Work

ForSim: a tool for exploring the genetic architecture of complex traits with controlled truth

Year: 2008

Type: article

Abstract: UNLABELLED: 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. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Source: Bioinformatics

DOI: 10.1093/bioinformatics/btn317

Authors: Brian W. Lambert, Joseph D. Terwilliger, Kenneth M. Weiss

Institutions: Pennsylvania State University, New York State Psychiatric Institute, Columbia University

Language: English

Topic: Evolution and Genetic Dynamics

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

Funders: National Institutes of Health, National Institute of Mental Health

Award: ANALYZE: Software for Joint Linkage and LD Analysis