Distinct Neonatal Brain Anatomy Is Associated With Cross‐Disorder Genetic Risk for Psychiatric Disorders
Psychiatric disorders share a complex polygenic architecture, yet how this genetic liability relates to early brain development remains unclear. This study investigated the associations between cross-disorder polygenic risk and neonatal brain anatomy. We derived three latent psychiatric factors using GenomicSEM, reflecting shared genetic liability among related conditions: A neurodevelopmental factor, a compulsive factor, and a mood-psychosis factor. We then calculated respective polygenic risk scores (PRS) in 336 neonates from the Developing Human Connectome Project. We found that cross-disorder PRSs (neurodevelopmental and mood-psychosis factors) showed significantly broader associations with neonatal brain volumes than disorder-specific PRSs. These associations were highly robust, as confirmed through validation analyses using updated GWAS data and an alternative PRS method (PRS-CS). These cross-disorder PRSs were strongly correlated with smaller global brain size. After accounting for this global effect, associations with a subset of brain regions remained detectable. In exploratory analyses, the neurodevelopmental factor was reproducibly linked to heightened alertness at 18 months. Our results reveal that shared genetic risk for psychiatric disorders manifests as both global and regionally specific variations in brain anatomy at birth, highlighting the value of cross-disorder genetic models for elucidating early neurodevelopmental vulnerability.
Authors
- M Li
- Xixi Dang (ORCID: https://orcid.org/0000-0001-7381-9234)
- D W Wu
- Ruiqi Su
Institutions
- Hangzhou Normal University (CN)
- Children's Hospital of Zhejiang University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Human Brain Mapping
- Published
- 2026-04-15
- DOI
- https://doi.org/10.1002/hbm.70532
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute for Health and Care Research
- European Commission
- National Natural Science Foundation of China
- Ministry of Science and Technology of the People's Republic of China
- Jilin Office of Philosophy and Social Science
- Engineering and Physical Sciences Research Council
- Centre For Medical Engineering, King’s College London
- Natural Science Foundation of Zhejiang Province