European Journal of Epidemiology

, Volume 20, Issue 5, pp 389–393

A method for indirectly estimating gene-environment effect modification and power given only genotype frequency and odds ratio of environmental exposure

Article

Abstract

Both genes and environment are important determinants of disease. In this paper we model gene-environment effect modification on the odds ratio scale OR(GE|D) and show how to indirectly estimate the effect and 95% confidence intervals (CI) for the simple case of no main genetic and environmental effects [i.e.,\( \hbox{ OR}(\hbox{G}\bar{\rm E}|\hbox{D}) = \hbox{OR}(\bar{\rm G}\hbox{E}|\hbox{D}) = 1 \)]. A statistic is presented to test the null hypothesis \( \hbox{OR}(\hbox{GE}|\hbox{D})=1 \) and to calculate corresponding power, given the odds ratio for environmental exposure\( \hbox{ OR}(\hbox{E}|\hbox{D}) \) and population genotype frequency (g). Direct extension of the above model provides a mathematical framework for estimating confidence bounds in more complex cases involving partial genetic and/or environmental effects.

Key words

Gene-environment effect estimation Genotype frequency Odds ratio 

Abbreviations

CI

confidence interval

G6PD

glucose-6-phosphate dehydrogenase

LCI

95% lower confidence interval

OR

odds ratio

PKU

phenylketonuria

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Copyright information

© Springer 2005

Authors and Affiliations

  1. 1.John A. Burns School of MedicineUniversity of Hawai‘i at MānoaHonoluluUSA

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