Trans-ancestry epigenome-wide association meta-analysis of DNA methylation with lifetime cannabis use

Mol Psychiatry. 2024 Jan;29(1):124-133. doi: 10.1038/s41380-023-02310-w. Epub 2023 Nov 7.

Abstract

Cannabis is widely used worldwide, yet its links to health outcomes are not fully understood. DNA methylation can serve as a mediator to link environmental exposures to health outcomes. We conducted an epigenome-wide association study (EWAS) of peripheral blood-based DNA methylation and lifetime cannabis use (ever vs. never) in a meta-analysis including 9436 participants (7795 European and 1641 African ancestry) from seven cohorts. Accounting for effects of cigarette smoking, our trans-ancestry EWAS meta-analysis revealed four CpG sites significantly associated with lifetime cannabis use at a false discovery rate of 0.05 ( p < 5.85 × 10 - 7 ) : cg22572071 near gene ADGRF1, cg15280358 in ADAM12, cg00813162 in ACTN1, and cg01101459 near LINC01132. Additionally, our EWAS analysis in participants who never smoked cigarettes identified another epigenome-wide significant CpG site, cg14237301 annotated to APOBR. We used a leave-one-out approach to evaluate methylation scores constructed as a weighted sum of the significant CpGs. The best model can explain 3.79% of the variance in lifetime cannabis use. These findings unravel the DNA methylation changes associated with lifetime cannabis use that are independent of cigarette smoking and may serve as a starting point for further research on the mechanisms through which cannabis exposure impacts health outcomes.

Publication types

  • Meta-Analysis
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Black People
  • Cannabis / genetics
  • Cigarette Smoking / genetics
  • CpG Islands* / genetics
  • DNA Methylation* / genetics
  • Epigenesis, Genetic / genetics
  • Epigenome* / genetics
  • Epigenomics / methods
  • Female
  • Genome-Wide Association Study* / methods
  • Humans
  • Male
  • Marijuana Smoking / genetics
  • Marijuana Use / genetics
  • Middle Aged
  • White People* / genetics