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Record W3194009700 · doi:10.1002/ajmg.a.62465

Expanding the phenotype of <scp><i>ASXL3</i></scp>‐related syndrome: A comprehensive description of 45 unpublished individuals with inherited and de novo pathogenic variants in <scp><i>ASXL3</i></scp>

2021· article· en· W3194009700 on OpenAlexaff
Schaida Schirwani, Shadi Albaba, Deanna Alexis Carere, María J. Guillen Sacoto, Francisca Milan Zamora, Yue Si, Rachel Rabin, John Pappas, Deborah L. Renaud, Natalie Hauser, Evan Reid, Patricia Blanchet, Nichola Foulds, Abhijit Dixit, Richard Fisher, Ruth Armstrong, Bertrand Isidor, Benjamin Cogné, Samantha A. Schrier Vergano, Serwet Demirdas, Natalie Dykzeul, Julie S. Cohen, Katheryn Grand, Dayna Morel Swols, Anne Slavotinek, Hessa F. Albassam, Swati Naik, John Dean, Nicola Ragge, Cinzia Costa, Maria Giovanna Tedesco, Rachel Harrison, Arjan Bouman, Emily Palen, Thomas D. Challman, Marjolein H. Willemsen, Julie Vogt, Christopher Cunniff, Katherine Bergstrom, Jagdeep S. Walia, Ange‐Line Bruel, Usha Kini, Fowzan S. Alkuraya, Valerie Slegesky, Naomi Meeks, Paula Natale Girotto, Diana Johnson, Ruth Newbury‐Ecob, Charlotte W. Ockeloen, Paolo Prontera, Sally Ann Lynch, Dong Li, John M. Graham, Tyler Mark Pierson, Meena Balasubramanian

Bibliographic record

VenueAmerican Journal of Medical Genetics Part A · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsQueen's University
FundersMedical Research Council
KeywordsPhenotypeMissense mutationHypertelorismHypotoniaGeneticsBiologyIntellectual disabilityGeneBioinformatics

Abstract

fetched live from OpenAlex

The study aimed at widening the clinical and genetic spectrum of ASXL3-related syndrome, a neurodevelopmental disorder, caused by truncating variants in the ASXL3 gene. In this international collaborative study, we have undertaken a detailed clinical and molecular analysis of 45 previously unpublished individuals with ASXL3-related syndrome, as well as a review of all previously published individuals. We have reviewed the rather limited functional characterization of pathogenic variants in ASXL3 and discuss current understanding of the consequences of the different ASXL3 variants. In this comprehensive analysis of ASXL3-related syndrome, we define its natural history and clinical evolution occurring with age. We report familial ASXL3 pathogenic variants, characterize the phenotype in mildly affected individuals and discuss nonpenetrance. We also discuss the role of missense variants in ASXL3. We delineate a variable but consistent phenotype. The most characteristic features are neurodevelopmental delay with consistently limited speech, significant neuro-behavioral issues, hypotonia, and feeding difficulties. Distinctive features include downslanting palpebral fissures, hypertelorism, tubular nose with a prominent nasal bridge, and low-hanging columella. The presented data will inform clinical management of individuals with ASXL3-related syndrome and improve interpretation of new ASXL3 sequence variants.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.757
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.242
Teacher spread0.232 · 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

Citations25
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Medical Genetics Part ASame topicGenomics and Rare DiseasesFrench-language works237,207