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Bioinformatics Advance Access originally published online on June 19, 2008
Bioinformatics 2008 24(16):1821-1822; 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 2,3 and Kenneth M. Weiss 1,*

1Department of Anthropology, Penn State University, University Park, PA, 2Department of Psychiatry, Genetics and Development, Columbia Genome Center, Columbia University and 3Division of Medical Genetics, New York StatePsychiatric Institute, New York, NY, USA

*To whom correspondence should be addressed.


  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.

Contact: bwl1{at}psu.edu

Supplementary information: Supplementary data are available at Bioinformatics online.

Associate Editor: Martin Bishop

Received on March 10, 2008; revised on May 22, 2008; accepted on May 22, 2008

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