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.

Project duration

5 years

Grant amount

10 973 909.75 €

Partners

16 institutions

Kick-off

1 October 2022

FAMILY translates current barriers into 3 themes of enquiry, with the following 6 project objectives:

Theme 1

Understanding intergenerational transmission of risk

  • Estimate the contribution of genetic and environmental routes of intergenerational transmission of risk from parent to offspring throughout the life course.
  • Identify causal factors underlying genetic and environmental routes of risk transmission and resilience.
Theme 2

Predicting risk of mental illness in a familial context

  • Identify and validate genetic, epigenetic, and brain imaging biomarkers for risk or resilience to mental disease in the family.
  • Develop and validate a multimodal risk prediction model and a normative modelling framework to predict, at the individual level, who is at risk of developing a mental disorder.
Theme 3

Creating societal impact and end-user engagement

  • Map and evaluate social and ethical consequences of risk prediction for clinical use.
  • Increase awareness and foster active engagement of families and translate new discoveries to patients and mental health care professionals.

Impact

Scientific

New breakthrough scientific discoveries on the intergenerational transmission of risk of mental illness and risk prediction within a family context, pushing the field forward towards first clinical implementation of family-based prediction tools by 2035.

Clinical

Ethical considerations regarding risk prediction support mental health care professionals and patients and their families in clinical decision making. Awareness on the role of transmission of risk of mental health problems stimulates the integration of child/adolescent and adult mental health care services, leading to improved care for high-risk families.

Societal

Improved mental health literacy in vulnerable high-risk families, resulting in increased engagement with their own mental health and earlier recognition of mental health problems, leading to earlier identification and preventive intervention. Improved quality of life of vulnerable high-risk families because of earlier recognition of emerging problems, earlier and focused preventive interventions, and less stigma and discrimination.

Economic

Earlier identification and preventive intervention of mental health problems prevents exacerbation of these problems, resulting in reduced mental health care cost in the longer term.

  • Folkehelseinstituttet (NIPH)
    Oslo, Norway
  • Latvijas Universitate (University of Latvia, LU)
    Riga, Latvia
  • Erasmus University Medical Center Rotterdam (EMC)
    Rotterdam, Netherlands
  • Region Hovedstaden (REGIONH)
    Denmark
  • Stichting Radboud universitair medisch centrum (RADBOUDUMC)
    Nijmegen, Netherlands
  • Leibniz-Institut für Resilienzforschung (LIR) gGmbH
    Mainz, Germany
  • Università della Svizzera italiana (USI)
    Lugano, Switzerland
  • Universitaet Zuerich (UZH)
    Zurich, Switzerland
  • Universita Degli Studi Di Perugia (UNIPG)
    Perugia, Italy
  • Fundación Para La Investigación Biomédica Del Hospital Gregorio Marañón (FIBHGM)
    Madrid, Spain
  • Fundació Clínic per a la Recerca Biomèdica (FCRB)
    Barcelona, Spain
  • Centre Hospitalier Universitaire Vaudois (CHUV)
    Lausanne, Switzerland
  • European Federations of Associations of Families of People with Mental Ill Health (EUFAMI)
    Brussels, Belgium
  • concentris research management gmbh (concentris)
    Fürstenfeldbruck, Germany
  • European Society For Child And Adolescent Psychiatry (ESCAP)
    Antwerpen, Belgium
  • University College (UCL)
    London, United Kingdom
  • Harvard Global Harvard Global Research And Support Services Inc (Harvard Global)
    Cambridge, MA, United States

partners

Contact

Scientific Coordinator

Erasmus University Medical Center
Department Child psychiatry
Prof. Neeltje van Haren
3000 CB Rotterdam, The Netherlands
Email: info@family.eu

Project Management

concentris research management gmbh (concentris)
82256 Fürstenfeldbruck, Germany
Phone: +49 (0)8141 6252 8570
Email: info@family.eu