cardiology.duke.edu  
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Cardiovascular Genetic and Genomic Sciences
Overview | Physiologic Regulation | Molecular Biology
CATHGEN | The AGENDA Project | Translational Genomics

Translational Genomics

 

Most would agree that complex cardiovascular diseases such as atherosclerosis result from the interaction between one’s inherent genetic makeup and environmental factors such as smoking, exercise and diet.
 
The primary goal of our laboratory is to identify the genes that contribute to cardiovascular disease using genomic technologies such as microarray and metabolomic analyses. By combining information from studies of both human and animals, we hope to distill the massive amounts of data derived from these high-throughput techniques. Our primary areas of interest include atherosclerosis, acute heart failure and atrial fibrillation.    
 
 
Selected Publications
  1. Seo D, Wang T, Dressman H, Herderick EE, Herderick EH, Iversen E, Dong C, Vata K, Milano CA, Rigat F, Pittman J, Nevins JR, West M, Goldschmidt-Clermont PJ. Gene expression phenotypes of atherosclerosis. Arteriosclerosis, Thrombosis and Vascular Biology. Oct 2004 24: 1922-27. 
  2. Ravi K, Vamullapalli S, Goldschmidt-Clermont PJ, Herderick EE, Nevins JR, West M, Dong C, Seo D. Molecular evidence for arterial repair in atherosclerosis. PNAS, Nov 2005 102: 16789-16794.
  3. Seo D and Ginsburg G. Genomic Medicine: Bringing biomarkers to clinical medicine. Current Opinions in Chemical Biology. Aug 2005 9:381-6.
  4. Seo D, Ginsburg G, and Goldschmidt-Clermont PJ. Gene expression analysis of cardiovascular diseases: Novel Insights to Biology and Clinical Applications. Journal of the American College of CardiologyJun 2006 48: 227-35.
  5. Frazier C, Seo D, Ginsburg G. Microarrays coming of age in cardiovascular medicine: Standards, predictions and biology. Journal of the American College of Cardiology. Editorial. In Press.
  6. Wang Q*, Seo D*, Koontz J, Pittman J, Yao G, Dobra A, Black E, Huang E, West M, Nevins J, Dressman H. Tools That Integrate Supervised and Unsupervised Methods for Gene Expression Analysis, BMC Bioinformatics. Accepted for publication (*Co-first author).
 
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