Evidence map›Paper›PMID 37390107›Full record

ArticlePLoS genetics2023

A multivariate genome-wide association study of psycho-cardiometabolic multimorbidity.

Vilte Baltramonaityte, Jean-Baptiste Pingault, Charlotte A M Cecil, Priyanka Choudhary, Marjo-Riitta Järvelin, Brenda W J H Penninx, Janine Felix, Sylvain Sebert, Yuri Milaneschi, Esther Walton and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% of its field
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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
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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

11 authors at 6 institutions in 3 countries.

Vilte BaltramonaityteDepartment of Psychology, University of Bath, Bath, United Kingdom.ORCID 0000-0002-9776-735X
Jean-Baptiste PingaultDepartment of Clinical, Educational, and Health Psychology, University College London, London, United Kingdom.
Charlotte A M CecilDepartment of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Priyanka ChoudharyResearch Unit of Population Health, University of Oulu, Oulu, Finland.
Marjo-Riitta JärvelinResearch Unit of Population Health, University of Oulu, Oulu, Finland.
Brenda W J H PenninxDepartment of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands.
Janine FelixThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Sylvain SebertResearch Unit of Population Health, University of Oulu, Oulu, Finland.
Yuri MilaneschiDepartment of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands.
Esther WaltonDepartment of Psychology, University of Bath, Bath, United Kingdom.ORCID 0000-0002-0935-2200
EarlyCause Consortium
Amsterdam Neuroscience · NLErasmus MC · NLUniversity of Bath · GBUniversity of Oulu · FIImperial College London · GBLeiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery disease (CAD), type 2 diabetes (T2D) and depression are among the leading causes of chronic morbidity and mortality worldwide. Epidemiological studies indicate a substantial degree of multimorbidity, which may be explained by shared genetic influences. However, research exploring the presence of pleiotropic variants and genes common to CAD, T2D and depression is lacking. The present study aimed to identify genetic variants with effects on cross-trait liability to psycho-cardiometabolic diseases. We used genomic structural equation modelling to perform a multivariate genome-wide association study of multimorbidity (Neffective = 562,507), using summary statistics from univariate genome-wide association studies for CAD, T2D and major depression. CAD was moderately genetically correlated with T2D (rg = 0.39, P = 2e-34) and weakly correlated with depression (rg = 0.13, P = 3e-6). Depression was weakly correlated with T2D (rg = 0.15, P = 4e-15). The latent multimorbidity factor explained the largest proportion of variance in T2D (45%), followed by CAD (35%) and depression (5%). We identified 11 independent SNPs associated with multimorbidity and 18 putative multimorbidity-associated genes. We observed enrichment in immune and inflammatory pathways. A greater polygenic risk score for multimorbidity in the UK Biobank (N = 306,734) was associated with the co-occurrence of CAD, T2D and depression (OR per standard deviation = 1.91, 95% CI = 1.74-2.10, relative to the healthy group), validating this latent multimorbidity factor. Mendelian randomization analyses suggested potentially causal effects of BMI, body fat percentage, LDL cholesterol, total cholesterol, fasting insulin, income, insomnia, and childhood maltreatment. These findings advance our understanding of multimorbidity suggesting common genetic pathways.

Indexed as

Coronary Artery DiseaseDiabetes Mellitus, Type 2Genome-Wide Association StudyHumansMendelian Randomization AnalysisMultimorbidityPolymorphism, Single NucleotideRisk Factors

Identifiers

PMID37390107
PMCPMC10343069
OpenAlexW4382751973

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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.