DE NOVO MUTATION IN A CHOROIDEREMIA CARRIER
Bibliographic record
Abstract
In Brief Purpose: To describe a de novo gene mutation in a female patient with clinically characteristic findings of choroideremia (CHM). Methods: Determination of best-corrected visual acuity, fundus examination, visual field analysis, and electroretinography were performed on a female patient with an advanced CHM phenotype. Blood samples were obtained from the patient and both her parents, and direct genomic sequencing for DNA analysis was performed on the blood samples. Results: A single base-pair sequence change was identified in codon 293 in exon 7 (R293X) of the CHM gene in the proband. This mutation was not found to occur in her clinically unaffected parents. Conclusion: These findings document that a de novo point mutation should be considered when an isolated female family member is found to have CHM. Best-corrected visual acuity measurement, fundus examination, visual field analysis, and electroretinogram testing were performed for a woman with an advanced choroideremia (CHM) phenotype. Blood samples were obtained from the patient and both her parents, and their DNA was analyzed by direct genomic sequencing. A single base-pair sequence change was identified in codon 293 in exon 7 (R293X) of the CHM gene in the proband. This mutation was not found to occur in her clinically unaffected parents. These findings document that a de novo point mutation should be considered when an isolated female family member is found to have CHM.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".