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. 2007 Feb 12;7:30. doi: 10.1186/1471-2407-7-30

Table 2.

Adjusted Mean Percent Densities (%) by Genotype*

CYP1A2 N# N## Density COMT N# N## Density
All AA 863 285 27.8 Val/Val 688 229 28.6
AC 750 254 29.7 Val/Met 780 257 29.1
CC 109 36 32.9 Met/Met 254 89 29.4
P (trend) - - 0.11 P (trend) - - 0.70

Controls AA 315 124 22.4 Val/Val 235 95 23.6
AC 253 108 25.4 Val/Met 264 108 24.6
CC 46 18 31.3 Met/Met 115 47 25.1
P (trend) - - 0.045 P (trend) - - 0.61

Cases AA 548 161 31.1 Val/Val 453 134 31.4
AC 497 146 31.4 Val/Met 516 149 31.5
CC 63 18 32.0 Met/Met 139 42 30.3
P (trend) - - 0.86 P (trend) - - 0.84

Premenopausal AA 154 71 35.2 Val/Val 125 62 35.7
AC 129 60 36.1 Val/Met 124 55 37.8
CC 9 4 44.8 Met/Met 43 18 30.8
P (trend) - - 0.38 P (trend) - - 0.60

Postmenopausal AA 652 189 25.9 Val/Val 523 150 26.5
AC 566 170 27.4 Val/Met 596 174 27.0
CC 92 27 31.4 Met/Met 191 62 27.6
P (trend) - - 0.14 P (trend) - - 0.67

Postmenopausal AA 258 113 20.5 Val/Val 180 90 21.6
No HRT use AC 186 98 23.1 Val/Met 225 104 21.7
CC 21 11 29.6 Met/Met 60 28 24.4
P (trend) - - 0.08 P (trend) - - 0.57

Postmenopausal AA 228 97 29.2 Val/Val 176 81 29.3
HRT use AC 192 88 30.4 Val/Met 192 79 30.8
CC 28 14 31.7 Met/Met 80 39 29.2
P (trend) - - 0.48 P (trend) - - 0.88

BMI < 25 AA 504 157 34.2 Val/Val 412 135 35.4
AC 485 163 37.1 Val/Met 505 154 36.1
CC 71 21 43.6 Met/Met 143 52 37.8
P (trend) - 0.046 P (trend) - - 0.53

BMI >= 25 AA 359 128 19.2 Val/Val 276 94 19.0
AC 265 81 19.2 Val/Met 275 103 19.4
CC 38 15 18.6 Met/Met 111 37 18.9
P (trend) - 0.92 P (trend) - - 0.96

*Percent densities were computed through mixed models using square-root transformed values while adjusting for age, BMI, case status, HRT use & type, ethnicity, parity, age at menarche, age at first live birth, family history of breast cancer, and menopausal status. Age, HRT use, and menopausal status are time-dependent variables.

# N is the number of mammograms used in the analysis; ## N is the number of subjects.

P-values for a trend variable assigned the gene dosage effect using mixed models.