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A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer.

Lang WuWei ShiJirong LongXingyi GuoKyriaki MichailidouJonathan BeesleyManjeet K BollaXiao-Ou ShuYingchang LuQiuyin CaiFares Al-EjehEsdy RozaliQin WangJoe DennisBingshan LiChenjie ZengHelian FengAlexander GusevRichard T BarfieldIrene L AndrulisHoda Anton-CulverVolker ArndtKristan J AronsonPaul L AuerMyrto BarrdahlCaroline BaynesMatthias W BeckmannJavier BenitezMarina BermishevaCarl BlomqvistNatalia V BogdanovaStig E BojesenHiltrud B BrauchHermann BrennerLouise BrintonPer BrobergSara Y BruckerBarbara BurwinkelTrinidad CaldésFederico CanzianBrian D CarterJ Esteban CastelaoJenny Chang-ClaudeXiaoqing ChenTing-Yuan David ChengHans ChristiansenChristine L Clarkenull nullJ Margriet ColléeSten CornelissenFergus J CouchDavid CoxAngela CoxSimon S CrossJulie M CunninghamKamila CzeneMary B DalyPeter DevileeKimberly F DohenyThilo DörkIsabel Dos-Santos-SilvaMartine DumontMiriam DwekDiana M EcclesUrsula EilberA Heather EliassenChristoph EngelMikael ErikssonLaura FachalPeter A FaschingJonine FigueroaDieter Flesch-JanysOlivia FletcherHenrik FlygerLin FritschiMarike GabrielsonManuela Gago-DominguezSusan M GapsturMontserrat García-ClosasMia M GaudetMaya GhoussainiGraham G GilesMark S GoldbergDavid E GoldgarAnna González-NeiraPascal GuénelEric HahnenChristopher A HaimanNiclas HåkanssonPer HallEmily HallbergUte HamannPatricia HarringtonAlexander HeinBelynda D HicksPeter HillemannsAntoinette HollestelleRobert N HooverJohn L HopperGuanmengqian HuangKeith HumphreysDavid J HunterAnna JakubowskaWolfgang JanniEsther M JohnNichola JohnsonKristine JonesMichael E JonesAudrey JungRudolf KaaksMichael J KerinElza K KhusnutdinovaVeli-Matti KosmaVessela N KristensenDiether LambrechtsLoic Le MarchandJingmei LiSara LindströmJolanta LissowskaWing-Yee LoSibylle LoiblJan LubinskiCraig LuccariniMichael P LuxRobert J MacInnisTom MaishmanIvana Maleva KostovskaArto MannermaaJoAnn E MansonSara MargolinDimitrios MavroudisHanne Meijers-HeijboerAlfons MeindlUsha MenonJeffery MeyerAnna Marie MulliganSusan L NeuhausenHeli NevanlinnaPatrick NevenSune F NielsenBørge Grønne NordestgaardOlufunmilayo I OlopadeJanet E OlsonHåkan OlssonPaolo PeterlongoJulian PetoDijana Plaseska-KaranfilskaRoss PrenticeNadege PresneauKatri PylkäsBrigitte RackPaolo RadiceNazneen RahmanGadi RennertHedy S RennertValerie RheniusAtocha RomeroJane RommAnja RudolphEmmanouil SaloustrosDale P SandlerElinor J SawyerMarjanka K SchmidtRita K SchmutzlerAndreas SchneeweissRodney J ScottChristopher G ScottSheila SealMitul ShahMartha J ShrubsoleAnn SmeetsMelissa C SoutheyJohn J SpinelliJennifer StoneHarald SurowyAnthony J SwerdlowRulla M TamimiWilliam TapperJack A TaylorMary Beth TerryDaniel C TessierAbigail ThomasKathrin ThöneRob A E M TollenaarDiana TorresThérèse TruongMichael UntchCeline VachonDavid Van Den BergDaniel VincentQuinten WaisfiszClarice R WeinbergCamilla WendtAlice S WhittemoreHans WildiersWalter C WillettRobert WinqvistAlicja WolkLucy XiaXiaohong R YangArgyrios ZiogasElad Zivnull nullAlison M DunningPaul D P PharoahJacques SimardJonathan BeesleyStacey L EdwardsPeter KraftDouglas F EastonGeorgia Chenevix-TrenchQuan Long
Published in: Nature genetics (2018)
The breast cancer risk variants identified in genome-wide association studies explain only a small fraction of the familial relative risk, and the genes responsible for these associations remain largely unknown. To identify novel risk loci and likely causal genes, we performed a transcriptome-wide association study evaluating associations of genetically predicted gene expression with breast cancer risk in 122,977 cases and 105,974 controls of European ancestry. We used data from the Genotype-Tissue Expression Project to establish genetic models to predict gene expression in breast tissue and evaluated model performance using data from The Cancer Genome Atlas. Of the 8,597 genes evaluated, significant associations were identified for 48 at a Bonferroni-corrected threshold of P < 5.82 × 10-6, including 14 genes at loci not yet reported for breast cancer. We silenced 13 genes and showed an effect for 11 on cell proliferation and/or colony-forming efficiency. Our study provides new insights into breast cancer genetics and biology.
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