Skip Navigation


American Journal of Epidemiology Advance Access originally published online on November 2, 2006
American Journal of Epidemiology 2007 165(3):334-343; doi:10.1093/aje/kwk006
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow All Versions of this Article:
165/3/334    most recent
kwk006v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (2)
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Kooperberg, C.
Right arrow Articles by Psaty, B. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kooperberg, C.
Right arrow Articles by Psaty, B. M.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

American Journal of Epidemiology Copyright © 2006 by the Johns Hopkins Bloomberg School of Public Health All rights reserved; printed in U.S.A.

PRACTICE OF EPIDEMIOLOGY

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

Charles Kooperberg1,2, Joshua C. Bis3,4, Kristin D. Marciante3,4, Susan R. Heckbert3,4, Thomas Lumley2,3 and Bruce M. Psaty3,4,5

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

Correspondence to Charles Kooperberg, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, M3-A410, Seattle, WA 98109-1024 (e-mail: clk{at}fhcrc.org).

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.

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

Abbreviations: ACE, angiotensin-converting enzyme; AGT, angiotensinogen; AGTR, angiotensin II receptor; RAS, renin-angiotensin system; REN, renin; SNP, single nucleotide polymorphism


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 BioinformaticsHome page
D. J. Miller, Y. Zhang, G. Yu, Y. Liu, L. Chen, C. D. Langefeld, D. Herrington, and Y. Wang
An algorithm for learning maximum entropy probability models of disease risk that efficiently searches and sparingly encodes multilocus genomic interactions
Bioinformatics, October 1, 2009; 25(19): 2478 - 2485.
[Abstract] [Full Text] [PDF]


Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.