Evidence map›Paper›PMID 41253807›Full record

ArticleNature communications2025

Neural-genetic-environmental evidence for a disease factor in mental and physical health multimorbidity.

Jin Chen, Yuning Zhang, Shu Liu, Miguel Garcia-Argibay, Tianye Jia, Jujiao Kang, Wei Li, Marco Solmi, Hongyi Sun, Wenqi Liu and 3 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Jin Chen *State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China.ORCID http://orcid.org/0009-0008-1360-7019
Yuning Zhang *Developmental EPI (Evidence synthesis, Prediction, Implementation) lab, Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK.
Shu LiuKey Laboratory of Genetic Evolution and Animal Models, National Research Facility for Phenotypic and Genetic Analysis of Model, Kunming, China.ORCID http://orcid.org/0000-0001-8312-0080
Miguel Garcia-ArgibayDevelopmental EPI (Evidence synthesis, Prediction, Implementation) lab, Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0002-4811-2330
Tianye JiaInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-5399-2953
Jujiao KangInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-4489-7281
Wei LiState Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China.ORCID http://orcid.org/0009-0000-0558-7400
Marco SolmiSCIENCES lab, Department of Psychiatry, University of Ottawa, Ontario, ON, Canada.
Hongyi SunDevelopmental EPI (Evidence synthesis, Prediction, Implementation) lab, Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK.
Wenqi LiuData Science Research Center, Kunming University of Science and Technology, Kunming, China.
Congying ChuBrainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China. chucongying@gmail.com.ORCID http://orcid.org/0000-0002-7808-8896
Samuele CorteseDevelopmental EPI (Evidence synthesis, Prediction, Implementation) lab, Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK. Samuele.Cortese@soton.ac.uk.ORCID http://orcid.org/0000-0001-5877-8075
Jiaojian WangState Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China. jiaojianwang@uestc.edu.cn.ORCID http://orcid.org/0000-0002-0421-5709

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62176044
6 · The paper itself

Abstract

Increasing evidence reveals the presence of multimorbidity across physical and mental disorders. A general disease factor (d factor) has been recently identified to capture the shared liability across these conditions, yet its biological basis remains poorly understood. Here, using data from the UK Biobank, we reveal the d factor's neural, genetic, and environmental underpinnings. We show that the d factor is associated with extreme negative deviations in grey matter volume and white matter microstructure. A genome-wide association study identifies its genetic loci and correlations with unhealthy lifestyle, anthropometric measures, and mood-related phenotypes. Furthermore, Mendelian randomization suggests a causal effect of living environmental deprivation on the d factor. Mediation analysis further reveals that the d factor links this environmental adversity to individual differences in brain structure. Our findings establish a multi-level biological characterization of general disease liability, connecting environmental, genetic, and neural factors and inform transdiagnostic approaches to prevention and treatment.

Indexed as

Gene-Environment InteractionMental DisordersMultimorbidityAdultAgedBrainFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGray MatterHumansLife StyleMaleMendelian Randomization AnalysisMiddle AgedPhenotype

Identifiers

PMID41253807
PMCPMC12627566

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.