A genome-wide association study identifies an African-specific locus on chromosome 21q22.12 associated with Burkitt lymphoma risk and survival
Bibliographic record
Abstract
Abstract Burkitt lymphoma (BL) is a B-cell malignancy that disproportionately affects children in sub-Saharan Africa. We performed a genome-wide association study (GWAS) in a combined set of 800 childhood cases and 3865 controls in East Africa, controlling for age, sex, country, population-specific principal components, and a genetic relationship matrix. This analysis identified a BL-protective region within chromosome 21q22.12 tagged by the rs111457485-T allele (odds ratio [OR] = 0.57; p = 5.7 × 10−9). The results were robust in standard meta-analysis (OR = 0.57, p < 1.6 × 10−8), sensitivity analyses (removing genomic outliers and related individuals), and after adjustment for Epstein-Barr virus (EBV) status. Genomic analyses revealed long-range (over ~700 kb) chromatin interactions between the chr21q22.12 locus and the RUNX1-P1 promoter region. The African-specific rs2242780-C allele (r 2 = 0.69 with the rs111457485-T allele in the study controls) showed increased enhancer activity in in-vitro Luciferase reporter assays (p = 4.5 × 10−10), nominating it as the likely functional variant for the BL-associated loci. In addition to the association with reduced BL risk in GWAS (OR = 0.62, p = 2.24 × 10−8), the rs2242780-C allele was also associated with better survival in patients with abdominal-only BL in exploratory analyses (hazard ratio = 0.39, p = 0.038, 106 patients, 59 deaths). Our GWAS uncovered novel BL-protective loci near RUNX1, offering insights into the genetic etiology of BL in African children.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".