期刊
BIOMETRIKA
卷 99, 期 4, 页码 929-944出版社
OXFORD UNIV PRESS
DOI: 10.1093/biomet/ass044
关键词
Case-only estimator; Filtering; Gene-treatment interaction; Multiple testing; Pharmacogenetics; Randomization
资金
- Fred Hutchinson Cancer Research Center
- National Institutes of Health, U.SA
Several two-stage multiple testing procedures have been proposed to detect gene-environment interaction in genome-wide association studies. In this article, we elucidate general conditions that are required for validity and power of these procedures, and we propose extensions of two-stage procedures using the case-only estimator of gene-treatment interaction in randomized clinical trials. We develop a unified estimating equation approach to proving asymptotic independence between a filtering statistic and an interaction test statistic in a range of situations, including marginal association and interaction in a generalized linear model with a canonical link. We assess the performance of various two-stage procedures in simulations and in genetic studies from Women's Health Initiative clinical trials.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据