Evidence map›Paper›PMID 37399490›Full record

SynthesisBlood advances2023

Polygenic risk of major depressive disorder as a risk factor for venous thromboembolism.

Joey Ward, Ngoc-Quynh Le, Suryakant Suryakant, Jennifer A Brody, Philippe Amouyel, Anne Boland, Rosemary Bown, Breda Cullen, Stéphanie Debette, Jean-François Deleuze and 16 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Blood advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  8. Review
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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

26 authors.

Joey WardSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Ngoc-Quynh LeGenomics of Complex Disease Unit, Institut d'Investigació Biomèdica Sant Pau, Barcelona, Spain.
Suryakant SuryakantUniversity of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France.
Jennifer A BrodyCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA.ORCID 0000-0001-8509-148X
Philippe AmouyelUniversity of Lille, INSERM, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE-Facteurs de Risque et Déterminants Moléculaires des Maladies Liées au Vieillissement, Lille, France.ORCID 0000-0001-9088-234X
Anne BolandUniversité Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry, France.ORCID 0000-0001-8789-5676
Rosemary BownSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-1719-2761
Breda CullenSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Stéphanie DebetteUniversity of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France.
Jean-François DeleuzeUniversité Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry, France.
Joseph EmmerichDepartment of Vascular Medicine, Paris Saint-Joseph Hospital Group, University of Paris, Paris, France.
Nicholas GrahamSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Marine GermainUniversity of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France.
Jana J AndersonSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0001-7290-6635
Jill P PellSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Donald M LyallSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Laura M LyallSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0001-7216-1434
Daniel J SmithSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Kerri L WigginsCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA.ORCID 0000-0003-2749-1279
José Manuel SoriaGenomics of Complex Disease Unit, Institut d'Investigació Biomèdica Sant Pau, Barcelona, Spain.
Juan Carlos SoutoUnitat d'Hemostàsia i Trombosi, Institut d'Investigació Biomèdica Sant Pau, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Pierre-Emmanuel MorangeAix-Marseille University, INSERM, INRAE, Centre de Recherche en CardioVasculaire et Nutrition, Laboratory of Haematology, CRB Assistance Publique - Hôpitaux de Marseille, HemoVasc, Marseille, France.
Nicholas L SmithDepartment of Epidemiology, University of Washington, Seattle, WA.
David-Alexandre TrégouëtUniversity of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France.ORCID 0000-0001-9084-7800
Maria Sabater-LlealGenomics of Complex Disease Unit, Institut d'Investigació Biomèdica Sant Pau, Barcelona, Spain.ORCID 0000-0002-0128-379X
Rona J StrawbridgeSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0001-8506-3585

Funding

British Heart FoundationMedical Research Council MC_PC_17217Medical Research Council MR/S003061/1Wellcome Trust
6 · The paper itself

Abstract

Major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SCZ) are associated with an increased risk of cardiovascular diseases, including venous thromboembolism (VTE). The reasons for this are complex and include obesity, smoking, and use of hormones and psychotropic medications. Genetic studies have increasingly provided evidence of the shared genetic risk of psychiatric and cardiometabolic illnesses. This study aimed to determine whether a genetic predisposition to MDD, BD, or SCZ is associated with an increased risk of VTE. Genetic correlations using the largest genome-wide genetic meta-analyses summary statistics for MDD, BD, and SCZ (Psychiatric Genetics Consortium) and a recent genome-wide genetic meta-analysis of VTE (INVENT Consortium) demonstrated a positive association between VTE and MDD but not BD or SCZ. The same summary statistics were used to construct polygenic risk scores for MDD, BD, and SCZ in UK Biobank participants of self-reported White British ancestry. These were assessed for impact on self-reported VTE risk (10 786 cases, 285 124 controls), using logistic regression, in sex-specific and sex-combined analyses. We identified significant positive associations between polygenic risk for MDD and the risk of VTE in men, women, and sex-combined analyses, independent of the known risk factors. Secondary analyses demonstrated that this association was not driven by those with lifetime experience of mental illness. Meta-analyses of individual data from 6 additional independent cohorts replicated the sex-combined association. This report provides evidence for shared biological mechanisms leading to MDD and VTE and suggests that, in the absence of genetic data, a family history of MDD might be considered when assessing the risk of VTE.

Indexed as

Bipolar DisorderMajor Depressive DisorderSchizophreniaVenous ThromboembolismFemaleHumansMaleRisk Factors

Identifiers

PMID37399490
PMCPMC10506044

What OpenQuestion holds

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LicenceCC BY
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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.