On the robustness of tests of genetic associations incorporating gene-environment interaction when the environmental exposure is misspecified

Epidemiology

Volumn 22, Issue 2, 2011, Pages 257-261

  Tchetgen, Eric J Tchetgen ^a   Kraft, Peter ^a  

^a HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL FACTOR; GENE INTERACTION; GENETIC ASSOCIATION; GENOTYPE ENVIRONMENT INTERACTION; HEREDITY; LOGISTIC REGRESSION ANALYSIS; MATHEMATICAL COMPUTING; NULL HYPOTHESIS; PRIORITY JOURNAL; VARIANCE;

ALGORITHMS; ENVIRONMENTAL EXPOSURE; GENETIC PREDISPOSITION TO DISEASE; HUMANS; LIKELIHOOD FUNCTIONS; LOGISTIC MODELS; SENSITIVITY AND SPECIFICITY;

EID: 79951577537     PISSN: 10443983     EISSN: None     Source Type: Journal    
DOI: 10.1097/EDE.0b013e31820877c5     Document Type: Article

References (6)

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2. Tchetgen Tchetgen E. Robust discovery of genetic associations incorporating gene-environment interaction and independence. Epidemiology. 2011;22:262-272.
3. Rosenblum M, van der Laan M. Using regression models to analyze randomized trials: asymptotically valid hypothesis tests despite incorrectly specified models. Biometrics. 2009;65:937-945.
4. Huber PJ. The behavior of maximum likelihood estimates under non-standard conditions. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability. Berkeley, CA: University of California Press; 1967:221-223.
5. Chatterjee N, Carroll RJ. Semiparametric maximum-likelihood estimation exploiting gene-environment independence in case-control studies. Biometrika. 2005;92:399-418. (Pubitemid 40937643)
6. Lindström S, Yen YC, Spiegelman D, Kraft P. The Impact of gene-environment dependence and misclassification in genetic association studies incorporating gene-environment interactions. Hum Hered. 2009; 68:171-181.