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https://doi.org/10.1186/bcr3678
Title: | Breast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population | Authors: | Lee C.P.L. Irwanto A. Salim A. Yuan J.-M. Liu J. Koh W.P. Hartman M. |
Keywords: | estrogen estrogen receptor alpha estrogen receptor alpha, human adult allele article blood sampling body mass breast cancer cancer registry cancer risk case control study Chinese cohort analysis controlled study dietary intake drug use educational status family history female genetic association genetic risk genetic variability high risk population human lifestyle major clinical study menarche menopause prediction risk assessment Singapore sleep time aged Asian continental ancestry group Breast Neoplasms gene frequency genetic predisposition genetics middle aged risk factor single nucleotide polymorphism Article Asian ESR1 gene FOXQ1 gene gene gene locus population research prevalence sleep TOX3 gene Aged Alleles Asian Continental Ancestry Group Body Mass Index Breast Neoplasms Case-Control Studies Estrogen Receptor alpha Female Gene Frequency Genetic Predisposition to Disease Genome-Wide Association Study Humans Middle Aged Polymorphism, Single Nucleotide Risk Factors Singapore |
Issue Date: | 2014 | Citation: | Lee C.P.L., Irwanto A., Salim A., Yuan J.-M., Liu J., Koh W.P., Hartman M. (2014). Breast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population. Breast Cancer Research 16 (3) : R64. ScholarBank@NUS Repository. https://doi.org/10.1186/bcr3678 | Abstract: | Introduction: Genetic variants for breast cancer risk identified in genome-wide association studies (GWAS) in Western populations require further testing in Asian populations. A risk assessment model incorporating both validated genetic variants and established risk factors may improve its performance in risk prediction of Asian women.Methods: A nested case-control study of female breast cancer (411 cases and 1,212 controls) within the Singapore Chinese Health Study was conducted to investigate the effects of 51 genetic variants identified in previous GWAS on breast cancer risk. The independent effect of these genetic variants was assessed by creating a summed genetic risk score (GRS) after adjustment for body mass index and the Gail model risk factors for breast cancer.Results: The GRS was an independent predictor of breast cancer risk in Chinese women. The multivariate-adjusted odds ratios (95% confidence intervals) of breast cancer for the second, third, and fourth quartiles of the GRS were 1.26 (0.90 to 1.76), 1.47 (1.06 to 2.04) and 1.75 (1.27 to 2.41) respectively (P for trend <0.001). In addition to established risk factors, the GRS improved the classification of 6.2% of women for their absolute risk of breast cancer in the next five years.Conclusions: Genetic variants on top of conventional risk factors can improve the risk prediction of breast cancer in Chinese women. © 2014 Lee et al.; licensee BioMed Central L | Source Title: | Breast Cancer Research | URI: | https://scholarbank.nus.edu.sg/handle/10635/174648 | ISSN: | 1465-5411 | DOI: | 10.1186/bcr3678 |
Appears in Collections: | Elements Staff Publications |
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