A Genome-Wide Association Study of Renal Cell Carcinoma among African Americans
Bibliographic record
Abstract
Genome-wide association studies (GWAS) of renal cell carcinoma (RCC) in populations of European ancestry have identified four susceptibility loci. No GWAS has been conducted among African Americans (AA), who experience a higher incidence of RCC. We conducted a GWAS in which we analyzed 1,136,723 common single-nucleotide polymorphisms (SNP) among 255 cases and 375 controls of African ancestry, and further investigated 16 SNPs in a replication set (140 cases and 543 controls). The 12p11.23 variant rs10771279, located 77 kb from the European-ancestry RCC marker rs718314, was associated with RCC risk in the GWAS (P = 1.2 × 10(-7)) but did not replicate (P = 0.99). Consistent with European-ancestry findings, the A allele of rs7105934 on 11q13.3 was associated with decreased risk [OR, 0.76, 95% confidence interval (CI), 0.64-0.91; P = 0.0022]. The frequency of this allele was higher than that observed in the European-ancestry GWAS (0.56 and 0.07, respectively, among controls). The rs7105934 association was stronger for clear cell RCC (ccRCC: OR, 0.56; P = 7.4 × 10(-7)) and absent for cases of other or unknown histology (OR, 1.02; P = 0.86). Analyses of rs7105934 by subtype among European-ancestry participants from these studies yielded similar findings (ORs 0.69 and 0.92, respectively). This study provides, to our knowledge, the first evidence that rs7105934 is an RCC susceptibility locus among AAs. Our finding that the association with this SNP may be specific to clear-cell RCC is novel and requires additional investigation. Additional investigation of rs10771279 and other suggestive GWAS findings is also needed.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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; 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".