Study of effect modifiers of genetically predicted CETP reduction

Genetic variants in drug targets can be used to predict the long-term, on-target effect of drugs. Here, we extend this principle to assess how sex and body mass index may modify the effect of genetically predicted lower CETP levels on biomarkers and cardiovascular outcomes. We found sex and body mass index (BMI) to be modifiers of the association between genetically predicted lower CETP and lipid biomarkers in UK Biobank participants. Female sex and lower BMI were associated with higher high-density lipoprotein cholesterol and lower low-density lipoprotein cholesterol for the same genetically predicted reduction in CETP concentration. We found that sex also modulated the effect of genetically lower CETP on cholesterol efflux capacity in samples from the Montreal Heart Institute Biobank. However, these modifying effects did not extend to sex differences in cardiovascular outcomes in our data. Our results provide insight into the clinical effects of CETP inhibitors in the presence of effect modification based on genetic data. The approach can support precision medicine applications and help assess the external validity of clinical trials.

Automated summary

Genetic variants in drug targets can predict the long-term effect of drugs. In this study, we examined how sex and body mass index (BMI) influence the effect of genetically predicted lower CETP levels on biomarkers and cardiovascular outcomes. Our findings suggest that female sex and lower BMI are associated with beneficial lipid biomarker profiles when CETP concentrations are genetically reduced. However, these modifying effects did not extend to sex differences in cardiovascular outcomes. These results provide valuable insights into the clinical implications of CETP inhibitors and can support precision medicine applications.