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Gene by environment interactions

Authors :
Sooyeol Lim
Taesung Park
Brian K. Suarez
Yi-Shin Chen
Wei Xu
Rebecca Hein
Brion S. Maher
Jenny Chang-Claude
Jérémie J P Lebrec
Seungmook Lee
Robert Culverhouse
Yen-Feng Chiu
Astrid Dempfle
Pei Chen
Lars Beckmann
Rémi Kazma
Hervé Perdry
Pawel P Wolkow
Ke-Sheng Wang
Source :
Genetic Epidemiology. 31:S68-S74
Publication Year :
2007
Publisher :
Wiley, 2007.

Abstract

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). Genet. Epidemiol. 31(Suppl. 1):S68–S74, 2007. © 2007 Wiley-Liss, Inc.

Details

ISSN :
10982272 and 07410395
Volume :
31
Database :
OpenAIRE
Journal :
Genetic Epidemiology
Accession number :
edsair.doi.dedup.....371a2051580601d7310d7ba1556d28f1
Full Text :
https://doi.org/10.1002/gepi.20282