Family: Running in the FAMILY - Understanding and predicting the intergenerational transmission of mental illness

家庭：家庭中的奔跑——理解和预测精神疾病的代际传播

• 批准号: 10047591
• 金额: $ 85.62万
• 依托单位: UNIVERSITY COLLEGE LONDON
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10047591
• 关键词: Family; Running; FAMILY; Understanding; predicting

Mental illness runs in families. The FAMILY consortium aims to improve the life of mentally-ill persons with novel prediction models that are based on better understanding the mechanisms of intergenerational transmission of mental illness. The objectives are to improve causal understanding and gain prediction power from the family context by the innovative combination of statistical modelling of genetically informed designs, causal inference, multimodal and multilevel normative prediction, and molecular mapping, brought by world-leading neuroscientific expertise of the consortium, and address key bioethical and social issues raised by the concept of intergenerational risk transmission and risk prediction. FAMILY will bring together the largest existing human (epi)genetic and neuroimaging datasets from both within-family population cohorts and familial high-risk offspring studies, as well as utilise innovative animal models to shed light on pathways underlying intergenerational risk transmission. FAMILY will focus specifically on risk for mood and psychosis symptoms and diagnoses. In-depth causal analyses of how and when risk for mental illness occurs will help identify early risk and resilience factors and predict who is likely to be diagnosed or develop symptoms of mental illness. Advanced insights can uncover new targets for the development of preventive strategies to break the intergenerational cycle of mental illness and to support strengths and resource building. An immediate benefit will be to open direct translational perspectives to mental health care professionals by providing new (family-based) risk prediction tools for the early identification of adults and children at risk and to deliver ethical guidelines to guide its implementation. This will accelerate preventive and treatment intervention in vulnerable families and help target resilience strategies to prevent the transition from health to disease despite high familial risk.

精神病是家族遗传。FAMILY联盟旨在通过基于更好地理解精神疾病代际传播机制的新预测模型来改善精神病患者的生活。其目标是通过创新组合遗传知情设计的统计建模、因果推理、多模式和多层次规范预测以及分子图谱，提高对因果关系的理解，并从家庭背景中获得预测能力，这些都是由该联盟世界领先的神经科学专业知识带来的，并解决代际风险传递和风险预测概念所提出的关键生物伦理和社会问题。FAMILY将汇集来自家庭内人群队列和家族高风险后代研究的最大的现有人类（epi）遗传和神经成像数据集，并利用创新的动物模型来阐明代际风险传递的潜在途径。家庭将特别关注情绪和精神病症状和诊断的风险。对精神疾病风险如何以及何时发生的深入因果分析将有助于识别早期风险和弹性因素，并预测谁可能被诊断出精神疾病或出现精神疾病症状。先进的见解可以发现新的目标，制定预防战略，打破精神疾病的代际循环，并支持优势和资源建设。一个直接的好处将是通过提供新的（以家庭为基础的）风险预测工具，早期识别成人和儿童的风险，并提供道德准则，以指导其实施，打开直接翻译的观点精神卫生保健专业人员。这将加快对脆弱家庭的预防和治疗干预，并有助于制定有针对性的复原战略，以防止在家庭风险高的情况下从健康过渡到疾病。