Skip to content
Open access

Integrating biological pathway polygenic scores and trauma in psychosis: findings from the EU-GEI study

Aug 2026 · Translational Psychiatry · Vol 16 · 0 citations · 54 references
Medicine

TL;DR

Findings provide proof-of-concept for the utility of pPGSs in psychiatric research, suggesting both genetic contributions to trauma exposure and GxE effects on psychosis risk, as well as supporting pathway-specific contributions beyond general polygenic risk.

Abstract

Psychotic disorders are complex, multifactorial conditions influenced by both genetic liability and early environmental adversity. Polygenic risk scores (PRSs) derived from genome-wide association studies have shown utility in capturing genetic predisposition, but their biological interpretability remains limited. In this study, we evaluated whether biologically informed pathway-specific polygenic scores (pPGSs) for psychosis, restricted to neurotransmitter-related pathways, could help clarify gene-environment interplay. Using data from 1 192 individuals in the EU-GEI multi-site case-control study, we constructed pPGSs for dopamine, glutamate, GABA, and serotonin systems. We investigated associations between pPGSs and childhood trauma (rGE), their interactions on psychosis risk (GxE), and the influence of the genome-wide psychosis PRS on these relationships. Serotonin, dopamine, and glutamate pPGSs were positively associated with a composite trauma exposure (i.e., abuse and neglect), suggesting shared genetic factors contributing to both psychosis liability and early adversity. Significant negative GxE effects were observed for both dopamine and serotonin pPGSs, indicating that higher trauma exposure diminished the relative influence of genetic liability on psychosis risk. Adjustment for the genome-wide psychosis PRS attenuated most effects, but serotonergic and dopaminergic associations remained robust, supporting pathway-specific contributions beyond general polygenic risk. These findings provide proof-of-concept for the utility of pPGSs in psychiatric research, suggesting both genetic contributions to trauma exposure and GxE effects on psychosis risk. Further research incorporating epigenetic data and longitudinal designs may enhance mechanistic insight and translational potential.

Read PDF

Similar papers

Open access Aug 2026

Polygenic risk meets early trauma: toward a neuropsychodevelopmental model of schizophrenia.

This Perspective examines current neurodevelopmental models of schizophrenia and proposes that polygenic liability, environmental exposures (including early trauma), and psychological processes interact dynamically and bidirectionally across sensitive developmental windows, shaping distinct neuropsychodevelopmental tra...

A. Del Casale, Paolo Girardi, J. F. Arena et al. · 0 citations
Open access Sep 2026

Genetic architecture of externalizing and internalizing traits in the general population and its link to psychiatric conditions and well-being: a multivariate approach.

Externalizing and internalizing behaviours capture heritable, transdiagnostic dimensions of psychopathology, but their genetic architecture and links to societal outcomes remain incompletely understood. This study applied a multivariate framework to population-based, non-clinical traits to explore simultaneous genetic...

B. Šakić, M. Klein, N. Roth Mota et al. · 0 citations
Open access Jul 2026

Genome-wide association analyses of borderline personality disorder identify 11 loci and highlight shared risk with mental and somatic disorders

BPD showed the strongest positive genetic correlations with GWAS of post-traumatic stress disorder, depression, attention deficit hyperactivity disorder, antisocial behavior, antisocial behavior, and measures of suicide and self-harm.

F. Streit, S. Awasthi, Alisha S. M. Hall et al. · 1 citation
Open access Jul 2026

Disorder-specific and shared genetic architecture underlying schizophrenia and bipolar disorder

It is shown that SCZ and BIP genetic risk is best understood as biologically distinguishable shared and disorder-predominant dimensions that differentially map onto cognitive, cardiometabolic, immune, and molecular architecture.

U. Bhattacharyya, J. John, M. Preuss et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.