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

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.

journal_name

Genet Epidemiol

journal_title

Genetic epidemiology

authors

Lobach I

doi

10.1002/gepi.22154

subject

Has Abstract

pub_date

2018-12-01 00:00:00

pages

838-845

issue

8

eissn

0741-0395

issn

1098-2272

journal_volume

42

pub_type

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