Delineating the pathogenic threshold and phenotypic spectrum of SCA27B: findings from a large French–Canadian cohort
Bibliographic record
Abstract
Autosomal dominant spinocerebellar ataxia 27B (SCA27B), caused by an intronic (GAA•TTC) repeat expansion in FGF14 , is a common cause of late-onset cerebellar ataxia, but its genotypic and phenotypic spectrum remains to be fully established. We analysed the FGF14 (GAA•TTC) repeat expansion in a cohort of 134 patients with ataxia and 822 controls from Quebec. We conducted segregation study in large families to further characterize intergenerational repeat instability. We found a significant enrichment of (GAA•TTC) ≥200 alleles in the ataxia cohort compared to controls (53.0%, 71/134, vs 3.6%, 30/822, p < 0.0001), including for (GAA•TTC) 200–249 alleles (8.2% vs 2.6%, p = 0.0026). We identified 12 ataxic patients with a phenotype compatible with SCA27B carrying a (GAA•TTC) 200–249 expansion supporting the pathogenicity of these alleles in some patients. We further delineated the phenotype of 125 symptomatic individuals from 69 families who carried an FGF14 (GAA•TTC) ≥200 repeat expansion. Patients with (GAA•TTC) 200–249 , (GAA•TTC) 250–299 , and (GAA•TTC) ≥300 had a similar phenotype. We observed that 14% of patients with episodic symptoms (13/92) had severe episodes that were initially misdiagnosed as stroke, vestibular neuritis, Wernicke’s encephalopathy, or seizures. This large cohort demonstrates that (GAA•TTC) 200–249 alleles are enriched in patients with ataxia compared to controls and can be pathogenic for SCA27B, supporting the need to define a lower pathogenic threshold in the presence of specific clinical criteria.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".