03838nas a2200829 4500008004100000022001400041245013700055210006900192260001300261300001100274490000600285520145100291653001001742653000901752653002201761653002801783653001901811653004001830653001101870653001501881653001701896653003401913653001101947653000901958653001601967653001301983653003601996653001602032100001902048700001602067700002002083700001702103700001902120700002402139700002002163700002002183700001802203700002202221700002202243700001802265700002002283700002202303700002302325700002202348700001902370700002102389700001902410700002302429700002602452700001802478700002002496700002302516700002202539700001802561700002402579700002102603700002302624700002802647700002402675700002202699700002002721700002102741700002102762700002102783700003002804700002802834700002302862700002302885700002102908710004302929856003602972 2009 eng d a1942-326800aAssociation of novel genetic Loci with circulating fibrinogen levels: a genome-wide association study in 6 population-based cohorts.0 aAssociation of novel genetic Loci with circulating fibrinogen le c2009 Apr a125-330 v23 a
BACKGROUND: Fibrinogen is both central to blood coagulation and an acute-phase reactant. We aimed to identify common variants influencing circulation fibrinogen levels.
METHODS AND RESULTS: We conducted a genome-wide association analysis on 6 population-based studies, the Rotterdam Study, the Framingham Heart Study, the Cardiovascular Health Study, the Atherosclerosis Risk in Communities Study, the Monitoring of Trends and Determinants in Cardiovascular Disease/KORA Augsburg Study, and the British 1958 Birth Cohort Study, including 22 096 participants of European ancestry. Four loci were marked by 1 or more single-nucleotide polymorphisms that demonstrated genome-wide significance (P<5.0 x 10(-8)). These included a single-nucleotide polymorphism located in the fibrinogen beta chain (FGB) gene and 3 single-nucleotide polymorphisms representing newly identified loci. The high-signal single-nucleotide polymorphisms were rs1800789 in exon 7 of FGB (P=1.8 x 10(-30)), rs2522056 downstream from the interferon regulatory factor 1 (IRF1) gene (P=1.3 x 10(-15)), rs511154 within intron 1 of the propionyl coenzyme A carboxylase (PCCB) gene (P=5.9 x 10(-10)), and rs1539019 on the NLR family pyrin domain containing 3 isoforms (NLRP3) gene (P=1.04 x 10(-8)).
CONCLUSIONS: Our findings highlight biological pathways that may be important in regulation of inflammation underlying cardiovascular disease.
10aAdult10aAged10aAged, 80 and over10aCardiovascular Diseases10aCohort Studies10aEuropean Continental Ancestry Group10aFemale10aFibrinogen10aGenetic Loci10aGenome-Wide Association Study10aHumans10aMale10aMiddle Aged10aPedigree10aPolymorphism, Single Nucleotide10aYoung Adult1 aDehghan, Abbas1 aYang, Qiong1 aPeters, Annette1 aBasu, Saonli1 aBis, Joshua, C1 aRudnicka, Alicja, R1 aKavousi, Maryam1 aChen, Ming-Huei1 aBaumert, Jens1 aLowe, Gordon, D O1 aMcKnight, Barbara1 aTang, Weihong1 ade Maat, Moniek1 aLarson, Martin, G1 aEyhermendy, Susana1 aMcArdle, Wendy, L1 aLumley, Thomas1 aPankow, James, S1 aHofman, Albert1 aMassaro, Joseph, M1 aRivadeneira, Fernando1 aKolz, Melanie1 aTaylor, Kent, D1 aDuijn, Cornelia, M1 aKathiresan, Sekar1 aIllig, Thomas1 aAulchenko, Yurii, S1 aVolcik, Kelly, A1 aJohnson, Andrew, D1 aUitterlinden, André, G1 aTofler, Geoffrey, H1 aGieger, Christian1 aPsaty, Bruce, M1 aCouper, David, J1 aBoerwinkle, Eric1 aKoenig, Wolfgang1 aO'Donnell, Christopher, J1 aWitteman, Jacqueline, C1 aStrachan, David, P1 aSmith, Nicholas, L1 aFolsom, Aaron, R1 aWellcome Trust Case Control Consortium uhttps://chs-nhlbi.org/node/115305938nas a2201621 