Evidence map›Paper›PMID 42521761›Full record

ArticleMolecular psychiatry2026

Genetically informed dissection of multimodal brain aging and ten major psychiatric disorders.

Qiyu Zhao, Qi An, Wenjie Cai, Jinglei Xu, Qian Wu, Ying Zhai, Yue Wu, Haolin Wang, Minghuan Lei, Zhihui Zhang and 3 more

Abstract read
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In one paragraph

Article in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Qiyu Zhao *Department of Radiology, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, China.ORCID http://orcid.org/0009-0003-2960-3024
Qi An *Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Wenjie Cai *Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Jinglei XuDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Qian WuDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Ying ZhaiDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Yue WuDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Haolin WangDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Minghuan LeiDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Zhihui ZhangDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Pengyuan WangDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China. wangpy@sj-hospital.org.
Zezhi LiDepartment of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510370, China. biolpsychiatry@126.com.ORCID http://orcid.org/0000-0001-9149-5800
Feng LiuDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China. fengliu@tmu.edu.cn.ORCID http://orcid.org/0000-0002-3570-4222

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82572306,82072001
6 · The paper itself

Abstract

Brain age gap (BAG), defined as the deviation between neuroimaging-predicted brain age and chronological age, has emerged as an imaging-derived phenotype associated with psychiatric disorders. Although both BAG and psychiatric disorders are highly heritable, their shared genetic architecture has remained poorly understood. Here, we integrated large-scale genome-wide association study (GWAS) summary statistics for multimodal BAG phenotypes derived from UK Biobank neuroimaging data, together with GWAS data for ten major psychiatric disorders from the Psychiatric Genomics Consortium and FinnGen, to systematically investigate their shared genetic architecture. We identified significant genetic correlations across seven BAG-disorder pairs and quantified widespread polygenic overlap (maximum Dice coefficient = 58.3%). Across 98 genomic loci jointly associated with BAG phenotypes and psychiatric traits, the majority of variants mapped to putative regulatory regions. Gene mapping uncovered a substantial number of genes contributing to multiple disorders, highlighting extensive cross-disorder genetic sharing. These genes were enriched in pathways related to synaptic signaling, neuronal development, and mitochondrial function-key neurobiological processes involved in both brain aging and psychiatric pathology. Bidirectional Mendelian randomization analyses provided no robust evidence for causal relationships between BAG phenotypes and psychiatric disorders. Collectively, our findings reveal partial genetic overlap between altered brain aging and diverse psychiatric disorders, providing an integrative cross-modality perspective on the shared genetic influences and related biological pathways linking brain aging and psychiatric vulnerability.

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