Efficient designs of gene-environment interaction studies: implications of Hardy-Weinberg equilibrium and gene-environment independence.

doi:10.1002/sim.4460

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Article

Efficient designs of gene-environment interaction studies: implications of Hardy-Weinberg equilibrium and gene-environment independence.

Statistics in medicine - 28 Sept 2012

Chen Jinbo, Kang Guolian, Vanderweele Tyler, Zhang Cuilin, Mukherjee Bhramar

Abstract excerpt

It is important to investigate whether genetic susceptibility variants exercise the same effects in populations that are differentially exposed to environmental risk factors. Here, we assess the power of four two-stage case-control design strategies for assessing multiplicative gene-environment (G-E) interactions or for assessing genetic or environmental effects in the presence of G-E interactions. We considered...

Topics

Case-Control Studies
Computer Simulation
Data Interpretation, Statistical
Gene-Environment Interaction
Humans
Polymorphism, Single Nucleotide
Research Design

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Open in PubMed Open full text

Identifiers

PMID: 22362617
DOI: 10.1002/sim.4460
PMCID: PMC3448495

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