Evidence map›Paper›PMID 40079339›Full record

ArticleJournal of the American Heart Association2025

Identification of Long Noncoding RNA Candidate Disease Genes Associated With Clinically Reported Copy Number Variants in Congenital Heart Disease.

Jacqueline S Penaloza, Blythe Moreland, Jeffrey B Gaither, Benjamin J Landis, Stephanie M Ware, Kim L McBride, Peter White, CCVM Consortium

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Jacqueline S PenalozaThe Office of Data Sciences The Abigail Wexner Research Institute Nationwide Children's Hospital Columbus OH USA.ORCID 0000-0003-0056-5434
Blythe MorelandThe Steve and Cindy Rasmussen Institute for Genomic Medicine The Abigail Wexner Research Institute Nationwide Children's Hospital Columbus OH USA.
Jeffrey B GaitherThe Office of Data Sciences The Abigail Wexner Research Institute Nationwide Children's Hospital Columbus OH USA.
Benjamin J LandisDepartment of Pediatrics Indiana University School of Medicine Indianapolis IN USA.ORCID 0000-0001-5837-8581
Stephanie M WareDepartment of Pediatrics Indiana University School of Medicine Indianapolis IN USA.ORCID 0000-0003-4714-0142
Kim L McBrideDepartment of Medical Genetics Cumming School of Medicine University of Calgary Calgary Canada.
Peter WhiteThe Office of Data Sciences The Abigail Wexner Research Institute Nationwide Children's Hospital Columbus OH USA.ORCID 0000-0002-5218-5903
CCVM Consortium

Funding

Computational methods to elucidate the role of long non-coding RNA in Congenital Heart DiseaseF31HL168950 · NHLBI · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI PENALOZA, JACQUELINE STEPHANY · 2023 to 2024
$67k
NHLBI NIH HHS F31 HL168950
6 · The paper itself

Abstract

backgroundCopy number variants (CNVs) contribute to 3% to 10% of isolated congenital heart disease (CHD) cases, yet their pathogenic roles remain unclear. Diagnostic efforts have focused on protein-coding genes, largely overlooking long noncoding RNAs (lncRNAs), which play key roles in development and disease. METHODS AND

resultsWe systematically analyzed lncRNAs overlapping clinically validated CNVs in 743 patients with CHD from the Cytogenomics of Cardiovascular Malformations Consortium. We identified heart-expressed lncRNAs, constructed a gene regulatory network using weighted gene coexpression network analysis, and identified gene modules associated with heart development. Functional enrichment and network analyses were used to identify lncRNAs that may be involved in heart development and potentially contribute to CHD. The code is stably archived at https://doi.org/10.5281/zenodo.13799779. We identified 18 lncRNA candidate genes within modules significantly correlated with heart tissue, highlighting their potential involvement in CHD pathogenesis. Notably, lncRNAs such as

conclusionsUsing weighted gene coexpression network analysis, we identified CNV-associated lncRNAs with potential relevance to CHD, underscoring the complexities of noncoding regions in disease pathogenesis. These findings suggest that lncRNAs may play a greater role in CHD than previously recognized, highlighting the need for broader genomic analyses that extend beyond protein-coding genes. This study provides a foundation for further exploration of lncRNAs in CHD, with potential implications for improved genetic characterization and diagnosis.

Indexed as

DNA Copy Number VariationsHeart Defects, CongenitalRNA, Long NoncodingFemaleGene Regulatory NetworksGenetic Predisposition to DiseaseHumansMaleRNA, Long Noncodingcongenital heart diseasecopy number variantsgenomic regulation in cardiovascular developmentlong noncoding RNAsweighted gene coexpression network analysis

Identifiers

PMID40079339
PMCPMC12132622

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Registered trials

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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.