Examining the independent roles of cannabis use and tobacco use in depression risk: a multivariable Mendelian randomisation study DOI
Chloe Burke, Tom P. Freeman, Hannah Sallis

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 17, 2024

ABSTRACT Background Cannabis and tobacco use are consistently associated with major depressive disorder (MDD) in conventional observational studies. However, these substances often co-used, the independent causal role of cannabis risk MDD remains unclear. Methods Univariable multivariable MR (MVMR) were used to explore total effects genetic liability on MDD. Our primary estimator was inverse-variance weighted (IVW) method, other methods as sensitivity analyses. For exposures, we genome-wide association study (GWAS) summary statistics among European ancestry individuals for several (i.e., smoking initiation, continuation, heaviness) [CUD]) phenotypes. outcome, a GWAS conducted using individual-level data from UK Biobank. Results indicated effect initiation (odds ratio [OR] IVW = 1.34, 95% confidence interval [CI] 1.27 – 1.42), consistent but weaker evidence continuation (OR 1.13, CI 0.93 1.37) heaviness 1.15, 0.99 1.33). There no clear 1.00, 0.91– 1.11). some CUD 1.14, 1.04 1.25), which attenuated null when adjusting MVMR-IVW 1.03, 0.97 1.08). Conclusions This provides limited an MDD, stronger Analyses by low power, future research should triangulate findings results high-quality

Language: Английский

Examining the independent roles of cannabis use and tobacco use in depression risk: a multivariable Mendelian randomisation study DOI
Chloe Burke, Tom P. Freeman, Hannah Sallis

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 17, 2024

ABSTRACT Background Cannabis and tobacco use are consistently associated with major depressive disorder (MDD) in conventional observational studies. However, these substances often co-used, the independent causal role of cannabis risk MDD remains unclear. Methods Univariable multivariable MR (MVMR) were used to explore total effects genetic liability on MDD. Our primary estimator was inverse-variance weighted (IVW) method, other methods as sensitivity analyses. For exposures, we genome-wide association study (GWAS) summary statistics among European ancestry individuals for several (i.e., smoking initiation, continuation, heaviness) [CUD]) phenotypes. outcome, a GWAS conducted using individual-level data from UK Biobank. Results indicated effect initiation (odds ratio [OR] IVW = 1.34, 95% confidence interval [CI] 1.27 – 1.42), consistent but weaker evidence continuation (OR 1.13, CI 0.93 1.37) heaviness 1.15, 0.99 1.33). There no clear 1.00, 0.91– 1.11). some CUD 1.14, 1.04 1.25), which attenuated null when adjusting MVMR-IVW 1.03, 0.97 1.08). Conclusions This provides limited an MDD, stronger Analyses by low power, future research should triangulate findings results high-quality

Language: Английский

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