STUDY OBJECTIVES Estimate the genetic relationship of cannabis use with sleep deficits and eveningness chronotype. METHODS We used linkage disequilibrium score regression (LDSC) to analyze genetic correlations between sleep deficits and cannabis use behaviors. Secondly, we generated sleep deficit polygenic risk scores (PRS) and estimated their ability to predict cannabis use behaviors using linear and logistic regression. Summary statistics came from existing genome wide association studies (GWAS) of European ancestry that were focused on sleep duration, insomnia, chronotype, lifetime cannabis use, and cannabis use disorder (CUD). A target sample for PRS prediction consisted of high-risk participants and participants from twin/family community-based studies (European ancestry; n = 760, male = 64%; mean age = 26.78 years). Target data consisted of self-reported sleep (sleep duration, feeling tired, and taking naps) and cannabis use behaviors (lifetime ever use, number of lifetime uses, past 180-day use, age of first use, and lifetime CUD symptoms). RESULTS Significant genetic correlation between lifetime cannabis use and eveningness chronotype (rG = 0.24, p < 0.001), as well as between CUD and both short sleep duration (<7 h) (rG = 0.23, p = 0.017) and insomnia (rG = 0.20, p = 0.020). Insomnia PRS predicted earlier age of first cannabis use (OR = 0.92, p = 0.036) and increased lifetime CUD symptom count (OR = 1.09, p = 0.012). CONCLUSION Cannabis use is genetically associated with both sleep deficits and an eveningness chronotype, suggesting that there are genes that predispose individuals to both cannabis use and sleep deficits.

中文翻译：

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睡眠不足和大麻使用行为：使用连锁不平衡评分回归和多基因风险预测分析共享遗传学

研究目标 估计大麻使用与睡眠不足和夜间表型的遗传关系。方法 我们使用连锁不平衡评分回归 (LDSC) 来分析睡眠不足和大麻使用行为之间的遗传相关性。其次，我们生成了睡眠不足多基因风险评分（PRS），并使用线性和逻辑回归估计了它们预测大麻使用行为的能力。摘要统计数据来自欧洲血统的现有全基因组关联研究 (GWAS)，重点关注睡眠持续时间、失眠、时间型、终生大麻使用和大麻使用障碍 (CUD)。PRS 预测的目标样本包括高风险参与者和来自双胞胎/家庭社区研究的参与者（欧洲血统；n = 760，男性 = 64%；平均年龄 = 26.78 岁）。目标数据包括自我报告的睡眠（睡眠时间、感觉疲倦和小睡）和大麻使用行为（终生使用、终生使用次数、过去 180 天使用、首次使用年龄和终生 CUD 症状）。结果 终生大麻使用与夜间睡眠表型（rG = 0.24，p < 0.001）以及 CUD 与短睡眠时间（<7 小时）（rG = 0.23，p = 0.017）和失眠（rG = 0.20，p = 0.020）。失眠 PRS 预测首次使用大麻的年龄较早（OR = 0.92，p = 0.036）和终生 CUD 症状计数增加（OR = 1.09，p = 0.012）。结论 大麻的使用在基因上与睡眠不足和晚上的表型相关，这表明存在一些基因使个人易患大麻使用和睡眠不足。