Gene expression phenotypes of atherosclerosis.

Published

Journal Article

OBJECTIVE: Fulfilling the promise of personalized medicine by developing individualized diagnostic and therapeutic strategies for atherosclerosis will depend on a detailed understanding of the genes and gene variants that contribute to disease susceptibility and progression. To that end, our group has developed a nonbiased approach congruent with the multigenic concept of complex diseases by identifying gene expression patterns highly associated with disease states in human target tissues. METHODS AND RESULTS: We have analyzed a collection of human aorta samples with varying degrees of atherosclerosis to identify gene expression patterns that predict a disease state or potential susceptibility. We find gene expression signatures that relate to each of these disease measures and are reliable and robust in predicting the classification for new samples with >93% in each analysis. The genes that provide the predictive power include many previously suspected to play a role in atherosclerosis and additional genes without prior association with atherosclerosis. CONCLUSIONS: Hence, we are reporting a novel method for generating a molecular phenotype of disease and then identifying genes whose discriminatory capability strongly implicates their potential roles in human atherosclerosis.

Full Text

Duke Authors

Cited Authors

  • Seo, D; Wang, T; Dressman, H; Herderick, EE; Iversen, ES; Dong, C; Vata, K; Milano, CA; Rigat, F; Pittman, J; Nevins, JR; West, M; Goldschmidt-Clermont, PJ

Published Date

  • October 2004

Published In

Volume / Issue

  • 24 / 10

Start / End Page

  • 1922 - 1927

PubMed ID

  • 15297278

Pubmed Central ID

  • 15297278

Electronic International Standard Serial Number (EISSN)

  • 1524-4636

Digital Object Identifier (DOI)

  • 10.1161/01.ATV.0000141358.65242.1f

Language

  • eng

Conference Location

  • United States