A novel pathogenic missense ADAMTS17 variant that impairs secretion causes Weill-Marchesani Syndrome with variably dysmorphic hand features
Bibliographic record
Abstract
Weill-Marchesani syndrome (WMS) is a rare disorder displaying short stature, brachydactyly and joint stiffness, and ocular features including microspherophakia and ectopia lentis. Brachydactyly and joint stiffness appear less commonly in patients with WMS4 caused by pathogenic ADAMTS17 variants. Here, we investigated a large family with WMS from Newfoundland, Canada. These patients displayed core WMS features, but with proportionate hands that were clinically equivocal for brachydactyly. Whole exome sequencing and autozygosity mapping unveiled a novel pathogenic missense ADAMTS17 variant (c.3068 G > A, p.C1023Y). Sanger sequencing demonstrated variant co-segregation with WMS, and absence in 150 population matched controls. Given ADAMTS17 involvement, we performed deep phenotyping of the patients' hands. Anthropometrics applied to hand roentgenograms showed that metacarpophalangeal measurements of affected patients were smaller than expected for their age and sex, and when compared to their unaffected sibling. Furthermore, we found a possible sub-clinical phenotype involving markedly shortened metacarpophalangeal bones with intrafamilial variability. Transfection of the variant ADAMTS17 into HEK293T cells revealed significantly reduced secretion into the extracellular medium compared to wild-type. This work expands understanding of the molecular pathogenesis of ADAMTS17, clarifies the variable hand phenotype, and underscores a role for anthropometrics in characterizing sub-clinical brachydactyly in these patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".