The Impact of Gene-Environment Dependence and Misclassification in Genetic Association Studies Incorporating Gene-Environment Interactions

被引:32
作者
Lindstrom, Sara [1 ,2 ]
Yen, Yu-Chun [1 ,2 ]
Spiegelman, Donna [1 ,3 ]
Kraft, Peter [1 ,2 ,3 ]
机构
[1] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[2] Harvard Univ, Sch Publ Hlth, Program Mol & Genet Epidemiol, Boston, MA 02115 USA
[3] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
基金
瑞典研究理事会;
关键词
Gene-environment interaction; Misclassification; Power; Gene-environment dependence; Case control study; SAMPLE-SIZE REQUIREMENTS; LUNG-CANCER; SUSCEPTIBILITY LOCUS; LOGISTIC-REGRESSION; NICOTINE DEPENDENCE; MEASUREMENT ERROR; EXPOSURE; DESIGNS; RISK; VALIDATION;
D O I
10.1159/000224637
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The possibility of gene-environment interaction can be exploited to identify genetic variants associated with disease using a joint test of genetic main effect and gene-environment interaction. We consider how exposure misclassification and dependence between the true exposure E and the tested genetic variant G affect this joint test in absolute terms and relative to three other tests: the marginal test (G), the standard test for multiplicative gene-environment interaction (GE), and the case-only test for interaction (GE-CO). All tests can have inflated Type I error rate when E and G are correlated in the underlying population. For the GE and G-GE tests this inflation is only noticeable when the gene-environment dependence is unusually strong; the inflation can be large for the GE-CO test even for modest correlation. The joint G-GE test has greater power than the GE test generally, and greater power than the G test when there is no genetic main effect and the measurement error is small to moderate. The joint G-GE test is an attractive test for assessing genetic association when there is limited knowledge about casual mechanisms a priori, even in the presence of misclassification in environmental exposure measurement and correlation between exposure and genetic variants. Copyright (C) 2009 S. Karger AG, Basel
引用
收藏
页码:171 / 181
页数:11
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