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Trans-ancestry epigenome-wide association meta-analysis of DNA methylation with lifetime cannabis use.
Fang, Fang; Quach, Bryan; Lawrence, Kaitlyn G; van Dongen, Jenny; Marks, Jesse A; Lundgren, Sara; Lin, Mingkuan; Odintsova, Veronika V; Costeira, Ricardo; Xu, Zongli; Zhou, Linran; Mandal, Meisha; Xia, Yujing; Vink, Jacqueline M; Bierut, Laura J; Ollikainen, Miina; Taylor, Jack A; Bell, Jordana T; Kaprio, Jaakko; Boomsma, Dorret I; Xu, Ke; Sandler, Dale P; Hancock, Dana B; Johnson, Eric O.
Afiliação
  • Fang F; GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC, USA. ffang@rti.org.
  • Quach B; GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC, USA.
  • Lawrence KG; Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA.
  • van Dongen J; Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Marks JA; Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
  • Lundgren S; GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC, USA.
  • Lin M; Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
  • Odintsova VV; Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA.
  • Costeira R; Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Xu Z; Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
  • Zhou L; Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Mandal M; Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
  • Xia Y; Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA.
  • Vink JM; GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC, USA.
  • Bierut LJ; GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC, USA.
  • Ollikainen M; Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
  • Taylor JA; Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands.
  • Bell JT; Department of Psychiatry, Washington University in Saint Louis School of Medicine, St. Louis, MO, USA.
  • Kaprio J; Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
  • Boomsma DI; Minerva Foundation Institute for Medical Research, Helsinki, Finland.
  • Xu K; Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA.
  • Sandler DP; Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
  • Hancock DB; Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
  • Johnson EO; Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Mol Psychiatry ; 2023 Nov 07.
Article em En | MEDLINE | ID: mdl-37935791
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 [Formula: see text]: 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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Revista: Mol Psychiatry Assunto da revista: BIOLOGIA MOLECULAR / PSIQUIATRIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Revista: Mol Psychiatry Assunto da revista: BIOLOGIA MOLECULAR / PSIQUIATRIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos