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. Author manuscript; available in PMC: 2016 Mar 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2014 Dec 26;24(3):627–630. doi: 10.1158/1055-9965.EPI-14-1127

Table 1.

Individual SNP associations with risk of breast cancer

SNP Gene Frequency of low vitamin D allele # Low vitamin D alleles # Cases # Controls OR (95% CI)* p-value p for heterogeneity across cohorts§
rs2282679 GC 0.28
TT 0 4,531 5,100 1.0 (ref)
GT 1 3,412 4,104 0.94 (0.88 – 1.00)
GG 2 713 781 1.03 (0.92 – 1.15) 0.08
Additive (per allele) 0.98 (0.94 – 1.03) 0.39 0.10

rs6013897 CYP24A1 0.21
TT 0 5,759 6,551 1.0 (ref)
AT 1 3,064 3,576 0.97 (0.91 – 1.03)
AA 2 447 491 1.03 (0.90 – 1.18) 0.48
Additive (per allele) 0.99 (0.94 – 1.04) 0.65 0.84

rs10741657 CYP2R1 0.61
AA 0 1,301 1,486 1.0 (ref)
AG 1 4,041 4,766 0.96 (0.88 – 1.05)
GG 2 3,276 3,708 1.00 (0.91 – 1.09) 0.41
Additive (per allele) 1.01 (0.97 – 1.05) 0.72 0.62

rs12785878 DHCR7 0.27
TT 0 4,935 5,674 1.0 (ref)
GT 1 3,620 4,052 1.03 (0.97 – 1.09)
GG 2 669 834 0.92 (0.83 – 1.03) 0.16
Additive (per allele) 0.99 (0.95 – 1.03) 0.60 0.13
*

Adjusted for age at baseline (continuous) and study cohort.

For categorical analyses of genotype, the p-value is a 2 degree of freedom test comparing a model containing indicator variables for genotype and covariates with a model containing only the covariates. For the per allele analyses, the p-value is a 1 degree of freedom test comparing a model containing the number of alleles and covariates to a model containing only the covariates.

§

The p-value for heterogeneity across cohorts is based on the test for interaction between cohort and the additive.