학술논문

Assessment of interactions between 205 breast cancer susceptibility loci and 13 established risk factors in relation to breast cancer risk, in the Breast Cancer Association Consortium
Document Type
article
Author
Kapoor, Pooja MiddhaLindström, SaraBehrens, SabineWang, XiaoliangMichailidou, KyriakiBolla, Manjeet KWang, QinDennis, JoeDunning, Alison MPharoah, Paul DPSchmidt, Marjanka KKraft, PeterGarcía-Closas, MontserratEaston, Douglas FMilne, Roger LChang-Claude, JennyAhearn, ThomasAndrulis, Irene LAnton-Culver, HodaArndt, VolkerAronson, Kristan JAuer, Paul LAugustinsson, AnnelieFreeman, Laura E BeaneBeckmann, Matthias WBenitez, JavierBernstein, LeslieBerrandou, TakiyBojesen, Stig EBrauch, HiltrudBrenner, HermannBrock, Ian WBroeks, AnnegienBrooks-Wilson, AngelaButterbach, KatjaCai, QiuyinCampa, DanieleCanzian, FedericoCarter, Brian DCastelao, Jose EChanock, Stephen JChenevix-Trench, GeorgiaCheng, Ting-Yuan DavidClarke, Christine LCordina-Duverger, EmilieCouch, Fergus JCox, AngelaCross, Simon SCzene, KamilaDai, James YDite, Gillian SEarp, H SheltonEliassen, A HeatherEriksson, MikaelEvans, D GarethFasching, Peter AFigueroa, JonineFlyger, HenrikFritschi, LinGabrielson, MarikeGago-Dominguez, ManuelaGapstur, Susan MGaudet, Mia MGiles, Graham GGonzález-Neira, AnnaGrundy, AnneGuénel, PascalHaeberle, LotharHaiman, Christopher AHåkansson, NiclasHall, PerHamann, UteHankinson, Susan EHarkness, Elaine FHarstad, TriciaHe, WeiHeyworth, JaneHoover, Robert NHopper, John LHumphreys, KeithHunter, David JMarrón, Pablo IsidroJohn, Esther MJones, Michael EJung, AudreyKaaks, RudolfKeeman, RenskeKitahara, Cari MKo, Yon-DschunKoutros, StellaKrüger, UteLambrechts, DietherLe Marchand, LoicLee, EunjungLejbkowicz, FlavioLinet, MarthaLissowska, JolantaLlaneza, AnaLo, Wing-YeeMakalic, Enes
Source
International Journal of Epidemiology. 49(1)
Subject
Genetics
Estrogen
Clinical Research
Cancer
Breast Cancer
Prevention
2.1 Biological and endogenous factors
Aetiology
Alleles
Breast Neoplasms
Case-Control Studies
Europe
Factor XIII
Female
Gene-Environment Interaction
Genetic Predisposition to Disease
Genome-Wide Association Study
Genotype
Humans
Polymorphism
Single Nucleotide
Receptors
Estrogen
Risk Factors
White People
Breast Cancer Association Consortium
Europeans
Gene-environment interaction
breast cancer
epidemiology
risk factors
single nucleotide polymorphism
Statistics
Public Health and Health Services
Epidemiology
Language
Abstract
BackgroundPrevious gene-environment interaction studies of breast cancer risk have provided sparse evidence of interactions. Using the largest available dataset to date, we performed a comprehensive assessment of potential effect modification of 205 common susceptibility variants by 13 established breast cancer risk factors, including replication of previously reported interactions.MethodsAnalyses were performed using 28 176 cases and 32 209 controls genotyped with iCOGS array and 44 109 cases and 48 145 controls genotyped using OncoArray from the Breast Cancer Association Consortium (BCAC). Gene-environment interactions were assessed using unconditional logistic regression and likelihood ratio tests for breast cancer risk overall and by estrogen-receptor (ER) status. Bayesian false discovery probability was used to assess the noteworthiness of the meta-analysed array-specific interactions.ResultsNoteworthy evidence of interaction at ≤1% prior probability was observed for three single nucleotide polymorphism (SNP)-risk factor pairs. SNP rs4442975 was associated with a greater reduction of risk of ER-positive breast cancer [odds ratio (OR)int = 0.85 (0.78-0.93), Pint = 2.8 x 10-4] and overall breast cancer [ORint = 0.85 (0.78-0.92), Pint = 7.4 x 10-5) in current users of estrogen-progesterone therapy compared with non-users. This finding was supported by replication using OncoArray data of the previously reported interaction between rs13387042 (r2 = 0.93 with rs4442975) and current estrogen-progesterone therapy for overall disease (Pint = 0.004). The two other interactions suggested stronger associations between SNP rs6596100 and ER-negative breast cancer with increasing parity and younger age at first birth.ConclusionsOverall, our study does not suggest strong effect modification of common breast cancer susceptibility variants by established risk factors.