JSM 2005 - Toronto

Abstract #302674

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 4
Type: Invited
Date/Time: Sunday, August 7, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #302674
Title: Strategies for Gene-by-Intervention Association Analysis of SNP Data
Author(s): M. Daniele Fallin and Rasika Mathias*+ and Alexander Wilson and Enrique Herrera and Lisa Yanek and Diane Becker and Nauder Faraday and Lew Becker
Companies: Johns Hopkins University and National Human Genome Research Institute and National Human Genome Research Institute and Johns Hopkins School of Medicine and Johns Hopkins School of Medicine and Johns Hopkins School of Medicine and Johns Hopkins School of Medicine and Johns Hopkins School of Medicine
Address: 333 Cassell Drive, Suite 1200, Baltimore, MD, 21224,
Keywords: gene ; snp ; interaction
Abstract:

Gene-environment interaction is an increasingly important aspect of gene discovery and risk assessment, both due to the reduced power to detect marginal effects when interaction exists and to the translation implications of identifying modifiable environments that interact with genetic risk. One promising avenue in this vein is the identification of genes that influence response to environments, or more specifically, clinical treatments. The case of low-dose aspirin (ASA), a cost-effective and efficacious therapeutic for the prevention and treatment of coronary heart disease with considerable inter-individual response variation is one such example. Motivated by our study of 400 multigenerational families and looking for candidate genes for ASA responsiveness, we have evaluated methods to assess treatment response and test for relationships between those response measures and SNPs/haplotypes of candidate genes. Our focus is on the best approach for choosing genetic markers, compiling information across markers, and assessing statistical significance of gene-by-intervention interactions in the setting of this aspirin intervention family study.

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Revised March 2005