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. 2013 Apr;45(4):392-8, 398e1-2.
doi: 10.1038/ng.2561.

Genome-wide association studies identify four ER negative-specific breast cancer risk loci

Montserrat Garcia-Closas  1 Fergus J CouchSara LindstromKyriaki MichailidouMarjanka K SchmidtMark N BrookNick OrrSuhn Kyong RhieElio RiboliHeather S FeigelsonLoic Le MarchandJulie E BuringDiana EcclesPenelope MironPeter A FaschingHiltrud BrauchJenny Chang-ClaudeJane CarpenterAndrew K GodwinHeli NevanlinnaGraham G GilesAngela CoxJohn L HopperManjeet K BollaQin WangJoe DennisEd DicksWill J HowatNils SchoofStig E BojesenDiether LambrechtsAnnegien BroeksIrene L AndrulisPascal GuénelBarbara BurwinkelElinor J SawyerAntoinette HollestelleOlivia FletcherRobert WinqvistHermann BrennerArto MannermaaUte HamannAlfons MeindlAnnika LindblomWei ZhengPeter DevilleeMark S GoldbergJan LubinskiVessela KristensenAnthony SwerdlowHoda Anton-CulverThilo DörkKenneth MuirKeitaro MatsuoAnna H WuPaolo RadiceSoo Hwang TeoXiao-Ou ShuWilliam BlotDaehee KangMikael HartmanSuleeporn SangrajrangChen-Yang ShenMelissa C SoutheyDaniel J ParkFleur HammetJennifer StoneLaura J Van't VeerEmiel J RutgersArtitaya LophatananonSarah Stewart-BrownPornthep SiriwanarangsanJulian PetoMichael G SchrauderArif B EkiciMatthias W BeckmannIsabel Dos Santos SilvaNichola JohnsonHelen WarrenIan TomlinsonMichael J KerinNicola MillerFederick MarmeAndreas SchneeweissChristof SohnTherese TruongPierre Laurent-PuigPierre KerbratBørge G NordestgaardSune F NielsenHenrik FlygerRoger L MilneJose Ignacio Arias PerezPrimitiva MenéndezHeiko MüllerVolker ArndtChrista StegmaierPeter LichtnerMagdalena LochmannChristina JustenhovenYon-Dschun KoGene ENvironmental Interaction and breast CAncer (GENICA) NetworkTaru A MuranenKristiina AittomäkiCarl BlomqvistDario GrecoTuomas HeikkinenHidemi ItoHiroji IwataYasushi YatabeNatalia N AntonenkovaSara MargolinVesa KatajaVeli-Matti KosmaJaana M HartikainenRosemary BalleinekConFab InvestigatorsChiu-Chen TsengDavid Van Den BergDaniel O StramPatrick NevenAnne-Sophie DieudonnéKarin LeunenAnja RudolphStefan NickelsDieter Flesch-JanysPaolo PeterlongoBernard PeisselLoris BernardJanet E OlsonXianshu WangKristen StevensGianluca SeveriLaura BagliettoCatriona McLeanGerhard A CoetzeeYe FengBrian E HendersonFredrick SchumacherNatalia V BogdanovaFrance LabrècheMartine DumontCheng Har YipNur Aishah Mohd TaibChing-Yu ChengMartha ShrubsoleJirong LongKatri PylkäsArja Jukkola-VuorinenSaila KauppilaJulia A KnightGord GlendonAnna Marie MulliganRobertus A E M TollenaarCaroline M SeynaeveMieke KriegeMaartje J HooningAns M W van den OuwelandCarolien H M van DeurzenWei LuYu-Tang GaoHui CaiSabapathy P BalasubramanianSimon S CrossMalcolm W R ReedLisa SignorelloQiuyin CaiMitul ShahHui MiaoChing Wan ChanKee Seng ChiaAnna JakubowskaKatarzyna JaworskaKatarzyna DurdaChia-Ni HsiungPei-Ei WuJyh-Cherng YuAlan AshworthMichael JonesDaniel C TessierAnna González-NeiraGuillermo PitaM Rosario AlonsoDaniel VincentFrancois BacotChristine B AmbrosoneElisa V BanderaEsther M JohnGary K ChenJennifer J HuJorge L Rodriguez-GilLeslie BernsteinMichael F PressRegina G ZieglerRobert M MillikanSandra L Deming-HalversonSarah NyanteSue A InglesQuinten WaisfiszHelen TsimiklisEnes MakalicDaniel SchmidtMinh BuiLorna GibsonBertram Müller-MyhsokRita K SchmutzlerRebecca HeinNorbert DahmenLars BeckmannKirsimari AaltonenKamila CzeneAstrid IrwantoJianjun LiuClare TurnbullFamilial Breast Cancer Study (FBCS)Nazneen RahmanHanne Meijers-HeijboerAndre G UitterlindenFernando RivadeneiraAustralian Breast Cancer Tissue Bank (ABCTB) InvestigatorsCurtis OlswoldSusan SlagerRobert PilarskiFoluso AdemuyiwaIrene KonstantopoulouNicholas G MartinGrant W MontgomeryDennis J SlamonClaudia RauhMichael P LuxSebastian M JudThomas BruningJoellen WeaverPriyanka SharmaHarsh PathakWill TapperSue GertyLorraine DurcanDimitrios TrichopoulosRosario TuminoPetra H PeetersRudolf KaaksDaniele CampaFederico CanzianElisabete WeiderpassMattias JohanssonKay-Tee KhawRuth TravisFrançoise Clavel-ChapelonLaurence N KolonelConstance ChenAndy BeckSusan E HankinsonChristine D BergRobert N HooverJolanta LissowskaJonine D FigueroaDaniel I ChasmanMia M GaudetW Ryan DiverWalter C WillettDavid J HunterJacques SimardJavier BenitezAlison M DunningMark E ShermanGeorgia Chenevix-TrenchStephen J ChanockPer HallPaul D P PharoahCeline VachonDouglas F EastonChristopher A HaimanPeter Kraft
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Genome-wide association studies identify four ER negative-specific breast cancer risk loci

