Clinical Application of Whole-Exome Sequencing
Bibliographic record
Abstract
IMPORTANCE: Ataxia in children is a diagnostic challenge. Besides the more common acquired causes of ataxia, there are more than 50 inherited disorders associated with ataxia. Our objective was to highlight whole-exome sequencing as a rapidly evolving clinical tool for diagnosis of mendelian disorders, and we illustrate this in the report of a single case of a novel sequence variation in the SACS gene. OBSERVATIONS: A 4-year-old girl presented with delayed gross motor development, ataxia, and polyneuropathy. Results of initial testing for the common causes of inherited and acquired ataxia were unrevealing. Whole-exome sequencing showed a novel frameshift homozygous sequence variation in the SACS gene, consistent with the diagnosis of autosomal recessive spastic ataxia of Charlevoix-Saguenay. CONCLUSIONS: Whole-exome sequencing is a powerful clinical tool that has been increasingly used to assist in the diagnosis of mendelian disorders. It provides a cost-effective, efficient, and expedited approach to making a clinical diagnosis and, in some cases, may be the only way to make a diagnosis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
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".