Please use this identifier to cite or link to this item: https://doi.org/10.1158/1055-9965.EPI-13-0157
Title: Hormone metabolism genes and mammographic density in singapore chinese women
Authors: Lee, E.
Su, Y.-C.
Lewinger, J.P.
Hsu, C.
Van Den Berg, D.
Ursin, G.
Koh, W.-P. 
Yuan, J.-M.
Stram, D.O.
Yu, M.C.
Wu, A.H.
Issue Date: May-2013
Citation: Lee, E., Su, Y.-C., Lewinger, J.P., Hsu, C., Van Den Berg, D., Ursin, G., Koh, W.-P., Yuan, J.-M., Stram, D.O., Yu, M.C., Wu, A.H. (2013-05). Hormone metabolism genes and mammographic density in singapore chinese women. Cancer Epidemiology Biomarkers and Prevention 22 (5) : 984-986. ScholarBank@NUS Repository. https://doi.org/10.1158/1055-9965.EPI-13-0157
Abstract: 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. Cancer Epidemiol Biomarkers Prev; 22(5); 984-6. © 2013 American Association for Cancer Research.
Source Title: Cancer Epidemiology Biomarkers and Prevention
URI: http://scholarbank.nus.edu.sg/handle/10635/108957
ISSN: 10559965
DOI: 10.1158/1055-9965.EPI-13-0157
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