Abstract #300777

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JSM 2003 Abstract #300777
Activity Number: 227
Type: Invited
Date/Time: Tuesday, August 5, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #300777
Title: Design Options for Studies of Gene-Environment and Gene-Gene Interaction
Author(s): William James Gauderman*+
Companies: University of Southern California
Address: 1540 Alcazar St., CHP-220, Los Angeles, CA, 90089-0001,
Keywords: interaction ; association ; gene ; environment ; design ; power
Abstract:

Epidemiologic studies often address hypotheses related to gene-environment (GxE) and gene-gene (GxG) interaction. We review design options that can be used for testing and estimating interaction effects. We consider both binary and quantitative outcomes. For the former, we focus on case-control, case-sibling, case-parent, and case-only designs. For the latter, we focus on the independent-individuals and parent-offspring trio designs. We describe a general approach to computing power or sample size requirements for tests of GxE or GxG interaction that can be applied to all of these outcome/design settings. The basic idea is to generate the expected distribution of data under the postulated alternative hypothesis and compute the proposed test statistic for these data. This statistic is then referred to the appropriate noncentral chi- square distribution to obtain power for a given sample size, or required sample size for a given power. Sample size requirements will be compared among the various designs. The calculations are performed using the Windows-based program QUANTO, which will be demonstrated. This program is freely available from http://hydra.usc.edu/gxe/

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