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. 2013 Jan;45(1):25-33.
doi: 10.1038/ng.2480. Epub 2012 Dec 2.

Large-scale association analysis identifies new risk loci for coronary artery disease

CARDIoGRAMplusC4D ConsortiumPanos DeloukasStavroula KanoniChristina WillenborgMartin FarrallThemistocles L AssimesJohn R ThompsonErik IngelssonDanish SaleheenJeanette ErdmannBenjamin A GoldsteinKathleen StirrupsInke R KönigJean-Baptiste CazierAsa JohanssonAlistair S HallJong-Young LeeCristen J WillerJohn C ChambersTõnu EskoLasse FolkersenAnuj GoelElin GrundbergAki S HavulinnaWeang K HoJemma C HopewellNiclas ErikssonMarcus E KleberKati KristianssonPer LundmarkLeo-Pekka LyytikäinenSuzanne RafeltDmitry ShunginRona J StrawbridgeGudmar ThorleifssonEmmi TikkanenNatalie Van ZuydamBenjamin F VoightLindsay L WaiteWeihua ZhangAndreas ZieglerDevin AbsherDavid AltshulerAnthony J BalmforthInês BarrosoPeter S BraundChristof BurgdorfSimone Claudi-BoehmDavid CoxMaria DimitriouRon DoDIAGRAM ConsortiumCARDIOGENICS ConsortiumAlex S F DoneyNourEddine El MokhtariPer ErikssonKrista FischerPierre FontanillasAnders Franco-CerecedaBruna GiganteLeif GroopStefan GustafssonJörg HagerGöran HallmansBok-Ghee HanSarah E HuntHyun M KangThomas IlligThorsten KesslerJoshua W KnowlesGenovefa KolovouJohanna KuusistoClaudia LangenbergCordelia LangfordKarin LeanderMarja-Liisa LokkiAnders LundmarkMark I McCarthyChrista MeisingerOlle MelanderEvelin MihailovSeraya MaoucheAndrew D MorrisMartina Müller-NurasyidMuTHER ConsortiumKjell NikusJohn F PedenN William RaynerAsif RasheedSilke RosingerDiana RubinMoritz P RumpfArne SchäferMohan SivananthanCi SongAlexandre F R StewartSian-Tsung TanGudmundur ThorgeirssonC Ellen van der SchootPeter J WagnerWellcome Trust Case Control ConsortiumGeorge A WellsPhilipp S WildTsun-Po YangPhilippe AmouyelDominique ArveilerHanneke BasartMichael BoehnkeEric BoerwinklePaolo BrambillaFrancois CambienAdrienne L CupplesUlf de FaireAbbas DehghanPatrick DiemertStephen E EpsteinAlun EvansMarco M FerrarioJean FerrièresDominique GauguierAlan S GoAlison H GoodallVilli GudnasonStanley L HazenHilma HolmCarlos IribarrenYangsoo JangMika KähönenFrank KeeHyo-Soo KimNorman KloppWolfgang KoenigWolfgang KratzerKari KuulasmaaMarkku LaaksoReijo LaaksonenJi-Young LeeLars LindWillem H OuwehandSarah ParishJeong E ParkNancy L PedersenAnnette PetersThomas QuertermousDaniel J RaderVeikko SalomaaEric SchadtSvati H ShahJuha SinisaloKlaus StarkKari StefanssonDavid-Alexandre TrégouëtJarmo VirtamoLars WallentinNicholas WarehamMartina E ZimmermannMarkku S NieminenChristian HengstenbergManjinder S SandhuTomi PastinenAnn-Christine SyvänenG Kees HovinghGeorge DedoussisPaul W FranksTerho LehtimäkiAndres MetspaluPierre A ZallouaAgneta SiegbahnStefan SchreiberSamuli RipattiStefan S BlankenbergMarkus PerolaRobert ClarkeBernhard O BoehmChristopher O'DonnellMuredach P ReillyWinfried MärzRory CollinsSekar KathiresanAnders HamstenJaspal S KoonerUnnur ThorsteinsdottirJohn DaneshColin N A PalmerRobert RobertsHugh WatkinsHeribert SchunkertNilesh J Samani

Large-scale association analysis identifies new risk loci for coronary artery disease

CARDIoGRAMplusC4D Consortium et al. Nat Genet. 2013 Jan.

Abstract

Coronary artery disease (CAD) is the commonest cause of death. Here, we report an association analysis in 63,746 CAD cases and 130,681 controls identifying 15 loci reaching genome-wide significance, taking the number of susceptibility loci for CAD to 46, and a further 104 independent variants (r(2) < 0.2) strongly associated with CAD at a 5% false discovery rate (FDR). Together, these variants explain approximately 10.6% of CAD heritability. Of the 46 genome-wide significant lead SNPs, 12 show a significant association with a lipid trait, and 5 show a significant association with blood pressure, but none is significantly associated with diabetes. Network analysis with 233 candidate genes (loci at 10% FDR) generated 5 interaction networks comprising 85% of these putative genes involved in CAD. The four most significant pathways mapping to these networks are linked to lipid metabolism and inflammation, underscoring the causal role of these activities in the genetic etiology of CAD. Our study provides insights into the genetic basis of CAD and identifies key biological pathways.

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Figures

Figure 1
Figure 1
Canonical pathway analysis. (a) The four most significant canonical pathways represented in networks 3, 5 and 9, and overlapping networks ON1 (includes networks 1, 2, 6 and 8) and ON2 (includes networks 4 and 7); all molecules are listed by network in supplementary table 10. (b) Schematic showing parts of the atherosclerosis signaling, LXR/RXR activation and acute phase response signaling canonical pathways (Ingenuity) that are involved in both lipid metabolism and inflammation. Genes in confirmed CAD susceptibility loci (including both previously and newly reported) and in loci showing suggestive association with an FDR of <10% are depicted as black and gray ovals, respectively. Other key genes are depicted as white ovals; notably, some of them, such as IL1F10-IL1B, STAT3 and HMGCR, have SNPs ranking in the top 1,000 in the FDR analysis. The process leading to myocardial infarction involves multiple cell types that are depicted in this schematic as a composite cell (large oval) and its nucleus (inner oval) in the extracellular space; the smooth muscle cell is shown separately (SMC; red oval), whereas the blue oval depicts cell types involved in the inflammatory response.

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