Cannabis use disorder severity and sleep quality among undergraduates attending a Historically Black University

Keen, Larry; Turner, Arlener D.; George, Lauren; Lawrence, Kimberly

doi:10.1016/j.addbeh.2022.107414

Cited by 4 publications

(1 citation statement)

References 65 publications

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“…The number of people who use cannabis regularly is expected to increase as cannabis is decriminalized in many jurisdictions [2][3][4] . While people report using cannabis for medicinal purposes 5 , there is increasing evidence that cannabis use has short-and long-term adverse consequences across psychiatric, cognitive, and physical health [6][7][8][9][10][11][12][13][14] . Up to 27% of those who use cannabis in their lifetime are estimated to develop cannabis use disorder (CUD) 15 , in which cannabis use becomes problematic to an individual's intraand interpersonal wellbeing 16 .…”

Section: Introductionmentioning

confidence: 99%

Genome-wide association studies of lifetime and frequency cannabis use in 131,895 individuals

Thorpe,

Fontanillas,

Meredith

et al. 2024

Preprint

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SummaryCannabis is one of the most widely used drugs globally. Decriminalization of cannabis is further increasing cannabis consumption. We performed genome-wide association studies (GWASs) of lifetime (N=131,895) and frequency (N=73,374) of cannabis use. Lifetime cannabis use GWAS identified two loci, one nearCADM2(rs11922956,p=2.40E-11) and another nearGRM3(rs12673181,p=6.90E-09). Frequency of use GWAS identified one locus nearCADM2(rs4856591,p=8.10E-09;r2=0.76 with rs11922956). Both traits were heritable and genetically correlated with previous GWASs of lifetime use and cannabis use disorder (CUD), as well as other substance use and cognitive traits. Polygenic scores (PGSs) for lifetime and frequency of cannabis use associated cannabis use phenotypes inAllofUsparticipants. Phenome-wide association study of lifetime cannabis use PGS in a hospital cohort replicated associations with substance use and mood disorders, and uncovered associations with celiac and infectious diseases. This work demonstrates the value of GWASs of CUD transition risk factors.

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