Unknown

Dataset Information

0

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.

SUBMITTER: Lobach I 

PROVIDER: S-EPMC6239944 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Lobach Iryna I  

Genetic epidemiology 20181009 8


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 i  ...[more]

Similar Datasets

| S-EPMC6812609 | biostudies-literature
| S-EPMC7501161 | biostudies-literature
| S-EPMC3103064 | biostudies-literature
| S-EPMC5624850 | biostudies-literature
| S-EPMC5860584 | biostudies-literature
| S-EPMC5783376 | biostudies-literature
| S-EPMC4336850 | biostudies-literature
| S-EPMC8263402 | biostudies-literature
| S-EPMC6416064 | biostudies-literature
| S-EPMC379117 | biostudies-other