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Record W2082210819 · doi:10.1002/mus.21665

<i>Fus</i> gene mutations in familial and sporadic amyotrophic lateral sclerosis

2010· article· en· W2082210819 on OpenAlexafffund
Rosa Rademakers, Heather Stewart, Mariely DeJesus‐Hernandez, Charles Krieger, Neill R. Graff‐Radford, Marife Fabros, Hannah Briemberg, Neil R. Cashman, Andrew Eisen, Ian R. Mackenzie

Bibliographic record

VenueMuscle & Nerve · 2010
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsUniversity of British Columbia
FundersNational Institute on AgingCanadian Institutes of Health Research
KeywordsAmyotrophic lateral sclerosisGeneticsMutationGeneDegenerative diseaseMedicineBiologyCentral nervous system diseaseNeurosciencePathologyDisease

Abstract

fetched live from OpenAlex

Mutations in the fused in sarcoma (FUS) gene have recently been found to cause familial amyotrophic lateral sclerosis (FALS). We screened FUS in a cohort of 200 ALS patients [32 FALS and 168 sporadic ALS (SALS)]. In one FALS proband, we identified a mutation (p.R521C) that was also present in her affected daughter. Their clinical phenotype was remarkably similar and atypical of classic ALS, with symmetric proximal pelvic and pectoral weakness. Distal weakness and upper motor neuron features only developed late. Neuropathological examination demonstrated FUS-immunoreactive neuronal and glial inclusions in the spinal cord and many extramotor regions, but no TDP-43 pathology. We also identified a novel mutation (p.G187S) in one SALS patient. Overall, FUS mutations accounted for 3% of our non-SOD1, non-TARDBP FALS cases and 0.6% of SALS. This study demonstrates that the phenotype with FUS mutations extends beyond classical ALS cases. Our findings suggest there are specific clinicogenetic correlations and provide the first detailed neuropathological description.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.268
Teacher spread0.242 · 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 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

Citations121
Published2010
Admission routes2
Has abstractyes

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