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. 2018 Oct 12;111(4):350–364. doi: 10.1093/jnci/djy132

Table 3.

Associations of the height genetic score (height-GS) with height and traditional breast cancer risk factors*

Variable Number of participants Summary effect SE P % variation explained
Measured height, cm
 All participants 7657 1.012 0.029 7.0 × 10−241 13.4
  BRCA1 carriers 4502 1.025 0.038 3.8 × 10−149 14.0
  BRCA2 carriers 3155 0.996 0.047 2.5 × 10−94 12.6
 Case participants 3653 1.028 0.041 2.6 × 10−128 14.7
 Control participants 4004 1.000 0.042 1.1 × 10−116 12.3
Traditional risk factors
 BMI, kg/m2 7516 −0.010 0.024 .66
 Weight, kg 7569 0.813 0.065 2.7 × 10−35
 Age at baseline, y 8578 0.123 0.036 7.3 × 10−4
 Age at menarche, y 7459 0.028 0.007 9.3 × 10−5
 Parous, yes vs no 8394 −0.010 0.011 .35
 Age at first live birth, y 6290 −0.014 0.025 .58
 Menopausal status, pre vs post 8386 0.011 0.009 .20
 Age at menopause, y 4336 −0.082 0.037 .03
*

Regression coefficient is presented for continuous variables and natural log-scale odds ratio for binary variables, per unit increase of the H-GS. BMI = body mass index; SE = standard error.

P values were calculated from linear regression models for all variables except for parity and menopausal status (logistic regression models). All P values are two-sided.