Evidence map›Paper›PMID 42864636›Full record

ArticleBMC medicine2026

Brain imaging-derived phenotypes influence risk of bipolar disorder: comprehensive exposome-wide association and wide-angled genetic analyses.

Wenzhuo Yang, Lin Pan, Haoqun Xie, Jialin Deng, Yifan Li, Yu Hu, Yihe Zhang, Kaijun Sun, Hongyu Chen, Laiyu Yang and 7 more

Abstract read
In one paragraph

Article in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

17 authors.

Wenzhuo Yang *Department of Neurosurgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Lin Pan *Department of Neurology, Neuroscience Research Center, The First Hospital of Jilin University, Changchun, China.
Haoqun Xie *Department of Neurosurgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jialin Deng *Department of Neurosurgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yifan LiZhongShan School of Medicine, Sun Yat-Sen University, 74 Zhongshan Road II, Guangzhou, China.
Yu HuZhongShan School of Medicine, Sun Yat-Sen University, 74 Zhongshan Road II, Guangzhou, China.
Yihe ZhangSchool of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China.
Kaijun SunDepartment of Neurology, Neuroscience Research Center, The First Hospital of Jilin University, Changchun, China.
Hongyu ChenDepartment of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Laiyu YangChina-Japan Union Hospital of Jilin University, Jilin University, Changchun, 130033, China.
Zijian ChenDepartment of Neurosurgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Bincheng YuZhongShan School of Medicine, Sun Yat-Sen University, 74 Zhongshan Road II, Guangzhou, China.
Leyan ChenDepartment of Neurosurgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Zibing ZhaoDepartment of Neurology, Neuroscience Research Center, The First Hospital of Jilin University, Changchun, China.
Yonggao MouDepartment of Neurosurgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yinsheng ChenDepartment of Neurosurgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China. chenyinsh@sysucc.org.cn.
Sheng ZhongDepartment of Neurosurgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China. zhongsheng@sysucc.org.cn.

Funding

National Natural Science Foundation of China 82303310
6 · The paper itself

Abstract

backgroundDespite many reported imaging markers for bipolar disorder (BD), systematic assessment across diverse brain imaging-derived phenotypes (IDPs) is lacking. We used epidemiological and genetic analyses to progress from association to causality and identify candidate biomarkers and potential pathways of BD.

methodsWe conducted an Exposome-Wide Association Study (ExWAS) in 35,680 UK Biobank participants to assess associations of 686 brain IDPs with BD. Genetic correlations were estimated via linkage disequilibrium score regression (LDSC). Bidirectional two-sample Mendelian randomization (MR) and meta-analysis were performed using large-scale GWAS data to infer causality. Additional analyses, including Functional Mapping and Annotation (FUMA), protein-protein interaction (PPI) network analysis, and spatiotemporal gene expression profiling during human brain development, were performed to investigate potential biological mechanisms of BD and IDPs.

resultsIn our ExWAS analyses, we identified 10 significant exposome-level IDPs, and LDSC further revealed 67 IDPs with significant genetic correlations with BD. The MR analyses provided robust causal evidence for 12 IDPs, 6 of which were further validated by meta-analysis. Integrative analyses identified two associations supported by both epidemiological and genetic evidence (IDP.1510: fractional anisotropy in the forceps major, and IDP.0387: volume of the right lateral orbital frontal cortex). Additionally, we identified pleiotropic genes between IDPs and BD. Gene enrichment analyses implicated shared biological pathways, such as nucleosome assembly and neutrophil extracellular trap formation . PPI network analysis suggested that histone family members occupied central hubs in the interaction network. Spatiotemporal expression profiling identified region-specific developmental trajectories of pleiotropic genes in brain regions, including the cerebellum and thalamus, with the late fetal to early postnatal period potentially representing a sensitive developmental period for neurodevelopmental effects of BD susceptibility genes.

conclusionsThis study establishes an atlas of brain IDPs associated with BD, by integrating epidemiological and genetic evidence. The findings highlight candidate IDPs, including right lateral orbital frontal cortex volume and fractional anisotropy in the forceps major, that were consistently associated with BD across complementary analyses. Our results provide genetically supported targets for early intervention and precision psychiatry.

Indexed as

Bipolar DisorderBrainExposomeNeuroimagingFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMalePhenotypeProtein Interaction MapsBipolar disorder (BD)Brain imaging-derived phenotypes (IDPs)Exposome-wide association study (ExWAS)Genetic correlationNeuroimaging biomarkers

Identifiers

PMID42864636
PMCPMC13660068

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