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Dataset Information

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


ABSTRACT:

Background

Copy 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 results

We 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

SUBMITTER: Penaloza JS 

PROVIDER: S-EPMC12132622 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature