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Hormone metabolism genes and mammographic density in Singapore Chinese women

Menée en Chine à partir d'échantillons prélevés sur 2 038 femmes singapouriennes, cette étude transversale évalue l'association entre 161 polymorphismes à simple nucléotide de 15 régions génomiques impliquées dans le métabolisme hormonal et la densité mammaire

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 (MD), a strong predictor of breast cancer risk. Methods: We genotyped 161 SNPs in 15 hormone metabolism pathway gene regions and evaluated MD in 2,038 Singapore Chinese women. Linear regression analysis was used to investigate SNP-MD 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 MD after a multiple testing correction. There was no evidence of an overall effect on MD of genetic variation in the hormone metabolism pathway. Conclusions: In this cross-sectional study, genetic variation in hormone metabolism pathway was not associated with MD 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 MD in Asian women.

Cancer Epidemiology Biomarkers & Prevention

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