<i>IQCB1</i>Mutations in Patients with Leber Congenital Amaurosis
Bibliographic record
Abstract
PURPOSE: Leber congenital amaurosis (LCA) is genetically heterogeneous, with 15 genes identified thus far, accounting for ∼70% of LCA patients. The aim of the present study was to identify new genetic causes of LCA. METHODS: Homozygosity mapping in >150 LCA patients of worldwide origin was performed with high-density SNP microarrays to identify new disease-causing genes. RESULTS: In three isolated LCA patients, the authors identified large homozygous regions on chromosome 3 encompassing the IQCB1 gene, which has been associated with Senior-Loken syndrome (SLSN), characterized by nephronophthisis and retinal degeneration. Mutation analysis of IQCB1 in these three patients and a subsequent cohort of 222 additional LCA patients identified frameshift and nonsense mutations in 11 patients diagnosed with LCA. On re-inspection of the patient's disease status, seven were found to have developed SLSN, but four maintained the diagnosis of LCA as the kidney function remained normal. CONCLUSIONS: Results show that the onset of renal failure in patients with IQCB1 mutations is highly variable, and that mutations are also found in LCA patients without nephronophthisis, rendering IQCB1 a new gene for LCA. However, these patients are at high risk for developing renal failure, which in early stages is often not recognized and can cause sudden death from fluid and electrolyte imbalance. It is therefore recommended that all LCA patients be screened for IQCB1 mutations, to follow them more closely for kidney disease.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".