Please use this identifier to cite or link to this item: https://doi.org/10.1186/s13058-015-0625-9
Title: A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density
Authors: Rudolph, A
Fasching, P.A
Behrens, S
Keywords: cytochrome P450 1A1
cytochrome P450 1A2
cytochrome P450 1B1
peroxisome proliferator activated receptor gamma
prolactin
sulfotransferase 1A1
tumor necrosis factor
adult
aged
AKR1C4 gene
Article
breast cancer
breast density
cancer risk
case control study
controlled study
CYP1A1 gene
CYP1A2 gene
CYP1B1 gene
ESR2 gene
female
gene
genetic variability
genotype environment interaction
hormonal therapy
human
menopausal hormone therapy
PLCG2 gene
postmenopause
PPARG gene
PRL gene
single nucleotide polymorphism
SULT1A1 gene
SULT1A2 gene
TNF gene
abnormalities
breast
breast density
breast tumor
genetics
genome-wide association study
hormone substitution
mammary gland
mammography
meta analysis
middle aged
pathology
procedures
risk factor
very elderly
Aged
Aged, 80 and over
Breast
Breast Density
Breast Neoplasms
Case-Control Studies
Female
Genome-Wide Association Study
Hormone Replacement Therapy
Humans
Mammary Glands, Human
Mammography
Middle Aged
Polymorphism, Single Nucleotide
Postmenopause
Risk Factors
Issue Date: 2015
Citation: Rudolph, A, Fasching, P.A, Behrens, S (2015). A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density. Breast Cancer Research 17 (1) : 110. ScholarBank@NUS Repository. https://doi.org/10.1186/s13058-015-0625-9
Rights: Attribution 4.0 International
Abstract: Introduction: Mammographic density is an established breast cancer risk factor with a strong genetic component and can be increased in women using menopausal hormone therapy (MHT). Here, we aimed to identify genetic variants that may modify the association between MHT use and mammographic density. Methods: The study comprised 6,298 postmenopausal women from the Mayo Mammography Health Study and nine studies included in the Breast Cancer Association Consortium. We selected for evaluation 1327 single nucleotide polymorphisms (SNPs) showing the lowest P-values for interaction (P int) in a meta-analysis of genome-wide gene-environment interaction studies with MHT use on risk of breast cancer, 2541 SNPs in candidate genes (AKR1C4, CYP1A1-CYP1A2, CYP1B1, ESR2, PPARG, PRL, SULT1A1-SULT1A2 and TNF) and ten SNPs (AREG-rs10034692, PRDM6-rs186749, ESR1-rs12665607, ZNF365-rs10995190, 8p11.23-rs7816345, LSP1-rs3817198, IGF1-rs703556, 12q24-rs1265507, TMEM184B-rs7289126, and SGSM3-rs17001868) associated with mammographic density in genome-wide studies. We used multiple linear regression models adjusted for potential confounders to evaluate interactions between SNPs and current use of MHT on mammographic density. Results: No significant interactions were identified after adjustment for multiple testing. The strongest SNP-MHT interaction (unadjusted P int <0.0004) was observed with rs9358531 6.5kb 5' of PRL. Furthermore, three SNPs in PLCG2 that had previously been shown to modify the association of MHT use with breast cancer risk were found to modify also the association of MHT use with mammographic density (unadjusted P int <0.002), but solely among cases (unadjusted P int SNP×MHT×case-status <0.02). Conclusions: The study identified potential interactions on mammographic density between current use of MHT and SNPs near PRL and in PLCG2, which require confirmation. Given the moderate size of the interactions observed, larger studies are needed to identify genetic modifiers of the association of MHT use with mammographic density. © 2015 Rudolph et al.
Source Title: Breast Cancer Research
URI: https://scholarbank.nus.edu.sg/handle/10635/183752
ISSN: 14655411
DOI: 10.1186/s13058-015-0625-9
Rights: Attribution 4.0 International
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