Human leukocyte antigen class I alleles and the risk of chronic myelogenous leukemia: a meta-analysis
Bibliographic record
Abstract
A number of different human leukocyte antigen (HLA) allele associations with chronic myelogenous leukemia (CML) have been previously reported. The specific associations reported in one population, however, are rarely replicated in other populations. We attempted to explore these associations by performing a meta-analysis of published studies. Following a Medline search, we identified four studies which presented raw data on all allele associations with CML (significant and non-significant). Meta-analysis of these revealed a significant risk association with the HLA-A*02 (pooled odds ratio 1.33, 95% confidence interval 1.10-1.61) allele and a significant protective effect with the HLA-B*35 allele (pooled odds ratio 0.64, 95% confidence interval 0.48-0.86). To our knowledge this is the first study to demonstrate the epidemiologic association between HLA-A*02 and the risk of CML, and we discuss this in the context of recent immunological studies reporting data on BCR-ABL fusion peptide presentation and subsequent immune response. Our findings suggest that individual epidemiological studies may lack statistical power, or may have other interfering factors which prevent the unmasking of overall associations. Meta-analyses of published studies may overcome these limitations and may prove useful in uncovering allele-disease associations.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.019 | 0.010 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".