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. 2014 May;35(5):1012-9.
doi: 10.1093/carcin/bgt404. Epub 2013 Dec 9.

Genome-wide association study identifies 25 known breast cancer susceptibility loci as risk factors for triple-negative breast cancer

Kristen S Purrington  1 Susan SlagerDiana EcclesDrakoulis YannoukakosPeter A FaschingPenelope MironJane CarpenterJenny Chang-ClaudeNicholas G MartinGrant W MontgomeryVessela KristensenHoda Anton-CulverPaul GoodfellowWilliam J TapperSajjad RafiqSusan M GertyLorraine DurcanIrene KonstantopoulouFlorentia FostiraAthanassios VratimosParaskevi ApostolouIrene KonstantaVassiliki KotoulaSotiris LakisMeletios A DimopoulosDimosthenis SkarlosDimitrios PectasidesGeorge FountzilasMatthias W BeckmannAlexander HeinMatthias RuebnerArif B EkiciArndt HartmannRuediger Schulz-WendtlandStefan P RennerWolfgang JanniBrigitte RackChristoph ScholzJulia NeugebauerUlrich AndergassenMichael P LuxLothar HaeberleChristine ClarkeNirmala PathmanathanAnja RudolphDieter Flesch-JanysStefan NickelsJanet E OlsonJames N IngleCurtis OlswoldSeth SlettedahlJeanette E Eckel-PassowS Keith AndersonDaniel W VisscherVictoria L CafourekHugues SicotteNaresh ProdduturiElisabete WeiderpassLeslie BernsteinArgyrios ZiogasJennifer IvanovichGraham G GilesLaura BagliettoMelissa SoutheyVeli-Matti KosmaHans-Peter FischerGENICA NetworkMalcom W R ReedSimon S CrossSandra Deming-HalversonMartha ShrubsoleQiuyin CaiXiao-Ou ShuMary DalyJoellen WeaverEric RossJennifer KlempPriyanka SharmaDiana TorresThomas RüdigerHeidrun WölfingHans-Ulrich UlmerAsta FörstiThaer KhouryShicha KumarRobert PilarskiCharles L ShapiroDario GrecoPäivi HeikkiläKristiina AittomäkiCarl BlomqvistAstrid IrwantoJianjun LiuVernon Shane PankratzXianshu WangGianluca SeveriArto MannermaaDouglas EastonPer HallHiltrud BrauchAngela CoxWei ZhengAndrew K GodwinUte HamannChristine AmbrosoneAmanda Ewart TolandHeli NevanlinnaCeline M VachonFergus J Couch
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Genome-wide association study identifies 25 known breast cancer susceptibility loci as risk factors for triple-negative breast cancer

Kristen S Purrington et al. Carcinogenesis. 2014 May.

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.

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Figures

Fig. 1.
Fig. 1.
Cumulative incidence of TN breast cancer stratified by 74 SNP PRS. The effect of the 74 SNP PRS on cumulative risk of TN breast cancer among Caucasian women, stratified by PRS quintile, is shown. The population-based cumulative risk curve is shown as a solid black line, and the first through fifth quintile-specific cumulative risk estimates are shown as indicated by labels.

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