rs7931342

This genome-wide association study of 2511 familial prostate cancer cases and 1382 controls identified significant associations in six regions previously linked to prostate cancer risk. Most notably, rs138042437 at 8q24.21 achieved an exceptionally large effect size (OR=13.3, p=1.7e-8) and demonstrated strong co-segregation with disease in 116 affected relatives (p=8.5e-11). The study identified a rare segregating haplotype at 8q24.21 containing three SNPs (rs183373024, rs188140481, rs138042437) that characterized a prostate cancer predisposition locus.

Developed a multi-state genetic variant-based Markov model for personalized prostate cancer risk stratification using Finnish population data. The model incorporates three primary SNPs (rs4242382 OR=1.75, rs138213197 OR=3.60, rs200331695 OR=6.0) and an extended panel of genetic variants to predict 10-year PCa risk ranging from 43% in the top 5% risk group to 11% in the bottom 60%, with recommendations for age-optimized screening (47 years for highest risk vs 55+ years for average/low risk) and risk-adapted interscreening intervals (< 1 year to 6+ years).

Comprehensive resequencing of a 122.9 kb region on chromosome 11q13.3 identified 644 polymorphic loci, including 166 novel variants not present in public databases. The study focused on fine-mapping prostate cancer susceptibility loci including rs10896438, rs12793759, rs10896449, and rs11228565, cataloguing 22-25 highly correlated surrogates (r² ≥ 0.8) for each locus and identifying functional regulatory elements. Indel polymorphisms comprised 13.4% of identified variants, with 58.5% novel to this study.

This study demonstrates that 13 of 14 previously identified prostate cancer risk SNPs are significantly associated with early-onset prostate cancer (EO PCa; diagnosed ≤55 years), with effect sizes ranging from OR=1.15 to OR=1.55 per risk allele. Early-onset cases carried significantly more cumulative risk alleles (mean 12.4) compared to older-onset CGEMS cases (mean 11.9; p=1.7×10⁻⁵), suggesting common genetic variants play an increased role in earlier disease manifestation.

Analysis of 20 GWAS-identified prostate cancer susceptibility SNPs in 601 patients treated with androgen-deprivation therapy (ADT) found that rs16901979 at 8q24 was significantly associated with prostate cancer-specific mortality (HR = 0.63, 95% CI 0.45-0.87, p = 0.005) and rs7931342 at 11q13 was associated with mortality (HR = 0.65, 95% CI 0.43-0.98, p = 0.038). These variants may help predict survival outcomes in prostate cancer patients undergoing ADT treatment.

Case-control study of 127 African American prostate cancer cases and 345 controls from the Flint Men's Health Study examining 24 SNPs previously associated with prostate cancer in European populations. Found nominal evidence (P<0.05) for association with three 8q24 SNPs (rs6983561 OR=1.55, rs16901979 OR=1.60, rs7000448 OR=1.41) and two 10q11 SNPs (rs7904463, rs10740051 OR=0.51), replicating 8q24 findings in African Americans and providing first evidence for MSMB region association in this population.

This paper applies a bias correction method for odds ratio estimates from GWAS discovery data, demonstrating that the 'winner's curse' affects initial effect size estimates. The authors applied conditional maximum likelihood estimation to correct bias in GWAS findings from multiple complex diseases (breast cancer, colorectal cancer, lung cancer, prostate cancer, type I and II diabetes) and show that bias-adjusted odds ratios are substantially more consistent with subsequent replication studies, with selection-adjusted confidence intervals providing better uncertainty quantification than uncorrected estimates.