Wade Natasha E, Ahern Jonathan, Szpak Veronica, Wallace Alexander L, Sullivan Ryan M, Fan Chun C, Loughnan Robert
medRxiv. 2025 Apr 10:2025.04.07.25325258. doi: 10.1101/2025.04.07.25325258.
Studying genetic contributions to substance initiation is crucial for identifying at-risk individuals and developing targeted prevention strategies. Investigating these factors during adolescence is vital, as this period is critical for brain development and represents an age of experimentation and initiation of substance use. Here we generate polygenic scores (PGSs), using data from the PGS catalog, across a range of substance use related traits to assess PGS in predicting i) measures of impulsivity taken from the UPPS-P questionnaire and ii) self-reported use of nicotine/tobacco, cannabis, alcohol and caffeine in early-mid adolescence. Repeat cross-sectional analyses across age bands (ages 9-10, 11-13, and 13-15) were conducted using the longitudinal Adolescent Brain Cognitive Development (ABCD) Study (total N=8,753; 55% female). Due to the large contribution of European-like (EUR-like) individuals in discovery samples, we performed ancestry stratified analysis in EUR-like (n=5,225), African (AFR-like; n=637) and ad-mixed (MIX-like; n=2,891) groups reflecting genetic similarity to continental ancestry groups. In the EUR-like group, PGS related to nicotine/tobacco were associated with greater impulsivity across all subscales of the UPPS-P at all ages. Analyses across ages 9-15 years old revealed PGS-impulsivity associations that: a) grew as the sample aged (e.g. Smoking Status PGS with Lack of Perseverance: 9-10 years-old: β=0.065, 11-13 years-old: β=0.11, 13-15 years-old: β=0.12) and b) others that diminished as the sample aged (e.g. Alcohol Consumption PGS with Sensation Seeking: 9-10 years-old: β=0.070, 11-13 years-old: β=0.062, 13-15 years-old: β=0.03). Evaluating the performance of PGS against self-reported substance use, PGS of nicotine/tobacco traits were associated with regular consumption of caffeine across ages. At ages 13-15, PGS of smoking traits were associated with cannabis and tobacco exposure (e.g., Smoking Initiation PGS and self-reported cannabis use, ΔR =0.0094), in addition to weekly caffeine consumption. Across ages, nicotine/tobacco and alcohol PGS and regular energy drink consumption associations grew over time (e.g., Smoking Status PGS: 9-10 years-old: β=0.088, 11-13 years-old: β=0.24, 13-15 years-old: β=0.29). As with impulsivity, some PGS associations decreased over time (Alcohol Consumption PGS and self-reported alcohol use: 9-10 years-old: β=0.12, 11-13 years-old: β=0.11, 13-15 years-old: β=0.083). Replication of our EUR-like results in AFR-like and MIX-like sub-samples revealed a significant attenuation of effects, underscoring the importance of collecting genetic studies in larger ancestrally diverse cohorts. Our results highlight the dynamic relationship between genetic risk factors of substance use, trait impulsivity, and self-reported substance initiation throughout adolescence. Further, evidence here indicates caffeine consumption represents an early risk factor for problematic substance use in later life. Results support PGSs, in conjunction with larger phenotypic profiles, for identification of prevention efforts.
研究基因对物质使用起始的影响对于识别高危个体和制定针对性的预防策略至关重要。在青少年时期研究这些因素至关重要,因为这一时期对大脑发育至关重要,并且是物质使用的尝试和起始年龄阶段。在此,我们利用多基因分数(PGS)目录中的数据,针对一系列与物质使用相关的性状生成多基因分数,以评估PGS在预测以下方面的作用:i)从UPPS-P问卷中获取的冲动性测量指标,以及ii)青少年早期至中期自我报告的尼古丁/烟草、大麻、酒精和咖啡因的使用情况。我们使用纵向青少年大脑认知发展(ABCD)研究(总样本量N = 8753;55%为女性)对不同年龄组(9 - 10岁、11 - 13岁和13 - 15岁)进行了重复横断面分析。由于发现样本中欧洲血统样(EUR样)个体的贡献较大,我们在与大陆血统组基因相似的EUR样(n = 5225)、非洲血统样(AFR样;n = 637)和混合血统样(MIX样;n = 2891)组中进行了祖先分层分析。在EUR样组中,与尼古丁/烟草相关的PGS在所有年龄段的UPPS-P所有子量表上均与更高的冲动性相关。对9 - 15岁年龄组的分析显示,PGS与冲动性的关联呈现出以下情况:a)随着样本年龄增长而增强(例如,吸烟状态PGS与缺乏毅力:9 - 10岁:β = 0.065,11 - 13岁:β = 0.11,13 - 15岁:β = !2),以及b)其他一些随着样本年龄增长而减弱(例如,酒精消费PGS与寻求刺激:9 - 10岁:β = 0.070,11 - 13岁:β = 0.062,13 - !5岁:β = 0.03)。评估PGS相对于自我报告的物质使用情况的表现,尼古丁/烟草性状的PGS在各年龄段均与咖啡因的经常消费相关。在13 - 15岁时,吸烟性状的PGS除了与每周咖啡因消费相关外,还与大麻和烟草暴露相关(例如,吸烟起始PGS与自我报告的大麻使用,ΔR = 0.0094)。在各年龄段,尼古丁/烟草和酒精PGS与经常饮用能量饮料的关联随时间增加(例如,吸烟状态PGS:9 - 10岁:β = 0.088,11 - 13岁:β = 0.24,13 - 15岁:β = 0.29)。与冲动性情况类似,一些PGS关联随时间减弱(酒精消费PGS与自我报告的酒精使用:9 - 10岁:β = 0.12,11 - 13岁:β = 0.11,13 - 15岁:β = 0.083)。在AFR样和MIX样子样本中对我们的EUR样结果进行重复验证发现效应显著减弱,这突出了在更大的具有不同祖先背景的队列中收集基因研究的重要性。我们的结果强调了在整个青少年时期物质使用的基因风险因素、特质冲动性和自我报告的物质使用起始之间的动态关系。此外,此处的证据表明咖啡因消费是后期生活中出现问题性物质使用的早期风险因素。结果支持使用PGS并结合更大的表型特征来确定预防措施。