Evidence map›Paper›PMID 37693619›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Distinct genomic signatures and modifiable risk factors underly the comorbidity between major depressive disorder and cardiovascular disease.

Jacob Bergstedt, Joëlle A Pasman, Ziyan Ma, Arvid Harder, Shuyang Yao, Nadine Parker, Jorien L Treur, Dirk J A Smit, Oleksandr Frei, Alexey Shadrin and 16 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 13 institutions in 8 countries.

Jacob BergstedtUnit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-9279-6936
Joëlle A PasmanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Ziyan MaDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Arvid HarderDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Shuyang YaoDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Nadine ParkerNORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Jorien L TreurGenetic Epidemiology, Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Dirk J A SmitGenetic Epidemiology, Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Oleksandr FreiNORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Alexey ShadrinNORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Joeri J MeijsenInstitute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark.
Qing ShenUnit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Sara HäggDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-2452-1500
Per TornvallDepartment of Clinical Science and Education Södersjukhuset, Karolinska Institutet, Stockholm, Sweden.
Alfonso BuilInstitute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark.
Thomas WergeInstitute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark.
Jens Hjerling-LefflerDepartment Medical Biochemistry and Biophysics, Karolinska Institutet, 171 77 Stockholm, Sweden.ORCID 0000-0002-4539-1776
Thomas D AlsDepartment of Molecular Medicine (MOMA), Molecular Diagnostic Laboratory, Aarhus University Hospital, Aarhus, Denmark.
Anders D BørglumDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Cathryn M LewisSocial, Genetic and Developmental Psychiatry Centre, King's College London, London, UK.ORCID 0000-0002-8249-8476
Andrew M McIntoshCentre for Clinical Brain Sciences, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.ORCID 0000-0002-0198-4588
Unnur A ValdimarsdóttirCentre of Public Health Sciences, Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland.
Ole A AndreassenNORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.ORCID 0000-0002-4461-3568
Patrick F SullivanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Yi LuDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-9933-3654
Fang FangUnit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-3310-6456
Karolinska Institutet · SEOslo University Hospital · NOMental Health Services · DKAarhus University · DKAarhus University Hospital · DKAmsterdam Neuroscience · NLAmsterdam University Medical Centers · NLHarvard University · USKing's College London · GBRoyal Edinburgh Hospital · GBTongji University · CNUniversity of Copenhagen · DKUniversity of North Carolina at Chapel Hill · US

Funding

2/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124851 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BOERGLUM, ANDERS, DAVIS, LEA K · 2021 to 2025
$5.4M
A Trans-Nordic Study of Extreme Major DepressionR01MH123724 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PATRICK F SULLIVAN, Lu Yi · 2020 to 2026
$4.7M
1/7 PGC: Advancing Discovery and ImpactR01MH124871 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BULIK, CYNTHIA M, SULLIVAN, PATRICK F · 2021 to 2025
$3.5M
2/2 Genetics at an extreme: an efficient genomic study of individuals with clinically severe major depression receiving ECTR01MH121545 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2019 to 2023
$2.9M
NIMH NIH HHS R01 MH121545NIMH NIH HHS R01 MH123724NIMH NIH HHS R01 MH124851NIMH NIH HHS R01 MH124871Wellcome Trust
6 · The paper itself

Abstract

Major depressive disorder (MDD) and cardiovascular disease (CVD) are often comorbid, resulting in excess morbidity and mortality. Using genomic data, this study elucidates biological mechanisms, key risk factors, and causal pathways underlying their comorbidity. We show that CVDs share a large proportion of their genetic risk factors with MDD. Multivariate genome-wide association analysis of the shared genetic liability between MDD and atherosclerotic CVD (ASCVD) revealed seven novel loci and distinct patterns of tissue and brain cell-type enrichments, suggesting a role for the thalamus. Part of the genetic overlap was explained by shared inflammatory, metabolic, and psychosocial/lifestyle risk factors. Finally, we found support for causal effects of genetic liability to MDD on CVD risk, but not from most CVDs to MDD, and demonstrated that the causal effects were partly explained by metabolic and psychosocial/lifestyle factors. The distinct signature of MDD-ASCVD comorbidity aligns with the idea of an immunometabolic sub-type of MDD more strongly associated with CVD than overall MDD. In summary, we identify plausible biological mechanisms underlying MDD-CVD comorbidity, as well as key modifiable risk factors for prevention of CVD in individuals with MDD.

Identifiers

PMID37693619
PMCPMC10491387
OpenAlexW4386359198

What Socratic holds

Textmetadata
LicenceCC BY
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.