Table 4.
Conditional logistic regression analysis of discordant sibships for the association between CYP17 and CYP19 genotypes and breast cancer
| Gene (sibling sets/cases/controls) | Affected (n) | Unaffected (n) | Adjusted odds ratios for breast cancer (95% CI) | |
| CYP17 (165/171/188) | ||||
| Dominant model | TT | 59 | 56 | 1.00 |
| TC/CC | 112 | 132 | 0.86 (0.47–1.59) | |
| Recessive model | TC/TT | 146 | 154 | 1.00 |
| CC | 25 | 34 | 0.61 (0.27–1.41) | |
| General model | TT | 59 | 56 | 1.00 |
| TC | 87 | 98 | 0.86 (0.47–1.59) | |
| CC | 25 | 34 | 0.55 (0.21–1.42) | |
| Additive model (trend per allele) | 0.77 (0.49–1.21) | |||
| CYP19 (no. of TTTA repeats) (169/175/193) | ||||
| Dominant model | (TTTA)<10(TTTA)<10 | 67 | 78 | 1.00 |
| (TTTA)≥10(TTTA)<10/(TTTA)≥10(TTTA)≥10 | 108 | 115 | 1.24 (0.63–2.46) | |
| Recessive model | (TTTA)<10(TTTA)<10/(TTTA)≥10(TTTA)<10 | 159 | 173 | 1.00 |
| (TTTA)≥10(TTTA)≥10 | 16 | 20 | 0.82 (0.30–2.24) | |
| General model | (TTTA)<10(TTTA)<10 | 67 | 78 | 1.00 |
| (TTTA)≥10(TTTA)<10 | 92 | 95 | 1.26 (0.64–2.51) | |
| (TTTA)≥10(TTTA)≥10 | 16 | 20 | 0.98 (0.30–3.18) | |
| Additive model (trend per allele) | 1.11 (0.65–1.89) | |||
| Dominant model | (TTTA)other(TTTA)other | 77 | 95 | 1.00 |
| (TTTA)11(TTTA)other/(TTTA)11(TTTA)11 | 98 | 98 | 1.77 (0.90–3.47) | |
| Recessive model | (TTTA)other(TTTA)other/(TTTA)11(TTTA)other | 165 | 179 | 1.00 |
| (TTTA)11(TTTA)11 | 10 | 14 | 0.66 (0.19–2.33) | |
| General model | (TTTA)other(TTTA)other | 77 | 95 | 1.00 |
| (TTTA)11(TTTA)other | 88 | 84 | 1.84 (0.93–3.63) | |
| (TTTA)11(TTTA)11 | 10 | 14 | 1.04 (0.27–4.08) | |
| Additive model (trend per allele) | 1.38 (0.79–2.40) | |||
Odds ratios were adjusted for age (in years), hormone replacement use (ever/never), oral contraceptive use (ever/never), age at menarche (in years), full term pregnancies (yes/no). Each sibling set had at least one breast cancer case and one sister control. All the subjects included in the analysis had information for all the covariate variables. CI, confidence interval.