<scp>RNA</scp> sequencing resolves novel <i>DYNC2H1</i> variants causing short‐rib thoracic dysplasia type 3: Case report
Bibliographic record
Abstract
BACKGROUND: Intronic variants outside the canonical splice site are challenging to interpret and therefore likely represent an underreported cause of human disease. Autosomal recessive variants in DYNC2H1 are associated with short-rib thoracic dysplasia 3 with or without polydactyly (SRTD3), a clinically heterogeneous disease generally presenting with short ribs, shortened tubular bones, narrow thorax and acetabular roof anomalies. We describe a case of SRTD3 with compound heterozygous frameshift and intronic variants and highlight the essential role of RNA sequencing (RNA-Seq) in variant interpretation. METHODS: Following inconclusive clinical genetic testing identifying a likely pathogenic frameshift variant and an intronic variant of uncertain significance (VUS) in DYNC2H1 in trans, the family enrolled in the Care4Rare Canada research program, where RNA-Seq studies were performed. RESULTS: The proband presented with post-axial polydactyly of all four limbs, a significantly small chest with a pectus excavatum and anterior flaring of the ribs. RNA-Seq investigations revealed a novel splice junction as a result of the intronic VUS and significantly decreased DYNC2H1 gene expression in the proband. CONCLUSION: This case demonstrates the diagnostic utility of RNA-Seq for variant interpretation following inconclusive clinical testing, which can ultimately lead to diagnosis for patients with rare disease.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".