Whole-Exome Sequencing Revealed New Candidate Genes for Human Dilated Cardiomyopathy.
Ylenia D'AgostinoDomenico PalumboMaria Rosaria RuscianoOriana StrianeseSonia AmabileDomenico Di RosaElena De AngelisValeria ViscoFabio RussoElena AlexandrovaAnnamaria SalvatiGiorgio GiuratoGiovanni NassaRoberta TaralloGennaro GalassoMichele CiccarelliAlessandro WeiszFrancesca RizzoPublished in: Diagnostics (Basel, Switzerland) (2022)
Dilated cardiomyopathy (DCM) is a complex disease affecting young adults. It is a pathological condition impairing myocardium activity that leads to heart failure and, in the most severe cases, transplantation, which is currently the only possible therapy for the disease. DCM can be attributed to many genetic determinants interacting with environmental factors, resulting in a highly variable phenotype. Due to this complexity, the early identification of causative gene mutations is an important goal to provide a genetic diagnosis, implement pre-symptomatic interventions, and predict prognosis. The advent of next-generation sequencing (NGS) has opened a new path for mutation screening, and exome sequencing provides a promising approach for identifying causal variants in known genes and novel disease-associated candidates. We analyzed the whole-exome sequencing (WES) of 15 patients affected by DCM without overloading (hypertension, valvular, or congenital heart disease) or chronic ischemic conditions. We identified 70 pathogenic or likely pathogenic variants and 1240 variants of uncertain clinical significance. Gene ontology enrichment analysis was performed to assess the potential connections between affected genes and biological or molecular function, identifying genes directly related to extracellular matrix organization, transcellular movement through the solute carrier and ATP-binding cassette transporter, and vitamin B12 metabolism. We found variants in genes implicated to a different extent in cardiac function that may represent new players in the complex genetic scenario of DCM.
Keyphrases
- copy number
- genome wide
- dna methylation
- extracellular matrix
- congenital heart disease
- bioinformatics analysis
- heart failure
- genome wide identification
- young adults
- newly diagnosed
- blood pressure
- atrial fibrillation
- end stage renal disease
- single cell
- endothelial cells
- ejection fraction
- early onset
- stem cells
- genome wide analysis
- transcription factor
- climate change
- mesenchymal stem cells
- risk assessment
- protein kinase
- drug induced
- gene expression
- bone marrow
- circulating tumor cells
- acute heart failure
- aortic valve
- data analysis
- dna binding