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Record W7075612975

Mutations in SACS cause atypical and late-onset forms of ARSACS

2010· article· en· W7075612975 on OpenAlexaboutno aff

Bibliographic record

VenueGhent University Academic Bibliography (Ghent University) · 2010
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsPhenotypeMutationHaplotypeCerebellar ataxiaExonFatal familial insomniaExome sequencingAtaxiaSpinocerebellar ataxia
DOInot available

Abstract

fetched live from OpenAlex

Background : Autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSACS) is a complex neurodegenerative disorder caused by mutations in SACS. The phenotype consists of a childhood-onset triad of cerebellar ataxia, peripheral neuropathy, and pyramidal tract signs. Objective : To provide more insight into the prevalence of SACS mutations and the variability of the associated phenotype. Methods : Mutation screening of SACS by direct sequencing and multiplex amplicon quantification for detection of intragenic copy number variations in a cohort of 85 index patients with phenotypes suggestive for ARSACS. Additional short tandem repeat (STR) marker analysis was performed for haplotype sharing. Results : In 11 families, 18 new SACS mutations were found (12.9% of total cohort). Five patients displayed onset ages in adulthood, a feature not known to be associated with ARSACS. The remaining index patients displayed a classic early onset phenotype. Initial phenotypic presentation was atypical in several patients, obscuring the clinical diagnosis. A founder mutation in SACS was identified in 3 Belgian families. In one isolated patient, an intragenic SACS deletion of exons 3-5 was detected. Partial SACS deletions were not previously described. Conclusions : In this study, we enlarge the ARSACS phenotype and the underlying genetic spectrum of SACS mutations. Patients with ARSACS are more common than previously known and risk underdiagnosis due to late onset age and unusual presentation.

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 categoriesMeta-epidemiology (narrow), Bibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0160.017
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.024
GPT teacher head0.238
Teacher spread0.214 · 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.

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

Citations8
Published2010
Admission routes1
Has abstractyes

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