학술논문

Genome-wide association study identifies 25 known breast cancer susceptibility loci as risk factors for triple-negative breast cancer.
Document Type
article
Author
Purrington, Kristen SSlager, SusanEccles, DianaYannoukakos, DrakoulisFasching, Peter AMiron, PenelopeCarpenter, JaneChang-Claude, JennyMartin, Nicholas GMontgomery, Grant WKristensen, VesselaAnton-Culver, HodaGoodfellow, PaulTapper, William JRafiq, SajjadGerty, Susan MDurcan, LorraineKonstantopoulou, IreneFostira, FlorentiaVratimos, AthanassiosApostolou, ParaskeviKonstanta, IreneKotoula, VassilikiLakis, SotirisDimopoulos, Meletios ASkarlos, DimosthenisPectasides, DimitriosFountzilas, GeorgeBeckmann, Matthias WHein, AlexanderRuebner, MatthiasEkici, Arif BHartmann, ArndtSchulz-Wendtland, RuedigerRenner, Stefan PJanni, WolfgangRack, BrigitteScholz, ChristophNeugebauer, JuliaAndergassen, UlrichLux, Michael PHaeberle, LotharClarke, ChristinePathmanathan, NirmalaRudolph, AnjaFlesch-Janys, DieterNickels, StefanOlson, Janet EIngle, James NOlswold, CurtisSlettedahl, SethEckel-Passow, Jeanette EAnderson, S KeithVisscher, Daniel WCafourek, Victoria LSicotte, HuguesProdduturi, NareshWeiderpass, ElisabeteBernstein, LeslieZiogas, ArgyriosIvanovich, JenniferGiles, Graham GBaglietto, LauraSouthey, MelissaKosma, Veli-MattiFischer, Hans-PeterGENICA NetworkReed, Malcom WRCross, Simon SDeming-Halverson, SandraShrubsole, MarthaCai, QiuyinShu, Xiao-OuDaly, MaryWeaver, JoellenRoss, EricKlemp, JenniferSharma, PriyankaTorres, DianaRüdiger, ThomasWölfing, HeidrunUlmer, Hans-UlrichFörsti, AstaKhoury, ThaerKumar, ShichaPilarski, RobertShapiro, Charles LGreco, DarioHeikkilä, PäiviAittomäki, KristiinaBlomqvist, CarlIrwanto, AstridLiu, JianjunPankratz, Vernon ShaneWang, XianshuSeveri, GianlucaMannermaa, ArtoEaston, DouglasHall, PerBrauch, Hiltrud
Source
Carcinogenesis. 35(5)
Subject
GENICA Network
Chromosomes
Human
Pair 19
Humans
Genetic Predisposition to Disease
Estrogen Receptor alpha
Case-Control Studies
Polymorphism
Single Nucleotide
Quantitative Trait Loci
Adult
Aged
Aged
80 and over
Middle Aged
Female
Genome-Wide Association Study
Young Adult
Triple Negative Breast Neoplasms
Prevention
Genetics
Cancer
Breast Cancer
Clinical Research
Human Genome
2.1 Biological and endogenous factors
Chromosomes
Human
Pair 19
Polymorphism
Single Nucleotide
and over
Oncology and Carcinogenesis
Oncology & Carcinogenesis
Language
Abstract
Triple-negative (TN) breast cancer is an aggressive subtype of breast cancer associated with a unique set of epidemiologic and genetic risk factors. We conducted a two-stage genome-wide association study of TN breast cancer (stage 1: 1529 TN cases, 3399 controls; stage 2: 2148 cases, 1309 controls) to identify loci that influence TN breast cancer risk. Variants in the 19p13.1 and PTHLH loci showed genome-wide significant associations (P < 5 × 10(-) (8)) in stage 1 and 2 combined. Results also suggested a substantial enrichment of significantly associated variants among the single nucleotide polymorphisms (SNPs) analyzed in stage 2. Variants from 25 of 74 known breast cancer susceptibility loci were also associated with risk of TN breast cancer (P < 0.05). Associations with TN breast cancer were confirmed for 10 loci (LGR6, MDM4, CASP8, 2q35, 2p24.1, TERT-rs10069690, ESR1, TOX3, 19p13.1, RALY), and we identified associations with TN breast cancer for 15 additional breast cancer loci (P < 0.05: PEX14, 2q24.1, 2q31.1, ADAM29, EBF1, TCF7L2, 11q13.1, 11q24.3, 12p13.1, PTHLH, NTN4, 12q24, BRCA2, RAD51L1-rs2588809, MKL1). Further, two SNPs independent of previously reported signals in ESR1 [rs12525163 odds ratio (OR) = 1.15, P = 4.9 × 10(-) (4)] and 19p13.1 (rs1864112 OR = 0.84, P = 1.8 × 10(-) (9)) were associated with TN breast cancer. A polygenic risk score (PRS) for TN breast cancer based on known breast cancer risk variants showed a 4-fold difference in risk between the highest and lowest PRS quintiles (OR = 4.03, 95% confidence interval 3.46-4.70, P = 4.8 × 10(-) (69)). This translates to an absolute risk for TN breast cancer ranging from 0.8% to 3.4%, suggesting that genetic variation may be used for TN breast cancer risk prediction.