Statin pharmacogenomics: pursuing biomarkers for predicting clinical outcomes.
Year: 2013
Type: review
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.
Source: PubMed
Authors: Joseph P Kitzmiller, Philip F Binkley, Saurabh R Pandey, Adam M Suhy, Damiano Baldassarre, Katherine Hartmann
Institution: The Ohio State University
Language: English
Subfield: Pharmacology
Domain: Life Sciences
Open Access status: green
Funder: National Institutes of Health
OpenAlex ID: W191122097