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Table 3 Coefficients (standard errors) for covariates in multi-variable linear model predicting the square root of percent mammographic density, overall and by study site

From: A genome-wide linkage study of mammographic density, a risk factor for breast cancer

Covariate

All sites together (n= 3,253)

Australia (n= 1,534)

Northern California

(n= 578)

Ontario

(n= 1,166)

Intercept

6.17 (0.72)

5.56 (1.00)

6.62 (1.69)

6.01 (1.33)

Age at mammogram

-0.057 (0.0042)

-0.056 (0.0056)

-0.040 (0.011)

-0.061 (0.0076)

Weight, kg

-0.065 (0.0024)

-0.058 (0.0034)

-0.063 (0.0054)

-0.074 (0.0044)

Height, cm

0.041 (0.0044)

0.041 (0.0060)

0.033 (0.103)

0.047 (0.0081)

Weight squared (centered at 70 kg)

0.00050 (6.9e-5)

0.00049 (1.1e-4)

0.00049 (1.1e-4)

0.00048 (1.4e-4)

Number of live births

-0.103 (0.021)

-0.100 (0.028)

-0.109 (0.047)

-0.096 (0.039)

Postmenopausal status

-0.183 (0.076)

-0.191 (0.109)

-0.056 (0.185)

-0.250 (0.131)

History of hormone therapy use

0.151 (0.0657)

0.133 (0.088)

0.111 (0.172)

0.090 (0.115)

  1. Non-significant covariates (age at menarche, square of mammogram age, square of height) were removed. For the analysis by site, only the covariates in the corresponding overall model were considered.