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Genome Res. 13:2082-2091, 2003
©2003 by Cold Spring Harbor Laboratory Press; ISSN 1088-9051/03 $5.00
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Letter

Pleiotropy, Homeostasis, and Functional Networks Based on Assays of Cardiovascular Traits in Genetically Randomized Populations

Joseph H. Nadeau1,2,3,7, Lindsay C. Burrage1,2,3, Joe Restivo4, Yoh-Han Pao2,5, Gary Churchill6 and Brian D. Hoit4

1 Department of Genetics, Case Western Reserve University School of Medicine, Cleveland, Ohio 44106, USA 2 Center for Computational Genomics, Case Western Reserve University, Cleveland, Ohio 44106, USA 3 Center for Human Genetics, University Hospitals of Cleveland; Cleveland, Ohio 44106, USA 4 Division of Cardiology, Department of Medicine, Case Western Reserve University of Cleveland, and University Hospitals of Cleveland, Cleveland, Ohio 44106, USA 5 Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio 44106, USA 6 Jackson Laboratory, Bar Harbor, Maine 04609, USA

A major problem in studying biological traits is understanding how genes work together to provide organismal structures and functions. Conventional reductionist paradigms attribute functions to particular proteins, motifs, and amino acids. An equally important but harder problem involves the synthesis of data at fundamental levels of biological systems to understand functionality at higher levels. We used subtle, naturally occurring, multigenic variation of cardiovascular (CV) properties in a panel of genetically randomized strains that are derived from the A/J and C57BL/6J strains of mice to perturb CV functions in nonpathologic ways. In this proof-of-concept study, computational analysis correctly identified the known relations among CV properties and revealed functionality at higher levels of the CV system. The network was then used to account for pleiotropies and homeostatic responses in single gene mutant mice and in mice treated with a pharmacologic agent (anesthesia). The CV network accounted for functional dependencies in complementary ways to the insights obtained from genetic networks and biochemical pathways. These networks are therefore an important approach for defining and characterizing functional relations in complex biological systems in health and disease.


Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.1186603.

7 Corresponding author.
E-MAIL jhn4{at}po.cwru.edu; FAX (216) 368-3432.


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