A case report of a patient with neurodevelopmental disorder with impaired speech and hyperkinetic movements: A biallelic variant in the ZNF142 gene.
Derya KayaCanan Ceylan KöseMehmet Berkay AkcanFatma SilanPublished in: American journal of medical genetics. Part A (2024)
Biallelic pathogenic variations in the zinc finger protein 142 (ZNF142) gene are associated with neurodevelopmental disorder with impaired speech and hyperkinetic movements (NEDISHM). This disorder is characterized by developmental delay, intellectual disability, speech delay, and movement disorders such as dystonia, tremor, ataxia, and chorea. Here, we report a patient who exhibited common neurological features and rarely reported brain MRI findings. Exome sequencing identified a novel biallelic variant in ZNF142 (c.3528_3529delTG; p.C1176fs*5 (NM_001105537.4)). NEDISHM was first described by Khan et al. (2019) and has been reported in 39 patients to date. Furthermore, upon reviewing our in-house data covering 750 individuals, we identified three different pathogenic ZNF142 variants. It appears that the frequency of ZNF142 alleles is not as low as initially thought, suggesting that this gene should be included in new generation sequencing panels for similar clinical scenarios. Our goal is to compile and expand upon the clinical features observed in NEDISHM, providing novel insights and presenting a new variant to the literature. We also aim to demonstrate that ZNF142 pathogenic variants should be considered in neurodevelopmental diseases.
Keyphrases
- intellectual disability
- copy number
- autism spectrum disorder
- case report
- genome wide
- end stage renal disease
- deep brain stimulation
- single cell
- magnetic resonance imaging
- systematic review
- chronic kidney disease
- climate change
- early onset
- ejection fraction
- newly diagnosed
- prognostic factors
- photodynamic therapy
- electronic health record
- congenital heart disease
- gene expression
- cerebral ischemia
- blood brain barrier
- white matter
- transcription factor
- resting state
- diffusion weighted imaging