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Record W4416834156 · doi:10.1080/20473869.2025.2552735

Strengthening the candidacy of the <i>ITSN1</i> gene: a novel <i>de novo</i> variant in a patient with autism spectrum disorder

2025· article· en· W4416834156 on OpenAlexaff
Turkan Turkut Tan, Yusuf Doğan, Enise Avcı Durmuşalioğlu, Zehra Burcu Yilmaz, Muhammet Emin Tan, Tahir Atık, Özgür Çoğulu, Esra Işık

Bibliographic record

VenueInternational Journal of Developmental Disabilities · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomic variations and chromosomal abnormalities
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsCandidacyAutism spectrum disorderAutismDevelopmental disorderSpectrum (functional analysis)

Abstract

fetched live from OpenAlex

Autism spectrum disorder (ASD) is a highly heterogeneous neurodevelopmental condition characterized by social communication deficits and restricted, repetitive behaviors. Although next-generation sequencing has revealed numerous ASD-associated genes, the molecular etiology remains unresolved in many cases. Recent studies have proposed ITSN1 as a candidate gene in autosomal dominant neurodevelopmental disorders, particularly ASD. We describe a patient with nonverbal ASD, significant language regression, stereotypic behaviors, and no dysmorphic features. Trio whole exome sequencing identified a novel de novo heterozygous missense variant in ITSN1: c.5036A>G; p.(Glu1679Gly), located in the C2 domain. The variant was absent from public databases and classified as likely pathogenic (PVS1, PS2, PM2, PP4). Our findings align with previous reports implicating ITSN1 in ASD, intellectual disability, and behavioral phenotypes. This case adds further evidence to the growing recognition of ITSN1 as a contributory gene in ASD and highlights its phenotypic variability. ITSN1 should be considered in the genetic evaluation of ASD.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score0.224

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 head0.004
GPT teacher head0.205
Teacher spread0.202 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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