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Isolating transdiagnostic effects reveals specific genetic profiles in psychiatric disorders
Engin Keser1, Wangjingyi Liao2, Andrea G Allegrini3
1Social, Genetic and Developmental Psychiatry Centre King's College London London UK.
JCPP Advances
|July 8, 2026
Summary
Psychiatric disorders share significant genetic influences. By analyzing genetic data from 11 disorders, researchers identified shared genetic factors, leading to a clearer understanding of individual disorder genetics and comorbidity.
Area of Science:
- Psychiatric Genetics
- Genomic Epidemiology
- Biostatistics
Background:
- Substantial genetic overlap exists among psychiatric diagnoses.
- Understanding transdiagnostic genetic effects is crucial for disorder-specific research and comorbidity patterns.
Purpose of the Study:
- To isolate shared genetic effects (genomic p-factor) from disorder-specific effects (non-p) across 11 psychiatric disorders.
- To examine SNP heritability and genetic correlations with external traits after accounting for transdiagnostic effects.
Main Methods:
- Genomic structural equation modeling was applied to genome-wide association study summary statistics.
- Analysis focused on isolating the genomic p-factor and residual non-p effects for 11 major psychiatric disorders.
Main Results:
- Accounting for transdiagnostic effects significantly altered genetic associations between psychiatric disorders, attenuating many correlations.
- Genetic correlations between psychiatric disorders and external biobehavioral traits demonstrated increased specificity after removing transdiagnostic influences.
Conclusions:
- Removing transdiagnostic genetic effects offers a more refined perspective on psychiatric disorder architecture.
- This approach enhances inference on genetic relationships, potentially informing psychiatric classification, prediction, and treatment research.
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