Genetic risk and brain structure both predict teen cannabis use, but operate independently

Parallel Contributions of Externalizing Polygenic Liability and Brain Imaging Phenotypes to Adolescent Substance Use Initiation Timing: A Multistage Analysis in the ABCD Study.

bioRxiv : the preprint server for biology • • Moderately Relevant
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AI Summary

This groundbreaking study examined how genetic risk factors and brain structure work together to influence when adolescents start using alcohol, nicotine, cannabis, and other substances. Using data from over 10,000 teenagers in the ABCD Study, researchers found that individuals with higher genetic predisposition to impulsivity and poor impulse control had significantly earlier initiation of all substances—with particularly strong effects for cannabis (67% increased risk) and nicotine (63% increased risk). Baseline brain imaging revealed thousands of structural and functional brain differences associated with this genetic risk, suggesting that genetic liability and brain architecture are deeply interconnected.

Beyond genetics alone, researchers discovered that specific brain imaging features independently predicted substance initiation timing, especially for cannabis. White matter integrity in sensorimotor brain regions acted protectively, while irregular activity patterns in the right hemisphere increased risk. Interestingly, nicotine and cannabis showed overlapping brain predictors, while alcohol relied on a distinct left-sided brain pathway. These findings demonstrate that substance initiation vulnerability involves multiple, independent neurobiological pathways rather than a single genetic-to-brain-to-behavior chain.

Despite the robust genetic and neuroimaging associations, a surprising conclusion emerged: the baseline brain features explained less than 2% of the genetic risk effect. This indicates that genetic liability operates through additional pathways not captured by standard brain imaging, suggesting future research should explore dynamic brain changes over time or other genetic risk factors beyond what was measured. For adolescents and their families, these findings underscore that substance use initiation risk is multifaceted and involves both inherited genetic vulnerability and structural brain differences, pointing toward potentially personalized prevention strategies based on individual genetic and neurobiological profiles.

📄 Original Abstract

Adolescent substance use initiation is shaped by multiple genetic and neurobiological factors. Externalizing liability, a transdiagnostic genetic dimension capturing shared predisposition to impulsivity, disinhibition, and related traits, is among the strongest polygenic predictors of early substance initiation. Yet how this genetic risk relates to brain structure and function, and whether baseline brain phenotypes statistically account for or instead act in parallel with genetic liability, remains unresolved. Using the ABCD Study, we analyzed an analytic cohort of 10,608 participants with genotype data, baseline multimodal neuroimaging-derived phenotypes (IDPs), and longitudinal substance initiation assessments. Outcome-specific models included up to 10,599 participants after complete-case filtering for survival variables and covariates. We implemented a multistage framework linking an externalizing polygenic risk score (extPRS) to baseline IDPs and longitudinal substance initiation outcomes, including alcohol, nicotine, cannabis, and any substance. Stage 1 screened extPRS-IDP associations using covariate-adjusted linear models with false discovery rate (FDR) control. Stage 2 estimated extPRS effects on time-to-initiation using Cox proportional hazards models. Stage 3 fit joint extPRS + IDP Cox models to identify IDPs that predicted initiation beyond extPRS. Stage 4 conducted bootstrap-based mediation analyses to quantify average causal mediation effects (ACME), average direct effects (ADE), and the proportion of the extPRS-initiation association statistically accounted for by individual IDPs. Higher extPRS was robustly associated with earlier initiation across all substances: alcohol, hazard ratio (HR) = 1.13; nicotine, HR = 1.63; cannabis, HR = 1.67; and any substance, HR = 1.15. Thousands of extPRS-associated IDPs were identified at baseline, with highly concordant effect profiles across robustness specifications. In joint models, numerous IDPs independently predicted initiation timing above and beyond extPRS: 31 for alcohol, 32 for any substance, 137 for cannabis, and 459 for nicotine, with a replicated core set across specifications. Cannabis and nicotine initiation were jointly predicted by superficial white matter (SWM) microstructural integrity in sensorimotor cortex as a protective factor, and by irregular activity in a right-hemisphere region as a risk factor. Alcohol initiation was predicted by a largely distinct, strongly left-lateralized frontolimbic SWM intensity axis. Nicotine initiation additionally and uniquely involved restricted gray matter diffusion in the anterior cingulate cortex and subcallosal cortex. Despite these robust independent IDP associations, mediation analyses showed that indirect effects through individual baseline IDPs were very small in magnitude, approximately 10^-4 for ACME, accounting for less than 2% of the total extPRS effect, with FDR-significant mediation surviving only for alcohol and any-substance initiation. Within the scope of externalizing polygenic risk and baseline neuroimaging, the predominant pattern is one of largely parallel, additive contributions to adolescent substance initiation rather than a dominant genetic -> brain -> behavior pathway. Baseline brain features, particularly prefrontal functional variability and frontolimbic and sensorimotor white matter integrity, predict initiation risk beyond extPRS, indicating neurobiological vulnerabilities not captured by this genetic dimension. However, these baseline IDPs explain only a small fraction of the extPRS-initiation association, suggesting that externalizing genetic liability may operate through pathways not fully represented by cross-sectional baseline imaging. Whether other genetic risk dimensions, such as substance-specific PRS, or dynamic longitudinal brain measures show stronger mediation patterns remains an important open question.

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