Original title: The Youth-GEMs project: genetic and environmental interactions underlying trajectories of youth mental health
Bart P. F. Rutten, Sinan Guloksuz, Bochao Lin, Covadonga M. Díaz-Caneja +6 · September 2026
Most mental health conditions appear before age 24, but scientists do not fully understand what causes them to develop. To solve this, researchers launched the Youth-GEMs project. They study how our genes, our biology, and our everyday environments interact over time to shape risk or resilience. The team combines brain mapping, broad genetic analyses, and studies of environmental exposures. Next, they feed this mixed information into artificial intelligence systems to spot patterns. To do this work, they bring together past population studies and recruit a group of young people seeking clinical help. Overall, the project creates scores that estimate risk, models that explain predictions, and clear biological markers. These tools aim to help doctors spot emerging mental illnesses early, monitor symptoms, and deliver personalized care to youth.
Imagine trying to predict whether a plant will thrive. You look at its seed (genes), the soil and weather (environment), and how it grows over time (development). But the seed's potential changes depending on when it rains and what nutrients are in the soil, and the soil itself changes as the plant grows. In this paper, researchers are doing the same for mental health: they track a young person's genetic makeup, their life experiences, and their brain development together, because each factor shifts the others' effects over time.
If we can predict which young people are at risk for mental health problems, we can intervene early instead of waiting for a crisis. This project aims to create tools that combine a person's genetics, environment, and brain development to spot trouble before it starts, which could change how we prevent and treat mental illness in teenagers and young adults.
The abstract describes the project's design and goals but does not report any results, so it is not yet known whether the proposed tools will actually improve prediction or clinical outcomes. The project relies on existing cohort data, which may have limitations in diversity or completeness, and the new clinical cohort is still being established. The abstract does not specify how the AI models will be validated or tested in real-world settings.
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The Youth-GEMs project: genetic and environmental interactions underlying trajectories of youth mental health — Bart P. F. Rutten, Sinan Guloksuz, Bochao Lin et al. — PsyArXiv — doi:10.31234/osf.io/bsc3y_v7
Abstract licence: CC BY
Explanation generated by Synthesis from the abstract — it is not the original paper. This is a preprint, so it hasn't necessarily been peer reviewed.