Evidence map›Paper›PMID 41022758›Full record

ArticleNPJ genomic medicine2025

Genetic analyses across cardiovascular traits: leveraging genetic correlations to empower locus discovery and prediction in common cardiovascular diseases.

Paloma Jordà, Yiwei Lai, Amélie Jeuken, Louis-Philippe Lemieux Perreault, Elisabeth Goulet, Najim Lahrouchi, Anna Nozza, Michael W Tanck, Peter Guerra, Julia Cadrin-Tourigny and 7 more

Abstract read
In one paragraph

Article in NPJ genomic medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. Shared genetic architecture of brain age gap across 30 cohorts worldwide.medRxiv : the preprint server for health sciences · 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

17 authors.

Paloma JordàMontreal Heart Institute, and Faculty of Medicine, Université de Montréal, Montreal, Québec, Canada. pjorda.girona.ics@gencat.cat.ORCID http://orcid.org/0000-0002-9236-1713
Yiwei LaiMontreal Heart Institute, and Faculty of Medicine, Université de Montréal, Montreal, Québec, Canada.
Amélie JeukenMontreal Heart Institute, and Faculty of Medicine, Université de Montréal, Montreal, Québec, Canada.
Louis-Philippe Lemieux PerreaultMontreal Heart Institute, and Faculty of Medicine, Université de Montréal, Montreal, Québec, Canada.ORCID http://orcid.org/0000-0001-7423-0958
Elisabeth GouletMontreal Heart Institute, and Faculty of Medicine, Université de Montréal, Montreal, Québec, Canada.
Najim LahrouchiDepartment of Experimental Cardiology, Heart Center, Amsterdam Cardiovascular Sciences, University of Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.
Anna NozzaMontreal Health Innovations Coordinating Center, Montreal, Québec, Canada.
Michael W TanckDepartment of Experimental Cardiology, Heart Center, Amsterdam Cardiovascular Sciences, University of Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.
Peter GuerraMontreal Heart Institute, and Faculty of Medicine, Université de Montréal, Montreal, Québec, Canada.
Julia Cadrin-TourignyMontreal Heart Institute, and Faculty of Medicine, Université de Montréal, Montreal, Québec, Canada.
Simon de DenusMontreal Heart Institute, and Faculty of Pharmacy, Université de Montréal, Montreal, Québec, Canada.
Connie R BezzinaDepartment of Experimental Cardiology, Heart Center, Amsterdam Cardiovascular Sciences, University of Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.
Guillaume LettreMontreal Heart Institute, and Faculty of Medicine, Université de Montréal, Montreal, Québec, Canada.
David BusseuilMontreal Heart Institute, and Faculty of Medicine, Université de Montréal, Montreal, Québec, Canada.
Marie-Pierre DubéMontreal Heart Institute, and Faculty of Medicine, Université de Montréal, Montreal, Québec, Canada.ORCID http://orcid.org/0000-0001-8442-4393
Jean-Claude TardifMontreal Heart Institute, and Faculty of Medicine, Université de Montréal, Montreal, Québec, Canada.ORCID http://orcid.org/0000-0002-8200-8983
Rafik TadrosMontreal Heart Institute, and Faculty of Medicine, Université de Montréal, Montreal, Québec, Canada. rafik.tadros@umontreal.ca.ORCID http://orcid.org/0000-0002-1472-0258

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Common genetic variation detected by genome-wide association studies (GWAS) partially explains variability in the spectrum of cardiac phenotypes. In this work, we explore genetic correlations among 58 cardiac-related traits/diseases, detecting novel ones. We subsequently employ multi-trait analysis of GWAS (MTAG), which meta-analyzes genetically correlated traits, to improve genomic loci discovery and prediction in atrial fibrillation (AF), coronary artery disease (CAD), and heart failure (HF). We identify 19 novel loci specific for AF, 131 for CAD, and 141 for HF. Polygenic scores (PGS) in 15,177 Canadian individuals show similar results when PGS are derived from conventional GWAS versus MTAG summary statistics, although MTAG-PGS improve prediction and discrimination of CAD in females [∆R

Identifiers

PMID41022758
PMCPMC12480102

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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 OpenQuestion graph.