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Record W2157600302 · doi:10.1155/2006/951857

Genome Wide Screening of CAG Trinucleotide Repeat Lengths in Breast Cancer

2006· article· en· W2157600302 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDisease Markers · 2006
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsLunenfeld-Tanenbaum Research InstituteUniversity of TorontoMount Sinai Hospital
FundersMedical Research and Materiel CommandNational Cancer InstituteNational Institutes of Health
KeywordsTrinucleotide repeat expansionBreast cancerGeneticsBiologyPopulationCancerGenomeGeneMedicineAllele

Abstract

fetched live from OpenAlex

Trinucleotide repeat sequences are widely present in the human genome. The expansion of CAG repeats have been studied very extensively, and shown to be the causative mechanism of more than 40 neuromuscular and neurodegenerative diseases. In the present study, we performed a genome wide screening of CAG repeat expansions in non-neoplastic tissues of 212 breast cancer cases and 196 healthy population controls using the Repeat Expansion Detection (RED) method. Distribution of CAG repeat lengths in cases was not significantly different from controls. However, dramatically expanded CAG repeats were detected in 2.4% (n=5) of breast cancer cases where no repeats of similar size were detected in any of the healthy population controls. Although this trend shows only borderline significance (p=0.06), this finding suggests a potential involvement of CAG repeat expansion in breast cancer susceptibility. These repeats may potentially affect the function of cancer predisposition genes, with a similar mechanism as in neurodegenerative and neuromuscular disorders.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.014
GPT teacher head0.245
Teacher spread0.231 · 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