Skip Navigation

This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
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 (13)
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Stürmer, T.
Right arrow Articles by Brenner, H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Stürmer, T.
Right arrow Articles by Brenner, H.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

American Journal of Epidemiology Vol. 155, No. 7 : 593-602
Copyright © 2002 by The Johns Hopkins University School of Hygiene and Public Health


ORIGINAL CONTRIBUTIONS

Flexible Matching Strategies to Increase Power and Efficiency to Detect and Estimate Gene-Environment Interactions in Case-Control Studies

Til Stürmer1,2 and Hermann Brenner1,2

1 Department of Epidemiology, German Centre for Research on Ageing, Heidelberg, Germany.
2 Department of Epidemiology, University of Ulm, Ulm, Germany.

Lack of power is a pertinent problem in many case-control studies of gene-environment interactions. The authors recently introduced the concept of flexible matching strategies with varying proportions of a matching factor among selected controls (degree of matching) to increase the power and efficiency of case-control studies. In this study, they extended the concept of flexible matching strategies to the field of gene-environment interactions. They assessed the power and efficiency of such studies to detect and estimate gene-environment interactions under a variety of assumptions regarding the prevalence and effects of the environmental exposure and the genetic susceptibility as well as their association in the population. For each set of parameters, 10,000 case-control studies were simulated using varying degrees of matching. Traditional frequency matching increased the power and precision in most scenarios, but even greater gains were often obtained by increasing the prevalence of the environmental exposure in controls above the one in cases. The authors concluded that flexible matching strategies can increase the power and efficiency of case-control studies to detect and estimate gene-environment interactions compared with traditional frequency matching and therefore might help to alleviate the notorious lack of power of these studies in specific situations.

case-control studies; confidence intervals; efficiency; environmental exposure; epidemiologic methods; genetic predisposition; research design; sample size

Abbreviations: CCRATIO, control-to-case ratio; DM, degree of matching; INT, gene-environment interaction; ORED|g, odds ratio of exposure-disease association in the absence of the genetic susceptibility; ORED|G, odds ratio of exposure-disease association in the presence of the genetic susceptibility, OREG, odds ratio of exposure-genetic susceptibility association in the population; ORGD|e, odds ratio of genetic susceptibility-disease association in the absence of exposure; PE, prevalence of environmental exposure; PG, prevalence of genetic susceptibility.


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
ANN INTERN MEDHome page
J. P. Vandenbroucke, E. v. Elm, D. G. Altman, P. C. Gotzsche, C. D. Mulrow, S. J. Pocock, C. Poole, J. J. Schlesselman, M. Egger, and for the STROBE initiative
Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration
Ann Intern Med, October 16, 2007; 147(8): W-163 - W-194.
[Abstract] [Full Text] [PDF]


Home page
Am J EpidemiolHome page
W. Schill and P. Wild
RE: "FLEXIBLE MATCHING STRATEGIES TO INCREASE POWER AND EFFICIENCY TO DETECT AND ESTIMATE GENE-ENVIRONMENT INTERACTIONS IN CASE-CONTROL STUDIES"
Am. J. Epidemiol., June 1, 2004; 159(11): 1107 - 1108.
[Full Text] [PDF]


Home page
Am J EpidemiolHome page
T. Sturmer and H. Brenner
THE AUTHORS REPLY
Am. J. Epidemiol., June 1, 2004; 159(11): 1108 - 1108.
[Full Text] [PDF]


Home page
Am. J. Public HealthHome page
K. L. Delucchi
Sample Size Estimation in Research With Dependent Measures and Dichotomous Outcomes
Am J Public Health, March 1, 2004; 94(3): 372 - 377.
[Abstract] [Full Text] [PDF]


Home page
Am J EpidemiolHome page
C. L. Saunders and J. H. Barrett
Flexible Matching in Case-Control Studies of Gene-Environment Interactions
Am. J. Epidemiol., January 1, 2004; 159(1): 17 - 22.
[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.