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Glutathione S-transferase P1 genetic polymorphisms and susceptibility to childhood acute lymphoblastic leukaemia

2002· article· en· W2093257129 on OpenAlexaffabout
Maja Krajinović, Damian Labuda, Daniel Sinnett

Bibliographic record

VenuePharmacogenetics · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlutathione Transferases and Polymorphisms
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité de Montréal
Fundersnot available
KeywordsGSTP1Odds ratioGlutathione S-transferaseGenotypeGeneticsBiologyGlutathioneConfidence intervalGenetic predispositionAlleleCase-control studyImmunologyOncologyMedicineInternal medicineGeneEnzymeBiochemistry

Abstract

fetched live from OpenAlex

Glutathione S-transferase pi (GSTP1) is involved in the metabolism of carcinogens. We assessed the association of GSTP1 genetic polymorphisms and the susceptibility to childhood acute lymphoblastic leukaemia (ALL) by conducting a case-control study on 278 ALL patients and 303 healthy controls, both of French-Canadian origin. The carriers of the GSTP1*B variant (only the Val105 substitution) were found to be associated with an increased risk of ALL [odds ratio (OR) = 1.5, 95% confidence interval (CI) 1.1-2.0], whereas the GSTP1*C variant (both Val105 and Val114) was underrepresented in cases. Thus, genetic variants of GSTP1 that are expressed at the protein level appear to contribute differently to the risk of ALL, probably because of distinct substrate specificities. When combined with other GST genotypes, we found that the combination of GSTP1*B and GSTM1 null genotypes further increased the risk of ALL (OR = 2.1; 95% CI-1.3-3.4). These findings suggest that GSTP1 variants (alone or combined with other GSTs) represent significant genetic determinants of childhood ALL.

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)0.002
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 score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.011
GPT teacher head0.240
Teacher spread0.229 · 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

Citations70
Published2002
Admission routes2
Has abstractyes

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