Risk of Early-Onset Prostate Cancer in Relation to Germ Line Polymorphisms of the Vitamin D Receptor
Bibliographic record
Abstract
Vitamin D inhibits prostate cancer cell growth, angiogenesis, and metastasis. These actions are mediated by the vitamin D receptor. We examined associations between prostate cancer risk and five polymorphisms in the VDR gene: four single nucleotide polymorphisms (FokI, BsmI, ApaI, and TaqI restriction sites) and the polyadenylic acid microsatellite. Specifically, we genotyped population-based samples of young African Americans (113 cases and 121 controls) and Whites (232 cases and 171 controls) and members of 98 predominantly White families with multiple cases of prostate cancer. Among Whites, there was no evidence for association between prostate cancer risk and alleles at any of the five polymorphic sites regardless of how the men were ascertained. Moreover, estimated five-locus haplotype frequencies were similar in White cases and controls. Among African Americans, prostate cancer risk was associated with homozygosity for the F allele at the FokI site (odds ratio 1.9, 95% confidence interval 1.0-3.3). In addition, estimated haplotype frequencies differed significantly (P < 0.01) between African American cases and controls. These findings need replication in other studies of African Americans. Homozygosity for the F allele at the FokI site is more prevalent in the African American population than in U.S. Whites. If the FokI association noted here were causal, this difference could account for some of the disease burden among African Americans and some of the excess risk in African Americans compared with Whites.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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; a candidate call from one teacher head, 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".