A relatively mild skeletal ciliopathy phenotype consistent with cranioectodermal dysplasia is associated with a homozygous nonsynonymous mutation in <i>WDR35</i>
Bibliographic record
Abstract
Ciliopathies are a class of clinically and genetically heterogeneous disorders characterized by deficits of the primary cilium, an important organelle for cellular signaling and development. Here we report on a patient from a consanguineous family presenting with renal cysts, short stature, distinctive facial features, missing teeth, brachydactyly, narrow chest, and abnormal ribs. His phenotype resembled a skeletal ciliopathy and the initial clinical differential diagnosis included Jeune thoracic dystrophy and cranioectodermal dysplasia. Due to the presence of parental consanguinity, a homozygous recessive mutation was the suspected cause and homozygosity mapping was used to direct candidate gene sequencing. WDR35, an intraflagellar transport protein previously associated with cranioectodermal dysplasia, the more severe short rib polydactyly syndrome type V and recently Ellis van Creveld syndrome, is present within a region of homozygosity and sequencing of all coding exons identified a novel homozygous nonsynonymous variant, p.Trp1153Cys. This variant affects a highly conserved tryptophan residue, is predicted to be deleterious, and is the most distal mutation yet reported in WDR35. This case expands the spectrum of phenotypes caused by WDR35 mutations, which we review herein.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".