Evidence map›Paper›PMID 41704843›Full record

ArticleBiological psychiatry global open science2026

Phenome-Wide Associations of Polygenic Scores for Schizophrenia and Major Depression in 100,000 Chinese Adults.

Baihan Wang, Sam Morris, Hannah Fry, Andri Iona, Jonathan Clarke, Kuang Lin, Igor Pupko, Christiana Kartsonaki, Derrick A Bennett, Yiping Chen and 17 more

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In one paragraph

Article in Biological psychiatry global open science, 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
–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

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

27 authors.

Baihan WangClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Sam MorrisClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Hannah FryClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Andri IonaClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Jonathan ClarkeClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Kuang LinClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Igor PupkoDivision of Psychiatry, University College London, London, United Kingdom.
Christiana KartsonakiClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Derrick A BennettClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Yiping ChenClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Huaidong DuClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Ling YangClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Daniel AveryClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Dan Schmidt-ValleClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Shixian FengNon-Communicable Diseases Prevention and Control Department, Henan Centre for Disease Control and Prevention, Zhengzhou, China.
Dianjianyi SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Pei PeiPeking University Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, China.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, China.
Karoline KuchenbaeckerDivision of Psychiatry, University College London, London, United Kingdom.
Naomi R WrayDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Robin G WaltersClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Zhengming ChenClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Iona Y MillwoodClinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
China Kadoorie Biobank Collaborative Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: China faces significant mental health challenges, with unique associations between mental disorders and other traits observed in its population. Methods: Based on summary statistics of existing genome-wide association studies in East Asian ancestry (EAS) and European ancestry (EUR) populations, we tested the associations of polygenic scores (PGSs) for schizophrenia (SCZ) and major depression (MD) with 254 phenotypes in 100,640 Chinese adults. We also conducted genetic correlation and Mendelian randomization analyses to assess the consistency of these associations across ancestries and infer causality. Results: The PGSs predicted SCZ ( Conclusions: Our study suggests the context specificity of relationships between mental disorders and other traits, highlighting a potential role of sociocultural factors.

Indexed as

Causal inferenceCross-population comparisonDepressionPhenome-wide association studyPolygenic scoreSchizophrenia

Identifiers

PMID41704843
PMCPMC12907099

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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 OpenQuestion graph.