TY - JOUR
T1 - A General Test for Gene-Environment Interaction in Sib Pair-based Association Analysis of Quantitative Traits
AU - van der Sluis, Sophie
AU - Dolan, Conor
AU - Neale, Michael
AU - Posthuma, Danielle
PY - 2008
Y1 - 2008
N2 - Several association studies support the
hypothesis that genetic variants can modify the influence of
environmental factors on behavioral outcomes, i.e., G 9 E
interaction. The case-control design used in these studies is
powerful, but population stratification with respect to allele
frequencies can give rise to false positive or false negative
associations. Stratification with respect to the environmental
factors can lead to false positives or false negatives
with respect to environmental main effects and G 9 E
interaction effects as well. Here we present a model based
on Fulker et al. (1999) and Purcell (2002) for the study of
G 9 E interaction in family-based association designs, in
which the effects of stratification can be controlled. Simulations
illustrate the power to detect genetic and
environmental main effects, and G 9 E interaction effects
for the sib pair design. The power to detect interaction was
studied in eight different situations, both with and without
the presence of population stratification, and for categorical
and continuous environmental factors. Results show that
the power to detect genetic and environmental main
effects, and G 9 E interaction effects, depends on the
allele frequencies and the distribution of the environmental
moderator. Admixture effects of realistic effect size lead
only to very small stratification effects in the G 9 E
component, so impractically large numbers of sib pairs are
required to detect such stratification.
AB - Several association studies support the
hypothesis that genetic variants can modify the influence of
environmental factors on behavioral outcomes, i.e., G 9 E
interaction. The case-control design used in these studies is
powerful, but population stratification with respect to allele
frequencies can give rise to false positive or false negative
associations. Stratification with respect to the environmental
factors can lead to false positives or false negatives
with respect to environmental main effects and G 9 E
interaction effects as well. Here we present a model based
on Fulker et al. (1999) and Purcell (2002) for the study of
G 9 E interaction in family-based association designs, in
which the effects of stratification can be controlled. Simulations
illustrate the power to detect genetic and
environmental main effects, and G 9 E interaction effects
for the sib pair design. The power to detect interaction was
studied in eight different situations, both with and without
the presence of population stratification, and for categorical
and continuous environmental factors. Results show that
the power to detect genetic and environmental main
effects, and G 9 E interaction effects, depends on the
allele frequencies and the distribution of the environmental
moderator. Admixture effects of realistic effect size lead
only to very small stratification effects in the G 9 E
component, so impractically large numbers of sib pairs are
required to detect such stratification.
U2 - 10.1007/s10519-008-9201-8
DO - 10.1007/s10519-008-9201-8
M3 - Article
SN - 0001-8244
VL - 38
JO - Behavior Genetics
JF - Behavior Genetics
ER -