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. 2012 Nov 7;96(6):1379–1389. doi: 10.3945/ajcn.112.034934

TABLE 3.

BCMO1-weighted gene score associations with plasma carotenoid concentrations among the testing subset of women with genome-wide scans (n = 775–778)1

Geometric mean concentration by gene score quintile (95% CI)
2
Biomarker 1 2 3 4 5 β (SE)3 P value Multiple partial4R2
μg/L
β-Carotene5 194 (176, 214) 197 (178, 218) 218 (190, 250) 244 (227, 262) 288 (264, 314) 1.076 (0.154) 6.4 × 10−12 0.061
α-Carotene6 57 (52, 63) 57 (52, 62) 54 (49, 60) 61 (56, 66) 66 (60, 71) 0.7362 (0.250) 3.3 × 10−3 0.011
β-Cryptoxanthin7 68 (63, 73) 69 (64, 75) 74 (69, 80) 70 (64, 75) 78 (72, 84) 0.8191 (0.354) 0.02 0.007
Lutein/zeaxanthin8 140 (133, 147) 167 (157, 178) 176 (166, 186) 190 (180, 202) 191 (181, 203) 1.099 (0.126) 1.8 × 10−17 0.092
1

PMH, postmenopausal hormone; SSE, sum of squared errors.

2

Covariate-adjusted geometric mean plasma biomarker concentrations determined by back-transforming the least-squares means from the linear regression model described below with gene scores modeled as quintile indicator variables.

3

β-Coefficient and SE from multivariate linear regression of each natural log–transformed plasma biomarker concentration (μg/L) on corresponding continuous weighted gene score were adjusted for age, case-control status, cholesterol (mg/dL, or missing indicator), BMI (kg/m2), smoking (never/former, current <15 cigarettes/d, or current ≥15 cigarettes/d), menopausal status and PMH use (premenopausal; postmenopausal, no PMH; postmenopausal, PMH; or unknown), alcohol intake (g/d), total fat intake (g/d), and dietary intake of the outcome of interest (μg/d for carotenoids or IU/d for retinol). β-Carotene, α-carotene, and β-cryptoxanthin were also adjusted for dietary retinol intake (IU/d).

4

Multiple partial R2: SSE for the covariate-only model − SSE for the model with gene score and covariates divided by SSE for the covariate-only model.

5

Weighted gene score = (0.1637 × rs4889286 T) + (0.1274 × rs12934922 T); weights derived from testing data set were 0.1744 and 0.1397, respectively.

6

Weighted gene score = (0.06530 × rs4889286 T) + (0.1075 × rs4889293 G); weights derived from testing data set were 0.06860 and 0.06538, respectively.

7

Weighted gene score = (0.07709 × rs12918164 A) + (0.04916 × rs4889293 G); weights derived from testing data set were 0.05722 and 0.04560, respectively.

8

Weighted gene score = (0.1636 × rs56389940 A) + (0.06580 × rs10048138 A); weights derived from testing data set were 0.1792 and 0.1334, respectively.