Evidence map›Paper›PMID 40369171›Full record

ReviewCurrent cardiology reports2025

Polygenic Risk Scores in Dilated Cardiomyopathy: Towards the Future.

Daria R Kramarenko, Sean J Jurgens, Yigal M Pinto, Connie R Bezzina, Ahmad S Amin

Abstract readReview
In one paragraph

Review in Current cardiology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Daria R KramarenkoDepartment of Experimental Cardiology, Amsterdam Cardiovascular Sciences, Heart Failure & Arrhythmias, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands.
Sean J JurgensDepartment of Experimental Cardiology, Amsterdam Cardiovascular Sciences, Heart Failure & Arrhythmias, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands.
Yigal M PintoDepartment of Experimental Cardiology, Amsterdam Cardiovascular Sciences, Heart Failure & Arrhythmias, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands.
Connie R BezzinaDepartment of Experimental Cardiology, Amsterdam Cardiovascular Sciences, Heart Failure & Arrhythmias, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands.
Ahmad S AminDepartment of Experimental Cardiology, Amsterdam Cardiovascular Sciences, Heart Failure & Arrhythmias, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands. a.s.amin@amsterdamumc.nl.

Funding

Dutch Heart Foundation 03-007-2022-0035Dutch Heart Foundation CVON 2018-30 PREDICT2
6 · The paper itself

Abstract

purpose of reviewGenome-wide association studies (GWASs) have recently shown that common genetic variations significantly affect the risk of developing dilated cardiomyopathy (DCM). This has enabled the development of polygenic scores (PGSs), which aim to aggregate the impact of multiple common genetic variants across the genome to provide an overall genetic risk score for disease manifestation and disease severity. In this review, we discuss the latest findings pertaining to GWASs and PGSs for DCM and various ways in which PGSs could improve the management of patients with DCM or risk of developing DCM. RECENT

findingsIn 2024 the two largest GWAS meta-analyses for DCM were published. Notably, both studies produced PGSs that were able to discriminate healthy subjects from DCM patients which brings promise for potential clinical application of the scores. Large-scale GWAS have identified common genetic variants associated with DCM, leading to the development of PGS, which show strong associations with disease risk and hold potential for clinical applications. However, before clinical implementation, further research is needed to explore their utility in real-world settings and across diverse populations.

Indexed as

Cardiomyopathy, DilatedGenetic Predisposition to DiseaseMultifactorial InheritanceGenetic Risk ScoreGenome-Wide Association StudyHumansRisk AssessmentRisk FactorsCardiomyopathyDCMGWASPGSPRS

Identifiers

PMID40369171
PMCPMC12078399

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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.