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Meta-analysis of whole-exome sequencing data from two independent cohorts finds no evidence for rare variant enrichment in Parkinson disease associated loci

机译:来自两个独立队列的全外序列数据的META分析没有发现帕金森病相关基因群岛罕见的变异富集

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摘要

Parkinson disease (PD) is a complex neurodegenerative disorder influenced by both environmental and genetic factors. While genome wide association studies have identified several susceptibility loci, many causal variants and genes underlying these associations remain undetermined. Identifying these is essential in order to gain mechanistic insight and identify biological pathways that may be targeted therapeutically. We hypothesized that gene-based enrichment of rare mutations is likely to be found within susceptibility loci for PD and may help identify causal genes. Whole-exome sequencing data from two independent cohorts were analyzed in tandem and by meta-analysis and a third cohort genotyped using the NeuroX-array was used for replication analysis. We employed collapsing methods (burden and the sequence kernel association test) to detect gene-based enrichment of rare, protein-altering variation within established PD susceptibility loci. Our analyses showed trends for three genes (GALC, PARP9 and SEC23IP), but none of these survived multiple testing correction. Our findings provide no evidence of rare mutation enrichment in genes within PD-associated loci, in our datasets. While not excluding that rare mutations in these genes may influence the risk of idiopathic PD, our results suggest that, if such effects exist, much larger sequencing datasets will be required for their detection.
机译:帕金森病(PD)是一种受环境和遗传因素影响的复杂神经变性障碍。虽然基因组宽协会研究已经确定了几个易感性锁骨,但这些关联的许多因果变体和基因仍未确定。确定这些是必不可少的,以获得机械洞察力并鉴定可能针对治疗的生物途径。我们假设基因基因的富含稀有突变的富集可能在PD的易感性区内发现,并且可能有助于识别因果基因。分析来自两个独立队列的全外序列数据,并通过META分析和使用神经毒阵列进行基因分型的第三群组进行复制分析。我们采用崩溃的方法(负担和序列核结合测试)来检测在已建立的PD易感位点内的基于基于罕见的蛋白质改变变化的基因富集。我们的分析显示了三个基因(GALC,PARP9和SEC23IP)的趋势,但这些都没有这些浪费多次测试校正。我们的调查结果在我们的数据集中提供了PD相关基因座内的基因中的罕见突变富集的证据。虽然不排除这些基因中的罕见突变可能影响特发性PD的风险,但我们的结果表明,如果存在这种效果,则检测需要更大的测序数据集。

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