The theme of this application is examining gene/environment interactions in rodent models of human disease using cDNA microarrays to link phenotype to genotype. Disease phenotypes arise from complex interactions of organisms with their environments. While the investigators have a long history of associating genes and gene defects with a large array of disease phenotypes, a growing body of data suggests that many disease phenotypes arise from the interactions of genes with their environments, including the genetic background in which the genes are expressed. The goal is to begin an exploration of these interactions using rodent models of human disease and cDNA microarray assays to elucidate patterns of gene expression. This PGA brings together biologists, statisticians, computer scientists, engineers, and physicists who are will lend their expertise to the achievement of the common goals. The proposal builds on existing expertise at TIGR in the analysis of gene expression using cDNA microarrays, the mouse mutagenesis and phenotyping programs that have been developed by The Jackson Laboratories and their collaborators at Penn, Duke, and Boston Universities, and the efforts in rat genomics underway at the Medical College of Wisconsin, including the generation of phenotypically characterized consomic and congenic rat strains. Linking these programs are coordinated efforts in informatics that will both facilitate data exchange between consortium members and will make that data easily accessible to the wider research community. Underlying this is a commitment to continuing to develop and improve the reagents and assays to provide a firm statistical basis for any inferences that the assays provide. Finally, the investigators maintain a commitment to community service and will provide reagents, software, and data generated as part of this PGA to the wider research community. The investigators will develop high-density mouse and rat cDNA microarrays and use these to characterize gene expression in mouse and rat models of heart, lung, and blood diseases as well as sleep disorders. The rodent models to be surveyed will be ascertained by measuring phenotypic response of congenic, consomic, and mutagenized animals to environmental challenges known to elicit responses relevant to these diseases. Gene expression data will be integrated with genotype and phenotype data and analyzed to begin to develop a more complete understanding of the mechanistic basis for these diseases as well as the modifying and mitigating factors contributed by the environment.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project--Cooperative Agreements (U01)
Project #
1U01HL066620-01
Application #
6291603
Study Section
Special Emphasis Panel (ZHL1-CSR-L (S2))
Project Start
2000-09-30
Project End
2004-07-31
Budget Start
2000-09-30
Budget End
2001-07-31
Support Year
1
Fiscal Year
2000
Total Cost
$1,160,146
Indirect Cost
Name
Jackson Laboratory
Department
Type
DUNS #
042140483
City
Bar Harbor
State
ME
Country
United States
Zip Code
04609
Cui, Xiangqin; Hwang, J T Gene; Qiu, Jing et al. (2005) Improved statistical tests for differential gene expression by shrinking variance components estimates. Biostatistics 6:59-75
Kerr, M K; Churchill, G A (2001) Bootstrapping cluster analysis: assessing the reliability of conclusions from microarray experiments. Proc Natl Acad Sci U S A 98:8961-5