Genome-wide association study using whole-genome sequencing to identify a novel locus associated with cardiomyopathy risk in adult survivors of childhood cancer: Utility of a two-stage analytic approach.
Bibliographic record
Abstract
1516 Background: Survivors of childhood cancer are at increased risk of treatment-related cardiomyopathy, found to be modified by genetic factors. To further investigate genetic risks of cardiomyopathy, we utilized whole-genome sequencing (WGS) in a clinically phenotyped cohort of long-term survivors of pediatric cancer. Methods: Utilizing a novel 2-stage analytic approach, we first performed association analysis for ejection fraction (EF) using WGS data in European-descent childhood cancer survivors from the St. Jude Lifetime Cohort (SJLIFE). EF was analyzed as a continuous variable to increase statistical power for genetic discovery. Common variants (minor allele frequency (MAF) > 0.05) were analyzed using linear regression, adjusting for age at diagnosis, sex, age at follow-up, doses of anthracycline and average radiation dose to the heart, and eigenvectors. Rare/low-frequency variants were aggregated by different functional annotations and agnostic 4-kb sliding windows, testing jointly using Burden/SKAT test. In the second stage, only the variant showing genome-wide significance with EF was tested for its association with cardiomyopathy risk. Results: Among the 2,015 SJLIFE survivors with WGS data, a locus on 6p21.2 near KCNK17achieved genome-wide significance with EF (rs2815063; MAF = 0.13; per allele beta = -0.016; P = 2.10´10-8), which replicated in 320 SJLIFE African survivors (MAF = 0.48; beta = -0.015; P = 0.004). In SJLIFE Europeans, 282 had a CTCAE Grade 2-5 cardiomyopathy. rs2815063 was significantly associated with increased risk of cardiomyopathy [per allele odds ratio (OR) = 1.38; P = 0.02], which replicated in 3,957 European survivors from the Childhood Cancer Survivor Study (163 CTCAE Grade 3-5 self-reported cases; per allele OR = 1.39; P = 0.038). rs2815063 alters DNA binding motif of EWSR1-FLI1, whose expression was found to lead to cardiomyopathy and death due to chronic cardiac failure in mice. Conclusions: Using a 2-stage approach, we report a novel locus for cardiomyopathy in childhood cancer survivors, which warrants additional work to gain mechanistic insights.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".