Clinical Features and Course of Patients with Glaucoma with the E50K Mutation in the Optineurin Gene
Bibliographic record
Abstract
PURPOSE: To investigate the clinical features of subjects with glaucoma with the E50K mutation in the optineurin (OPTN) gene and to compare the onset, severity, and clinical course of these patients with a control group of subjects with glaucoma without this mutation. METHODS: The phenotype of well-characterized subjects from Moorfields Eye Hospital, London, who had been identified as carrying the OPTN E50K mutation was examined. A wide range of structural, psychophysical, and demographic factors were then compared with those in a control group of subjects with glaucoma without this mutation. RESULTS: Eleven subjects with glaucoma with the E50K mutation (nine in two families and two sporadic cases) were studied. All 11 subjects had normal tension glaucoma (NTG), with presenting and highest IOP of 15.3 +/- 3.0 and 16.5 +/- 2.5 mm Hg (+/-SD) on diurnal testing. Compared with 87 NTG control subjects who did not have this mutation, subjects with E50K presented at a younger age (40.8 +/- 15 years, P = 0.0001) and had more advanced optic disc cupping (mean cup-disc ratio +/- SD 0.86 +/- 0.1, P = 0.001) and smaller neuroretinal rim area (+/-SD; 0.5 +/- 0.28 mm2, P = 0.001) at diagnosis. The rate of filtration surgery performed for progressive visual field loss in those with and without the E50K mutation was 72.7% and 25.3%, respectively (P = 0.003), and all subjects with E50K were found to have progressing visual fields. In addition, seven E50K mutation-carrying individuals in two families (age range, 23-58 years) presented with normal optic discs and visual fields and, as yet, no signs of glaucoma. CONCLUSIONS: In this study, subjects with glaucoma who had the OPTN E50K mutation were found to have NTG that appeared to be more severe than that in a control group of subjects with NTG without this mutation. The findings emphasize the importance of early detection and treatment of glaucoma in such individuals, to minimize visual loss.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".