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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 |