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

Area of Science:

• Genomics
• Molecular Biology
• Cardiovascular Research

Background:

• Copy number variants (CNVs) are implicated in 3-10% of congenital heart disease (CHD) cases.
• Current diagnostic approaches primarily focus on protein-coding genes, neglecting the role of long noncoding RNAs (lncRNAs).
• lncRNAs are crucial regulators in developmental and disease processes.

Purpose of the Study:

• To systematically analyze lncRNAs within CNVs in patients with CHD.
• To identify lncRNAs potentially involved in heart development and CHD pathogenesis.
• To highlight the significance of noncoding regions in cardiovascular disease.

Main Methods:

• Analysis of lncRNAs overlapping clinically validated CNVs in 743 CHD patients.
• Construction of a gene regulatory network using weighted gene coexpression network analysis (WGCNA).
• Functional enrichment and network analyses to identify candidate lncRNAs.

Main Results:

• Identified 18 lncRNA candidate genes within modules correlated with heart tissue expression.
• Found that 68.8% of CNVs contained a heart-expressed lncRNA, compared to only 7.6% affecting known CHD genes.
• Highlighted specific lncRNAs (e.g., lnc-STK32C-3, lnc-TBX20-1, CRMA) strongly associated with known CHD genes.

Conclusions:

• CNV-associated lncRNAs are identified as potentially relevant to CHD pathogenesis.
• lncRNAs may play a more significant role in CHD than previously understood.
• Expanded genomic analyses beyond protein-coding genes are crucial for CHD research and diagnosis.