Application of a custom NGS gene panel revealed a high diagnostic utility for molecular testing of hereditary ataxias

Genetic Homogeneity of a TDP1 Variant, c.1478A>G, as the Main Disease-Causing Variant of Spinocerebellar Ataxia With Axonal Neuropathy 1 (SCAN1) in the Middle East: A Systematic Review

BACKGROUND

Spinocerebellar ataxia with axonal neuropathy 1 (SCAN1) is an ultrarare neurodegenerative disorder inherited in an autosomal recessive manner, mainly marked by progressive ataxia and axonal polyneuropathy. SCAN1 is mainly caused by the c.1478A>G:p.His493Arg mutation in the TDP1 gene. In this study, we present the first Iranian family, and the fifth family totally, diagnosed with the SCAN1, which carries the common variant c.1478A>G. Additionally, we conducted a systematic review to identify all reported probably disease-related variants of TDP1.

METHODS

Whole exome sequencing was performed on the proband, who was initially diagnosed with axonal neuropathy. The data were analyzed, and the variant was confirmed via Sanger sequencing. Cosegregation analysis was used to validate the variant within the family. Following PRISMA 2020 guidelines, we performed a systematic review using the terms TDP1, tyrosyl-DNA phosphodiesterase, SCAN1, and spinocerebellar ataxia with axonal neuropathy in four major databases.

RESULTS

Whole exome sequencing results identified the known TDP1:c.1478A>G variant, which correlated with the disease status in the family. Clinical and paraclinical findings were consistent with SCAN1. Our systematic review identified 16 variants in 20 families associated with various neurological or non-neurological disorders. Among these families, four were SCAN1. Although four of five families with SCAN1, including our family, shared the same TDP1 variant, c.1478A>G, they exhibited some clinical heterogeneity.

CONCLUSIONS

Given that all these cases were from the Middle East, we suggested this mutation may be a founder mutation in this region. Since only a few families with SCAN1 have been reported, further research is needed to fully understand this disorder.

Diagnosis of hereditary ataxias: a real-world single center experience

OBJECTIVE

This study aims to evaluate our experience in the diagnosis of hereditary ataxias (HAs), to analyze data from a real-world scenario.

STUDY DESIGN

This is a retrospective, cross-sectional, descriptive study conducted at a single Italian adult neurogenetic outpatient clinic, in 147 patients affected by ataxia with a suspicion of hereditary forms, recruited from November 1999 to February 2024. A stepwise approach for molecular diagnostics was applied: targeted gene panel (TP) next-generation sequencing (NGS) and/or clinical exome sequencing (CES) were performed in the case of inconclusive first-line genetic testing, such as short tandem repeat expansions (TREs) testing for most common spinocerebellar ataxias (SCA1-3, 6-8,12,17, DRPLA), other forms [Fragile X-associated tremor/ataxia syndrome (FXTAS), Friedreich ataxia (FRDA) and mitochondrial DNA-related ataxia, RFC1-related ataxia/CANVAS] or inconclusive phenotype-guided specific single gene sequencing.

RESULT

A definitive diagnosis was reached in 36.7% of the cases. TREs testing was diagnostic in 30.4% of patients. The three most common TREs ataxias were FRDA (36.1%), SCA2 (27.8%), and RFC1-related ataxia/CANVAS (11.1%). In five patients, the molecular diagnosis was achieved by single gene sequencing and causative mutations were identified in POLG (2), SACS (1), DARS2 (1), MT-ATP6 (1). Of 94 patients with a suspicion of HAs of indeterminate genetic origin, 68 underwent new molecular evaluation using the NGS approach. In 28 of these cases, CES was performed after the TP sequencing resulted negative. In 13 patients, the diagnosis was achieved by NGS approach. In 7 of these 13 patients, the diagnosis was made by CES. Genes mutations identified as causative of HAs were found in SPG7 (4), SACS (1), CACNA1A (1), CACNA1G (1), EEF2 (1), PRKCG (1), KCNC3 (1), ADCK3 (1), SYNE1 (1), ITPR1 (1). A positive family history of ataxia and early onset of symptoms were associated with a higher likelihood of obtaining a definite diagnosis.

CONCLUSION

The molecular diagnosis of HAs remains a significant challenge for neurologists. Our data indicate that, in most cases, a diagnosis of HA can be established through first line genetic testing, particularly TREs testing. However, for patients with a clinical diagnosis of HA who do not achieve a molecular diagnosis through initial genetic tests, the use of NGS proves to be a valuable tool, providing a definitive diagnosis in approximately 20% of cases. Therefore, when feasible in clinical practice, integrating NGS testing, especially exome sequencing, into the diagnostic decision-making process for unsolved cases is crucial.

