensive study to determine the impact of rare variants in 23 previously published genome-wide association studies (GWAS) loci in PD. We applied Prix fixe to select the putative causal genes underneath the GWAS peaks, which was based on underlying functional similarities. The Sequence Kernel Association Test was used to analyze the joint effect of rare, common, or both types of variants on PD susceptibility. All genes were tested simultaneously as a gene set and each gene individually. We observed a moderate association of common variants, confirming the involvement of the known PD risk loci within our genetic data sets. Focusing on rare variants, we identified additional association signals for LRRK2, STBD1, and SPATA19. Our study suggests an involvement of rare variants within several putatively causal genes underneath previously identified PD GWAS peaks.

摘要

许多常见遗传因素已被确定与帕金森病(PD)易感性相关,这增进了我们对相关潜在生物学机制的理解。对这些基因座中罕见变异的研究较少。利用国际帕金森病基因组学联盟数据集,我们进行了一项全面研究,以确定23个先前发表的全基因组关联研究(GWAS)基因座中的罕见变异对PD的影响。我们应用套餐定价法根据潜在功能相似性来选择GWAS峰下的推定因果基因。序列核关联检验用于分析罕见、常见或两种类型变异对PD易感性的联合效应。所有基因作为一个基因集同时进行测试,每个基因也单独进行测试。我们观察到常见变异存在中度关联,证实了我们遗传数据集中已知的PD风险基因座的参与。聚焦于罕见变异,我们确定了LRRK2、STBD1和SPATA19的额外关联信号。我们的研究表明,先前确定的PD GWAS峰下的几个推定因果基因中存在罕见变异。

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