Evidence map›Paper›PMID 42596595›Full record

ArticleClinical genetics2026

Genetic Architecture of Pediatric Cardiomyopathies Assessed by Whole-Exome Sequencing: Insights Into Early-Onset and Syndromic Forms.

Luana Giovannangeli, Elise Daire, Kahia Messaoudi, Didier Herent, Nathalie Desjeux, Emilie Lacot-Leriche, Sarah Sauval, Sabine Dirani, Pascal De Groote, Didier Klug and 9 more

Abstract read
In one paragraph

Article in Clinical genetics, 2026. 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

19 authors.

Luana GiovannangeliLaboratoire de Génétique Constitutionnelle, CHU Amiens-Picardie, Amiens, France.ORCID https://orcid.org/0009-0006-8125-9816
Elise DaireService de Cardiologie et Pneumo allergologie pédiatriques, CHU Amiens-Picardie, Amiens, France.ORCID https://orcid.org/0009-0006-1432-7647
Kahia MessaoudiLaboratoire de Génétique Constitutionnelle, CHU Amiens-Picardie, Amiens, France.
Didier HerentLaboratoire de Génétique Constitutionnelle, CHU Amiens-Picardie, Amiens, France.
Nathalie DesjeuxLaboratoire de Génétique Constitutionnelle, CHU Amiens-Picardie, Amiens, France.
Emilie Lacot-LericheService de Génétique Clinique, CHU Amiens-Picardie, Amiens, France.ORCID https://orcid.org/0000-0002-1427-3910
Sarah SauvalLaboratoire de Génétique Constitutionnelle, CHU Amiens-Picardie, Amiens, France.ORCID https://orcid.org/0009-0002-0068-1478
Sabine DiraniService de Cardiologie et Pneumo allergologie pédiatriques, CHU Amiens-Picardie, Amiens, France.
Pascal De GrooteService de Cardiologie, CHU de Lille, Lille, France.ORCID https://orcid.org/0000-0002-6211-0147
Didier KlugService de Cardiologie, CHU de Lille, Lille, France.
Jean-Benoit BaudeletService de Cardiologie infantile et congénitale, CHU de Lille, Lille, France.ORCID https://orcid.org/0000-0001-9034-3995
Alexandre DelarueService de Cardiologie infantile et congénitale, CHU de Lille, Lille, France.ORCID https://orcid.org/0000-0002-1968-7848
Olivia DomanskiService de Cardiologie infantile et congénitale, CHU de Lille, Lille, France.ORCID https://orcid.org/0000-0002-1048-7081
Pierre-Alexandre FontangesService de Cardiologie infantile et congénitale, CHU de Lille, Lille, France.
Jamal GhoumidClinique de Génétique Guy Fontaine, Lille, France.ORCID https://orcid.org/0000-0002-7111-0050
Luisa MarsiliClinique de Génétique Guy Fontaine, Lille, France.ORCID https://orcid.org/0000-0002-6691-541X
Alexis HermidaUR4666 HEMATIM, équipe CARDIOMICS, Centre Universitaire de Recherche en Santé, Université de Picardie Jules Verne, Amiens, France.
Florence JobicService de Génétique Clinique, CHU Amiens-Picardie, Amiens, France.ORCID https://orcid.org/0000-0003-4490-8224
Guillaume JedraszakLaboratoire de Génétique Constitutionnelle, CHU Amiens-Picardie, Amiens, France.ORCID https://orcid.org/0000-0002-5704-6830

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric cardiomyopathies (CM) are rare and heterogeneous heart disorders, including hypertrophic, dilated, restrictive, arrhythmogenic, and non-dilated CM. While their genetic basis is well characterized in adults, it remains less clearly defined in children particularly in early-onset apparently isolated and syndromic forms. We conducted a retrospective study (2018-2024) of 59 pediatric patients who underwent Whole-Exome Sequencing (WES) for CM at Amiens and Lille University Hospitals, aiming to characterize the genetic architecture of pediatric CM. WES identified at least one Variant Of Interest (VOI) in 62.7% of patients (37/59), including 45.8% (27/59) of P/LP variants, and 16.9% (10/59) of VUS. VOI identification yields for HCM and DCM were respectively 67.7% and 57.1%. Yield was higher in patients diagnosed before 1 year of age compared with those diagnosed later (72.7% vs. 56.7%). Variants were identified in classical CM genes, including sarcomeric genes, but also in less typical and syndromic genes. Among patients diagnosed before 6 months, 55% carried a variant in genes associated with syndromic cardiomyopathy, including cases with initially isolated cardiac phenotypes. These findings support the use of WES as a first-line approach in pediatric CM and highlight the contribution of complex and syndromic genetic architectures to early-onset and severe diseases.

Indexed as

CardiomyopathiesExome SequencingGenetic Predisposition to DiseaseAdolescentAge of OnsetChildChild, PreschoolFemaleHumansInfantMaleMutationPhenotypeRetrospective Studiescardiomyopathypediatricsretrospective cohort studywhole exome sequencing

Identifiers

PMID42596595
PMCPMC13631087

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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.