TY - JOUR
AU1 - Efird, Jimmy
AB - 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.
TI - A method for indirectly estimating gene-environment effect modification and power given only genotype frequency and odds ratio of environmental exposure
JF - European Journal of Epidemiology
DO - 10.1007/s10654-005-2018-3
DA - 2005-02-09
UR - https://www.deepdyve.com/lp/springer-journals/a-method-for-indirectly-estimating-gene-environment-effect-D7YzSDCEjq
SP - 389
EP - 393
VL - 20
IS - 5
DP - DeepDyve
ER -