The goal of Component I is to develop the methodologies and approaches to identification of genes that contribute to cardiovascular disease. We propose to use various measures of gene expression, employing DNA microarrays, SAGE , and protein analysis, to develop experimental approaches to the molecular characterization of atherosclerosis in the aorta. Specifically, we will take a variety of approaches to the determination of gene expression changes that characterize the advance of atherosclerosis in vascular tissue. The overarching goal is to utilize large scale analysis of gene expression to identify patterns that reflect the stages of vascular disease progression. Our work will focus on the analysis of aorta derived from transplant donors that are separated into three groupings based on age: The tissue samples will be analyzed at the time of removal from the presence of vascular disease. We propose to utilize both SAGE and DNA microarray analysis to identify patterns of expression that reflect disease phenotype and then use this information to identify genes that may contribute to cardiovascular disease process. We will also employ proteomics to identify proteins that are specifically modified in these same tissues. This will serve as the basis for the identification of genes that contribute to the disease process and in which polymorphic variations may contribute to the disease process. The gene expression data generated in this component, analyzed by the statistical methodologies detailed in component 4, will yield prioritized gene lists that will feed into the activities of Component 2 for the discovery of polymorphic gene variants. To accomplish these goals we will focus our attention on the collection of vascular tissue from organ transplant donors, that have been characterized with respect to disease progression, to enable the gene expression and protein analyses. We will utilize a variety of complementary technologies for the generation of this data and to then allow a determination of the original approach to the identification of genes that contribute to the disease process.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Program Projects (P01)
Project #
1P01HL073042-01
Application #
6682628
Study Section
Special Emphasis Panel (ZHG1-HGR-P (J3))
Project Start
2002-09-30
Project End
2007-08-31
Budget Start
2002-09-30
Budget End
2003-08-31
Support Year
1
Fiscal Year
2002
Total Cost
$363,432
Indirect Cost
Name
Duke University
Department
Type
DUNS #
071723621
City
Durham
State
NC
Country
United States
Zip Code
27705
Ward-Caviness, Cavin K; Kraus, William E; Blach, Colette et al. (2018) Associations Between Residential Proximity to Traffic and Vascular Disease in a Cardiac Catheterization Cohort. Arterioscler Thromb Vasc Biol 38:275-282
Khawaja, Anthony P; Cooke Bailey, Jessica N; Wareham, Nicholas J et al. (2018) Genome-wide analyses identify 68 new loci associated with intraocular pressure and improve risk prediction for primary open-angle glaucoma. Nat Genet 50:778-782
Mirowsky, Jaime E; Devlin, Robert B; Diaz-Sanchez, David et al. (2017) A novel approach for measuring residential socioeconomic factors associated with cardiovascular and metabolic health. J Expo Sci Environ Epidemiol 27:281-289
Pasquale, Louis R (2016) Vascular and autonomic dysregulation in primary open-angle glaucoma. Curr Opin Ophthalmol 27:94-101
Kovach, Jaclyn L; Schwartz, Stephen G; Agarwal, Anita et al. (2016) The Relationship Between Reticular Pseudodrusen and Severity of AMD. Ophthalmology 123:921-3
Ward-Caviness, Cavin K; Kraus, William E; Blach, Colette et al. (2015) Association of Roadway Proximity with Fasting Plasma Glucose and Metabolic Risk Factors for Cardiovascular Disease in a Cross-Sectional Study of Cardiac Catheterization Patients. Environ Health Perspect 123:1007-14
Li, Zheng; Allingham, R Rand; Nakano, Masakazu et al. (2015) A common variant near TGFBR3 is associated with primary open angle glaucoma. Hum Mol Genet 24:3880-92
Springelkamp, Henriët; Höhn, René; Mishra, Aniket et al. (2014) Meta-analysis of genome-wide association studies identifies novel loci that influence cupping and the glaucomatous process. Nat Commun 5:4883
Loomis, Stephanie J; Kang, Jae H; Weinreb, Robert N et al. (2014) Association of CAV1/CAV2 genomic variants with primary open-angle glaucoma overall and by gender and pattern of visual field loss. Ophthalmology 121:508-16
Clouse, Adam; Deo, Sapna; Rampersaud, Evadnie et al. (2013) Defining a molecular portrait of physical fitness. Anal Bioanal Chem 405:21-6

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