Table 5. Factors of the best risk prediction models for pre- and postmenopausal women.
| OR | 95% CI | P-valuesa | |
|---|---|---|---|
| Premenopausal women | |||
| Breastfeeding (yes) | 0.48 | 0.29–0.81 | 0.006 |
| Benign breast disease (yes) | 2.37 | 1.13–4.99 | 0.023 |
| TOX3-rs3803662 (CT+TT) | 4.25 | 1.86–9.71 | 0.001 |
| ESR1-rs2046210 (CT+TT) | 2.00 | 1.20–3.34 | 0.008 |
| 8q24-rs13281615 (GG) | 1.82 | 1.09–3.04 | 0.022 |
| SLC4A7-rs4973768 (TT) | 6.83 | 1.93–24.16 | 0.003 |
| Postmenopausal women | |||
| BMI (≥ 25 kg/m2) | 1.83 | 1.17–2.86 | 0.009 |
| Breastfeeding (yes) | 0.47 | 0.30–0.73 | 0.001 |
| Hyperlipidemia (yes) | 2.07 | 1.19–3.61 | 0.010 |
| Serum testosterone levels (≥ 0.13 ng/mL) | 1.83 | 1.22–2.75 | 0.003 |
| Serum 25-hydroxyvitamin D levels (≥ 20 ng/mL) | 0.29 | 0.19–0.44 | < 0.001 |
| TOX3-rs3803662 (TT) | 1.74 | 1.14–2.64 | 0.010 |
| ESR1-rs2046210 (CT+TT) | 1.90 | 1.26–2.87 | 0.002 |
OR, odds ratio; CI, confidence interval. aLogistic regression analysis with adjustment for age.