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Record W3135557210 · doi:10.1038/s41436-021-01119-8

Clinical delineation, sex differences, and genotype–phenotype correlation in pathogenic KDM6A variants causing X-linked Kabuki syndrome type 2

2021· article· en· W3135557210 on OpenAlexaff
Víctor Faùndes, Stephanie Goh, Rhoda Akilapa, Heidre Bezuidenhout, Hans T. Björnsson, Lisa Bradley, Angela F. Brady, Elise Brischoux‐Boucher, Han G. Brunner, Saskia Bulk, Natalie Canham, Declan Cody, Maria Lisa Dentici, M. Cristina Digilio, Frances Elmslie, Andrew E. Fry, Harinder Gill, Jane A. Hurst, Diana Johnson, Sophie Julia, Katherine Lachlan, Robert Roger Lebel, Melissa Byler, Eric Gershon, Edmond G. Lemire, Maria Gnazzo, Francesca Romana Lepri, Antonia Marchèse, Meriel McEntagart, Julie McGaughran, Seiji Mizuno, Nobuhiko Okamoto, Claudine Rieubland, Jonathan Rodgers, Erina Sasaki, Emmanuel Scalais, Ingrid Scurr, Mohnish Suri, Ineke van der Burgt, Naomichi Matsumoto, Noriko Miyake, Valérie Benoît, Damien Lederer, Siddharth Banka

Bibliographic record

VenueGenetics in Medicine · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsUniversity of SaskatchewanRoyal University Hospital
FundersComisión Nacional de Investigación Científica y TecnológicaJapan Society for the Promotion of ScienceMinistero della SaluteNational Institute for Health and Care ResearchWellcome TrustJapan Agency for Medical Research and Development
KeywordsPhenotypeKabukiGenotypeGeneticsBiologyCorrelationKabuki syndromeGenotype-phenotype distinctionMedicineGene

Abstract

fetched live from OpenAlex

PURPOSE: The variant spectrum and the phenotype of X-linked Kabuki syndrome type 2 (KS2) are poorly understood. METHODS: Genetic and clinical details of new and published individuals with pathogenic KDM6A variants were compiled and analyzed. RESULTS: Sixty-one distinct pathogenic KDM6A variants (50 truncating, 11 missense) from 80 patients (34 males, 46 females) were identified. Missense variants clustered in the TRP 2, 3, 7 and Jmj-C domains. Truncating variants were significantly more likely to be de novo. Thirteen individuals had maternally inherited variants and one had a paternally inherited variant. Neonatal feeding difficulties, hypoglycemia, postnatal growth retardation, poor weight gain, motor delay, intellectual disability (ID), microcephaly, congenital heart anomalies, palate defects, renal malformations, strabismus, hearing loss, recurrent infections, hyperinsulinism, seizures, joint hypermobility, and gastroesophageal reflux were frequent clinical findings. Facial features of over a third of patients were not typical for KS. Males were significantly more likely to be born prematurely, have shorter stature, and severe developmental delay/ID. CONCLUSION: We expand the KDM6A variant spectrum and delineate the KS2 phenotype. We demonstrate that the variability of the KS2 phenotypic depends on sex and the variant type. We also highlight the overlaps and differences between the phenotypes of KS2 and KS1.

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 score0.073
Threshold uncertainty score0.554

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 head0.027
GPT teacher head0.306
Teacher spread0.279 · 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

Citations70
Published2021
Admission routes1
Has abstractyes

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