학술논문

Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry
Document Type
article
Author
Stefanie H. MuellerAlvina G. LaiMaria ValkovskayaKyriaki MichailidouManjeet K. BollaQin WangJoe DennisMichael LushZomoruda Abu-FulThomas U. AhearnIrene L. AndrulisHoda Anton-CulverNatalia N. AntonenkovaVolker ArndtKristan J. AronsonAnnelie AugustinssonThais BaertLaura E. Beane FreemanMatthias W. BeckmannSabine BehrensJavier BenitezMarina BermishevaCarl BlomqvistNatalia V. BogdanovaStig E. BojesenBernardo BonanniHermann BrennerSara Y. BruckerSaundra S. BuysJose E. CastelaoTsun L. ChanJenny Chang-ClaudeStephen J. ChanockJi-Yeob ChoiWendy K. ChungNBCS CollaboratorsSarah V. ColonnaCTS ConsortiumSten CornelissenFergus J. CouchKamila CzeneMary B. DalyPeter DevileeThilo DörkLaure DossusMiriam DwekDiana M. EcclesArif B. EkiciA. Heather EliassenChristoph EngelD. Gareth EvansPeter A. FaschingOlivia FletcherHenrik FlygerManuela Gago-DominguezYu-Tang GaoMontserrat García-ClosasJosé A. García-SáenzJeanine GenkingerAleksandra Gentry-MaharajFelix GrassmannPascal GuénelMelanie GündertLothar HaeberleEric HahnenChristopher A. HaimanNiclas HåkanssonPer HallElaine F. HarknessPatricia A. HarringtonJaana M. HartikainenMikael HartmanAlexander HeinWeang-Kee HoMaartje J. HooningReiner HoppeJohn L. HopperRichard S. HoulstonAnthony HowellDavid J. HunterDezheng HuoABCTB InvestigatorsHidemi ItoMotoki IwasakiAnna JakubowskaWolfgang JanniEsther M. JohnMichael E. JonesAudrey JungRudolf KaaksDaehee KangElza K. KhusnutdinovaSung-Won KimCari M. KitaharaStella KoutrosPeter KraftVessela N. KristensenKaterina Kubelka-SabitAllison W. KurianAva KwongJames V. LaceyDiether LambrechtsLoic Le MarchandJingmei LiMartha LinetWing-Yee LoJirong LongArtitaya LophatananonArto MannermaaMehdi ManoochehriSara MargolinKeitaro MatsuoDimitrios MavroudisUsha MenonKenneth MuirRachel A. MurphyHeli NevanlinnaWilliam G. NewmanDieter NiederacherKatie M. O’BrienNadia ObiKenneth OffitOlufunmilayo I. OlopadeAndrew F. OlshanHåkan OlssonSue K. ParkAlpa V. PatelAchal PatelCharles M. PerouJulian PetoPaul D. P. PharoahDijana Plaseska-KaranfilskaNadege PresneauBrigitte RackPaolo RadiceDhanya RamachandranMuhammad U. RashidGad RennertAtocha RomeroKathryn J. RuddyMatthias RuebnerEmmanouil SaloustrosDale P. SandlerElinor J. SawyerMarjanka K. SchmidtRita K. SchmutzlerMichael O. SchneiderChristopher ScottMitul ShahPriyanka SharmaChen-Yang ShenXiao-Ou ShuJacques SimardHarald SurowyRulla M. TamimiWilliam J. TapperJack A. TaylorSoo Hwang TeoLauren R. TerasAmanda E. TolandRob A. E. M. TollenaarDiana TorresGabriela Torres-MejíaMelissa A. TroesterThérèse TruongCeline M. VachonJoseph VijaiClarice R. WeinbergCamilla WendtRobert WinqvistAlicja WolkAnna H. WuTaiki YamajiXiaohong R. YangJyh-Cherng YuWei ZhengArgyrios ZiogasElad ZivAlison M. DunningDouglas F. EastonHarry HemingwayUte HamannKaroline B. Kuchenbaecker
Source
Genome Medicine, Vol 15, Iss 1, Pp 1-18 (2023)
Subject
Breast cancer susceptibility
Diverse ancestry
Rare variants
Gene regulation
Genome-wide association study
Medicine
Genetics
QH426-470
Language
English
ISSN
1756-994X
Abstract
Abstract Background Low-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes. Methods We evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes’ coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry. Results In European ancestry samples, 14 genes were significantly associated (q