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Methodology for the analysis of rare genetic variation in genome-wide association and re-sequencing studies of complex human traits

机译:在全基因组关联和复杂人类特征的重测序研究中分析罕见遗传变异的方法

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摘要

Genome-wide association studies have been successful in identifying common variants that impact complex human traits and diseases. However, despite this success, the joint effects of these variants explain only a small proportion of the genetic variance in these phenotypes, leading to speculation that rare genetic variation might account for much of the ‘missing heritability’. Consequently, there has been an exciting period of research and development into the methodology for the analysis of rare genetic variants, typically by considering their joint effects on complex traits within the same functional unit or genomic region. In this review, we describe a general framework for modelling the joint effects of rare genetic variants on complex traits in association studies of unrelated individuals. We summarise a range of widely used association tests that have been developed from this model and provide an overview of the relative performance of these approaches from published simulation studies.
机译:全基因组关联研究已成功鉴定出影响复杂人类特征和疾病的常见变异。然而,尽管取得了成功,但这些变异的共同作用仅解释了这些表型中遗传变异的一小部分,导致人们猜测罕见的遗传变异可能是造成“遗传力缺失”的主要原因。因此,对于稀有遗传变异的分析方法,一直处于令人兴奋的研究和开发阶段,通常是通过考虑它们对同一功能单元或基因组区域内复杂性状的联合影响来进行的。在这篇综述中,我们描述了一个通用的框架,用于在无关个体的关联研究中对稀有遗传变异对复杂性状的联合效应进行建模。我们总结了从该模型开发的一系列广泛使用的关联测试,并从已发布的模拟研究中概述了这些方法的相对性能。

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