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Record W3033954889 · doi:10.1212/nxg.0000000000000452

A splice variant in <i>ATAD3A</i> expands the clinical and genetic spectrum of Harel-Yoon syndrome

2020· article· en· W3033954889 on OpenAlexaff
Ilana Hanes, Hugh J. McMillan, Yoko Itō, Kristin D. Kernohan, Joanna Lazier, Matthew A. Lines, David A. Dyment

Bibliographic record

VenueNeurology Genetics · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA regulation and disease
Canadian institutionsNewborn Screening OntarioChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMissense mutationAtrophyHypotoniaEncephalopathyTesticular atrophyGenotypeMitochondrionBiologyGeneticsNeuroscienceMedicinePhenotypeInternal medicineEndocrinologyGene

Abstract

fetched live from OpenAlex

ATAD3A is a mitochondrial AAA + ATPase protein localized between the inner and outer mitochondrial membrane1; its role includes the stabilization of mitochondrial DNA, the regulation of mitochondrial fission/fusion, and the regulation of cholesterol homeostasis.1,2 Harel-Yoon syndrome (HYS) can result from biallelic deletions in the ATAD3 gene cluster (containing ATAD3A , ATAD3B , and ATAD3C ) and is associated with cerebellar and brainstem atrophy, hypotonia, encephalopathy, and death in the first days and weeks of life.3,4 A less severe presentation has been reported in those with biallelic missense variants.4,5 This attenuated form of HYS presents with developmental delay, cataracts, seizures, and optic and cerebellar atrophy with individuals living into adulthood.4,5 The findings are consistent with a genotype-phenotype correlation based on the variant type.6,7 The authors thank and acknowledge the patient and her family for their participation in this study. Also, the authors would like to acknowledge the Care4Rare Research Consortium.

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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.019
GPT teacher head0.266
Teacher spread0.248 · 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

Citations20
Published2020
Admission routes1
Has abstractyes

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