Genetic variability in<i>N-acetyltransferase 2</i>gene determines susceptibility to childhood lymphoid or myeloid leukemia in Brazil
Bibliographic record
Abstract
Seven single nucleotide polymorphisms (SNPs) were genotyped in 535 Brazilian children (158 with acute lymphoblastic leukemia [ALL], 74 with acute myeloid leukemia [AML] and 303 controls). The subjects were classified as fast or slow acetylators based on their genotypic variants. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals. N-acetyltransferase 2 (NAT2) SNP 341T > C frequency was higher among both leukemia subtypes compared to controls. There was also a significant difference in the frequency of SNP 590G > A in AML (OR, 1.57, 1.07-2.30). The haplotypes *14A, *5A and *5C conferred an increased risk in cases of ALL, while *14E, *6B and *6F conferred an increased risk for AML. An age-dependent analysis demonstrated that the NAT2 slow-acetylators conferred an increased risk association with leukemia in children ≤ 1 year old (OR, 7.91, 3.87-16.16) and also in older children (1 ≥ 10 years old) (OR, 1.53, 1.01-2.31). However, in this latter group the magnitude was reduced. The results demonstrate that the different NAT2 haplotypes contribute to the risk of either ALL or AML.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".