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Project MinE: study design and pilot analyses of a large-scale whole-genome sequencing study in amyotrophic lateral sclerosis

机译:MinE项目:肌萎缩性侧索硬化症的大规模全基因组测序研究的研究设计和初步分析

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摘要

The most recent genome-wide association study in amyotrophic lateral sclerosis (ALS) demonstrates a disproportionate contribution from low-frequency variants to genetic susceptibility to disease. We have therefore begun Project MinE, an international collaboration that seeks to analyze whole-genome sequence data of at least 15 000 ALS patients and 7500 controls. Here, we report on the design of Project MinE and pilot analyses of successfully sequenced 1169 ALS patients and 608 controls drawn from the Netherlands. As has become characteristic of sequencing studies, we find an abundance of rare genetic variation (minor allele frequency < 0.1%), the vast majority of which is absent in public datasets. Principal component analysis reveals local geographical clustering of these variants within The Netherlands. We use the whole-genome sequence data to explore the implications of poor geographical matching of cases and controls in a sequence-based disease study and to investigate how ancestry-matched, externally sequenced controls can induce false positive associations. Also, we have publicly released genome-wide minor allele counts in cases and controls, as well as results from genic burden tests.
机译:肌萎缩性侧索硬化症(ALS)的最新全基因组关联研究表明,低频变异对疾病遗传易感性的贡献不成比例。因此,我们已经开始了Project MinE,这是一项国际合作,旨在分析至少15000名ALS患者和7500名对照的全基因组序列数据。在这里,我们报告了MinE项目的设计以及对成功测序的1169名ALS患者和608个来自荷兰的对照进行的先导分析。作为测序研究的特征,我们发现了大量罕见的遗传变异(次要等位基因频率<0.1%),其中绝大多数在公共数据集中不存在。主成分分析揭示了荷兰境内这些变体的本地地理集群。我们使用全基因组序列数据来探索基于序列的疾病研究中病例和对照的地理匹配不佳的含义,并研究祖先匹配的外部测序对照如何诱导假阳性关联。此外,我们已公开发布了病例和对照中全基因组范围内的次要等位基因计数,以及基因负荷测试的结果。

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