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ABSTRACT: Background
The analysis of complex diseases is an important problem in human genetics. Because multifactoriality is expected to play a pivotal role, many studies are currently focused on collecting information on the genetic and environmental factors that potentially influence these diseases. However, there is still a lack of efficient and thoroughly tested statistical models that can be used to identify implicated features and their interactions. Simulations using large biologically realistic data sets with known gene-gene and gene-environment interactions that influence the risk of a complex disease are a convenient and useful way to assess the performance of statistical methods.Results
The Gene-Environment iNteraction Simulator 2 (GENS2) simulates interactions among two
SUBMITTER: Pinelli M
PROVIDER: S-EPMC3538511 | biostudies-literature | 2012 Jun
REPOSITORIES: biostudies-literature