Meta-analysis identifies shared genetic loci between cannabis use and sleep disorders
This is a meta-analysis using data from the All of Us and UK Biobank cohorts, comprising 152,807 cases and 220,272 controls, to investigate the genetic architecture linking cannabis use with sleep and circadian traits. The authors synthesized evidence to identify shared genetic loci and correlations.
The analysis identified 39 independent loci associated with both cannabis use and sleep/circadian rhythms. The authors reported significant positive genetic correlations between cannabis use and clinical insomnia, insomnia-related medication usage, and objectively measured nighttime physical activity. They also reported significant negative genetic correlations with morningness chronotype and daytime activity. Colocalization analysis showed near-perfect colocalization at the SLC39A8 and CADM2 loci between cannabis use and clinical insomnia.
The authors did not report effect sizes, p-values, or confidence intervals for these findings. The study is observational and cannot infer causality. Limitations were not explicitly reported in the provided data.
The practice relevance noted is investigating the genetic effects of cannabis use as its use becomes more widespread, both recreationally and medicinally. The findings suggest shared genetic pathways but require further validation.