Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News & Views
  • Published:

Coronary artery disease

A gene-expression score to predict obstructive CAD

Nature Reviews Cardiology volume 10, pages 243–244 (2013)Cite this article

Subjects

A Correction to this article was published on 30 April 2013

This article has been updated

The diagnosis of obstructive coronary artery disease (CAD) can be challenging and relies on noninvasive imaging methods and coronary angiography. Advances in genetic technologies have enabled large-scale gene-expression studies. A gene-expression score has been shown to predict the presence of obstructive CAD.

This is a preview of subscription content, access via your institution

Relevant articles

Open Access articles citing this article.

Access options

Buy this article

  • Purchase on Springer Link
  • Instant access to full article PDF
Buy now

Prices may be subject to local taxes which are calculated during checkout

Figure 1

Change history

  • 30 April 2013

    In the version of this article originally published, the sentence "The investigators also determined that the optimal number of genes to use in their GES was 19, which had a sensitivity of 84%..." which should have been "The investigators also determined that the optimal GES threshold was 19, which had a sensitivity of 84%...". The error has been corrected in the HTML and PDF versions of the article.

References

  1. Gibbons, R. J. et al. ACC/AHA 2002 guideline update for the management of patients with chronic stable angina—summary article: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines (Committee on the Management of Patients With Chronic Stable Angina). J. Am. Coll. Cardiol. 41, 159–168 (2003).

    Article  PubMed  Google Scholar 

  2. Patel, M. R. et al. Low diagnostic yield of elective coronary angiography. N. Engl. J. Med. 362, 886–895 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Thomas, G. S. et al. A blood-based gene expression test for obstructive coronary artery disease tested in symptomatic non-diabetic patients referred for myocardial perfusion imaging: the COMPASS study. Circ. Cardiovasc. Genet. http://dx.doi.org/10.1161/CIRCGENETICS.112.964015.

  4. Manolio, T. A. Genomewide association studies and assessment of the risk of disease. N. Engl. J. Med. 363, 166–176 (2010).

    Article  CAS  PubMed  Google Scholar 

  5. Elashoff, M. R. et al. Development of a blood-based gene expression algorithm for assessment of obstructive coronary artery disease in non-diabetic patients. BMC Med. Genomics 4, 26 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Rosenberg, S. et al. Whole blood gene expression testing for coronary artery disease innondiabetic patients: major adverse cardiovascular events and interventions in the PREDICT trial. J. Cardiovasc. Transl. Res. 5, 366–374 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  7. Lansky, A. et al. A gender-specific blood-based gene expression score for assessing obstructive coronary artery disease in nondiabetic patients: results of the Personalized Risk Evaluation and Diagnosis in the Coronary Tree (PREDICT) trial. Am. Heart J. 164, 320–326 (2012).

    Article  PubMed  Google Scholar 

  8. Bild, D. E. et al. Ethnic differences in coronary calcification: the Multi-Ethnic Study of Atherosclerosis (MESA). Circulation 111, 1313–1320 (2005).

    Article  PubMed  Google Scholar 

  9. Arnett, D. K. Gene expression algorithm for prevalent coronary artery disease: a first step in a long journey. Ann. Intern. Med. 153, 473–474 (2010).

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Radiology and Imaging Sciences, National Institutes of Health, 10 Center Drive, Building 10, Room 1c351, Bethesda, 20892, MD, USA

    Jose D. Vargas

  2. Division of Cardiology, Johns Hopkins Hospital, 600 North Wolfe Street, Blalock 524D1, Baltimore, 21287, MD, USA

    Joao A. C. Lima

Authors
  1. Jose D. Vargas
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Joao A. C. Lima
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jose D. Vargas.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Vargas, J., Lima, J. A gene-expression score to predict obstructive CAD. Nat Rev Cardiol 10, 243–244 (2013). https://doi.org/10.1038/nrcardio.2013.50

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nrcardio.2013.50

This article is cited by

Search

Advanced search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing