Evidence map›Paper›PMID 42003227›Full record

ArticleHuman brain mapping2026

Distinct Neonatal Brain Anatomy Is Associated With Cross-Disorder Genetic Risk for Psychiatric Disorders.

Xixi Dang, Ruiqi Su, Dan Wu, Mingyang Li

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Xixi DangDepartment of Psychology, Hangzhou Normal University, Hangzhou, China.
Ruiqi SuKey Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.
Dan WuKey Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-9303-5821
Mingyang LiKey Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.

Funding

Ministry of Science and Technology of the People's Republic of China 2021ZD0200202National Natural Science Foundation of China 32400887Zhejiang Provincial Natural Science Foundation of China LQ23C090008Zhejiang Provincial Philosophy and Social Science Planning Project: Provincial-Municipal Collaboration 25SSHZ006YB
6 · The paper itself

Abstract

Psychiatric disorders share a complex polygenic architecture, yet how this genetic liability relates to early brain development remains unclear. This study investigated the associations between cross-disorder polygenic risk and neonatal brain anatomy. We derived three latent psychiatric factors using GenomicSEM, reflecting shared genetic liability among related conditions: A neurodevelopmental factor, a compulsive factor, and a mood-psychosis factor. We then calculated respective polygenic risk scores (PRS) in 336 neonates from the Developing Human Connectome Project. We found that cross-disorder PRSs (neurodevelopmental and mood-psychosis factors) showed significantly broader associations with neonatal brain volumes than disorder-specific PRSs. These associations were highly robust, as confirmed through validation analyses using updated GWAS data and an alternative PRS method (PRS-CS). These cross-disorder PRSs were strongly correlated with smaller global brain size. After accounting for this global effect, associations with a subset of brain regions remained detectable. In exploratory analyses, the neurodevelopmental factor was reproducibly linked to heightened alertness at 18 months. Our results reveal that shared genetic risk for psychiatric disorders manifests as both global and regionally specific variations in brain anatomy at birth, highlighting the value of cross-disorder genetic models for elucidating early neurodevelopmental vulnerability.

Indexed as

BrainGenetic Predisposition to DiseaseMental DisordersConnectomeFemaleGenetic Risk ScoreHumansInfantInfant, NewbornMagnetic Resonance ImagingMaleMultifactorial InheritanceNeurodevelopmentbrain structurecross‐disorder factorneonatal brainneurodevelopmentpolygenic risk score

Identifiers

PMID42003227
PMCPMC13092910

What Socratic holds

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LicenceCC BY
Read underepoch 390

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.