Genetic liability for Prescription Opioid Use and Risk of Cardiovascular Diseases: A Multivariable Mendelian Randomization Study.

BACKGROUND AND AIMS Observational studies have yielded conflicting results on the association of prescription opioid use (POU) with the risk of cardiovascular diseases (CVD). Residual confounding and potential reverse causality are inevitable in such conventional observational studies. This study used Mendelian randomization (MR) design to estimate the causal effect of POU on the risk of CVD, including coronary heart disease (CHD), myocardial infarction (MI) and ischemic stroke (IS), as well as their common risk factors. DESIGN We estimated the causal effect of genetic liability for POU on CVD in a two-sample MR framework. Complementary sensitivity analyses were conducted to test the robustness of our results. SETTING Genome-wide association studies (GWAS) that were based on predominantly European ancestry. PARTICIPANTS The sample sizes of the GWAS used in this study ranged from 69,033 to 757,601 participants. MEASUREMENTS Genetic variants predictive of the POU and their corresponding summary-level information in the outcomes were retrieved and extracted from the respective GWAS. FINDINGS Using univariable MR, we found evidence for a causal effect of genetic liability for POU on an increased risk of CHD (odds ratio [OR] 1.09; 95% confidence interval [CI] 1.02-1.16; p = 0.008), and MI (OR 1.13; 95% CI, 1.04-1.22; p = 0.002). In multivariable MR, the association remained after accounting for comorbid pain conditions, but was attenuated with adjustment for potential mediators, including body mass index (BMI), waist circumstance (WC), and type 2 diabetes (T2D). CONCLUSION Mendelian randomization estimates provide robust evidence for the causal effects of genetic liability for prescription opioid use on an increased risk of coronary heart disease and myocardial infarction, which might be mediated by obesity-related traits.