Sample size requirements for matched case-control studies of gene-environment interaction

Sample size requirements for matched case-control studies of gene-environment interaction
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DOI:
10.1002/sim.973
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发表时间:
2002-01-15
影响因子:
2
通讯作者:
Gauderman, WJ
Gauderman, WJ
中科院分区:
医学3区
文献类型:
--
作者:
Gauderman, WJ

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在设计新的流行病学研究时,考虑基因-环境(G×E)相互作用正变得越来越重要。在三种具体设计的背景下,我们提出了一种计算所需样本量或检验G×E交互作用的能力的方法:标准匹配病例对照设计、病例同胞设计和病例亲本设计。该方法基于似然比检验统计量的期望值的计算,假设数据将使用条件Logistic回归进行分析。所需样本量的比较表明,基于家庭的设计(病例-兄弟姐妹和病例-亲本)通常比病例对照设计需要更少的匹配集,以实现相同的检测G×E交互作用的能力。在研究显性基因时,病例-同胞设计最有效,而对于隐性基因,病例-亲本设计是首选的。还给出了当从分层人口中获得匹配集时,例如当人口由多个种族组成时,计算样本量的方法。实现该方法的软件程序可以免费获得,并且可以从网站http://hydra.usc.edu/gxe.下载版权所有(C)2002 John Wiley Sons,Ltd.
Consideration of gene-enviromnent (G x E) interaction is becoming increasingly important in the design of new epidemiologic studies. We present a method for computing required sample size or power to detect G x E interaction in the context of three specific designs: the standard matched case-control; the case-sibling, and the case-parent designs. The method is based on computation of the expected value of the likelihood ratio test statistic, assuming that the data will be analysed using conditional logistic regression. Comparisons of required sample sizes indicate that the family-based designs (case-sibling and case-parent) generally require fewer matched sets than the case-control design to achieve the same power for detecting a G x E interaction. The case-sibling design is most efficient when studying a dominant gene, while the case-parent design is preferred for a recessive gene. Methods are also presented for computing sample size when matched sets are obtained from a stratified population, for example, when the population consists of multiple ethnic groups. A software program that implements the method is freely available, and may be downloaded from the website http://hydra.usc.edu/gxe. Copyright (C) 2002 John Wiley Sons, Ltd.