Gene by environment interactions.
This paper summarizes the contributions of group 8 to the Genetic Analysis Workshop 15. Group 8 focused on ways to address the possibility that genetic and environmental effects on phenotype may not be independent, but instead may interact in ways that could play important roles in determining phenotype. Among the eight contributors to this group, all three data sets (expression data, rheumatoid arthritis data, and simulated data) were analyzed. Contributions to this section fell into the two broad categories of refining the data (e.g. stratifying or weighting based on a covariate value) and explicitly modeling the interactions. The contributions also illustrate that there are at least two possible goals for such studies. One goal is simply to identify factors contributing to phenotype in the presence of interactions that might mask the signal to univariate methods. A related but distinct goal is to characterize an interaction (e.g. to determine if the interaction is significant).
Culverhouse
Robert C
RC
Department of Medicine, Washington University School of Medicine, 600 South Euclid, St. Louis, MO 63110, USA. rculverh@im.wustl.edu
Suarez
Brian K
BK
Beckmann
Lars
L
Chen
Pei
P
Chen
Yi-Shin
YS
Chiu
Yen-Feng
YF
Chang-Claude
Jenny
J
Dempfle
Astrid
A
Hein
Rebecca
R
Kazma
Rémi
R
Lebrec
Jérémie J P
JJ
Lee
Seungmook
S
Lim
Sooyeol
S
Maher
Brion S
BS
Park
Taesung
T
Perdry
Hervé
H
Wang
Ke-Sheng
KS
Wolkow
Pawel P
PP
Xu
Wei
W
D001172:Arthritis, Rheumatoid / Q000235:genetics; D004777:Environment; D005260:Female; D005826:Genetics, Medical; D006801:Humans; D008297:Male; D008957:Models, Genetic