Background: Hereditary cerebellar ataxias exhibit heterogeneous phenotypes and genotypes. To date, advancement of next-generation sequencing technologies have identified many causative genes for ataxia in various population. In this study, whole-exome sequencing (WES) was utilized to explore the genetic cause of ataxia among Korean patients who remained undiagnosed following routine investigation.
Methods: Patients with ataxia were enrolled in this study. We excluded patients with acquired, degenerative, and trinucleotide repeat ataxias, such as spinocerebellar ataxia 1 (SCA1), SCA2, SCA3, SCA6, SCA7, SCA8, SCA17, Dentatorubral-pallidoluysian atrophy, and Friedreich ataxia. WES was performed. After basic filtering based on population databases, we then performed primary filtering to screen for known ataxia-associated genes, followed by expanded filtering customized for individual patients.
Results: We enrolled 77 ataxia patients from 68 families. Eighteen families had pathogenic or likely pathogenic variants in 14 different genes, including NEU1, APTX, SPG7, HTRA1, POLG2, SYNE1, CACNA1G, CACNA1A, ITPR1, AHI1, SPG11, ANO10, ATM, and C5orf42, resulting in a diagnostic yield of 26.5%. Hereditary spastic paraplegia was the most common diagnosis. Adult-onset ataxias and those without family history were frequently encountered. Variants of unknown significance were found in 14 (20.6%) families, some of which were highly probable from the clinical perspective.
Conclusion: Using WES, we explored the molecular etiology of ataxia in patients whom were not diagnosed through routine clinical investigation. This study revealed unexpected rare disorders as well as the known ataxia-associated genes in a Korean population.
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http://dx.doi.org/10.1016/j.parkreldis.2020.08.040 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Bioelectricity Laboratory, Department of Physiology and Biophysics, School of Medicine, University of California, Irvine, CA 92697.
Loss-of-function sequence variants in , which encodes the voltage-gated potassium channel Kv1.1, cause Episodic Ataxia Type 1 (EA1) and epilepsy. Due to a paucity of drugs that directly rescue mutant Kv1.
View Article and Find Full Text PDFAust Vet J
January 2025
Currumbin Wildlife Sanctuary Hospital, Currumbin, Queensland, Australia.
A wild, adult male pied butcherbird (Cracticus nigrogularis) accidentally ingested 263 mg/kg of oral phenobarbital. Pronounced sedation was observed by 30 mins, followed by altered consciousness, marked ataxia and increased respiratory effort. The serum phenobarbital level on admission to a wildlife hospital was 84.
View Article and Find Full Text PDFHeart Rhythm
January 2025
Department of Molecular Biosciences, University of California, Davis, CA, USA; Department of Basic Sciences, California Northstate University, Elk Grove, CA. Electronic address:
Background: Friedreich's ataxia (FA) is a rare inherited neuromuscular disorder, where most patients die from lethal cardiomyopathy and arrhythmias. Mechanisms leading to arrhythmic events in FA patients are poorly understood.
Objective: This study aims to examine cardiac electrical signal propagation in mouse model of FA with severe cardiomyopathy and evaluate effects of omaveloxolone (OMAV), the first FDA-approved therapy.
Neurobiol Dis
January 2025
Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA. Electronic address:
Spinocerebellar Ataxia Type 8 (SCA8) is an inherited neurodegenerative disease caused by a bidirectionally expressed CTG●CAG expansion mutation in the ATXN-8 and ATXN8-OS genes. While SCA8 patients have motor abnormalities, patients may also exhibit psychiatric symptoms and cognitive dysfunction. It is difficult to elucidate how the disease alters brain function in areas with little or no degeneration producing both motor and cognitive symptoms.
View Article and Find Full Text PDFHum Genet
January 2025
Department of Biomedical Sciences, University of Padova, Padova, Italy.
The Genetics of Neurodevelopmental Disorders Lab in Padua provided a new intellectual disability (ID) Panel challenge for computational methods to predict patient phenotypes and their causal variants in the context of the Critical Assessment of the Genome Interpretation, 6th edition (CAGI6). Eight research teams submitted a total of 30 models to predict phenotypes based on the sequences of 74 genes (VCF format) in 415 pediatric patients affected by Neurodevelopmental Disorders (NDDs). NDDs are clinically and genetically heterogeneous conditions, with onset in infant age.
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