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Estimation of magnitude in gene–environment interactions in the presence of measurement error
Author(s) -
Wong M. Y.,
Day N. E.,
Luan J. A.,
Wareham N. J.
Publication year - 2004
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.1662
Subject(s) - observational error , statistics , estimation , genotyping , econometrics , computer science , genotype , measure (data warehouse) , mathematics , biology , genetics , data mining , gene , economics , management
The design of studies aimed at identifying the interaction between genetic and environmental determinants in disease risk is attracting increased attention. In this paper, we study the effect of errors on measuring exposures and the effect of assessing genotype at one locus on the association of a continuous outcome measure with continuous exposures and genotype. The estimation of misclassification errors in assessing genotypes from a separate study is proposed. If the exposure measurement error is substantial, then even relatively small errors in genotyping within limits that are often quoted can have an appreciable effect on interaction estimates. We, thus, consider a method for correcting the measurement errors when the interaction between the exposures and the genetic factor is significant. Finally, we present an epidemiological example to demonstrate the importance of correcting measurement errors. Copyright © 2004 John Wiley & Sons, Ltd.