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Record W4410488650 · doi:10.1016/j.gimo.2025.103437

Systematic phenotype and genotype characterization of Moebius syndrome

2025· article· en· W4410488650 on OpenAlexaff
Bryn D. Webb, Julie A. Jurgens, Narisu Narisu, Zhongyang Zhang, Brenda J. Barry, Carol Van Ryzin, Lori L. Bonnycastle, Wai‐Man Chan, Tingfen Yan, Silvio Alessandro Di Gioia, Amy J. Swift, Sarah MacKinnon, Darren T. Oystreck, Janet C. Rucker, Tamiesha Frempong, Mary C. Whitman, Edmond J. FitzGibbon, Janice S. Lee, Ke Hao, Caroline Andrews, Mónica Erazo, Flavia M. Facio, Sherin Shaaban, Thomas P. Naidich, Peter S. Chines, Tanya Lehky, Camilo Toro, Andrea Gropman, John A. Butman, Christopher Zalewski, Carmen C. Brewer, Audrey Thurm, Joseph Snow, Scott M. Paul, Brian P. Brooks, Carlo Pierpaoli, Caroline D. Robson, David G. Hunter, Francis S. Collins, Ethylin Wang Jabs, Elizabeth C. Engle, Irini Manoli

Bibliographic record

VenueGenetics in Medicine Open · 2025
Typearticle
Languageen
FieldMedicine
TopicPectus Deformity Diagnosis and Treatment
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
FundersNational Institute of Child Health and Human DevelopmentIcahn School of Medicine at Mount SinaiNational Institute on Deafness and Other Communication DisordersNational Eye InstituteNational Center for Advancing Translational SciencesNational Human Genome Research InstituteNational Institutes of HealthNational Heart, Lung, and Blood InstituteEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentBoston Children's HospitalHarvard UniversityNational Institute of General Medical SciencesHarvard Medical SchoolHarvard CatalystHoward Hughes Medical Institute
KeywordsGeneticsExome sequencingBiologyPhenotypeCandidate geneGeneExomeBioinformatics

Abstract

fetched live from OpenAlex

Purpose: To explore the phenotypic spectrum and genetic etiologies of Moebius Syndrome (MBS), a rare neurological disorder defined by congenital, nonprogressive facial weakness and limitations in ocular abduction. Methods: We applied strict diagnostic criteria and conducted clinical phenotyping of 149 individuals with MBS. Subsequently, we performed exome and/or genome sequencing on 67 of these individuals and 117 unaffected family members. Results: (HGNC:9968). Conclusion: We did not identify a strong or unifying germline genetic etiology for MBS. Future studies may explore alternative causes, including environmental exposures, somatic variants, and/or complex inheritance patterns affecting brainstem and organ embryogenesis.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.318
Teacher spread0.297 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2025
Admission routes1
Has abstractyes

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