Montserrat Garcia-Closas et al. Nat Genet. 2013 Apr.

Abstract

Estrogen receptor (ER)-negative tumors represent 20-30% of all breast cancers, with a higher proportion occurring in younger women and women of African ancestry. The etiology and clinical behavior of ER-negative tumors are different from those of tumors expressing ER (ER positive), including differences in genetic predisposition. To identify susceptibility loci specific to ER-negative disease, we combined in a meta-analysis 3 genome-wide association studies of 4,193 ER-negative breast cancer cases and 35,194 controls with a series of 40 follow-up studies (6,514 cases and 41,455 controls), genotyped using a custom Illumina array, iCOGS, developed by the Collaborative Oncological Gene-environment Study (COGS). SNPs at four loci, 1q32.1 (MDM4, P = 2.1 × 10(-12) and LGR6, P = 1.4 × 10(-8)), 2p24.1 (P = 4.6 × 10(-8)) and 16q12.2 (FTO, P = 4.0 × 10(-8)), were associated with ER-negative but not ER-positive breast cancer (P > 0.05). These findings provide further evidence for distinct etiological pathways associated with invasive ER-positive and ER-negative breast cancers.

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Figures

Figure 1
Figure 1
Association and recombination plots. (a–d) Results are shown for the 1q32.1 (rs4245739; MDM4) (a), 1q32.1 (rs6678914; LGR6) (b), 2p24.1 (rs12710696) (c) and 16q12.2 (rs11075995; FTO) (d) loci in populations of European ancestry. Data from ER-negative breast cancer GWAS are plotted as circles; LD between each SNP and the top SNP (blue) is indicated by the color of the symbol. Estimates from the combined analysis of GWAS and BCAC replication data are plotted as squares, with the top SNP shown in blue. Recombination rates, plotted in light blue, are based on the HapMap CEU samples (Utah residents of Northern and Western European ancestry), and genomic coordinates are based on GRCh37 of the human genome.

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