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Record W4220881985 · doi:10.1159/000522486

Pre- and Postnatal Characterization of Autosomal Recessive <b><i>KIDINS220</i></b>-Associated Ventriculomegaly

2022· article· en· W4220881985 on OpenAlexaff
Lauren Brady, Bryon DeFrance, Mark A. Tarnopolsky

Bibliographic record

VenueMolecular Syndromology · 2022
Typearticle
Languageen
FieldMedicine
TopicFetal and Pediatric Neurological Disorders
Canadian institutionsMcMaster Children's Hospital
Fundersnot available
KeywordsVentriculomegalyMedicineFetusPhenotypeMicrocephalyExonInternal medicineEndocrinologyBiologyGeneticsPregnancyGenePediatrics

Abstract

fetched live from OpenAlex

Introduction: Heterozygous loss-of-function variants in the last 2 exons of KIDINS220 have been associated with spastic paraplegia, intellectual disability, nystagmus, and obesity (SINO). Syndromic features of this condition include macrocephaly and dilatation of the lateral ventricles. Homozygous variants in the more proximal exons of KIDINS220 have been reported in several fetuses with a similar but more severe phenotype of limb contractures and severe ventriculomegaly identified in the second trimester of pregnancy. Case Presentation: We present here a 2.5-year-old female with profound global developmental delays and spasticity who was found by fetal ultrasound in week 19 of gestation to have bilateral talipes equinovarus and severe bilateral ventriculomegaly. Postnatal genetic testing revealed biallelic variants in KIDINS220. Discussion: To our knowledge, this is the first living individual reported with the autosomal recessive form of a KIDINS220-associated condition. This case provides additional information about the postnatal phenotype and a detailed history of development from prenatal ultrasonography.

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 score0.002
Threshold uncertainty score0.004

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.216
Teacher spread0.210 · 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

Citations7
Published2022
Admission routes1
Has abstractyes

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