Wong M Y, Day N E, Luan J A, Wareham N J
Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong, China.
Stat Med. 2004 Mar 30;23(6):987-98. doi: 10.1002/sim.1662.
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.
旨在确定疾病风险中遗传和环境决定因素之间相互作用的研究设计正受到越来越多的关注。在本文中，我们研究了测量暴露因素时误差的影响，以及在一个位点评估基因型对连续结局指标与连续暴露因素及基因型之间关联的影响。本文提出了一种从另一项研究中估计评估基因型时的错误分类误差的方法。如果暴露测量误差很大，那么即使在通常引用的范围内基因分型存在相对较小的误差，也可能对相互作用估计产生显著影响。因此，当暴露因素与遗传因素之间的相互作用显著时，我们考虑一种校正测量误差的方法。最后，我们给出一个流行病学实例来证明校正测量误差的重要性。
