Sadowski Michal, Dahl Andy W, Zaitlen Noah
Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
STAR Protoc. 2025 Jun 20;6(2):103780. doi: 10.1016/j.xpro.2025.103780. Epub 2025 Apr 16.
Identifying factors that affect treatment response is a central objective of clinical research. Here, we present a protocol to study the genetic architecture of response to commonly prescribed drugs using gene-context interaction techniques. We describe steps for estimating the heritability of drug response with gene-environment interaction mixed model (GxEMM) and identifying gene-drug interactions with gene-environment interaction transcriptome-wide association study (TxEWAS). While the protocol describes application to drug treatments, this framework can be used to characterize the genetic basis of any covariate's effect. For complete details on the use and execution of this protocol, please refer to Sadowski et al..
确定影响治疗反应的因素是临床研究的核心目标。在此,我们提出一项方案,用于使用基因背景相互作用技术研究对常用处方药反应的遗传结构。我们描述了使用基因-环境相互作用混合模型(GxEMM)估计药物反应遗传力以及通过基因-环境相互作用全转录组关联研究(TxEWAS)识别基因-药物相互作用的步骤。虽然该方案描述了在药物治疗中的应用,但这个框架可用于表征任何协变量效应的遗传基础。有关本方案使用和执行的完整详细信息,请参阅萨多夫斯基等人的研究。