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Record W2137077630 · doi:10.1002/ana.24346

Defining neurodegeneration on <scp>G</scp>uam by targeted genomic sequencing

2015· article· en· W2137077630 on OpenAlexafffund
John C. Steele, Ilaria Guella, Chelsea Szu‐Tu, Michelle K. Lin, Christina Thompson, Daniel M. Evans, Holly E. Sherman, Carles Vilariño‐Güell, Katrina Gwinn, Huw R. Morris, Dennis W. Dickson, Matthew J. Farrer

Bibliographic record

VenueAnnals of Neurology · 2015
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchLeading Edge Endowment Fund
KeywordsAmyotrophic lateral sclerosisNeurodegenerationParkinsonismPathogenesisDementiaGeneticsBiologyOptineurinDiseaseMedicinePathology

Abstract

fetched live from OpenAlex

OBJECTIVE: Amyotrophic lateral sclerosis/parkinsonism-dementia complex has been described in Guam, Western Papua, and the Kii Peninsula of Japan. The etiology and pathogenesis of this complex neurodegenerative disease remains enigmatic. METHODS: In this study, we have used targeted genomic sequencing to evaluate the contribution of genetic variability in the pathogenesis of amyotrophic lateral sclerosis, parkinsonism, and dementia in Guamanian Chamorros. RESULTS: Genes previously linked to or associated with amyotrophic lateral sclerosis, parkinsonism, dementia, and related neurodegenerative syndromes were sequenced in Chamorro subjects living in the Mariana Islands. Homozygous PINK1 p.L347P, heterozygous DCTN1 p.T54I, FUS p.P431L, and HTT (42 CAG repeats) were identified as pathogenic mutations. INTERPRETATION: The findings explain the clinical, pathologic, and genetic heterogeneity observed in some multi-incident families and contribute to the excess incidence of neurodegeneration previously reported on Guam.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.115
GPT teacher head0.339
Teacher spread0.224 · 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

Citations68
Published2015
Admission routes2
Has abstractyes

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