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Record W4409916376 · doi:10.1186/s13148-025-01879-z

Reverse genotyping: unveiling Alu element insertion as a new cause of Kabuki syndrome using DNA methylation signature

2025· article· en· W4409916376 on OpenAlex
Quentin Sabbagh, Nathalie Ruiz-Pallares, Cassandra Rastin, Jacques Puechberty, Thomas Guignard, Claire Jeandel, Fanny Merklen, Pascal Pujol, Jennifer Kerkhof, Bekim Sadiković, Mouna Barat‐Houari, David Geneviève

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueClinical Epigenetics · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsLondon Health Sciences Centre
FundersGenome Canada
KeywordsKabukiGenotypingAlu elementHuman geneticsKabuki syndromeGeneticsDNA methylationBiologySignature (topology)MedicineComputational biologyGenotypeGeneHuman genomeGenome

Abstract

fetched live from OpenAlex

Kabuki syndrome type 1 (KS1) is a monogenic disorder arising from pathogenic variants within KMT2D and characterized by syndromic neurodevelopmental delay. We report the retrospective identification of a causative AluY insertion within KMT2D in a genetically unsolved individual with typical KS1 features, after identification of a DNA methylation signature. This is the first documentation of Alu insertion as a molecular mechanism responsible for KS1. This study emphasizes the need for reanalyzing inconclusive sequencing data in individuals with gene-specific phenotypes and reinforces episignature as a reliable diagnostic tool when NGS approaches fail to provide conclusive results in individuals with rare diseases.

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.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.040
GPT teacher head0.370
Teacher spread0.330 · 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