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PMID: 15027084 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Estimation of magnitude in gene-environment interactions in the presence of measurement error.

Statistics in medicine ·Vol. 23 ·No. 6 ·2004-03-30 ·Pages 987-98

Wong MY, Day NE, Luan JA, Wareham NJ

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.

MeSH Terms
Alleles Bias Blood Pressure/genetics Data Interpretation, Statistical Energy Metabolism/genetics Environmental Exposure Female Genotype Humans Male Polymorphism, Genetic
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Wong M Y
Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong, China.
Day N E
Luan J A
Wareham N J
Article Info
Journal
Statistics in medicine
Abbr.
Stat Med
ISSN
0277-6715
Published
2004-03-30
Pages
987-98
Language
English
Region
England
NLM ID
8215016
Subset
IM
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