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Record W2061539831 · doi:10.1158/0008-5472.can-03-2861

Association of Homozygous Wild-Type Glutathione S-Transferase M1 Genotype with Increased Breast Cancer Risk

2004· article· en· W2061539831 on OpenAlexaff
Nady Roodi, William D. Dupont, Jason H. Moore, Fritz F. Parl

Bibliographic record

VenueCancer Research · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlutathione Transferases and Polymorphisms
Canadian institutionsinVentiv Health Clinical
FundersNational Cancer Institute
KeywordsGenotypeGenotypingBreast cancerGlutathione S-transferaseAlleleConfidence intervalBiologyInternal medicineCancerWild typeOncologyGlutathioneCase-control studyGeneticsMolecular biologyMedicineGeneMutantEnzyme

Abstract

fetched live from OpenAlex

More than 500 studies have examined the association of the glutathione S-transferase M1 (GSTM1) genotype with various malignancies yielding inconsistent results. The genotyping was based on a PCR assay that identified the GSTM1 null (-/-) genotype but did not distinguish homozygous wild-type (+/+) and heterozygous (+/-) individuals. We developed an assay that allowed the definition of +/+, +/-, and -/- genotypes by separate identification of wild-type and null alleles, which were found with frequencies of 0.225 and 0.775, respectively, in Caucasian women. We applied the new assay to a breast cancer case-control study and identified the +/+ genotype in 14 (6.9%) of 202 control subjects compared with 37 (18.2%) of 203 patients. Compared with women with the -/- genotype, the relative risk of breast cancer for the +/+ genotype was 2.83 (95% confidence interval, 1.45-5.59; P = 0.002), suggesting a protective effect of the GSTM1 deletion.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.015
GPT teacher head0.305
Teacher spread0.290 · 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

Citations69
Published2004
Admission routes1
Has abstractyes

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