Inherited Retinal Diseases with High Myopia: A Review
Bibliographic record
Abstract
Inherited retinal dystrophies (IRDs) are a diverse group of monogenic disorders associated with dysfunction of the retina. High myopia, commonly defined as a spherical equivalent ≤ −6.00 D or axial length ≥ 26.5 mm, is a recurring clinical feature across several IRDs, and could serve as an early diagnostic clue. This review provides a summary of IRDs associated with high myopia to guide the clinician in establishing a molecular diagnosis for patients. We performed a comprehensive literature review of articles in PubMed, ScienceDirect, and JAMA Network to identify associations between monogenic IRDs and high myopia. Genes associated with IRDs and high myopia clustered into functional categories that included collagen/structural integrity (COL2A1, COL9A1, COL11A1, COL18A1, P3H2), phototransduction and visual cycle (PDE6C, PDE6H, GUCY2D, ARR3, RBP3), ciliary trafficking and microtubule-associated genes (RPGR, RP2, IFT140, CFAP418, FAM161A), synaptic ribbon and bipolar cell signaling (NYX, CACNA1F, TRPM1, GRM6, LRIT3, GPR179), opsin-related genes (OPN1LW, OPN1MW), and miscellaneous categories (VPS13B, ADAMTS18, LAMA1). Associations between IRDs and high myopia spanned stationary and progressive retinal disorders and included both cone-dominant and rod-dominant diseases. High myopia accompanied by other visual symptoms and signs such as nyctalopia, photophobia, or reduced best-corrected visual acuity should heighten suspicion for an underlying IRD. Earlier diagnosis of IRDs for patients could facilitate timely genetic counseling, participation in clinical trials, and interventions for patients to preserve vision.:
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".