Evidence map›Paper›PMID 41703690›Full record

ArticleThe American journal of psychiatry2026

Divergent Patterns of Genetic Overlap Between Severe Mental Disorders and Metabolic Markers.

Dennis van der Meer, Alexey A Shadrin, Sara E Stinson, Elise Koch, Jaroslav Rokicki, Zillur Rahman, Jacob Bergstedt, Aigar Ottas, Ida E Sønderby, Linn Rødevand and 9 more

Abstract read
In one paragraph

Article in The American journal of psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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.

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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

19 authors.

Dennis van der MeerCenter for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo.ORCID 0000-0002-0466-386X
Alexey A ShadrinCenter for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo.
Sara E StinsonCenter for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo.
Elise KochCenter for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo.ORCID 0000-0003-3727-4470
Jaroslav RokickiCenter of Research and Education in Forensic Psychiatry (SIFER), Oslo University Hospital, Oslo.
Zillur RahmanCenter for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo.
Jacob BergstedtUnit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm.
Aigar OttasEstonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.
Ida E SønderbyCenter for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo.
Linn RødevandCenter for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo.
Julian FuhrerCenter for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo.
Daniel S QuintanaK.G. Jebsen Center for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo.
Anders M DaleCenter for Multimodal Imaging and Genetics, J. Craig Venter Institute, La Jolla.
Kevin S O'ConnellCenter for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo.
Srdjan DjurovicCenter for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo.
Kelli LehtoEstonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.
Lili MilaniEstonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.
Maris AlverEstonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.
Ole A AndreassenCenter for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo.

Funding

OTA-21-015A Post-Acute Sequelae of SARS-CoV-2 Infection Initiative: NYU Langone Health Clinical Science Core, Data Resource Core, and PASC Biorepository CoreOT2HL161847 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GROSS, RACHEL SHARON, HORWITZ, LEORA · 2021 to 2025
$651.0M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
Healthy Brain and Child Development National Consortium Data Coordinating CenterU24DA055330 · NIDA · WASHINGTON UNIVERSITY · PI ANDERS M DALE, Damien A Fair · 2021 to 2026
$34.6M
The VETSA Longitudinal MRI Twin Study of Aging (VETSA MRI 4)R01AG076838 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE, Jeremy A Elman · 2022 to 2026
$8.7M
NHLBI NIH HHS OT2 HL161847NIA NIH HHS R01 AG076838NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA055330
6 · The paper itself

Abstract

objectiveBipolar disorder, major depressive disorder (MDD), and schizophrenia are severe mental disorders and are each associated with poor cardiometabolic health. Mapping genetic relationships of these heritable disorders with blood markers of metabolic activity may uncover biological pathways underlying this important shared clinical feature.

methodsThe authors charted genetic overlap of the three disorders, type 2 diabetes, coronary artery disease, and body mass index (BMI) with 249 circulating metabolites through linkage disequilibrium score regression and bivariate Gaussian mixture modeling. Causal relationships and functionally annotated shared genetic variants were estimated, and enrichment across brain and body tissues was investigated.

resultsAll three disorders had extensive overlap with the metabolites. The pattern of genetic correlations was similar between MDD, type 2 diabetes, coronary artery disease, and BMI (Spearman's correlation r

conclusionsSevere mental disorders have strong associations with metabolites, and MDD has a distinctly different genetic relationship than bipolar disorder and schizophrenia do. The study findings suggest that metabolic pathways are involved in the development of severe mental disorders and can play a central role in disentangling disorder-specific etiologies. The "metabolic psychiatry" approach applied here has high potential to guide development of targeted interventions.

Indexed as

Bipolar DisorderCoronary Artery DiseaseDiabetes Mellitus, Type 2Major Depressive DisorderSchizophreniaBiomarkersBody Mass IndexGenome-Wide Association StudyHumansLinkage DisequilibriumBiomarkersDepressive DisordersGenetics/GenomicsMetabolismSchizophrenia Spectrum and Other Psychotic Disorders

Identifiers

PMID41703690
PMCPMC13138132

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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 OpenQuestion graph.