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‘Location, Location, Location’: a spatial approach for rare variant analysis and an application to a study on non-syndromic cleft lip with or without cleft palate

机译:“位置,位置,位置”:一种用于稀有变异分析的空间方法,并应用于研究非综合征性唇left裂(有或没有c裂)

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Motivation: For the analysis of rare variants in sequence data, numerous approaches have been suggested. Fixed and flexible threshold approaches collapse the rare variant information of a genomic region into a test statistic with reduced dimensionality. Alternatively, the rare variant information can be combined in statistical frameworks that are based on suitable regression models, machine learning, etc. Although the existing approaches provide powerful tests that can incorporate information on allele frequencies and prior biological knowledge, differences in the spatial clustering of rare variants between cases and controls cannot be incorporated. Based on the assumption that deleterious variants and protective variants cluster or occur in different parts of the genomic region of interest, we propose a testing strategy for rare variants that builds on spatial cluster methodology and that guides the identification of the biological relevant segments of the region. Our approach does not require any assumption about the directions of the genetic effects.
机译:动机:为了分析序列数据中的稀有变异,已提出了许多方法。固定和灵活的阈值方法将基因组区域的稀有变异信息分解为维数减少的测试统计量。或者,可以将稀有变异信息组合到基于合适的回归模型,机器学习等的统计框架中。尽管现有方法提供了强大的测试,可以结合有关等位基因频率和先验生物学知识的信息,但空间聚类的差异案例和控件之间的罕见变体无法合并。基于有害变体和保护变体聚集或出现在感兴趣的基因组区域的不同部分的假设,我们提出了基于空间聚类方法的稀有变体检测策略,该策略指导对该区域生物学相关部分的鉴定。我们的方法不需要任何关于遗传效应方向的假设。

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