Title: Gene--environment-wide association studies: emerging approaches.
Authors: Thomas, Duncan
Published In Nat Rev Genet, (2010 Apr)
Abstract: Despite the yield of recent genome-wide association (GWA) studies, the identified variants explain only a small proportion of the heritability of most complex diseases. This unexplained heritability could be partly due to gene--environment (G×E) interactions or more complex pathways involving multiple genes and exposures. This Review provides a tutorial on the available epidemiological designs and statistical analysis approaches for studying specific G×E interactions and choosing the most appropriate methods. I discuss the approaches that are being developed for studying entire pathways and available techniques for mining interactions in GWA data. I also explore methods for marrying hypothesis-driven pathway-based approaches with 'agnostic' GWA studies.
PubMed ID: 20212493
MeSH Terms: Data Mining; Environment*; Epigenesis, Genetic; Genetic Predisposition to Disease; Genome-Wide Association Study/methods*; Genome-Wide Association Study/statistics & numerical data; Genome-Wide Association Study/trends; Humans; Models, Genetic; Risk Factors