Rare forms of autosomal recessive spinocerebellar ataxia associated with mutations in the ANO10 (ATX-ANO10) and SYNE1 (ATX-SYNE1) genes
Bibliographic record
Abstract
Objective. To analyze clinical and genetic characteristics of patients with the verified rare forms of autosomal recessive spinocerebellar ataxias, ATX-ANO10 and ATX-SYNE1. Material and methods. Six unrelated patients with established diagnoses were examined: 4 patients with ATX-ANO10 and 2 patients with ATX-SYNE1. Brain MRI and nerve conduction study were performed. To screen for cognitive impairment, the scale for the Assessment and Rating of Ataxia (SARA), and the Montreal Cognitive Assessment Scale (MoCA) were used. Mutation screening included panel sequencing on the Illumina MiSeq platform. Results. Six variants were found in the ANO10 gene: the previously described pathogenic nonsense mutations c.G1025A (p.W342X) and c.C1244G (p.S415X), as well as novel probably pathogenic variants c.1477-2A>G and c.G101T (p.W34L) and missense mutations c.A110C (p.N37T) and c.T104C (p.L35P) of undetermined significance. A novel nonsense mutation c.C8911T (p.Q2971X) and a previously described pathogenic variant c.C4939T (p.Q1647X) were found in the SYNE1 gene. The clinical presentation of the ATX-ANO10 and ATX-SYNE1 was typical presenting with slowly progressive cerebellar ataxia with pyramidal signs, with young onset and cerebellar atrophy according to brain MRI study. Conclusion. We provided first-ever data on clinical features and mutation spectrum In Russian patients with ATX-ANO10 and ATX-SYNE1. The phenotype of these ataxias is nonspecific, so the method of choice for molecular diagnostics is massive parallel sequencing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".