Statin pharmacogenomics: pursuing biomarkers for predicting clinical outcomes

Discov Med. 2013 Aug;16(86):45-51.

Abstract

Indicated for treating hyperlipidemias and for the prevention of cardiovascular disease (CVD), statins rank among the most commonly prescribed drug classes. While statins are considered to be highly effective in preventing atherosclerotic events, a substantial portion of treated patients still progress to overt CVD. Genetic factors are thought to contribute substantially to treatment outcome. Several candidate genes have been associated with statin dose requirements and treatment outcomes, but a clinically relevant pharmacogenomics test to guide statin therapy has not yet emerged. Here we define basic pharmacogenomics terminology, present strong candidate genes (CETP, HMGCR, SLCO1B1, ABCB1, and CYP3A4/5), and discuss the challenges in developing much-needed statin pharmacogenomics biomarkers for predicting treatment outcomes.

Publication types

  • Research Support, N.I.H., Extramural
  • Review

MeSH terms

  • Biomarkers / metabolism*
  • Cardiovascular Diseases / prevention & control
  • Humans
  • Hydroxymethylglutaryl-CoA Reductase Inhibitors / therapeutic use*
  • Hyperlipidemias / drug therapy*
  • Hyperlipidemias / genetics
  • Pharmacogenetics
  • Prognosis
  • Treatment Outcome

Substances

  • Biomarkers
  • Hydroxymethylglutaryl-CoA Reductase Inhibitors