JSM 2005 Online Program

Abstract #304003

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	385
Type:	Topic Contributed
Date/Time:	Wednesday, August 10, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Statistical Consulting
Abstract - #304003
Title:	Study Design Options for Assessing Gene-environment and Gene-gene Interaction
Author(s):	W. James Gauderman*+
Companies:	University of Southern California
Address:	1540 Alcazar St Suite 220, Los Angeles, CA, 90089, United States
Keywords:	Interaction ; Association ; Power ; Family-based ; SNP
Abstract:	Epidemiologic studies often address hypotheses related to gene-environment (GxE) and/or gene-gene (GxG) interaction. These studies are facilitated by the increasing availability of genotypes at candidate gene loci, including both functional variants and single nucleotide polymorphism (SNP) markers. I review design options that can be used for testing interactions and estimating their corresponding effects. I consider both disease and quantitative outcomes. For a disease outcome, I consider the case-control, case-sibling, case-parent, and case-only designs. For a quantitative outcome, I consider the parent-offspring-trio and independent-individuals designs. I describe a general approach to computing power or sample size requirements that can be used for any of these designs. Sample size requirements for detecting GxE and GxG interactions will be given with emphasis on the relative efficiency of the various study designs. I also will demonstrate the Windows-based program QUANTO, which computes sample size or power for tests of genetic or environmental main effects and for GxE and GxG interactions.

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