A Reassessment of Copy Number Variations in Congenital Heart Defects: Picturing the Whole Genome.
Ilse MeerschautSarah VergultAnnelies DheedeneBjörn MentenKatya De GrooteHans De WildeLaura Muiño MosqueraJoseph PanzerKristof VandekerckhovePaul J CouckeDaniël De WolfBert CallewaertPublished in: Genes (2021)
Copy number variations (CNVs) can modulate phenotypes by affecting protein-coding sequences directly or through interference of gene expression. Recent studies in cancer and limb defects pinpointed the relevance of non-coding gene regulatory elements such as long non-coding RNAs (lncRNAs) and topologically associated domain (TAD)-related gene-enhancer interactions. The contribution of such non-coding elements is largely unexplored in congenital heart defects (CHD). We performed a retrospective analysis of CNVs reported in a cohort of 270 CHD patients. We reviewed the diagnostic yield of pathogenic CNVs, and performed a comprehensive reassessment of 138 CNVs of unknown significance (CNV-US), evaluating protein-coding genes, lncRNA genes, and potential interferences with TAD-related gene-enhancer interactions. Fifty-two of the 138 CNV-US may relate to CHD, revealing three candidate CHD regions, 19 candidate CHD genes, 80 lncRNA genes of interest, and six potentially CHD-related TAD interferences. Our study thus indicates a potential relevance of non-coding gene regulatory elements in CNV-related CHD pathogenesis. Shortcomings in our current knowledge on genomic variation call for continuous reporting of CNV-US in international databases, careful patient counseling, and additional functional studies to confirm these preliminary findings.
Keyphrases
- copy number
- genome wide
- mitochondrial dna
- dna methylation
- genome wide identification
- long non coding rna
- gene expression
- binding protein
- transcription factor
- genome wide analysis
- poor prognosis
- end stage renal disease
- squamous cell carcinoma
- emergency department
- ejection fraction
- amino acid
- drug induced
- deep learning
- long noncoding rna
- electronic health record
- peritoneal dialysis
- human health
- big data
- hiv infected
- patient reported