Rare Gene Mutations in Romanian Hypoacusis Patients: Case Series and a Review of the Literature.
Alexandra-Cristina NeaguMagdalena BudișteanuDan-Cristian GheorgheAdela-Ioana MocanuHoria MocanuPublished in: Medicina (Kaunas, Lithuania) (2022)
(1) Background: In this paper, we report on three cases of hypoacusis as part of a complex phenotype and some rare gene variants. An extensive review of literature completes the newly reported clinical and genetic information. (2) Methods: The cases range from 2- to 11-year-old boys, all with a complex clinical picture and hearing impairment. In all cases, whole exome sequencing (WES) was performed, in the first case in association with mitochondrial DNA study. (3) Results: The detected variants were: two heterozygous variants in the TWNK gene, one likely pathogenic and another of uncertain clinical significance (autosomal recessive mitochondrial DNA depletion syndrome type 7-hepatocerebral type); heterozygous variants of uncertain significance PACS2 and SYT2 genes (autosomal dominant early infantile epileptic encephalopathy) and a homozygous variant of uncertain significance in SUCLG1 gene (mitochondrial DNA depletion syndrome 9). Some of these genes have never been previously reported as associated with hearing problems. (4) Conclusions: Our cases bring new insights into some rare genetic syndromes. Although the role of TWNK gene in hearing impairment is clear and accordingly reflected in published literature as well as in the present article, for the presented gene variants, a correlation to hearing problems could not yet be established and requires more scientific data. We consider that further studies are necessary for a better understanding of the role of these variants.
Keyphrases
- copy number
- mitochondrial dna
- genome wide
- dna methylation
- end stage renal disease
- mental health
- chronic kidney disease
- early onset
- systematic review
- ejection fraction
- genome wide identification
- machine learning
- peritoneal dialysis
- case report
- randomized controlled trial
- gene expression
- prognostic factors
- deep learning
- big data
- case control
- patient reported
- bioinformatics analysis