Personalized medicine in coronary artery disease: Insights from genomic research

Sang Hak Lee, Dong Jik Shin, Yangsoo Jang

Research output: Contribution to journalReview articlepeer-review

3 Citations (Scopus)


Prior clinical studies have demonstrated that a family history of coronary artery disease (CAD) is associated with future cardiovascular events. Although there are several Mendelian disorders that are associated with CAD, most common forms of CAD are believed to be multifactorial and the result of many genes with small individual effects. The identification of these genes and their variation would be very helpful for the prediction, prevention, and management of CAD; linkage analysis or candidate gene case-control studies have been largely unsuccessful. On the contrary, recent advances in genomic techniques have generated a large amount of deoxyribonucleic acid (DNA)-based information. The link between CAD and inflammation and biological pathways has been highlighted. In particular, several genome-wide association studies have replicated a novel gene market on chromosome 9p21. The information gained from genomic studies, in combination with clinical data, is expected to refine personalized approaches to assess risk and guide management for CAD. Genetic risk scores derived from several functional single nucleotide polymorphisms (SNPs) or haplotypes in multiple genes may improve the prediction of CAD. Despite the complexity of CAD genetics, steady progress is expected.

Original languageEnglish
Pages (from-to)129-137
Number of pages9
JournalKorean Circulation Journal
Issue number4
Publication statusPublished - 2009 Apr

Bibliographical note

Funding Information:
Acknowledgements: This study was funded by the Canadian Institutes of Health Services and Policy Research and of Gender and Health Research (CIHR) (#95355), le Réseau de recherche en santé des populations, and Immigration et métropoles. Le fonds de la recherche en santé du Québec (FRSQ) provided career support to Anita J. Gagnon. CIHR (1999-2004) and the McGill University Faculty of Medicine (2004-05) provided career support to Robert W. Platt. We received in-kind contributions from the Montreal Regional Health Board interpreter services. We acknowledge the assistance of Yongjun Gao in performing the statistical analyses. re]February 24, 2006

All Science Journal Classification (ASJC) codes

  • Internal Medicine
  • Cardiology and Cardiovascular Medicine


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