ArticleNature. Mental health2025
Dissecting causal relationships between cortical morphology and neuropsychiatric disorders: a bidirectional Mendelian randomization study.
Article in Nature. Mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Mapping genetic convergence across brain structure, mental health, and cardiometabolic disease.Communications medicine · 2026Article
- Exploration of Genetic Overlap of Brain Phenotypes With Schizophrenia: Different Methods Provide Complementary Insights.Schizophrenia bulletin · 2026Article
- Investigating Bidirectional Causal Relationships Between Imaging-Derived Brain Phenotypes and Sedative-Hypnotic Use Disorder: A Mendelian Randomization Study.Addiction biology · 2026Article
- Cerebral cortical structures linked to intelligence.bioRxiv : the preprint server for biology · 2025Article
- Cortical differences across psychiatric disorders and associated common and rare genetic variants.medRxiv : the preprint server for health sciences · 2025Article
- Atlas of plasma metabolic markers linked to human brain morphology.bioRxiv : the preprint server for biology · 2025Article
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Authors and funding
11 authors.
Funding
Abstract
Brain cortical morphology, indexed by its surface area and thickness, is known to be highly heritable. Previous research has suggested a relationship of cortical morphology with several neuropsychiatric phenotypes. However, the multitude of potential confounders makes it difficult to establish causal relationships. Here, we employ Generalized Summary-data-based Mendelian Randomization and a series of sensitivity analyses to investigate causal links between 70 cortical morphology measures and 199 neuropsychiatric, behavioral, and metabolic phenotypes. We show that total brain cortical surface area (TSA) has significant positive causal effects on 18 phenotypes. The strongest effects include TSA positively influencing cognitive performance, while reverse analyses reveal small effects of cognitive performance on TSA. Global mean cortical thickness (MTH) exhibits significant causal effects on five phenotypes, including schizophrenia. MTH reduces schizophrenia risk and bidirectional causality is found between MTH and smoking initiation. Finally, in regional analyses we detect positive influences of the transverse temporal surface area on cognitive performance and negative influences of transverse temporal thickness on schizophrenia risk. Overall, our results highlight bidirectional associations between TSA, MTH, and neuropsychiatric traits. These insights offer potential avenues for intervention studies aimed at improving brain health.
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