Running in the FAMILY: understanding and predicting the intergenerational transmission of mental illness.

Details

Serval ID
serval:BIB_60FE2024369F
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Running in the FAMILY: understanding and predicting the intergenerational transmission of mental illness.
Journal
European child & adolescent psychiatry
Author(s)
van Houtum LAEM, Baaré WFC, Beckmann C.F., Castro-Fornieles J., Cecil CAM, Dittrich J., Ebdrup B.H., Fegert J.M., Havdahl A., Hillegers MHJ, Kalisch R., Kushner S.A., Mansuy I.M., Mežinska S., Moreno C., Muetzel R.L., Neumann A., Nordentoft M., Pingault J.B., Preisig M., Raballo A., Saunders J., Sprooten E., Sugranyes G., Tiemeier H., van Woerden G.M., Vandeleur C.L., van Haren NEM
ISSN
1435-165X (Electronic)
ISSN-L
1018-8827
Publication state
In Press
Peer-reviewed
Oui
Language
english
Notes
Publication types: Journal Article
Publication Status: aheadofprint
Abstract
Over 50% of children with a parent with severe mental illness will develop mental illness by early adulthood. However, intergenerational transmission of risk for mental illness in one's children is insufficiently considered in clinical practice, nor is it sufficiently utilised into diagnostics and care for children of ill parents. This leads to delays in diagnosing young offspring and missed opportunities for protective actions and resilience strengthening. Prior twin, family, and adoption studies suggest that the aetiology of mental illness is governed by a complex interplay of genetic and environmental factors, potentially mediated by changes in epigenetic programming and brain development. However, how these factors ultimately materialise into mental disorders remains unclear. Here, we present the FAMILY consortium, an interdisciplinary, multimodal (e.g., (epi)genetics, neuroimaging, environment, behaviour), multilevel (e.g., individual-level, family-level), and multisite study funded by a European Union Horizon-Staying-Healthy-2021 grant. FAMILY focuses on understanding and prediction of intergenerational transmission of mental illness, using genetically informed causal inference, multimodal normative prediction, and animal modelling. Moreover, FAMILY applies methods from social sciences to map social and ethical consequences of risk prediction to prepare clinical practice for future implementation. FAMILY aims to deliver: (i) new discoveries clarifying the aetiology of mental illness and the process of resilience, thereby providing new targets for prevention and intervention studies; (ii) a risk prediction model within a normative modelling framework to predict who is at risk for developing mental illness; and (iii) insight into social and ethical issues related to risk prediction to inform clinical guidelines.
Keywords
Family, Intergenerational transmission, Mental illness, Offspring, Resilience, Risk prediction
Pubmed
Web of science
Open Access
Yes
Create date
19/04/2024 8:38
Last modification date
14/05/2024 7:46
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