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What’s next for the field of multigenerational mental health? The need for deep behavioral phenotyping via a prenatal mental health registry

Published online by Cambridge University Press:  13 February 2024

Elisabeth Conradt*
Affiliation:
Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
Sierra Carter
Affiliation:
Department of Psychology, Georgia State University, Atlanta, GA, USA
Sheila E. Crowell
Affiliation:
Department of Psychology, University of Oregon, Eugene, OR, USA
*
Corresponding author: E. Conradt; Email: liz.conradt@duke.edu

Abstract

From its inception, development and psychopathology theorists have sought to uncover the earliest forms of risk for mental health challenges in children, to prevent the development of more severe, intractable manifestations of psychopathology. Large familial risk registries have advanced our understanding of early, potentially modifiable factors that could prevent or mitigate the expression of challenging symptoms of neurodevelopmental conditions, and similar registries have been proposed to advance understanding of ADHD and related phenotypes. Data from single-site studies, largely focused on perinatal exposure to maternal mood disorders, reveal that a robust predictor of child psychopathology is parental psychopathology. However, early developmental trajectories of psychopathology risk may be better captured using transdiagnostic approaches in pregnancy, capturing the full range of mental health symptoms. We describe here the need for a parental mental health registry that begins prenatally that includes deep behavioral phenotyping across a range of transdiagnostic indicators of mental health risk to prevent psychopathology in children. This registry has the potential to uncover pathways to psychopathology risk in childhood and support the discovery of novel mechanisms to be targeted for prevention and intervention.

Type
Special Issue Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press

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