Using the Genetic Analysis Workshop 12 data, we applied case-control and ca
se-case approaches to study the effects of a major gene and its interaction
with sex on the disease liability. Although no joint additive effect was s
imulated, the case-case approach detected a small but significant multiplic
ative interaction effect, which could not be explained by the effect of ran
dom error. Given that analyses of "real" data will not be made with the kno
wledge of the true effects a priori, this study showed that the measure of
gene x environment interaction is critical and the definition of interactio
n should be explicit. (C) 2001 Wiley-Liss, Inc.