Functional characterization of a 13-bp deletion (c.-1522_-1510del13) in the promoter of the von Willebrand factor gene in type 1 von Willebrand disease
Bibliographic record
Abstract
We have studied the effect of a 13-bp deletion in the promoter of the von Willebrand factor (VWF) gene in a patient with type 1 von Willebrand disease. The index case has a VWF:Ag of 0.49 IU/mL and is heterozygous for the deletion. The deletion is located 48 bp 5' of the transcription start site, and in silico analysis, electrophoretic mobility shift assays, and chromatin immunoprecipitation studies all predict aberrant binding of Ets transcription factors to the site of the deletion. Transduction of reporter gene constructs into blood outgrowth endothelial cells showed a 50.5% reduction in expression with the mutant promoter (n = 16, P < .001). A similar 40% loss of transactivation was documented in transduced HepG2 cells. A similar marked reduction of transgene expression was shown in the livers of mice injected with the mutant promoter construct (n = 8, P = .003). Finally, in studies of BOEC mRNA, the index case showed a 4.6-fold reduction of expression of the VWF transcript associated with the deletion mutation. These studies show that the 13-bp deletion mutation alters the binding of Ets (and possibly GATA) proteins to the VWF promoter and significantly reduces VWF expression, thus playing a central pathogenic role in the type 1 von Willebrand disease phenotype in the index case.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".