[Genetic analysis of a child with Charlevoix-Saguenay spastic ataxia due to variant of SACS gene].
Bibliographic record
Abstract
OBJECTIVE: To explore the clinical feature and genetic variant of a child with autosomal recessive Charlevoix-Saguenay type spastic ataxia (ARSACS). METHODS: Clinical data of a child who was admitted to the West China Second Hospital of Sichuan University on April 30, 2021 was collected. Whole exome sequencing (WES) was carried out for the child and his parents. Candidate variants were verified by Sanger sequencing and bioinformatic analysis based on the guidelines from the American College of Medical Genetics and Genomics (ACMG). RESULTS: The child, a 3-year-and-3-month-old female, had a complain of "walking instability for over a year". Physical and laboratory examination revealed progressive and aggravated gait instability, increased muscle tone of the right limbs, peripheral neuropathy of the lower limbs, and thickening of retinal nerve fiber layer. The results of WES revealed that she has harbored a maternally derived heterozygous deletion of exons 1 to 10 of the SACS gene, in addition with a de novo heterozygous c.3328dupA variant in exon 10 of the SACS gene. Based on the ACMG guidelines, the exons 1-10 deletion was rated as likely pathogenic (PVS1+PM2_Supporting), and the c.3328dupA was rated as a pathogenic variant (PVS1_Strong+PS2+PM2_Supporting). Neither variant was recorded in the human population databases. CONCLUSION: The c.3328dupA variant and the deletion of exons 1-10 of the SACS gene probably underlay the ARSACS in this patient.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".