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

LangWu; WeiShi; JirongLong; Xingyi Guo ORCID logo; KyriakiMichailidou; JonathanBeesley; Manjeet KBolla; Xiao-OuShu; YingchangLu; QiuyinCai; +202 more... Fares Al-Ejeh ORCID logo; EsdyRozali; QinWang; JoeDennis; Bingshan Li ORCID logo; ChenjieZeng; HelianFeng; Alexander Gusev ORCID logo; Richard TBarfield; Irene L Andrulis ORCID logo; HodaAnton-Culver; Volker Arndt ORCID logo; Kristan JAronson; Paul LAuer; MyrtoBarrdahl; CarolineBaynes; Matthias WBeckmann; JavierBenitez; MarinaBermisheva; CarlBlomqvist; Natalia VBogdanova; Stig EBojesen; Hiltrud Brauch ORCID logo; HermannBrenner; LouiseBrinton; PerBroberg; Sara YBrucker; BarbaraBurwinkel; TrinidadCaldés; FedericoCanzian; Brian DCarter; J EstebanCastelao; JennyChang-Claude; XiaoqingChen; Ting-Yuan DavidCheng; HansChristiansen; Christine LClarke; NBCS Collaborators; Margriet Collée ORCID logo; StenCornelissen; Fergus JCouch; DavidCox; Angela Cox ORCID logo; Simon SCross; Julie M Cunningham ORCID logo; KamilaCzene; Mary BDaly; PeterDevilee; Kimberly FDoheny; ThiloDörk; Isabel Dos-Santos-Silva ORCID logo; MartineDumont; MiriamDwek; Diana MEccles; UrsulaEilber; A HeatherEliassen; ChristophEngel; MikaelEriksson; Laura Fachal ORCID logo; Peter AFasching; JonineFigueroa; DieterFlesch-Janys; Olivia Fletcher ORCID logo; HenrikFlyger; LinFritschi; MarikeGabrielson; ManuelaGago-Dominguez; Susan MGapstur; MontserratGarcía-Closas; Mia MGaudet; MayaGhoussaini; Graham GGiles; Mark SGoldberg; David EGoldgar; AnnaGonzález-Neira; PascalGuénel; EricHahnen; Christopher AHaiman; NiclasHåkansson; PerHall; EmilyHallberg; UteHamann; PatriciaHarrington; Alexander Hein ORCID logo; Belynda Hicks ORCID logo; PeterHillemanns; Antoinette Hollestelle ORCID logo; Robert NHoover; John LHopper; GuanmengqianHuang; KeithHumphreys; David JHunter; Anna Jakubowska ORCID logo; WolfgangJanni; Esther MJohn; NicholaJohnson; KristineJones; Michael EJones; AudreyJung; RudolfKaaks; Michael JKerin; Elza Khusnutdinova ORCID logo; Veli-MattiKosma; Vessela NKristensen; DietherLambrechts; LoicLe Marchand; Jingmei Li ORCID logo; SaraLindström; JolantaLissowska; Wing-YeeLo; SibylleLoibl; JanLubinski; CraigLuccarini; Michael PLux; Robert JMacInnis; TomMaishman; Ivana MalevaKostovska; ArtoMannermaa; JoAnn EManson; SaraMargolin; DimitriosMavroudis; HanneMeijers-Heijboer; AlfonsMeindl; Usha Menon ORCID logo; JefferyMeyer; Anna MarieMulligan; Susan LNeuhausen; Heli Nevanlinna ORCID logo; PatrickNeven; Sune FNielsen; Børge G Nordestgaard ORCID logo; Olufunmilayo IOlopade; Janet EOlson; HåkanOlsson; PaoloPeterlongo; Julian Peto ORCID logo; DijanaPlaseska-Karanfilska; RossPrentice; NadegePresneau; Katri Pylkäs ORCID logo; BrigitteRack; PaoloRadice; NazneenRahman; Gad Rennert ORCID logo; Hedy SRennert; ValerieRhenius; Atocha Romero ORCID logo; JaneRomm; AnjaRudolph; Emmanouil Saloustros ORCID logo; Dale PSandler; Elinor JSawyer; Marjanka KSchmidt; Rita KSchmutzler; AndreasSchneeweiss; Rodney JScott; Christopher G Scott ORCID logo; SheilaSeal; MitulShah; Martha J Shrubsole ORCID logo; AnnSmeets; Melissa CSouthey; John JSpinelli; JenniferStone; HaraldSurowy; Anthony JSwerdlow; Rulla MTamimi; WilliamTapper; Jack ATaylor; Mary BethTerry; Daniel CTessier; AbigailThomas; KathrinThöne; Rob AEMTollenaar; DianaTorres; ThérèseTruong; MichaelUntch; CelineVachon; DavidVan Den Berg; DanielVincent; QuintenWaisfisz; Clarice RWeinberg; CamillaWendt; Alice SWhittemore; HansWildiers; Walter CWillett; RobertWinqvist; Alicja Wolk ORCID logo; LucyXia; Xiaohong RYang; Argyrios Ziogas ORCID logo; EladZiv; kConFab/AOCS Investigators; Alison MDunning; Paul DP Pharoah ORCID logo; JacquesSimard; Roger L Milne ORCID logo; Stacey LEdwards; PeterKraft; Douglas F Easton ORCID logo; GeorgiaChenevix-Trench; Wei Zheng ORCID logo; (2018) A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer. Nature genetics, 50 (7). pp. 968-978. ISSN 1061-4036 DOI: 10.1038/s41588-018-0132-x
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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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