A genome-wide association study identifies novel loci associated with susceptibility to chronic myeloid leukemia
Bibliographic record
Abstract
In the current study, we identified 2 genetic markers for susceptibility to chronic myeloid leukemia (CML) using a genome-wide analysis. A total of 2744 subjects (671 cases and 2073 controls) were included, with 202 Korean CML patients and 497 control subjects enrolled as a discovery set. Significant findings in the discovery set were validated in a second Korean set of 237 patients and 1000 control subjects and in an additional Canadian cohort of European descent, including 232 patients and 576 control subjects. Analysis revealed significant associations of 2 candidate loci, 6q25.1 and 17p11.1, with CML susceptibility, with the lowest combined P values of 2.4 × 10⁻⁶ and 1.3 × 10⁻¹², respectively. Candidate genes in those regions include RMND1, AKAP12, ZBTB2, and WSB1. The locus 6q25.1 was validated in both Korean and European cohorts, whereas 17p11.1 was validated only in the Korean cohort. These findings suggest that genetic variants of 6q25.1 and 17p11.1 may predispose one to the development of CML.
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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; 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".