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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 OpenAlexaff
Hamdi Jarjanazi, Hong Li, Irene L. Andrulis, Hilmi Özçelik

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.

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 score0.002
Threshold uncertainty score0.004

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 head0.014
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

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

Citations2
Published2006
Admission routes1
Has abstractyes

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