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Published on: November 10, 2017
Study of effect modifiers of genetically predicted CETP reduction.
Marc-André Legault1,2,3, Amina Barhdadi1,2, Isabel Gamache1,3
1Montreal Heart Institute, Montreal, Quebec, Canada.
Genetic variants impacting cholesteryl ester transfer protein (CETP) levels show modified effects on lipid biomarkers by sex and body mass index (BMI). These modifications did not extend to cardiovascular outcomes in the study.
Area of Science:
- Pharmacogenomics
- Cardiovascular Medicine
- Metabolic Research
Background:
- Genetic variants in drug targets predict drug effects.
- Cholesteryl ester transfer protein (CETP) is a key target for lipid-lowering drugs.
- Sex and body mass index (BMI) are known factors influencing cardiovascular health.
Purpose of the Study:
- To investigate if sex and BMI modify the effect of genetically predicted lower CETP on lipid biomarkers and cardiovascular outcomes.
- To assess the clinical implications of CETP inhibition considering these potential modifiers.
- To support precision medicine by understanding genetic effect modification.
Main Methods:
- Utilized UK Biobank and Montreal Heart Institute Biobank data.
- Employed Mendelian randomization to assess genetically predicted lower CETP levels.
- Analyzed associations between genetically predicted CETP, lipid biomarkers (HDL-C, LDL-C), cholesterol efflux capacity, and cardiovascular outcomes.
- Investigated effect modification by sex and BMI.
Main Results:
- Sex and BMI significantly modified the association between genetically predicted lower CETP and lipid biomarkers in UK Biobank.
- Female sex and lower BMI were linked to improved lipid profiles (higher HDL-C, lower LDL-C) for a given genetically predicted CETP reduction.
- Sex also modulated CETP's effect on cholesterol efflux capacity in the Montreal Heart Institute Biobank cohort.
- These modifying effects on biomarkers did not translate to observed sex differences in cardiovascular outcomes.
Conclusions:
- Genetically predicted lower CETP levels have differential effects on lipid biomarkers influenced by sex and BMI.
- These findings offer insights into the clinical efficacy of CETP inhibitors, particularly in diverse populations.
- The study highlights the potential of using genetic data to predict drug response and supports precision medicine strategies.
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