Youth-GEMs: Gene Environment interactions in Mental health trajectories of Youth

青年心理健康负担沉重，对欧洲公民和社会产生终身持久的影响。年轻人的心理健康和疾病的轨迹被认为是由遗传，表观遗传和环境风险之间的相互作用决定的。然而，这方面的直接证据很少，科学进步受到挑战。我们最近开始取得重大进展，使我们能够在最紧迫的需求和挑战方面取得必要的突破。为了在未来5-10年内显著减少欧洲青年的精神痛苦和疾病，我们将提供1）世界？首先，发育中的出生后人脑的功能（epi）基因组学的循证知识库，其与精神疾病的跨综合征表型的发育轨迹直接相关，提供改进的风险标志物和可操作的生物靶标，2）可靠的预测模型，同时识别基因-环境相互作用，以及通过使用基于人工智能（AI）和基于推理的分析前所未有的纵向一般人群数据集，3）第一套全面的、经过验证的循证行为、环境、生物和心理信息工具，用于对12-24岁寻求帮助的年轻人进行强大的心理健康定量临床评估，在欧洲临床环境中协调一致，以及4）青年和临床医生授权的人工智能驱动工具，用于早期（自我）检测，预测和监测青年精神疾病的发展轨迹。我们的多学科联盟拥有独特的装备和定位，可以实施必要的突破，以显著减少精神疾病和年轻人的痛苦，并将我们的研究结果转化为临床创新和欧洲及其他地区的终身影响。

Youth mental health is heavily burdened, with life-long enduring impact on European citizens and societies. Trajectories of mental health and illness in young people are assumed to be determined by interplay between genetic, epigenetic, and environmental risk impacting during development. However, direct evidence for this is sparse and scientific progress is challenged. We recently initiated substantial advances enabling us to create necessary breakthroughs at the most pressing needs and challenges. Aiming to significantly reduce mentalsuffering and illness among European youth within the next 5-10 years, we will provide 1) the world?sfirst, evidence-based knowledge base of functional (epi)genomics of the developing post-natal human brain in direct relation to developmental trajectories of trans-syndromal phenotypes of mental illness, providing improved risk markers and actionable biological targets, 2) reliable predictive models, while identifying gene-environment interplay, as well as actionable markers of trajectories of mental (ill)health in young people through the use of Artificial Intelligence (AI)-based and inference-based analyses of unprecedented sets of longitudinal general population datasets, 3) the first comprehensive, validated set of evidence-based behavioural, environmental, biological, and psychological-informed instruments for the robust quantitative clinical assessment of mental health for help-seeking young people aged 12-24 years, harmonised across European clinical settings, and 4) youth- and clinician-empowering AI-driven instruments for early (self)detection, prediction and monitoring of mental ill-health trajectories in youth. Our multidisciplinary consortium is uniquely equipped and positioned to enforce the necessary breakthroughs for significant reduction of mental illness and suffering of young people, and to translate our findings into clinical innovation and life-long impact in Europe and beyond.