Deng Wei Q, Belisario Kyla, Doggett Amanda, Pigeyre Marie, Pare Guillaume, Munafò Marcus R, MacKillop James
Peter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, Hamilton, Canada.
Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Canada.
Addiction. 2025 Aug 6. doi: 10.1111/add.70163.
Recent large studies have established the genetic basis of several conceptually linked phenotypes of externalizing. Polygenic risk scores (PRSs) for these constructs are associated with a range of substance use and mental disorder phenotypes but have not been examined with both pharmacological and non-pharmacological addictive behaviors, or across a developmental window. This study identified biological pathways responsible for observed associations between PRSs and addiction phenotypes.
DESIGN, SETTING, PARTICIPANTS: We selected genome-wide association studies of 22 phenotypes, including substance use, general factors of externalizing and addiction, impulsivity and psychiatric conditions. Using summary statistics, we constructed PRSs in the offspring from the Avon Longitudinal Study of Parents and Children (ALSPAC) (n = 4995). Participants were genetically confirmed to be unrelated and of European-like genetic similarity.
We examined the associations between PRSs and addiction-related phenotypes including substance use, gambling, eating behaviors and internet use across different life stages, from adolescence to young adulthood. PRSs were partitioned by biological pathways to examine the common and unique mechanisms underlying the genetics of addiction-related phenotypes.
The PRS of externalizing factor (PRS) showed the strongest association across phenotypes for substance use (minP = 2.6 × 10, adjusted R = 0.10-4.72%), gambling (minP = 1.0 × 10, adjusted R = 0.18-1.50%), eating behaviors (minP = 8.2 × 10, adjusted R = 0.11-0.65%) and internet use (minP = 1.4 × 10, adjusted R = 0.17-1.04%). Sensitivity analyses excluding a small subset of ALSPAC participants who also contributed to the externalizing summary statistics, yielded consistent association effect sizes (R = 0.98), suggesting minimal bias. The results also revealed several time-varying associations between several PRSs and addiction phenotypes. Notably, the genetic influence of externalizing factor on alcohol and tobacco use was significantly stronger at younger ages. Finally, we identified multiple biological pathways that contribute to the link between addiction-related phenotypes and PRS, emphasizing the importance of synaptic functions and neuronal plasticity in the context of gambling and substance use.
There appears to be genetic evidence implicating externalizing as a common mechanism of substance and behavioral addictive behaviors. These results support the shared genetic liability across substance misuse, problematic gambling and internet use, and demonstrate the potential utility of externalizing traits as a transdiagnostic dimension across diverse forms of psychopathology. Notably, the predictive power of externalizing genetic liability appears developmentally dynamic, supporting the view that externalizing represents a broad, non-time-invariant risk factor that may give way to more specific disorder-related influences over time.
近期的大型研究已确立了几种在概念上相互关联的外化型表型的遗传基础。这些结构的多基因风险评分(PRSs)与一系列物质使用和精神障碍表型相关,但尚未在药物成瘾和非药物成瘾行为中进行研究,也未在整个发育阶段进行考察。本研究确定了导致PRSs与成瘾表型之间观察到的关联的生物学途径。
设计、地点、参与者:我们选择了22种表型的全基因组关联研究,包括物质使用、外化和成瘾的一般因素、冲动性和精神疾病。利用汇总统计数据,我们在阿冯父母与儿童纵向研究(ALSPAC)(n = 4995)的后代中构建了PRSs。参与者经基因确认无亲缘关系且具有欧洲样的遗传相似性。
我们考察了PRSs与成瘾相关表型之间的关联,包括从青春期到青年期不同生命阶段的物质使用、赌博、饮食行为和互联网使用。PRSs按生物学途径进行划分,以研究成瘾相关表型遗传学背后的共同和独特机制。
外化因子的PRS在物质使用(最小P值 = 2.6×10,调整后R值 = 0.10 - 4.72%)、赌博(最小P值 = 1.0×10,调整后R值 = 0.18 - 1.50%)、饮食行为(最小P值 = 8.2×10,调整后R值 = 0.11 - 0.65%)和互联网使用(最小P值 = 1.4×10,调整后R值 = 0.17 - 1.04%)的表型中显示出最强的关联。排除也为外化汇总统计数据做出贡献的一小部分ALSPAC参与者的敏感性分析,产生了一致的关联效应大小(R值 = 0.98),表明偏差最小。结果还揭示了几种PRSs与成瘾表型之间的几个随时间变化的关联。值得注意的是,外化因子对酒精和烟草使用的遗传影响在较年轻时显著更强。最后,我们确定了多种导致成瘾相关表型与PRS之间联系的生物学途径,强调了突触功能和神经元可塑性在赌博和物质使用背景下的重要性。
似乎有遗传证据表明外化是物质和行为成瘾行为的共同机制。这些结果支持了物质滥用、问题赌博和互联网使用之间共享的遗传易感性,并证明了外化特质作为跨多种精神病理学形式的跨诊断维度的潜在效用。值得注意的是,外化遗传易感性的预测能力似乎具有发育动态性,支持了外化代表一个广泛的、非时间不变的风险因素的观点,随着时间的推移,它可能会让位于更具体的与疾病相关的影响。