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Record W4393111338 · doi:10.1002/pd.6553

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

2024· article· en· W4393111338 on OpenAlexaff
Molly Jackson, Mary Ann Thomas, Ian Suchet, Houman Mahallati, Verena Kuret, Julie Lauzon

Bibliographic record

VenuePrenatal Diagnosis · 2024
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsTotal (Canada)University of Calgary
Fundersnot available
KeywordsArthrogryposisCongenital myopathyHydrops fetalisMyopathyGenetic counselingExome sequencingMedicineCystic hygromaFetusGenetic heterogeneityPrenatal diagnosisHypotoniaGenetic testingPathologyPediatricsMuscle biopsyGeneticsBiologyPhenotypePregnancyAnatomyInternal medicineBiopsy

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.780

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.261
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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