Functional Characterization of Novel Lunatic Fringe Variants in Spondylocostal Dysostosis Type-III with Scoliosis
Bibliographic record
Abstract
Scoliosis affects over four million Americans, with most cases having an idiopathic cause. Pathogenic variants in the LUNATIC FRINGE (LFNG) gene can cause spondylocostal dysostosis type-III (SCD3), which is a rare skeletal dysplasia characterized by the absence, fusion, or partial development of vertebrae and ribs. Acute restrictive lung disease and scoliosis may also be present in some cases. The variability in symptoms suggests that there may be other underlying pathological mechanisms that are yet to be discovered. We conducted an analysis of two novel LFNG variants, c.766G>A (p.G256S) and c.521G>A (p.R174H), that were observed in a patient with SCD3 phenotype and scoliosis. Characterizing these variants can help us better understand the relationship between genotype and phenotype. We assessed both variants for impaired glycosyltransferase activity, subcellular mislocalization, and aberrant pre-proprotein processing. Our results indicate that the p.G256S variant is enzymatically nonfunctional, while the p.R174H variant is functionally less effective. Both variants were correctly localized and processed. Our findings suggest that the hypomorphic variant (p.R174H) may have partially improved the patient’s stature, as evidenced by a lower arm span-to-height ratio, increased height, and more vertebrae. However, this variant did not appear to have any effect on the severity of vertebral malformations, including scoliosis. Further research is necessary to determine the extent to which variations in LFNG activity affect the presentation of SCD3.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".