Role of DNA mismatch repair genetic polymorphisms in the risk of childhood acute lymphoblastic leukaemia
Bibliographic record
Abstract
Acute lymphoblastic leukaemia (ALL) is the most common childhood cancer. Genetic variants in the coding regions of the mismatch repair genes MLH1 (Ile-219Val) and MSH3 (Arg-940Glu and Thr-1036Ala) could contribute to an individual's susceptibility as modifiers in leukaemogenesis. To investigate this possibility, we conducted a case-control study on 287 children with ALL and 320 healthy controls both of French-Canadian origin. MLH1 and MSH3 variants, when taken independently, seemed to play little or no role in the aetiology of childhood ALL. However, when the MLH1 genotypes were combined with genotypes previously shown to influence ALL susceptibility, we found that the MLH1 variant Val-219 further increases the risk of GSTM1 null and CYP1A1*2A genotypes [combined odds ratio (OR) = 6.0, P = 0.002] as well as that of CYP2E1*5 (OR = 15.8, P = 0.001). No association was found with MSH3 variants. This study suggests an association of leukaemogenesis in children with both xenobiotic metabolism and DNA repair, and thus points to the effect of environmental exposure.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".