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Record W2161247928 · doi:10.1177/0883073812458538

Novel Mutations in <i>FA2H</i> -Associated Neurodegeneration

2012· article· en· W2161247928 on OpenAlexafffund
Rosemarie Rupps, Juliette Hukin, Martha Balicki, Saadet Mercimek‐Mahmutoglu, Arndt Rolfs, Cristina Dias

Bibliographic record

VenueJournal of Child Neurology · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeurological diseases and metabolism
Canadian institutionsChild and Family Research InstituteRare Disease FoundationUniversity of British Columbia
FundersCanadian Child Health Clinician Scientist Program
KeywordsHereditary spastic paraplegiaNeurodegenerationLeukodystrophyMedicineSpasticityNeuroscienceBioinformaticsGeneticsPhenotypePathologyGeneBiologyPhysical medicine and rehabilitationDisease

Abstract

fetched live from OpenAlex

Hereditary spastic paraplegias and related genetically heterogeneous disorders may be difficult to distinguish clinically. The FA2H gene has been associated with autosomal recessive neurodegenerative phenotypes encompassing spastic paraplegia with or without dystonia, and demyelinating leukodystrophy. To date, few individuals with mutations in the FA2H gene have been described. We report a 5-year-old girl of mixed Filipino and Vietnamese origin who presented with progressive lower limb spasticity and periventricular leukomalacia. The clinical diagnosis of FA2H-associated neurodegeneration was confirmed on the basis of 2 novel mutations in compound heterozygosity in the FA2H gene (p.S70L/p.P323L). This family highlights that FA2H-associated disorders may be underrecognized in children with neurodegeneration of many different ethnicities. Magnetic resonance imaging features play an important role as diagnostic clues in this and other hereditary spastic paraplegias. The consideration of this diagnosis is essential in providing families with important information on prognosis, as well as accurate genetic counseling.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 integrity0.0000.001
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 head0.266
Teacher spread0.237 · 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 designBench or experimental
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

Citations25
Published2012
Admission routes2
Has abstractyes

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