Evidence map›Paper›PMID 42230622›Full record

ArticleNPJ genomic medicine2026

Assessing the contribution of rare variants to congenital heart disease through a large-scale case-control exome study.

Enrique Audain, Anna Wilsdon, Gregor Dombrowsky, Alejandro Sifrim, Jeroen Breckpot, Yasset Perez-Riverol, Siobhan Loughna, Allan Daly, Pavlos Antoniou, Philipp Hofmann and 17 more

Abstract read
In one paragraph

Article in NPJ genomic medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Current and future diagnostics of congenital heart disease (CHD).Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2025
    Article
  4. 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

27 authors.

Enrique Audain *Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital of Schleswig-Holstein, Kiel, Germany.
Anna Wilsdon *School of Life Sciences, University of Nottingham, University Park, Nottingham, UK.
Gregor DombrowskyDepartment of Congenital Heart Disease and Pediatric Cardiology, University Hospital of Schleswig-Holstein, Kiel, Germany.
Alejandro SifrimDepartment of Human Genetics, KU Leuven, University of Leuven, Leuven, Belgium.
Jeroen BreckpotDepartment of Human Genetics, KU Leuven, University of Leuven, Leuven, Belgium.
Yasset Perez-RiverolEuropean Bioinformatics Institute (EBI), Wellcome Trust Genome Campus, Cambridge, UK.
Siobhan LoughnaSchool of Life Sciences, University of Nottingham, University Park, Nottingham, UK.
Allan DalyWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
Pavlos AntoniouWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
Philipp HofmannDepartment of Congenital Heart Disease and Pediatric Cardiology, University Hospital of Schleswig-Holstein, Kiel, Germany.
Amilcar Perez-RiverolInstitute for Medical Genetics, Oldenburg, Germany.
Anne-Karin KahlertDepartment of Congenital Heart Disease and Pediatric Cardiology, University Hospital of Schleswig-Holstein, Kiel, Germany.
Ulrike BauerCompetence Network for Congenital Heart Defects, Berlin, Germany.
Thomas PickardtCompetence Network for Congenital Heart Defects, Berlin, Germany.
Sabine KlaassenExperimental and Clinical Research Center (ECRC), Charité - Universitätsmedizin Berlin and Max Delbrück Center, Berlin, Germany.
Felix BergerDeparment of Congenital Heart Disease-Pediatric Cardiology, Deutsches Herzzentrum der Charité, Berlin, Germany.
Ingo DaehnertDepartment of Pediatric Cardiology and Congenital Heart Disease, Heart Center, University of Leipzig, Leipzig, Germany.
Sven DittrichDepartment of Pediatric Cardiology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Brigitte StillerDepartment of Congenital Heart Disease and Pediatric Cardiology, University Heart Center Freiburg-Bad Krozingen, Freiburg, Germany.
Hashim Abdul-KhaliqDepartment of pediatric Cardiology, Saarland University Hospital, Homburg, Germany.
Frances Bu'lockCongenital and Paediatric Cardiology, East Midlands Congenital Heart Centre, Glenfield Hospital, University of Leicester, Leicester, UK.
Anselm UebingDepartment of Congenital Heart Disease and Pediatric Cardiology, University Hospital of Schleswig-Holstein, Kiel, Germany.
Hans-Heiner KramerDepartment of Congenital Heart Disease and Pediatric Cardiology, University Hospital of Schleswig-Holstein, Kiel, Germany.
Vivek IyerWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
Lars Allan LarsenDepartment of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark.
J David BrookSchool of Life Sciences, University of Nottingham, University Park, Nottingham, UK.
Marc-Phillip HitzDepartment of Congenital Heart Disease and Pediatric Cardiology, University Hospital of Schleswig-Holstein, Kiel, Germany. marc-phillip.hitz@uni-oldenburg.de.

Funding

ERA PerMED 01KU1919
6 · The paper itself

Abstract

Several studies have demonstrated the value of large-scale human exome and genome data analysis to maximise gene discovery in rare diseases. Using this approach, we have analysed the exomes of 4747 cases and 52,881 controls to identify genes which confer a substantial risk of congenital heart disease (CHD). We identified both rare loss-of-function and missense coding variants in 14 genes, which reached genome-wide significance at FDR 5%. Ten genes have been associated with CHD, whereas four genes (PBX1, KAT6B, SHOX2, HCAR1) have not been reported as genome-wide significant so far. We highlight distinct genetic contributions to syndromic and non-syndromic CHD by independently analysing probands from these two groups. In addition, by integrative analysis of exome data with single-cell transcriptomics data from human embryonic hearts, we identified cardiac-specific cells, such as neural crest cells and endothelial cells, as well as putative biological processes underlying the pathogenesis of CHD. In summary, our findings strengthen the association of known CHD genes and have identified additional novel disease genes contributing to the aetiology of CHD.

Identifiers

PMID42230622
PMCPMC13230774

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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.