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Record W3013079472 · doi:10.1111/cge.13746

Overlapping phenotypes between <scp>SHORT</scp> and Noonan syndromes in patients with <scp><i>PTPN11</i></scp> pathogenic variants

2020· article· en· W3013079472 on OpenAlexaff
Emmanuelle Ranza, Anne Guimier, Alain Verloès, Yline Capri, Charles Henrique Dias Marques, Martine Auclair, Michèle Mathieu‐Dramard, Gilles Morin, Julien Thévenon, Laurence Faivre, Christel Thauvin‐Robinet, A. Micheil Innes, David A. Dyment, Corinne Vigouroux, Jeanne Amiel

Bibliographic record

VenueClinical Genetics · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Tyrosine Phosphatases
Canadian institutionsChildren's Hospital of Eastern OntarioAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsPTPN11Noonan syndromeCostello syndromePhenotypeGeneticsBiologyMissense mutationMAPK/ERK pathwayCancer researchMutationGeneKinaseKRAS

Abstract

fetched live from OpenAlex

Overlapping syndromes such as Noonan, Cardio-Facio-Cutaneous, Noonan syndrome (NS) with multiple lentigines and Costello syndromes are genetically heterogeneous conditions sharing a dysregulation of the RAS/mitogen-activated protein kinase (MAPK) pathway and are known collectively as the RASopathies. PTPN11 was the first disease-causing gene identified in NS and remains the more prevalent. We report seven patients from three families presenting heterozygous missense variants in PTPN11 probably responsible for a disease phenotype distinct from the classical Noonan syndrome. The clinical presentation and common features of these seven cases overlap with the SHORT syndrome. The latter is the consequence of PI3K/AKT signaling deregulation with the predominant disease-causing gene being PIK3R1. Our data suggest that the phenotypic spectrum associated with pathogenic variants of PTPN11 could be wider than previously described, and this could be due to the dual activity of SHP2 (ie, PTPN11 gene product) on the RAS/MAPK and PI3K/AKT signaling.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.029
GPT teacher head0.276
Teacher spread0.247 · 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.

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

Citations13
Published2020
Admission routes1
Has abstractyes

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