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PMID: 18368372 Published · ppublish English Journal Article Review

An informatics approach to systems neurogenetics.

Methods in molecular biology (Clifton, N.J.) ·Vol. 401 ·2007-00-00 ·Pages 287-303

Rosen GD, Chesler EJ, Manly KF, Williams RW

Abstract

We outline the theory behind complex trait analysis and systems genetics and describe web-accessible resources including GeneNetwork (GN) that can be used for rapid exploratory analysis and hypothesis testing. GN, in particular, is a tightly integrated suite of bioinformatics tools and data sets, which supports the investigation of complex networks of gene variants, molecules, and cellular processes that modulate complex traits, including behavior and disease susceptibility. Using various statistical tools, users are able to analyze gene expression in various brain regions and tissues, map loci that modulate these traits, and explore genetic covariance among traits. Taken together, these tools enable the user to begin to assess complex interactions of gene networks, and facilitate analysis of traits using a systems approach.

MeSH Terms
Animals Computational Biology Databases, Genetic Humans Information Storage and Retrieval Neurons/physiology Quantitative Trait Loci
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Rosen Glenn D
Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
Chesler Elissa J
Manly Kenneth F
Williams Robert W
Article Info
Journal
Methods in molecular biology (Clifton, N.J.)
Abbr.
Methods Mol Biol
ISSN
1064-3745
Published
2007-00-00
Pages
287-303
Language
English
Region
United States
NLM ID
9214969
Subset
IM
Analysis Services
Analysis Services

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