Mutational Analysis of SDCCAG8 in Bardet-Biedl Syndrome Patients with Renal Involvement and Absent Polydactyly
Bibliographic record
Abstract
PURPOSE: To assess for SDCCAG8 mutations in Bardet-Biedl syndrome (BBS) subjects with renal involvement and no polydactyly, and to describe phenotypic characteristics of SDCCAG8-related disease. MATERIAL AND METHODS: Five patients (from 4 pedigrees) with clinical diagnosis of BBS, who had retinal and renal involvement and no polydactyly, were assessed. Sequence analysis of SDCCAG8 was undertaken and a detailed clinical review of an affected sibship was performed. RESULTS: A sibship of East Indian origin who carried a putative clinical diagnosis of BBS had compound heterozygous mutations in SDCCAG8 (p.Thr482LysfsX12/p.Asp543AlafsX24). The renal involvement was early and required transplant in both cases. Both were short statured and had asthma since childhood. The younger sister also had non-alcoholic fatty liver disease. Visual acuity and central fields were preserved in the teenage years in both patients. The optical coherence tomography showed preservation of the retinal lamination at the fovea; fundus autofluorescence demonstrated a perifoveal ring of hyperfluorescence as commonly observed in other forms of retinitis pigmentosa. Full-field electroretinogram revealed rod function to be more severely affected than cone function in both cases. CONCLUSION: Our results and prior literature suggest that SDCCAG8 could play an important role in presumed BBS patients affected with severe kidney disease and absent polydactyly. This report enhances the phenotypic description of SDCCAG8-related 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 | 0.000 |
| Science and technology studies | 0.000 | 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".