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Title | Bias in parameter estimates due to omitting gene-environment interaction terms in case-control studies. |
Publication Type | Journal Article |
Year of Publication | 2018 |
Authors | Lobach I |
Journal | Genet Epidemiol |
Volume | 42 |
Issue | 8 |
Pagination | 838-845 |
Date Published | 2018 12 |
ISSN | 1098-2272 |
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. |
DOI | 10.1002/gepi.22154 |
Alternate Journal | Genet. Epidemiol. |
PubMed ID | 30302820 |
PubMed Central ID | PMC6239944 |
Grant List | RC2 AG036528 / AG / NIA NIH HHS / United States U24 AG021886 / AG / NIA NIH HHS / United States U01 AG032984 / AG / NIA NIH HHS / United States U01 AG016976 / AG / NIA NIH HHS / United States R21 AG043710 / AG / NIA NIH HHS / United States U24 AG041689 / AG / NIA NIH HHS / United States 5R21AG043710-02 / NH / NIH HHS / United States |