Gjerdevik Miriam, Haaland Øystein A, Romanowska Julia, Lie Rolv T, Jugessur Astanand, Gjessing Håkon K
Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Department of Genetic Research and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway.
Ann Hum Genet. 2018 Mar;82(2):60-73. doi: 10.1111/ahg.12224. Epub 2017 Nov 2.
With case-parent triad data, one can frequently deduce parent of origin of the child's alleles. This allows a parent-of-origin (PoO) effect to be estimated as the ratio of relative risks associated with the alleles inherited from the mother and the father, respectively. A possible cause of PoO effects is DNA methylation, leading to genomic imprinting. Because environmental exposures may influence methylation patterns, gene-environment interaction studies should be extended to allow for interactions between PoO effects and environmental exposures (i.e., PoOxE). One should thus search for loci where the environmental exposure modifies the PoO effect. We have developed an extensive framework to analyze PoOxE effects in genome-wide association studies (GWAS), based on complete or incomplete case-parent triads with or without independent control triads. The interaction approach is based on analyzing triads in each exposure stratum using maximum likelihood estimation in a log-linear model. Interactions are then tested applying a Wald-based posttest of parameters across strata. Our framework includes a complete setup for power calculations. We have implemented the models in the R software package Haplin. To illustrate our PoOxE test, we applied the new methodology to top hits from our previous GWAS, assessing whether smoking during the periconceptional period modifies PoO effects on cleft palate only.
利用病例-双亲三联体数据,通常可以推断出孩子等位基因的亲本来源。这使得可以将亲本来源(PoO)效应估计为分别与从母亲和父亲遗传的等位基因相关的相对风险之比。PoO效应的一个可能原因是DNA甲基化,导致基因组印记。由于环境暴露可能影响甲基化模式,基因-环境相互作用研究应加以扩展,以考虑PoO效应与环境暴露之间的相互作用(即PoOxE)。因此,人们应该寻找环境暴露会改变PoO效应的基因座。我们已经开发了一个广泛的框架,用于在全基因组关联研究(GWAS)中分析PoOxE效应,该框架基于有或没有独立对照三联体的完整或不完整病例-双亲三联体。相互作用方法基于在对数线性模型中使用最大似然估计分析每个暴露层中的三联体。然后通过跨层参数的基于Wald的后检验来检验相互作用。我们的框架包括用于功效计算的完整设置。我们已经在R软件包Haplin中实现了这些模型。为了说明我们的PoOxE检验,我们将新方法应用于我们之前GWAS的顶级命中结果,评估孕期吸烟是否仅改变PoO对腭裂的影响。