Lethal multiple pterygium syndrome, large cystic hygroma, and cleft palate: Rare and severe fetal presentations of <i>RYR1</i>‐ and <i>NEB‐</i>related congenital myopathies
Bibliographic record
Abstract
Congenital myopathies are a genetically heterogeneous group of neuromuscular disorders that commonly present with congenital hypotonia and weakness but can also present broadly. The most severe presentation is neonatal with arthrogryposis and, rarely, fetal akinesia and pterygia, features also seen in lethal multiple pterygium syndrome (LMPS). We describe two fetuses with similar phenotype, including hydrops fetalis, large cystic hygromas, bilateral talipes, and fetal akinesia in the second trimester. Genetic diagnoses were made using exome sequencing. Both fetuses had a severe form of congenital myopathy. In the first fetus, we identified two novel compound heterozygous likely pathogenic variants consistent with autosomal recessive RYR1-related congenital myopathy (congenital myopathy 1B). In the second fetus, we identified two likely pathogenic variants, one of which is novel, likely in trans consistent with a diagnosis of autosomal recessive NEB-related congenital myopathy. Reaching a genetic diagnosis for these fetuses allowed the families to receive accurate genetic counseling for future pregnancies. These fetuses highlight the genetic and phenotypic heterogeneity of LMPS, and support a broad approach to genetic testing.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".