Table 4.
Interaction analysis between three SNPs genotypes and waist circumference on breast cancer risk.
Genotypes | Waist circumference (cm) | Cases | Controls | Crude OR (95% CI) | Adjusted OR (95% CI)a | P a |
---|---|---|---|---|---|---|
rs17467825 | ||||||
AA | ≥80 | 283 (35.8%) | 255 (28.1%) | 1.00 | 1.00 | |
AA | <80 | 94 (11.9%) | 147 (16.2%) | 0.58 (0.43–0.79) | 0.69 (0.49–0.98) | 0.037 |
AG | ≥80 | 249 (31.5%) | 259 (28.5%) | 0.86 (0.68–1.10) | 0.85 (0.66–1.09) | 0.203 |
AG | <80 | 76 (9.6%) | 155 (17.1%) | 0.44 (0.32–0.61) | 0.46 (0.31–0.66) | <0.001 |
GG | ≥80 | 71 (9.0%) | 49 (5.4%) | 1.31 (0.87–1.95) | 1.22 (0.80–1.87) | 0.342 |
GG | <80 | 18 (2.3%) | 44 (4.8%) | 0.37 (0.21–0.65) | 0.40 (0.21–0.75) | 0.004 |
P for multiplicative interaction | 0.057 | |||||
| ||||||
rs2298850 | ||||||
GG | ≥80 | 272 (34.1%) | 251 (27.3%) | 1.00 | 1.00 | |
GG | <80 | 95 (11.9%) | 142 (15.4%) | 0.62 (0.46–0.85) | 0.72 (0.51–1.03) | 0.069 |
GC | ≥80 | 264 (33.1%) | 270 (29.3%) | 0.90 (0.71–1.14) | 0.87 (0.67–1.12) | 0.280 |
GC | <80 | 77 (9.7%) | 158 (17.2%) | 0.45 (0.32–0.62) | 0.46 (0.32–0.67) | <0.001 |
CC | ≥80 | 71 (8.9%) | 51 (5.5%) | 1.29 (0.87–1.92) | 1.18 (0.77–1.79) | 0.443 |
CC | <80 | 18 (2.3%) | 48 (5.2%) | 0.35 (0.20–0.61) | 0.37 (0.20–0.70) | 0.002 |
P for multiplicative interaction | 0.031 | |||||
| ||||||
rs3755967 | ||||||
CC | ≥80 | 277 (34.9%) | 252 (27.6%) | 1.00 | 1.00 | |
CC | <80 | 95 (12.0%) | 144 (15.8%) | 0.61 (0.44–0.83) | 0.7 (0.49–0.99) | 0.045 |
CT | ≥80 | 257 (32.4%) | 267 (29.2%) | 0.87 (0.68–1.11) | 0.85 (0.66–1.10) | 0.222 |
CT | <80 | 75 (9.4%) | 153 (16.8%) | 0.44 (0.32–0.62) | 0.46 (0.32–0.67) | <0.001 |
TT | ≥80 | 72 (9.1%) | 50 (5.5%) | 1.31 (0.88–1.95) | 1.21 (0.79–1.84) | 0.379 |
TT | <80 | 18 (2.2%) | 47 (5.1%) | 0.35 (0.20–0.62) | 0.37 (0.20–0.70) | 0.002 |
P for multiplicative interaction | 0.039 |
aAdjusted by age, menopausal status, BMI, family history, income, and education.