Please use this identifier to cite or link to this item: https://doi.org/10.1186/bcr3678
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dc.titleBreast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population
dc.contributor.authorLee C.P.L.
dc.contributor.authorIrwanto A.
dc.contributor.authorSalim A.
dc.contributor.authorYuan J.-M.
dc.contributor.authorLiu J.
dc.contributor.authorKoh W.P.
dc.contributor.authorHartman M.
dc.date.accessioned2020-09-08T03:50:55Z
dc.date.available2020-09-08T03:50:55Z
dc.date.issued2014
dc.identifier.citationLee 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
dc.identifier.issn1465-5411
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/174648
dc.description.abstractIntroduction: 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
dc.sourceUnpaywall 20200831
dc.subjectestrogen
dc.subjectestrogen receptor alpha
dc.subjectestrogen receptor alpha, human
dc.subjectadult
dc.subjectallele
dc.subjectarticle
dc.subjectblood sampling
dc.subjectbody mass
dc.subjectbreast cancer
dc.subjectcancer registry
dc.subjectcancer risk
dc.subjectcase control study
dc.subjectChinese
dc.subjectcohort analysis
dc.subjectcontrolled study
dc.subjectdietary intake
dc.subjectdrug use
dc.subjecteducational status
dc.subjectfamily history
dc.subjectfemale
dc.subjectgenetic association
dc.subjectgenetic risk
dc.subjectgenetic variability
dc.subjecthigh risk population
dc.subjecthuman
dc.subjectlifestyle
dc.subjectmajor clinical study
dc.subjectmenarche
dc.subjectmenopause
dc.subjectprediction
dc.subjectrisk assessment
dc.subjectSingapore
dc.subjectsleep time
dc.subjectaged
dc.subjectAsian continental ancestry group
dc.subjectBreast Neoplasms
dc.subjectgene frequency
dc.subjectgenetic predisposition
dc.subjectgenetics
dc.subjectmiddle aged
dc.subjectrisk factor
dc.subjectsingle nucleotide polymorphism
dc.subjectArticle
dc.subjectAsian
dc.subjectESR1 gene
dc.subjectFOXQ1 gene
dc.subjectgene
dc.subjectgene locus
dc.subjectpopulation research
dc.subjectprevalence
dc.subjectsleep
dc.subjectTOX3 gene
dc.subjectAged
dc.subjectAlleles
dc.subjectAsian Continental Ancestry Group
dc.subjectBody Mass Index
dc.subjectBreast Neoplasms
dc.subjectCase-Control Studies
dc.subjectEstrogen Receptor alpha
dc.subjectFemale
dc.subjectGene Frequency
dc.subjectGenetic Predisposition to Disease
dc.subjectGenome-Wide Association Study
dc.subjectHumans
dc.subjectMiddle Aged
dc.subjectPolymorphism, Single Nucleotide
dc.subjectRisk Factors
dc.subjectSingapore
dc.typeArticle
dc.contributor.departmentPHARMACY
dc.contributor.departmentSURGERY
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.contributor.departmentSAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
dc.description.doi10.1186/bcr3678
dc.description.sourcetitleBreast Cancer Research
dc.description.volume16
dc.description.issue3
dc.description.pageR64
dc.published.statePublished
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