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Genetic variants modulate gene expression statin response in human lymphoblastoid cell lines
Elizabeth Theusch1, Yii-Der I Chen2, Jerome I Rotter3
1Department of Pediatrics, University of California San Francisco, Oakland, CA, USA.
BMC Genomics
|August 14, 2020
Summary
Genetic variants influence how individuals respond to statins, impacting gene expression. This study identified specific gene expression changes linked to statin treatment, suggesting DNA variation affects statin efficacy and side effects.
Area of Science:
- Pharmacogenomics
- Molecular Biology
- Genetics
Background:
- Statins are widely used to lower cholesterol but have variable efficacy and potential side effects.
- Mechanisms behind statins' non-cholesterol-lowering (pleiotropic) effects are not fully understood.
- Identifying genetic modulators of statin response is crucial for personalized medicine.
Purpose of the Study:
- To identify genetic variants associated with statin-induced gene expression changes (deQTLs).
- To explore the role of genetic variation in individual responses to simvastatin treatment.
- To understand the genetic basis of statin efficacy and potential adverse effects.
Main Methods:
- Used lymphoblastoid cell lines (LCLs) from the Cholesterol and Pharmacogenetics (CAP) simvastatin trial.
- Exposed LCLs to simvastatin and performed RNA sequencing to measure gene expression changes.
- Performed differential eQTL (deQTL) and eQTL analyses, associating genetic variants with gene expression in European and African American ancestry populations.
Main Results:
- Identified cis-deQTLs for 15 genes, including those involved in viral defense and glucose regulation.
- Found significant deQTLs in at least one ancestry subset for eight of these genes.
- Identified approximately 6000 eQTLs across endogenous, statin-treated, and average gene expression levels.
Conclusions:
- DNA variations may influence statin effects on diverse health outcomes.
- Genes with identified deQTLs are implicated in viral defense, glucose regulation, and chemotherapy response.
- Findings support using individual genetic profiles to assess statin treatment benefits and risks.
Keywords:
Expression quantitative trait locus (eQTL)Gene-environment interactionLymphoblastoid cell lineRNA-sequencingStatinMore Related Videos
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