Evidence map›Paper›PMID 40436851›Full record

ArticleNature communications2025

Pleiotropic and sex-specific genetic mechanisms of circulating metabolic markers.

Dennis van der Meer, Zillur Rahman, Aigar Ottas, Pravesh Parekh, Gleda Kutrolli, Sara E Stinson, Maria Koromina, Jaroslav Rokicki, Ida E Sønderby, Nadine Parker and 17 more

Abstract 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. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Atlas of plasma metabolic markers linked to human brain morphology.bioRxiv : the preprint server for biology · 2025
    Article
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.

Dennis van der MeerCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway. d.van.der.meer@medisin.uio.no.ORCID http://orcid.org/0000-0002-0466-386X
Zillur RahmanCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.
Aigar OttasEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23b, Tartu, 51010, Estonia.
Pravesh ParekhCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-1930-1167
Gleda KutrolliCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0001-6602-2622
Sara E StinsonCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-1491-9179
Maria KorominaCharles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID http://orcid.org/0000-0001-8843-082X
Jaroslav RokickiCentre of Research and Education in Forensic Psychiatry (SIFER), Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0003-3258-1674
Ida E SønderbyCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0001-7297-7855
Nadine ParkerCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-8369-0152
Markos TesfayeCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-3351-701X
Guy HindleyCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0003-1666-4701
Linn N RødevandCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0001-5967-6601
Elise KochCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0003-3727-4470
Estonian Biobank Research Team
Nils Eiel SteenCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0001-6442-1179
Jens Petter BergDepartment of Medical Biochemistry, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Kevin S O'ConnellCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.
Olav B SmelandCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-3761-5215
Oleksandr FreiCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-6427-2625
Anders M DaleCenter for Multimodal Imaging and Genetics, University of California at San Diego, La Jolla, CA, 92037, USA.ORCID http://orcid.org/0000-0002-6126-2966
Srdjan DjurovicCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-8140-8061
Kelli LehtoEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23b, Tartu, 51010, Estonia.
Maris AlverEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23b, Tartu, 51010, Estonia.
Lili MilaniEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23b, Tartu, 51010, Estonia.ORCID http://orcid.org/0000-0002-5323-3102
Alexey A ShadrinCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.
Ole A AndreassenCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway. ole.andreassen@medisin.uio.no.ORCID http://orcid.org/0000-0002-4461-3568

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 Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
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 AG050595NIA NIH HHS R01 AG076838NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA055330
6 · The paper itself

Abstract

Metabolites in plasma form biosignatures of a range of common complex human diseases. Discovering variants with pleiotropic effects across metabolites can reveal underlying biological mechanisms. We therefore performed uni- and multivariate genome-wide association studies (GWAS) on 249 circulating metabolic markers across 328,006 UK Biobank and Estonian Biobank participants. We investigated rare variation through whole exome sequencing gene burden tests, analysed the role of body mass index through Mendelian randomization, and performed genome-wide interaction analyses with sex. We discovered 15,585 loci summed over the univariate GWAS, with high pleiotropy across markers, linked to a wide range of disorders. Findings from common and rare variant gene tests converged on lipid homeostasis pathways. 31 loci interacted with sex, mapped to genes involved in cholesterol processing. The findings offer insights into the genetic architecture of circulating metabolites, revealing pleiotropic loci, highlighting the role of rare variation, and uncovering sex-specific molecular mechanisms of lipid metabolism.

Indexed as

Genetic PleiotropyBiomarkersBody Mass IndexCholesterolEstoniaExome SequencingFemaleGenome-Wide Association StudyHumansLipid MetabolismMaleMendelian Randomization AnalysisMiddle AgedPolymorphism, Single NucleotideSex FactorsUnited KingdomBiomarkersCholesterol

Identifiers

PMID40436851
PMCPMC12119811

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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.