Power and sample size calculations in case-control studies of gene-environment interactions: comments on different approaches
- PMID: 10206617
- DOI: 10.1093/oxfordjournals.aje.a009876
Power and sample size calculations in case-control studies of gene-environment interactions: comments on different approaches
Abstract
Power and sample size considerations are critical for the design of epidemiologic studies of gene-environment interactions. Hwang et al. (Am J Epidemiol 1994;140:1029-37) and Foppa and Spiegelman (Am J Epidemiol 1997;146:596-604) have presented power and sample size calculations for case-control studies of gene-environment interactions. Comparisons of calculations using these approaches and an approach for general multivariate regression models for the odds ratio previously published by Lubin and Gail (Am J Epidemiol 1990; 131:552-66) have revealed substantial differences under some scenarios. These differences are the result of a highly restrictive characterization of the null hypothesis in Hwang et al. and Foppa and Spiegelman, which results in an underestimation of sample size and overestimation of power for the test of a gene-environment interaction. A computer program to perform sample size and power calculations to detect additive or multiplicative models of gene-environment interactions using the Lubin and Gail approach will be available free of charge in the near future from the National Cancer Institute.
Comment on
-
Minimum sample size estimation to detect gene-environment interaction in case-control designs.Am J Epidemiol. 1994 Dec 1;140(11):1029-37. doi: 10.1093/oxfordjournals.aje.a117193. Am J Epidemiol. 1994. PMID: 7985651
-
Power and sample size calculations for case-control studies of gene-environment interactions with a polytomous exposure variable.Am J Epidemiol. 1997 Oct 1;146(7):596-604. doi: 10.1093/oxfordjournals.aje.a009320. Am J Epidemiol. 1997. PMID: 9326439
Similar articles
-
Power and sample size calculations for case-control studies of gene-environment interactions with a polytomous exposure variable.Am J Epidemiol. 1997 Oct 1;146(7):596-604. doi: 10.1093/oxfordjournals.aje.a009320. Am J Epidemiol. 1997. PMID: 9326439
-
Does accounting for gene-environment (GxE) interaction increase the power to detect the effect of a gene in a multifactorial disease?Genet Epidemiol. 2003 Apr;24(3):200-7. doi: 10.1002/gepi.10221. Genet Epidemiol. 2003. PMID: 12652524
-
Misclassification in case-control studies of gene-environment interactions: assessment of bias and sample size.Cancer Epidemiol Biomarkers Prev. 1999 Dec;8(12):1043-50. Cancer Epidemiol Biomarkers Prev. 1999. PMID: 10613335
-
The impact of misclassification in case-control studies of gene-environment interactions.IARC Sci Publ. 1999;(148):89-96. IARC Sci Publ. 1999. PMID: 10493251 Review.
-
Analysis of epidemiologic studies of genetic effects and gene-environment interactions.IARC Sci Publ. 2011;(163):281-301. IARC Sci Publ. 2011. PMID: 22997868 Review.
Cited by
-
Increased risk for congenital heart defects in children carrying the ABCB1 Gene C3435T polymorphism and maternal periconceptional toxicants exposure.PLoS One. 2013 Jul 17;8(7):e68807. doi: 10.1371/journal.pone.0068807. Print 2013. PLoS One. 2013. PMID: 23874772 Free PMC article.
-
Regarding "meta-analysis and causal inference: a case study of benzene and non-Hodgkin lymphoma": an incomplete analysis.Ann Epidemiol. 2011 Jan;21(1):67-9; author reply 70-1. doi: 10.1016/j.annepidem.2010.06.004. Epub 2010 Aug 12. Ann Epidemiol. 2011. PMID: 20705482 Free PMC article. No abstract available.
-
Sample size requirements for case-control study designs.BMC Med Res Methodol. 2001;1:11. doi: 10.1186/1471-2288-1-11. Epub 2001 Nov 19. BMC Med Res Methodol. 2001. PMID: 11747473 Free PMC article.
-
Case-control studies of gene-environment interaction: Bayesian design and analysis.Biometrics. 2010 Sep;66(3):934-48. doi: 10.1111/j.1541-0420.2009.01357.x. Biometrics. 2010. PMID: 19930190 Free PMC article.
-
Sample Size and Power Calculations for Additive Interactions.Epidemiol Methods. 2012 Aug 1;1(1):159-188. doi: 10.1515/2161-962X.1010. Epidemiol Methods. 2012. PMID: 25473594 Free PMC article. No abstract available.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
