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Bioinformatics Advance Access published online on June 19, 2008
Bioinformatics, doi:10.1093/bioinformatics/btn317
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© The Author (2008). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

ForSim: A Tool for Exploring the Genetic Architecture of Complex Traits with Controlled Truth

Brian W Lambert 1, Joseph D Terwilliger 2 and Kenneth M Weiss 1,*

1Department of Anthropology, Penn State University, University Park, PA USA
2Department of Psychiatry, Genetics and Development, Columbia Genome Center, Columbia University, New York, NY USA; and Division of Medical Genetics, New York State Psychiatric Institute, New York, NY USA.

*To whom correspondence should be addressed. Dr. Kenneth M Weiss, E-mail: kenweiss{at}psu.edu


  Abstract

Many important problems in biology involve complex traits affected by multiple coding or regulatory parts of the genome. How well the underlying genetic architecture can be inferred by statistical methods such as mapping and association studies are active research areas. ForSim is a flexible forward evolutionary simulation tool for exploring the consequences of evolution by phenotype, whereby demographic, chance, behavioral, and selective effects mold genetic architecture. Simulation is useful for exploring these issues as well as the choice of study design inferential methods

Associate Editor: Prof. Martin Bishop

Received on April 18, 2008; revised on June 17, 2008; accepted on June 17, 2008

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