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Record W4410774335 · doi:10.1016/j.ejmg.2025.105020

Variable expressivity of a transmitted pathogenic KAT6B variant

2025· article· en· W4410774335 on OpenAlexaff
Pernille Axél Gregersen, Trine Østergaard Nielsen, Line Graven Lyngdorf, Casper Kruse, Michael Bayat, Philippe M. Campeau, Anne Skakkebæk

Bibliographic record

VenueEuropean Journal of Medical Genetics · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomic variations and chromosomal abnormalities
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsExpressivityGeneticsComputer scienceBiology

Abstract

fetched live from OpenAlex

Pathogenic variants in KAT6B (Lysine acetyltransferase 6B) are associated with two clinically overlapping autosomal dominant disorders Say-Barber-Biesecker-Young-Simpson syndrome (SBBYSS) (OMIM 603736), and Genitopatellar syndrome (GPS) (OMIM 606170). More recently, the clinical spectrum of KAT6B disorders has expanded and KAT6B disorders have been suggested to consist of a spectrum of disorders with intermediate and overlapping clinical manifestations. Pathogenic variants in KAT6B mainly occur de novo, with only 3 reports of inherited variants. Here, we describe clinical and molecular findings in a three-generation Danish family with a segregating, previously unreported, pathogenic KAT6B variant. The variant is associated with a phenotype not otherwise specified (neither SBBYSS nor GPS) and with variable expressivity, adding further evidence that KAT6B disorders should be seen as a broad clinical spectrum. Furthermore, we highlight the existence of intra-familial variability and that pathogenic variants in KAT6B can be inherited from mildly affected parents.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score0.389

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.007
GPT teacher head0.228
Teacher spread0.221 · 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 designBench or experimental
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

Citations0
Published2025
Admission routes1
Has abstractyes

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