Skip to main content
. 2013 Dec 29;13:74. doi: 10.1186/1471-2490-13-74

Table 2.

Genotype-phenotype association analysis for variants genotyped in stage 2 analysis

Characteristic
PSA (n = 462)
Family PCa (n = 458)
Family Ca (n = 451)
Age of PCa presentation ¥ (n = 265)
Gleason score ¥ (n = 180)
Grade ¥ (n = 147)
Marker (risk allele) OR (95% CI) ‡* P § Q OR (95% CI) P § Q OR (95% CI) P§ Q OR (95% CI) P § Q OR (95% CI) P § Q OR (95% CI) P § Q
rs6983561 (C)
1.35 (1.04-1.74)
0.02
0.40
1.40 (0.86-2.27)
0.18
0.60
0.91 (0.51-1.62)
0.75
0.84
0.81 (0.57-1.15)
0.24
0.68
1.11 (0.72-1.71)
0.63
0.81
1.73 (1.03-2.92)
0.04
0.35
rs1859962 (G)
1.28 (0.96-1.71)
0.09
0.60
1.00 (0.61-1.65)
0.99
0.99
0.58 (0.29-1.16)
0.12
0.60
0.95 (0.64-1.42)
0.82
0.86
1.22 (0.76-1.95)
0.42
0.76
1.84 (1.05-3.22)
0.03
0.35
rs13254738 (C)
1.15 (0.87-1.52)
0.33
0.60
1.04 (0.61-1.79)
0.88
0.93
1.12 (0.67-1.89)
0.66
0.79
1.06 (0.73-1.54)
0.75
0.86
0.72 (0.46-1.13)
0.15
0.68
1.16 (0.67-1.99)
0.60
0.81
rs10090154 (T)
0.89 (0.64-1.24)
0.50
0.75
0.70 (0.34-1.43)
0.33
0.60
1.44 (0.74-2.79)
0.29
0.60
1.03 (0.64-1.65)
0.91
0.91
0.79 (0.43-1.44)
0.43
0.76
1.28 (0.66-2.47)
0.47
0.76
rs4242382 (A)
0.81 (0.61-1.09)
0.17
0.60
0.87 (0.50-1.50)
0.62
0.79
1.20 (0.66-2.18)
0.54
0.75
1.06 (0.72-1.57)
0.78
0.86
1.21 (0.74-1.96)
0.45
0.76
1.46 (0.83-2.56)
0.19
0.68
rs1465618 (A) 1.29 (0.80-2.08) 0.29 0.60 1.46 (0.68-3.16) 0.33 0.60 1.43 (0.58-3.47) 0.44 0.71 0.71 (0.39-1.29) 0.26 0.68 1.54 (0.80-2.95) 0.20 0.68 1.30 (0.56-3.01) 0.54 0.81

Genotype-phenotype association analysis for PSA (<20 μg/L = 0, ≥20 μg/L = 1), Family PCa (defined as first degree relatives affected by prostate cancer; no = 0, yes = 1) and Family Ca (defined as first and second degree relatives affected with any cancer; no = 0, yes = 1) was performed using all available samples (cases and controls).

¥ Genotype-phenotype association analysis for Age of prostate cancer presentation (<70 yrs = 1, ≥70 yrs = 0), Gleason score (≤7 = 0, >7 = 1) and tumor Grade (well/moderate = 0, poor = 1) was performed on prostate cancer cases only.

OR (odds ratios) and 95% CI (confidence intervals) were estimated using unconditional logistic regression models.

*PSA estimates were additionally controlled for Age.

§Un-corrected P-values derived using logistic regression analysis.

Benjamini and Hochberg’s method to correct for false discovery rate [26] was used to generate Q-values.