ANO10-Related Spinocerebellar Ataxia: MDSGene Systematic Literature Review and a Romani Case Series.

BACKGROUND: Biallelic pathogenic variants in the ANO10 gene cause autosomal recessive progressive ataxia (ATX-ANO10). METHODS: Following the MDSGene protocol, we systematically investigated genotype-phenotype relationships in ATX-ANO10 based on the clinical and genetic data from 82 published and 12 newly identified patients. RESULTS: Most patients (>80%) had loss-of-function (LOF) variants. The most common variant was c.1150_1151del, found in all 29 patients of Romani ancestry, who had a 14-year earlier mean age at onset than patients homozygous for other LOF variants. We identified previously undescribed clinical features of ATX-ANO10 (e.g., facial muscle involvement and strabismus) suggesting the involvement of brainstem pathology, and we propose a diagnostic algorithm that may aid clinical ATX-ANO10 diagnosis. CONCLUSIONS: The early disease onset in patients with c.1150_1151del may indicate the existence of genetic/environmental disease-modifying factors in the Romani population. Our findings will inform patient counseling and may improve our understanding of the disease mechanism. © 2024 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Prodromal X-Linked Dystonia-Parkinsonism is Characterized by a Subclinical Motor Phenotype.

BACKGROUND: Early diagnosis in patients with neurodegenerative disorders is crucial to initiate disease-modifying therapies at a time point where progressive neurodegeneration can still be modified. OBJECTIVES: The objective of this study was to determine whether motor or non-motor signs of the disease occur as indicators of a prodromal phase of X-linked dystonia-parkinsonism (XDP), a highly-penetrant monogenic movement disorder with striking basal ganglia pathology. METHODS: In addition to a comprehensive clinical assessment, sensor-based balance and gait analyses were performed in non-manifesting mutation carriers (NMCs), healthy controls (HCs), and patients with XDP. Gradient-boosted trees (GBT) methodology was utilized to classify groups of interest. RESULTS: There were no clinically overt disease manifestations in the NMCs. Balance analysis, however, revealed a classification accuracy of 90% for the comparison of NMC versus HC. For the gait analysis, the best-performing GBT-based model showed a balanced accuracy of 95% (NMC vs. HC; walking at maximum speed). Using a separate analysis of genetic modifiers, several gait parameters correlated strongly with the estimated age at disease onset in the NMC group. CONCLUSIONS: Our study unraveled balance and gait abnormalities in NMCs that preceded the onset of XDP. These findings demonstrate prodromal motor changes among NMCs who will develop XDP with a very high likelihood in the future. Gait abnormalities had a predictive value for the estimated age at onset highlighting the impact of genetic modifiers in personalized treatment in monogenic neurodegenerative disorders. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Elucidating Hexanucleotide Repeat Number and Methylation within the X-Linked Dystonia-Parkinsonism (XDP)-Related SVA Retrotransposon in TAF1 with Nanopore Sequencing.

BACKGROUND: X-linked dystonia-parkinsonism (XDP) is an adult-onset neurodegenerative disorder characterized by progressive dystonia and parkinsonism. It is caused by a SINE-VNTR-Alu (SVA) retrotransposon insertion in the TAF1 gene with a polymorphic (CCCTCT)n domain that acts as a genetic modifier of disease onset and expressivity. METHODS: Herein, we used Nanopore sequencing to investigate SVA genetic variability and methylation. We used blood-derived DNA from 96 XDP patients for amplicon-based deep Nanopore sequencing and validated it with fragment analysis which was performed using fluorescence-based PCR. To detect methylation from blood- and brain-derived DNA, we used a Cas9-targeted approach. RESULTS: High concordance was observed for hexanucleotide repeat numbers detected with Nanopore sequencing and fragment analysis. Within the SVA locus, there was no difference in genetic variability other than variations of the repeat motif between patients. We detected high CpG methylation frequency (MF) of the SVA and flanking regions (mean MF = 0.94, SD = ±0.12). Our preliminary results suggest only subtle differences between the XDP patient and the control in predicted enhancer sites directly flanking the SVA locus. CONCLUSIONS: Nanopore sequencing can reliably detect SVA hexanucleotide repeat numbers, methylation and, lastly, variation in the repeat motif.