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J Am Coll Cardiol, 2009; 53:1752-1759, doi:10.1016/j.jacc.2008.12.064
© 2009 by the American College of Cardiology Foundation
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CARDIOVASCULAR GENOMIC MEDICINE

Genomics, Transcriptional Profiling, and Heart Failure

Kenneth B. Margulies, MD*,*, Daniel P. Bednarik, PhD{dagger} and Daniel L. Dries, MD, MPH*

* Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
{dagger} Cardiome Pharma Corporation, Vancouver, British Columbia, Canada

Manuscript received June 16, 2008; revised manuscript received October 22, 2008, accepted December 15, 2008.

* Reprint requests and correspondence: Dr. Kenneth B. Margulies, University of Pennsylvania School of Medicine, Room 608, BRB II/III, 421 Curie Boulevard, Philadelphia, Pennsylvania 19104 (Email: ken.margulies{at}uphs.upenn.edu).

Associated with technological progress in deoxyribonucleic acid and messenger ribonucleic acid profiling, advances in basic biology have led to a more complete and sophisticated understanding of interactions among genes, environment, and affected tissues in the setting of complex and heterogeneous conditions such as heart failure (HF). Ongoing identification of mutations causing hereditary hypertrophic and dilated cardiomyopathies has provided both pathophysiological insights and clinically applicable diagnostics for these relatively rare conditions. Genotyping clinical trial participants and genome-wide association studies have accelerated the identification of much more common disease- and treatment-modifying genes that explain patient-to-patient differences that have long been recognized by practicing clinicians. At the same time, increasingly detailed characterization of gene expression within diseased tissues and circulating cells from animal models and patients are providing new insights into the pathophysiology of HF that permit identification of novel diagnostic and therapeutic targets. In this rapidly evolving field, there is already ample support for the concept that genetic and expression profiling can enhance diagnostic sensitivity and specificity while providing a rational basis for prioritizing alternative therapeutic options for patients with cardiomyopathies and HF. Although the extensive characterizations provided by genomic and transcriptional profiling will increasingly challenge clinicians' abilities to utilize complex and diverse information, advances in clinical information technology and user interfaces will permit greater individualization of prevention and treatment strategies to address the HF epidemic.

Key Words: genomics • transcription • heart failure

Abbreviations and Acronyms
  DNA = deoxyribonucleic acid
  EMB = endomyocardial biopsy
  GWAS = genome-wide association studies
  HF = heart failure
  MHC = myosin heavy chain
  miRNA = microribonucleic acid
  mRNA = messenger ribonucleic acid
  RNA = ribonucleic acid
  SNP = single nucleotide polymorphism


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