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Record W3111855133 · doi:10.1038/s41525-020-00162-9

Missense variant contribution to USP9X-female syndrome

2020· article· en· W3111855133 on OpenAlexaff
Lachlan A. Jolly, Euan Parnell, Alison Gardner, Mark Corbett, Luis A. Pérez‐Jurado, Marie Shaw, Gaëtan Lesca, Catherine E. Keegan, Michael C. Schneider, Emily Griffin, Felicitas Maier, Courtney Kiss, Andrea Guerin, Kathleen Crosby, Kenneth N. Rosenbaum, Pranoot Tanpaiboon, Sandra Whalen, Boris Keren, Julie McCarrier, Donald Basel, Simon Sadedin, Susan M. White, Martin B. Delatycki, Tjitske Kleefstra, Sébastien Küry, Alfredo Brusco, Elena Sukarova-Angelovska, Slavica Trajkova, Sehyoun Yoon, Stephen A. Wood, Michael Piper, Peter Penzes, Jozef Gécz

Bibliographic record

Venuenpj Genomic Medicine · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsKingston General HospitalKingston Health Sciences Centre
FundersNational Eye InstituteNational Human Genome Research InstituteNational Institute of Mental HealthMedical Research CouncilMinistero dell’Istruzione, dell’Università e della RicercaSimons Foundation Autism Research InitiativeAgence Nationale de la RechercheDipartimenti di EccellenzaNational Health and Medical Research CouncilBroad Institute
KeywordsMissense mutationLoss functionGeneticsPhenotypeBiologyPathogenicityGene

Abstract

fetched live from OpenAlex

USP9X is an X-chromosome gene that escapes X-inactivation. Loss or compromised function of USP9X leads to neurodevelopmental disorders in males and females. While males are impacted primarily by hemizygous partial loss-of-function missense variants, in females de novo heterozygous complete loss-of-function mutations predominate, and give rise to the clinically recognisable USP9X-female syndrome. Here we provide evidence of the contribution of USP9X missense and small in-frame deletion variants in USP9X-female syndrome also. We scrutinise the pathogenicity of eleven such variants, ten of which were novel. Combined application of variant prediction algorithms, protein structure modelling, and assessment under clinically relevant guidelines universally support their pathogenicity. The core phenotype of this cohort overlapped with previous descriptions of USP9X-female syndrome, but exposed heightened variability. Aggregate phenotypic information of 35 currently known females with predicted pathogenic variation in USP9X reaffirms the clinically recognisable USP9X-female syndrome, and highlights major differences when compared to USP9X-male associated neurodevelopmental disorders.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.842
Threshold uncertainty score0.562

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 head0.014
GPT teacher head0.233
Teacher spread0.219 · 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

Citations38
Published2020
Admission routes1
Has abstractyes

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