BACKGROUND: Female steroid hormone levels and exogenous hormone use influence breast cancer risk. We investigated the association between genetic variation in the hormone metabolism and signaling pathway and mammographic density, a strong predictor of breast cancer risk. METHODS: We genotyped 161 SNPs in 15 hormone metabolism pathway gene regions and evaluated mammographic density in 2,038 Singapore Chinese women. Linear regression analysis was used to investigate single-nucleotide polymorphism (SNP) and mammographic density association. An overall pathway summary was obtained using the adaptive ranked truncated product test. RESULTS: We did not find any of the individually tested SNPs to be associated with mammographic density after a multiple testing correction. There was no evidence of an overall effect on mammographic density of genetic variation in the hormone metabolism pathway. CONCLUSIONS: In this cross-sectional study, genetic variation in hormone metabolism pathway was not associated with mammographic density in Singapore Chinese women. IMPACT: Consistent with existing data from Caucasian populations, polymorphisms in hormone pathway genes are not likely to be strong predictors of mammographic density in Asian women.
BACKGROUND: Female steroid hormone levels and exogenous hormone use influence breast cancer risk. We investigated the association between genetic variation in the hormone metabolism and signaling pathway and mammographic density, a strong predictor of breast cancer risk. METHODS: We genotyped 161 SNPs in 15 hormone metabolism pathway gene regions and evaluated mammographic density in 2,038 Singapore Chinese women. Linear regression analysis was used to investigate single-nucleotide polymorphism (SNP) and mammographic density association. An overall pathway summary was obtained using the adaptive ranked truncated product test. RESULTS: We did not find any of the individually tested SNPs to be associated with mammographic density after a multiple testing correction. There was no evidence of an overall effect on mammographic density of genetic variation in the hormone metabolism pathway. CONCLUSIONS: In this cross-sectional study, genetic variation in hormone metabolism pathway was not associated with mammographic density in Singapore Chinese women. IMPACT: Consistent with existing data from Caucasian populations, polymorphisms in hormone pathway genes are not likely to be strong predictors of mammographic density in Asian women.
Authors: Eunjung Lee; Chris Hsu; David Van den Berg; Giske Ursin; Woon-Puay Koh; Jian-Min Yuan; Daniel O Stram; Mimi C Yu; Anna H Wu Journal: Cancer Epidemiol Biomarkers Prev Date: 2012-02-01 Impact factor: 4.254
Authors: Kai Yu; Qizhai Li; Andrew W Bergen; Ruth M Pfeiffer; Philip S Rosenberg; Neil Caporaso; Peter Kraft; Nilanjan Chatterjee Journal: Genet Epidemiol Date: 2009-12 Impact factor: 2.135
Authors: Merete Ellingjord-Dale; Eunjung Lee; Elisabeth Couto; Ali Ozhand; Samera Qureshi; Solveig Hofvind; David J Van Den Berg; Lars A Akslen; Tom Grotmol; Giske Ursin Journal: Breast Cancer Res Date: 2012-10-27 Impact factor: 6.466