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. Author manuscript; available in PMC: 2013 Aug 2.
Published in final edited form as: Clin Cancer Res. 2010 May 11;16(10):2819–2832. doi: 10.1158/1078-0432.CCR-10-0028

Table 3.

Multivariable analysis for SNPs and prostate cancer outcomes. Each SNP is individually assessed in separate multivariable models, controlling for age at prostate cancer diagnosis, PSA at diagnosis, clinical stage, and biopsy Gleason grade. Shown are SNPs with univariate associations at p<0.05 by the “2 degree of freedom test”.

SNP Number
of patients
Biochemical Recurrence
N=351
Clinical Metastases
N=146
Prostate Cancer Specific Death
N=91

HR 95% CI P Value HR 95% CI P Value HR 95% CI P Value
rs10486567 635 1.29 1.00, 1.65 0.046 1.42 0.96, 2.10 0.083 1.1 0.66, 1.82 0.7
rs4962416 628 1.08 0.84, 1.39 0.5 0.87 0.58, 1.29 0.5 0.85 0.50, 1.45 0.6
rs7920517 631 1.53 1.17, 2.01 0.002 1.11 0.73, 1.68 0.6 1.06 0.61, 1.84 0.8
rs7931342 632 1.03 0.80, 1.32 0.8 2.01 1.35, 3.00 0.0006 1.81 1.07, 3.05 0.027
rs10896449 649 1.01 0.79, 1.28 1 1.88 1.28, 2.77 0.001 1.83 1.10, 3.04 0.021
rs2735839 643 0.88 0.67, 1.17 0.4 1.26 0.84, 1.87 0.3 2.22 1.35, 3.66 0.002
rs7008482 617 0.85 0.66, 1.09 0.19 0.87 0.59, 1.28 0.5 1 0.60, 1.65 1
1

The first p-value shown for each SNP was determined by a “2 degree of freedom test” for a global difference across genotypes; the second p-value shown was determined by a log-additive (linear trend) model