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- W2320002232 abstract "Mammographic density (MD) is a strong predictor of breast cancer risk and is highly correlated with the hormone exposure profiles of women. It is also a highly heritable risk factor (heritable component ∼67%). As such, many efforts have been made to identify underlying genetic determinants of MD within pathways related to steroid hormone biosynthesis and metabolism. Several associations with genetic polymorphisms in genes involved in estrogen metabolism have been previously described (e.g. COMT and HSD3B1). Still, there is controversy among the conclusions of these studies. In addition, only a few candidate genes have been interrogated at a time. In this study, we assess associations of genetic variants with MD using the most extensive estrogen metabolic pathway coverage to date.Materials and methods:Cases were 891 Swedish-born women who were 50-74 years of age at diagnosis and diagnosed with breast cancer between October 1993 and March 1995. 840 controls were population and frequency matched to the expected age distribution of the cases.MD was measured using a computer-assisted technique (Cumulus, University of Toronto, Canada) and evaluated by comparing the dense area by the total breast area.Genotyping was performed on a total of 239 SNPs in 34 estrogen metabolic genes using the Sequenom (San Diego, California) primer extension-based assay. SNPs with a call rate Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 5161." @default.
- W2320002232 created "2016-06-24" @default.
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- W2320002232 date "2009-12-15" @default.
- W2320002232 modified "2023-10-02" @default.
- W2320002232 title "CYP11A1 Is a Predictor of Mammographic Breast Density." @default.
- W2320002232 doi "https://doi.org/10.1158/0008-5472.sabcs-09-5161" @default.
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