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Record W2924785753 · doi:10.1212/nxg.0000000000000317

Somatic expansion of the <i>C9orf72</i> hexanucleotide repeat does not occur in ALS spinal cord tissues

2019· article· de· W2924785753 on OpenAlexafffund
Jay P. Ross, Claire S. Leblond, Hélène Catoire, Kathryn Volkening, Michael J. Strong, Lorne Zinman, Janice Robertson, Patrick A. Dion, Guy A. Rouleau

Bibliographic record

VenueNeurology Genetics · 2019
Typearticle
Languagede
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreOccupational Cancer Research CentreMontreal Neurological Institute and Hospital
FundersSchulich School of Medicine and DentistryUniversity of TorontoMcGill University
KeywordsC9orf72Amyotrophic lateral sclerosisBiologyTrinucleotide repeat expansionSpinal cordSomatic cellAnatomyGeneticsPathologyMedicineGeneNeuroscienceDisease

Abstract

fetched live from OpenAlex

Objective To test for somatic C9orf72 hexanucleotide repeat expansion (HRE) and hexanucleotide repeat length instability in the spinal cord of amyotrophic lateral sclerosis (ALS) cases. Methods Whole and partial spinal cords of 19 ALS cases were dissected into transversal sections (5 mm thick). The presence of C9orf72 HRE was tested in each independent section using RepeatPrimed PCR and amplicon-size genotyping. Index measures for the testing of mosaicism were obtained through serial dilutions of genomic DNA from an individual carrying a germline C9orf72 HRE in the genomic DNA of an individual without a C9orf72 HRE. Results None of the sections examined supported the presence of a subpopulation of cells with a C9orf72 HRE. Moreover, the C9orf72 hexanucleotide repeat lengths measured were identical across all the spinal cord sections of each individual patient. Conclusions We did not observe somatic instability of the C9orf72 HRE in disease relevant tissues of ALS cases.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.307
Teacher spread0.281 · 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

Citations10
Published2019
Admission routes2
Has abstractyes

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