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American Journal of Epidemiology Advance Access published online on November 2, 2006
American Journal of Epidemiology, doi:10.1093/aje/kwk006
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American Journal of Epidemiology Copyright © 2006 by the Johns Hopkins Bloomberg School of Public Health All rights reserved; printed in U.S.A.
Received October 17, 2005
Accepted June 13, 2006

PRACTICE OF EPIDEMIOLOGY

Logic Regression for Analysis of the Association between Genetic Variation in the Renin-Angiotensin System and Myocardial Infarction or Stroke

Charles Kooperberg 1 *, Joshua C. Bis 2, Kristin D. Marciante 2, Susan R. Heckbert 2, Thomas Lumley 3, and Bruce M. Psaty 4

1 Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA; Department of Biostatistics, School of Public Health and Community Medicine, University of Washington, Seattle, WA
2 Cardiovascular Health Research Unit, University of Washington, Seattle, WA; Department of Epidemiology, School of Public Health and Community Medicine, University of Washington, Seattle, WA
3 Department of Biostatistics, School of Public Health and Community Medicine, University of Washington, Seattle, WA; Cardiovascular Health Research Unit, University of Washington, Seattle, WA
4 Cardiovascular Health Research Unit, University of Washington, Seattle, WA; Department of Epidemiology, School of Public Health and Community Medicine, University of Washington, Seattle, WA; Department of Health Services, School of Public Health and Community Medicine, University of Washington, Seattle, WA

* To whom correspondence should be addressed.
Charles Kooperberg, E-mail: clk{at}fhcrc.org


  Abstract

Recent developments in genetic sequencing technology now make it possible to genotype large numbers of single nucleotide polymorphisms (SNPs) in large samples. Many association studies using SNP data are now being carried out. Typically, these observational studies establish whether certain haplotypes or individual SNPs are associated with a health outcome. Few methods exist for finding interaction effects among multiple SNPs or between SNPs and environmental factors. In this paper, the authors describe logic regression, an exploratory method with which to identify interactions for further research. They illustrate this method using data from a US case-control study of myocardial infarction and stroke (1995-1999) carried out among 1,614 persons in Washington State who were genotyped for 32 SNPs on five genes in the renin-angiotensin system.

Keywords: epidemiologic methods; epistasis, genetic; models, statistical; polymorphism, single nucleotide; regression analysis.
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