Estimation of magnitude in gene - Environment interactions in the presence of measurement error

M. Y. Wong, Nick E. Day*, J. A. Luan, N. J. Wareham

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

61 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)987-998
Number of pages12
JournalStatistics in Medicine
Volume23
Issue number6
DOIs
Publication statusPublished - 30 Mar 2004

Keywords

  • Environmental exposure
  • Gene-environment interaction
  • Genotype
  • Measurement error model

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