Disease-associated mutations in C-terminus of HSP70 interacting protein (CHIP) impair its ability to negatively regulate mitophagy

C-terminus of HSP70 interacting protein (CHIP) is an E3 ubiquitin ligase and HSP70 cochaperone. Mutations in the CHIP encoding gene are the cause of two neurodegenerative conditions: spinocerebellar ataxia autosomal dominant type 48 (SCA48) and autosomal recessive type 16 (SCAR16). The mechanisms underlying CHIP-associated diseases are currently unknown. Mitochondrial dysfunction, specifically dysfunction in mitochondrial autophagy (mitophagy), is increasingly implicated in neurodegenerative diseases and loss of CHIP has been demonstrated to result in mitochondrial dysfunction in multiple animal models, although how CHIP is involved in mitophagy regulation has been previously unknown. Here, we demonstrate that CHIP acts as a negative regulator of the PTEN-induced kinase 1 (PINK1)/Parkin-mediated mitophagy pathway, promoting the degradation of PINK1, impairing Parkin translocation to the mitochondria, and suppressing mitophagy in response to mitochondrial stress. We also show that loss of CHIP enhances neuronal mitophagy in a PINK1 and Parkin dependent manner in Caenorhabditis elegans. Furthermore, we find that multiple disease-associated mutations in CHIP dysregulate mitophagy both in vitro and in vivo in C. elegans neurons, a finding which could implicate mitophagy dysregulation in CHIP-associated diseases.

Diagnostic Yield of NGS Tests for Hereditary Ataxia: a Systematic Review

Next-generation sequencing (NGS), comprising targeted panels (TP), exome sequencing (ES), and genome sequencing (GS) became robust clinical tools for diagnosing hereditary ataxia (HA). Determining their diagnostic yield (DY) is crucial for optimal clinical decision-making. We conducted a comprehensive systematic literature review on the DY of NGS tests for HA. We searched PubMed and Embase databases for relevant studies between 2016 and 2022 and manually examined reference lists of relevant reviews. Eligible studies described the DY of NGS tests in patients with ataxia as a significant feature. Data from 33 eligible studies showed a median DY of 43% (IQR = 9.5-100%). The median DY for TP and ES was 46% and 41.9%, respectively. Higher DY was associated with specific phenotype selection, such as episodic ataxia at 68.35% and early and late onset of ataxia at 46.4% and 54.4%. Parental consanguinity had a DY of 52.4% (p = 0.009), and the presumed autosomal recessive (AR) inheritance pattern showed 62.5%. There was a difference between the median DY of studies that performed targeted sequencing (tandem repeat expansion, TRE) screening and those that did not (p = 0.047). A weak inverse correlation was found between DY and the extent of previous genetic investigation (rho = - 0.323; p = 0.065). The most common genes were CACNA1A and SACS. DY was higher for presumed AR inheritance pattern, positive family history, and parental consanguinity. ES appears more advantageous due to the inclusion of rare genes that might be excluded in TP.

Genetic Testing of Movements Disorders: A Review of Clinical Utility

Currently, pathogenic variants in more than 500 different genes are known to cause various movement disorders. The increasing accessibility and reducing cost of genetic testing has resulted in increasing clinical use of genetic testing for the diagnosis of movement disorders. However, the optimal use case(s) for genetic testing at a patient level remain ill-defined. Here, we review the utility of genetic testing in patients with movement disorders and also highlight current challenges and limitations that need to be considered when making decisions about genetic testing in clinical practice.

Highlights

The utility of genetic testing extends across multiple clinical and non-clinical domains. Here we review different aspects of the utility of genetic testing for movement disorders and the numerous associated challenges and limitations. These factors should be weighed on a case-by-case basis when requesting genetic tests in clinical practice.

Genotype-phenotype relations for episodic ataxia genes: MDSGene systematic review

BACKGROUND

Most episodic ataxias (EA) are autosomal dominantly inherited and characterized by recurrent attacks of ataxia and other paroxysmal and non-paroxysmal features. EA is often caused by pathogenic variants in the CACNA1A, KCNA1, PDHA1, and SLC1A3 genes, listed as paroxysmal movement disorders (PxMD) by the MDS Task Force on the Nomenclature of Genetic Movement Disorders. Little is known about the genotype-phenotype correlation of the different genetic EA forms.

METHODS

We performed a systematic review of the literature to identify individuals affected by an episodic movement disorder harboring pathogenic variants in one of the four genes. We applied the standardized MDSGene literature search and data extraction protocol to summarize the clinical and genetic features. All data are available via the MDSGene protocol and platform on the MDSGene website (https://www.mdsgene.org/).

RESULTS

Information on 717 patients (CACNA1A: 491, KCNA1: 125, PDHA1: 90, and SLC1A3: 11) carrying 287 different pathogenic variants from 229 papers was identified and summarized. We show the profound phenotypic variability and overlap leading to the absence of frank genotype-phenotype correlation aside from a few key 'red flags'.

CONCLUSION

Given this overlap, a broad approach to genetic testing using a panel or whole exome or genome approach is most practical in most circumstances.