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RVFam: an R package for rare variant association analysis with family data

机译:RVFam:R包,用于使用家族数据进行稀有变异关联分析

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摘要

Family-based designs offer unique advantage for identifying rare risk variants in genetic association studies. There are existing tools for analyzing rare variants in families but lacking components to handle binary traits properly and survival traits. In this report, we introduce an R software package RVFam (Rare Variant association analysis with Family data) designed to analyze continuous, binary and survival traits against rare and common sequencing variants in genome-wide association studies (GWAS) involving family data. Single and multiple variant association tests were implemented while accounting for arbitrary family structures. Extensive simulation studies were performed to evaluate all the approaches implemented in RVFam.
机译:基于家族的设计为识别遗传关联研究中的罕见风险变异提供了独特的优势。现有的工具可用于分析家族中的稀有变种,但缺少适当处理二进制特征和生存特征的组件。在此报告中,我们介绍了R软件包RVFam(带有家族数据的稀有变异关联分析),旨在分析涉及家族数据的全基因组关联研究(GWAS)中针对稀有和常见测序变异的连续,二进制和生存特征。在考虑任意家庭结构的同时,实施了单变量和多变量关联测试。进行了广泛的仿真研究,以评估RVFam中实施的所有方法。

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