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medRxivGenetic & Genomic MedicinePreprint

Genomic Variation Predicts Real-Time Δ⁹-tetrahydrocannabinol Response in Humans

Uri BrightiD, Suhas GaneshiD, Daniel F. LeveyiD, Priya GuptaiD, Mohini RanganathaniD, Robin M. MurrayiD, Marta Di FortiiD, PAUL MORRISON, Deepak Cyril D’SouzaiD, Joel E. GelernteriD

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Abstract

BackgroundCannabis is one of the most widely used psychoactive substances worldwide. {Delta}9-tetrahydrocannabinol ({Delta}9-THC) is the main contributor to cannabis-induced effects such as euphoria, anxiety, and psychotomimetic effects, and is metabolized by several hepatic enzymes, including CYP3A4. There are interindividual differences in how cannabis affects users, which have substantial genetic contributors. MethodsWe examined how real-time effects of {Delta}9-THC on psychotomimetic measures and on subjective effects of "high", sadness and anxiety in 188 healthy volunteers in a laboratory infusion paradigm, relate to polygenic risk scores (PRS) for cannabis lifetime use (CanLU), cannabis use disorder (CanUD), and CYP3A4 expression. ResultsCYP3A4 expression PRS was significantly associated with {Delta}9-THC-induced psychotomimetic effects. Genetic liability to use and misuse cannabis is potentially associated with lower {Delta}9-THC-induced psychotomimetic symptoms. CanLU PRS nominally predicted enhanced {Delta}9-THC-induced "high", while CanUD PRS predicted it to be lower. ConclusionsOur findings suggest that genetic liability to produce more CYP3A4 enzyme may be associated with faster {Delta}9-THC degradation and the consequential diminution of the latters effects. Nominal effects suggest that aversive outcomes may reduce cannabis use and use disorder genetic liability, and that CanUD subjects may need higher {Delta}9-THC doses to experience euphoria ("high"). In total, this study provides novel insights regarding some of the specific genetic factors that influence interindividual variability in {Delta}9-THC effects, mainly via {Delta}9-THC metabolism.

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