ReviewDiscovery medicine2013
Statin pharmacogenomics: pursuing biomarkers for predicting clinical outcomes.
Review in Discovery medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- ABCB1 C3435T polymorphism and the lipid-lowering response in hypercholesterolemic patients on statins: a meta-analysis.Lipids in health and disease · 2015Pooled it
- Frameshift variation in the HMG-CoA reductase gene and unresponsiveness to cholesterol-lowering drugs in type 2 diabetes mellitus patients.Scientific reports · 2025Trial
- Liver enzyme elevations during statin-ezetimibe therapy inFrontiers in pharmacology · 2026Article
- Investigating the role of genetic variations ofSaudi medical journal · 2025Article
- Statins-Beyond Their Use in Hypercholesterolemia: Focus on the Pediatric Population.Children (Basel, Switzerland) · 2024Review
- Article
- Sub-optimal cholesterol response to initiation of statins and future risk of cardiovascular disease.Heart (British Cardiac Society) · 2019Article
- Value of a Hypothetical Pharmacogenomic Test for the Diagnosis of Statin-Induced Myopathy in Patients at High Cardiovascular Risk.Molecular diagnosis & therapy · 2018Article
- Observational
- Economic Evaluation of a Pharmacogenomics Test for Statin-Induced Myopathy in Cardiovascular High-Risk Patients Initiating a Statin.Molecular diagnosis & therapy · 2017Article
- Lipids, blood pressure and kidney update 2015.Lipids in health and disease · 2015Review
- Association between single nucleotide polymorphism SLCO1B1 gene and simvastatin pleiotropic effects measured through flow-mediated dilation endothelial function parameters.Therapeutic advances in cardiovascular diseaseArticle
- Frequency distribution of polymorphisms of CYP2C19, CYP2C9, VKORC1 and SLCO1B1 genes in the Yakut population.Research in pharmaceutical sciencesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
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.
Indexed as
Identifiers
23911231PMC4039562What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.