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Estimating indirect parental genetic effects on offspring phenotypes using virtual parental genotypes derived from sibling and half sibling pairs

机译:利用来自兄弟和半兄弟对的虚拟父母基因型估算后代表型对后代表型的间接父母遗传效应

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Indirect parental genetic effects may be defined as the influence of parental genotypes on offspring phenotypes over and above that which results from the transmission of genes from parents to their children. However, given the relative paucity of large-scale family-based cohorts around the world, it is difficult to demonstrate parental genetic effects on human traits, particularly at individual loci. In this manuscript, we illustrate how parental genetic effects on offspring phenotypes, including late onset conditions, can be estimated at individual loci in principle using large-scale genome-wide association study (GWAS) data, even in the absence of parental genotypes. Our strategy involves creating “virtual” mothers and fathers by estimating the genotypic dosages of parental genotypes using physically genotyped data from relative pairs. We then utilize the expected dosages of the parents, and the actual genotypes of the offspring relative pairs, to perform conditional genetic association analyses to obtain asymptotically unbiased estimates of maternal, paternal and offspring genetic effects. We apply our approach to 19066 sibling pairs from the UK Biobank and show that a polygenic score consisting of imputed parental educational attainment SNP dosages is strongly related to offspring educational attainment even after correcting for offspring genotype at the same loci. We develop a freely available web application that quantifies the power of our approach using closed form asymptotic solutions. We implement our methods in a user-friendly software package IMPISH ( IM puting P arental genotypes I n S iblings and H alf Siblings) which allows users to quickly and efficiently impute parental genotypes across the genome in large genome-wide datasets, and then use these estimated dosages in downstream linear mixed model association analyses. We conclude that imputing parental genotypes from relative pairs may provide a useful adjunct to existing large-scale genetic studies of parents and their offspring.
机译:间接父母遗传效应可以被定义为父母基因型对后代表型的影响,以上,从父母到孩子的基因传播。然而,鉴于世界各地的大规模家庭队列的相对缺乏性,难以证明对人类特征的父母遗传影响,特别是在个别基因座上。在该稿件中,我们阐述了对后代表型的父母遗传效应如何原则上使用大规模的基因组关联研究(GWAS)数据在单个基因座中估计包括晚期的遗传表型,即使在没有父母基因型的情况下也可以估计。我们的策略涉及通过从相对对的物理基因分型数据估计亲本基因型的基因型剂量来创建“虚拟”母亲和父亲。然后,我们利用父母的预期剂量,以及后代相对对的实际基因型,进行条件遗传关联分析,以获得母体,父母和后代遗传效应的渐近非偏见估计。我们将我们的方法从英国Biobank应用于19066年的兄弟姐妹对,表明,甚至在纠正同一基因座的后代基因型后,也与后代教育程度组成的多基因分数与后代教育程度相关。我们开发了一个可自由的Web应用程序,这些应用程序使用封闭的形式渐近解决方案量化了我们方法的力量。我们在用户友好的软件包中实现了我们的方法,潜水(IM占PUSTEN GENOTYPES I N S MBLINGS和H ALF SIBLINGS),其允许用户在大型基因组数据集中快速和有效地施加父母基因型,然后使用这些估计的下游线性混合模型协会分析分析。我们得出结论,从相对对中抵御父母基因型可以提供有用的辅助父母及其后代的大规模遗传研究。

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