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CARDIOVASCULAR GENOMIC MEDICINE

Gene Expression Analysis of Cardiovascular Diseases

Novel Insights Into Biology and Clinical Applications

Division of Cardiology, Department of Medicine and Center for Genomic Medicine, Institute for Genome Sciences and Policy, Duke University Medical Center, Durham, North Carolina.

Manuscript received October 19, 2005; revised manuscript received January 27, 2006, accepted February 8, 2006.

^_* Reprint requests and correspondence: Dr. David Seo, Duke University Medical Center, Box 3382, Durham, North Carolina 27710-0001. (Email: david.seo{at}duke.edu).

Although the contribution of genetics to complex cardiovascular diseases such as atherosclerosis has been accepted for quite some time, full and detailed knowledge of the individual causative genes has been elusive. With the advent of genomic technologies and methods, the necessary tools are now available to begin pinpointing the genes that contribute to disease susceptibility and progression. One approach being applied extensively in candidate gene discovery is gene expression analysis of human and animal tissues using microarrays. The genes identified by these genomic studies provide valuable insight into disease biology and represent the initial steps toward the development of diagnostic tests and therapeutic strategies that will substantially improve human health. This paper highlights the progress that has been made in using gene expression analysis cardiovascular genomic research and the potential for applying these findings in clinical medicine.

Abbreviations and Acronyms   CARGO = Cardiac Allograft Rejection Gene Expression Observational study   DNA = deoxyribonucleic acid   ICM = ischemic cardiomyopathy   LVAD = left ventricular assist device   mRNA = messenger ribonucleic acid   NF = nonfailing (myocardial samples)   NICM = nonischemic cardiomyopathy   PMBC = peripheral blood mononuclear cell   QTL = quantitative trait locus   SNP = single nucleotide polymorphism

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