Table 1.

Steroid hormone metabolism pathways with 11 candidate genes for breast cancer in WISE study. Genetic variants studied at these 11 genes are shown in the second column, where the binary codings of the SNP genotypes were determined by the functionality of the SNPs. The numbers are the p-values based on the univariate logistic regression for case-control data (column BCA) and linear regression analysis for age of diagnosis data for each variant. For genes PGR, SULT1A1 and SULT1E1, two different codings (A-dominant: dominant on A allele, G-dominant: dominant on G allele) are considered. For gene UGT1A1, allele *1 or *33 is a low-risk allele and allele *24 or *34 is a high-risk allele, and the number of high-risk alleles is used in the regression analysis.

Gene	Polymorphsm	Genotype Coding	BCA	Age of diagnosis
COMT	G1947A	1=T/T 0=C/T 0=C/C	0.27	0.15
CYP1A1	A6750G	0=A/A 1=A/G 1=G/G	0.20	0.65
CYP1A2	C734A	0=C/C 1=C/A 1=A/A	0.62	0.018
CYP1B1	G1294C (C4326G)	0=G/G 1=G/C 1=C/C	0.013	0.73
CYP1B1	A1358G (A3290G)	0=A/A 1=A/G 1=G/G	0.0040	0.12
CYP3A4	A729G	0=A/A 1=A/G 1=G/G	4.90 × 10⁻⁴	0.086
PGR	G331A	0=GG 1=AG 1=AA	0.59	0.17
		1=GG 1=AG 0=AA	0.19	0.50
SULT1A1	G638A	1=AA 1=AG 0=GG	0.12	0.60
		0=AA 1=AG 1=GG	0.28	0.51
SULT1A1	A667G	0=AA 1=AG 1=GG	8.34 × 10⁻⁶	0.041
		1=AA 1=AG 0=GG	0.0072	0.33
SULT1E1	G-64A	0=G/G 1=A/A 1=A/G	0.71	0.51
UGT1A1	TAn	1 or 33 (low)	0.71	0.088
		24 or 34 (high)