Evidence map›Paper›PMID 39980787›Full record

ArticleEuropean heart journal supplements : journal of the European Society of Cardiology2025

The contemporary role of genetics in cardiovascular medicine: from phenotypes to precision diagnoses.

Mario Urtis, Marilena Tagliani, Davide Bondavalli, Chiara Paganini, Claudia Cavaliere, Viviana Vilardo, Edward Buccieri, Antonio Tescari, Michela Ferrari, Eloisa Arbustini

Abstract read
In one paragraph

Article in European heart journal supplements : journal of the European Society of Cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Mario UrtisScientific Department, Centre for Inherited Cardiovascular Diseases, Fondazione IRCCS Policlinico San Matteo, V.le Golgi 19, Pavia 27100, Italy.ORCID https://orcid.org/0000-0003-3289-9228
Marilena TaglianiScientific Department, Centre for Inherited Cardiovascular Diseases, Fondazione IRCCS Policlinico San Matteo, V.le Golgi 19, Pavia 27100, Italy.ORCID https://orcid.org/0000-0001-8144-8277
Davide BondavalliScientific Department, Centre for Inherited Cardiovascular Diseases, Fondazione IRCCS Policlinico San Matteo, V.le Golgi 19, Pavia 27100, Italy.ORCID https://orcid.org/0000-0002-6986-2552
Chiara PaganiniScientific Department, Centre for Inherited Cardiovascular Diseases, Fondazione IRCCS Policlinico San Matteo, V.le Golgi 19, Pavia 27100, Italy.ORCID https://orcid.org/0000-0003-1709-6339
Claudia CavaliereScientific Department, Centre for Inherited Cardiovascular Diseases, Fondazione IRCCS Policlinico San Matteo, V.le Golgi 19, Pavia 27100, Italy.ORCID https://orcid.org/0009-0000-6189-961X
Viviana VilardoScientific Department, Centre for Inherited Cardiovascular Diseases, Fondazione IRCCS Policlinico San Matteo, V.le Golgi 19, Pavia 27100, Italy.ORCID https://orcid.org/0009-0009-0493-0938
Edward BuccieriScientific Department, Centre for Inherited Cardiovascular Diseases, Fondazione IRCCS Policlinico San Matteo, V.le Golgi 19, Pavia 27100, Italy.
Antonio TescariScientific Department, Centre for Inherited Cardiovascular Diseases, Fondazione IRCCS Policlinico San Matteo, V.le Golgi 19, Pavia 27100, Italy.ORCID https://orcid.org/0009-0008-3297-8085
Michela FerrariScientific Department, Centre for Inherited Cardiovascular Diseases, Fondazione IRCCS Policlinico San Matteo, V.le Golgi 19, Pavia 27100, Italy.ORCID https://orcid.org/0009-0005-6066-2051
Eloisa ArbustiniScientific Department, Centre for Inherited Cardiovascular Diseases, Fondazione IRCCS Policlinico San Matteo, V.le Golgi 19, Pavia 27100, Italy.ORCID https://orcid.org/0000-0003-2948-7994

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnostic work-up of cardiovascular genetic diseases is emerging as a reference model for precision (cause and phenotype) and personalized medicine (tailored individual management). This approach is expanding across all areas of cardiovascular medicine, ranging from monogenic diseases to multifactorial disorders where 'risk factors' such as familial hypercholesterolaemia may play a role in the risk profile. In this context, cardiomyopathies provide an ideal reference because they are monogenic yet genetically heterogeneous diseases, much like many other cardiovascular genetic disorders. In this model, the genetic path starts with deep phenotyping of the patient and relatives and progresses with genetic testing including extensive multigene panels, up to whole-exome sequencing and whole-genome sequencing. Although genetic work-ups are increasingly successful, several unresolved challenges and limitations remain. These include the interpretation and reinterpretation of variants, as many pre-American College of Medical Genetics variants previously classified as likely pathogenic or pathogenic are now recognized as variants of uncertain significance or benign/likely benign; pathogenic variants missed with short-read next generation sequencing (NGS) technologies (e.g. deep intronic variants or Copy Number Variations); gene-specific issues such as pseudogenes and pseudo-exons; and differing interpretations of pathogenicity for the same gene defects by commercial pipelines. Despite widespread NGS-based testing, about half of suspected Mendelian conditions still lack a precise molecular diagnosis. New organizational models are needed to integrate emerging knowledge and innovations incorporating both clinical and genetic data into intelligent platforms that may support shared management pathways.

Indexed as

CardiomyopathyFamilial hypercholesterolaemiaGenetic arteriopathiesGeneticsPulmonary hypertension

Identifiers

PMID39980787
PMCPMC11836717

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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.