Bias in parameter estimates due to omitting gene-environment interaction terms in case-control studies.

• 影响指数: 2.344
• 发表时间: 12 2018
• 来源期刊: Genet Epidemiol
• DOI: 10.1002/gepi.22154
• PMID: 30302820
• 文章类型: Journal Article
• 中科院分区: Q3
• 方向: 医学
• 作者列表: Lobach I

关键词: Alzheimer’s disease; Kullback-Leibler divergence; case-control studies; gene-environment interactions (G×E); omitting variables

Mesh: Alzheimer Disease / genetics; Bias; Case-Control Studies; Computer Simulation; Gene-Environment Interaction; Genetic Variation; Genotype; Humans; Logistic Models; Toll-Like Receptors / genetics

Abstract

Genetic studies are continuing to generate volumes and variety of data that can be used to examine the genetic effects. Often the effect of a genetic variant varies by nongenetic measures, what is traditionally defined as gene-environment interaction (G×E). If the G×E term is neglected, estimates of the main effects can be substantially biased. We derive a general and convenient approximation to the magnitude of bias in the estimates due to omitting the G×E term. We show that the approximation is reasonably accurate in finite samples. We then apply the approximation in a study of Alzheimer\'s disease.