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Record W4414811919 · doi:10.1002/ajmg.a.64243

<i>ZMIZ1</i> ‐Associated Neurodevelopmental Disorder in a 52‐Year‐Old Woman

2025· article· en· W4414811919 on OpenAlexaff
Sila Rogan, Anthony Gador, Jan M. Friedman

Bibliographic record

VenueAmerican Journal of Medical Genetics Part A · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsBC Children's HospitalProvidence Health CareUniversity of British Columbia
Fundersnot available
KeywordsCraniofacialNeurodevelopmental disorderAutopsyCraniofacial abnormalityGenetic disorderGenitourinary systemDevelopmental disorderHypertelorism

Abstract

fetched live from OpenAlex

Variants in ZMIZ1 can cause a syndromic neurodevelopmental disorder with dysmorphic facies and distal skeletal anomalies. Here we report a woman with a de novo ZMIZ1 c.899C>T (p.Thr300Met) variant, low average IQ, high myopia, craniofacial dysmorphisms, genitourinary anomalies, cardiac defects, lower limb deformities, and chronic pain. She died unexpectedly at 52 years of age. Additional findings seen on autopsy included cerebral cortical neuronal heterotopias. Our report illustrates that individuals with ZMIZ1-associated neurodevelopmental disorder can lead long, active, and fulfilling lives.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.005
GPT teacher head0.249
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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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