A co‐occurrence of osteogenesis imperfecta type VI and cystinosis
Bibliographic record
Abstract
Osteogenesis imperfecta type VI (OI type VI) is a rare autosomal recessive disorder caused by mutations in the SERPINF1 gene that encodes pigment epithelium-derived factor (PEDF). Cystinosis is an autosomal recessive lysosomal transport disorder caused by mutations in the CTNS gene. Both SERPINF1 and CTNS are located on chromosome 17p13.3. We describe an individual presenting with both OI type VI and cystinosis. The patient was diagnosed with cystinosis at the age of 11 months and OI type VI on bone biopsy at the age of 8 years. He has sustained over 30 fractures during his lifetime, and at the age of 19 years entered end-stage renal disease and subsequent renal transplant. An Affymetrix 6.0 array was used to look for areas of loss of heterozygosity on chromosome 17. Sequencing of the SERPINF1 and CTNS genes was performed, followed by quantitative PCR and Western blot of PEDF to characterize the identified mutation. A 6.58 Mb region of homozygosity was identified on the Affymetrix 6.0 array, encompassing both the SERPINF1 and CTNS genes. Sequencing of the genes identified homozygosity for a known pathogenic CTNS mutation and for a novel in-frame duplication in SERPINF1. Skin fibroblasts produced a markedly reduced amount of SERPINF1 transcript and PEDF protein. This patient has the concurrent phenotype of two rare recessive diseases, cystinosis and OI type VI. We identified for the first time an in-frame duplication in SERPINF1 that is responsible for the OI type VI phenotype in this patient.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".