Evidence map›Paper›PMID 42368810›Full record

ArticleFrontiers in psychiatry2026

Ventricular cardiac magnetic resonance traits and schizophrenia risk: a UK Biobank and Mendelian randomization study.

Jinfeng Yan, Siqi Yu, Yuan Gao, Jiajing Cai, Zhenghao Deng, Jian Yu, Qidong Liu

Abstract read
In one paragraph

Article in Frontiers in 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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

7 authors.

Jinfeng Yan *Shanghai Engineering Research Center of Tooth Restoration and Regeneration & Tongji Research Institute of Stomatology & Shanghai Tongji Stomatological Hospital and Dental School, Tongji University, Shanghai, China.
Siqi Yu *Shanghai Engineering Research Center of Tooth Restoration and Regeneration & Tongji Research Institute of Stomatology & Shanghai Tongji Stomatological Hospital and Dental School, Tongji University, Shanghai, China.
Yuan Gao *Bacteriological laboratory, Linyi Center for Disease Control and Prevention, Linyi, Shandong, China.
Jiajing CaiIndependent Researcher, Boston, MA, United States.
Zhenghao DengCenter of Advanced Medical Computing and Analysis, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Jian YuSchool of Medicine, Tongji University, Shanghai, China.
Qidong LiuSchool of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Genetic factors can influence variation in cardiac structure. Schizophrenia (SCZ) is also highly heritable. However, whether cardiac structural variation is related to SCZ risk remains unclear and insufficiently examined from a "heart-to-brain" perspective. Methods: Using data from 38,206 UK Biobank (UKB) participants, we assessed associations between 16 cardiac magnetic resonance imaging-derived ventricular traits and SCZ polygenic risk scores. Using ventricular cardiac magnetic resonance traits Genome-wide association study (GWAS) data from over 30,000 individuals and SCZ GWAS data from 127,906 individuals, two-sample Mendelian randomization (MR) was performed to evaluate potential causal associations. Reverse association analysis using data from UKB and reverse MR analysis were conducted to explore possible reverse effects. Results: Four ventricular traits showed significant associations with SCZ genetics, with end-systolic volume (ESV) of right ventricle (RV) exhibiting the strongest negative association. Forward MR provided evidence consistent with a potential causal association between genetically predicted higher ESV of RV and lower SCZ risk, with no strong indication of pleiotropy. All other traits in the forward MR analyses, as well as all traits in the reverse MR analyses, showed no statistically significant evidence of a potential causal association. Conclusions: Higher genetically predicted ESV of RV appears linked to reduced SCZ risk. These findings highlight ESV of RV as a ventricular characteristic with genetic relevance to SCZ. This study offers new insights into SCZ pathophysiology and opportunities for risk stratification and mechanistic investigation.

Indexed as

genome-wide association studyMendelian randomizationpolygenic risk scoresschizophreniaventricular CMR traits

Identifiers

PMID42368810
PMCPMC13303614

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.