Applying Transgenerational Scientific Evidence to the Next Wave of Early Identification Strategies for Psychopathological Risk-Transdiagnostic, Developmental, and Personalized

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

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.

Debate: The prevention of psychosis in child and adolescent mental health services

Psychopathological conditions in adolescence and young adulthood often result from an altered neurodevelopment already phenotypically expressed in childhood. Child and adolescent mental health services are ideally placed to intercept in the developmental trajectories of younger adolescents and contribute to the early detection of a risk for psychosis, as proposed by Salazar de Pablo and Arango (2023, Child and Adolescent Mental Health), opening a debate to which we contribute. The early detection of a specific risk for psychosis and of a broader risk for severe mental illness requires an understanding of the clinical staging of psychosis, neurodevelopmental antecedents of severe mental illness and of heterotypic trajectories between childhood phenotypes and adult disorders.

The Mediating Role of Mindful Parenting in the Relationship Between Parental Anxiety and Youth's Emotional and Behavioral Difficulties

One of the central questions in the theory of the intergenerational transmission of psychological symptoms is to identify whether parenting practices explain the transmission of psychological symptoms from parents to youth. This study examined the mediating mechanism of mindful parenting in the relationship between parental anxiety and youth's emotional and behavioral difficulties. In three waves separated by six months, longitudinal data were collected from 692 Spanish youth (54% girls) aged between 9 and 15 years (Mage = 12.84 years, SD = 1.22 years at Wave 1) and their parents. Path analysis showed that maternal mindful parenting mediated the relationship between maternal anxiety and the youth's emotional and behavioral difficulties. No mediating effect was found concerning fathers; however, marginal bidirectional relationships were obtained between paternal mindful parenting and youth's emotional and behavioral difficulties. This study addresses one of the main concerns about the theory of intergenerational transmission using a multi-informant and longitudinal study design, concluding that maternal anxiety predicts less mindful parenting practices and these in turn predict youth's emotional and behavioral difficulties.

Family environment and polygenic risk in the bipolar high-risk context

Background

The interaction of polygenic risk (PRS) and environmental effects on development of bipolar disorder (BD) is understudied, as are high-risk offspring perceptions of their family environment (FE). We tested the association of offspring-perceived FE in interaction with BD-PRS on liability for BD in offspring at high or low familial risk for BD.

Methods

Offspring of a parent with BD (oBD; n = 266) or no psychiatric disorders (n = 174), aged 12-21 at recruitment, participated in the US and Australia. Empirically-derived profiles of FE classified offspring by their perceived levels of familial cohesion, flexibility, and conflict. Offspring BD-PRS were derived from Psychiatric Genomics Consortium BD-GWAS. Lifetime DSM-IV bipolar disorders were derived from the Schedule for Affective Disorders and Schizophrenia for School-Aged Children. We used a novel stepwise approach for latent class modeling with predictors and distal outcomes.

Results

Fifty-two offspring were diagnosed with BD. For those with well-functioning FE (two-thirds of the sample), higher BD-PRS tracked positively with liability for BD. However, for those with high-conflict FEs, the relationship between BD-PRS and liability to BD was negative, with highest risk for BD observed with lower BD-PRS. In exploratory analyses, European-ancestry offspring with BD had elevated history of suicidal ideation in high-conflict FE compared to well-functioning-FE, and of suicide attempt with low-BD-PRS and high-conflict FE.

Conclusions

The data suggest that the relationship of BD-PRS and offspring liability for BD differed between well-functioning versus high-conflict FE, potentially in line with a multifactorial liability threshold model and supporting future study of and interventions improving family dynamics.