A novel multisystem disease associated with recessive mutations in the tyrosyl‐tRNA synthetase (<i>YARS</i>) gene
Bibliographic record
Abstract
Aminoacyl-tRNA synthetases (ARSs) are a group of ubiquitously expressed enzymes that are best known for their function in the first step of protein translation but have been increasingly associated with secondary functions including transcription and translation control and extracellular signaling. Mutations in numerous ARSs have been linked to a growing number of both autosomal dominant and autosomal recessive human diseases. The tyrosyl-tRNA synthetase (YARS) links the amino acid tyrosine to its cognate tRNA. We report two siblings who presented with failure to thrive (FTT), hypertriglyceridemia, developmental delay, liver dysfunction, lung cysts, and abnormal subcortical white matter. Using exome sequencing the siblings were found to harbor bi-allelic pathogenic-appearing variants within the YARS gene (NM_003680.3):c.638C>T p.(Pro213Leu) and c.1573G>A p.(Gly525Arg). These YARS variants occur in the catalytic domain and the C-terminal domain, respectively. Mutations in YARS have been previously associated with an autosomal dominant form of Charcot-Marie-Tooth (CMT); our findings suggest the disease spectrum associated with YARS dysregulation is broader than peripheral neuropathy. © 2016 Wiley Periodicals, Inc.
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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) | 0.003 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".