A Comprehensive Analysis of Non-Desmosomal Rare Genetic Variants in Arrhythmogenic Cardiomyopathy: Integrating in Padua Cohort Literature-Derived Data.
Maria Bueno MarinasMarco CasonRiccardo BarianiRudy CeleghinMonica De GaspariSerena PinciAlberto CiprianiIlaria RigatoAlessandro ZorziStefania RizzoGaetano ThieneMartina Perazzolo MarraDomenico CorradoCristina BassoBarbara BauceKalliopi PilichouPublished in: International journal of molecular sciences (2024)
Arrhythmogenic cardiomyopathy (ACM) is an inherited myocardial disease at risk of sudden death. Genetic testing impacts greatly in ACM diagnosis, but gene-disease associations have yet to be determined for the increasing number of genes included in clinical panels. Genetic variants evaluation was undertaken for the most relevant non-desmosomal disease genes. We retrospectively studied 320 unrelated Italian ACM patients, including 243 cases with predominant right-ventricular (ARVC) and 77 cases with predominant left-ventricular (ALVC) involvement, who did not carry pathogenic/likely pathogenic (P/LP) variants in desmosome-coding genes. The aim was to assess rare genetic variants in transmembrane protein 43 ( TMEM43 ), desmin ( DES ), phospholamban ( PLN ), filamin c ( FLNC ), cadherin 2 ( CDH2 ), and tight junction protein 1 ( TJP1 ), based on current adjudication guidelines and reappraisal on reported literature data. Thirty-five rare genetic variants, including 23 (64%) P/LP, were identified in 39 patients (16/243 ARVC; 23/77 ALVC): 22 FLNC , 9 DES , 2 TMEM43 , and 2 CDH2 . No P/LP variants were found in PLN and TJP1 genes. Gene-based burden analysis, including P/LP variants reported in literature, showed significant enrichment for TMEM43 (3.79-fold), DES (10.31-fold), PLN (117.8-fold) and FLNC (107-fold). A non-desmosomal rare genetic variant is found in a minority of ARVC patients but in about one third of ALVC patients; as such, clinical decision-making should be driven by genes with robust evidence. More than two thirds of non-desmosomal P/LP variants occur in FLNC.
Keyphrases
- end stage renal disease
- genome wide
- newly diagnosed
- ejection fraction
- copy number
- left ventricular
- heart failure
- chronic kidney disease
- systematic review
- peritoneal dialysis
- prognostic factors
- gene expression
- genome wide identification
- machine learning
- patient reported outcomes
- coronary artery disease
- big data
- artificial intelligence
- genome wide analysis
- amino acid
- aortic stenosis
- patient reported
- acute myocardial infarction
- atrial fibrillation
- clinical evaluation