4500008004100000022001400041245004200055210004100097260001300138300001100151490000700162520145500169653003901624653001601663653004001679653001701719653003801736653001101774653002301785653002801808100002301836700002001859700001801879700002001897700001901917700002001936700002701956700002601983700002202009700002202031700001802053700002202071700001202093700002602105700002002131700002302151700002102174700001802195700001902213700002002232700002202252700001802274700001502292700002102307700001702328700002302345700002202368700002302390700001802413700001902431700002002450700002402470700002202494700002202516700002302538700002502561700001902586700002302605700002102628700002002649700002002669700002102689700002502710700001902735700002402754700002002778700002202798700002302820700001902843700002402862700002002886700002002906700002102926700002302947700002002970700002002990700001703010700002303027700002703050700002203077700001903099700001903118700002803137700001803165700001803183700002103201700002503222700002103247700002603268700002103294700002503315700002203340700002403362700002003386700002203406700002103428700001903449700002003468700001903488700002203507700001803529700002003547700002203567700002403589700002403613700002403637700001703661700001903678700001703697700002403714700002103738700001603759700001903775700001803794700001803812700001803830700002003848700001803868700002403886700002103910700002603931700002203957700002503979700002004004700002204024700002604046700002504072700002504097700001604122700001804138700001904156700002504175700002104200700002104221700001604242710002204258856003604280 2011 eng d a1533-345000aCUBN is a gene locus for albuminuria.0 aCUBN is a gene locus for albuminuria c2011 Mar a555-700 v223 aIdentification of genetic risk factors for albuminuria may alter strategies for early prevention of CKD progression, particularly among patients with diabetes. Little is known about the influence of common genetic variants on albuminuria in both general and diabetic populations. We performed a meta-analysis of data from 63,153 individuals of European ancestry with genotype information from genome-wide association studies (CKDGen Consortium) and from a large candidate gene study (CARe Consortium) to identify susceptibility loci for the quantitative trait urinary albumin-to-creatinine ratio (UACR) and the clinical diagnosis microalbuminuria. We identified an association between a missense variant (I2984V) in the CUBN gene, which encodes cubilin, and both UACR (P = 1.1 × 10(-11)) and microalbuminuria (P = 0.001). We observed similar associations among 6981 African Americans in the CARe Consortium. The associations between this variant and both UACR and microalbuminuria were significant in individuals of European ancestry regardless of diabetes status. Finally, this variant associated with a 41% increased risk for the development of persistent microalbuminuria during 20 years of follow-up among 1304 participants with type 1 diabetes in the prospective DCCT/EDIC Study. In summary, we identified a missense CUBN variant that associates with levels of albuminuria in both the general population and in individuals with diabetes.
10aAfrican Continental Ancestry Group10aAlbuminuria10aEuropean Continental Ancestry Group10aGenetic Loci10aGenetic Predisposition to Disease10aHumans10aMutation, Missense10aReceptors, Cell Surface1 aBöger, Carsten, A1 aChen, Ming-Huei1 aTin, Adrienne1 aOlden, Matthias1 aKöttgen, Anna1 ade Boer, Ian, H1 aFuchsberger, Christian1 aO'Seaghdha, Conall, M1 aPattaro, Cristian1 aTeumer, Alexander1 aLiu, Ching-Ti1 aGlazer, Nicole, L1 aLi, Man1 aO'Connell, Jeffrey, R1 aTanaka, Toshiko1 aPeralta, Carmen, A1 aKutalik, Zoltán1 aLuan, Jian'an1 aZhao, Jing Hua1 aHwang, Shih-Jen1 aAkylbekova, Ermeg1 aKramer, Holly1 aHarst, Pim1 aSmith, Albert, V1 aLohman, Kurt1 ade Andrade, Mariza1 aHayward, Caroline1 aKollerits, Barbara1 aTönjes, Anke1 aAspelund, Thor1 aIngelsson, Erik1 aEiriksdottir, Gudny1 aLauner, Lenore, J1 aHarris, Tamara, B1 aShuldiner, Alan, R1 aMitchell, Braxton, D1 aArking, Dan, E1 aFranceschini, Nora1 aBoerwinkle, Eric1 aEgan, Josephine1 aHernandez, Dena1 aReilly, Muredach1 aTownsend, Raymond, R1 aLumley, Thomas1 aSiscovick, David, S1 aPsaty, Bruce, M1 aKestenbaum, Bryan1 aHaritunians, Talin1 aBergmann, Sven1 aVollenweider, Peter1 aWaeber, Gérard1 aMooser, Vincent1 aWaterworth, Dawn1 aJohnson, Andrew, D1 aFlorez, Jose, C1 aMeigs, James, B1 aLu, Xiaoning1 aTurner, Stephen, T1 aAtkinson, Elizabeth, J1 aLeak, Tennille, S1 aAasarød, Knut1 aSkorpen, Frank1 aSyvänen, Ann-Christine1 aIllig, Thomas1 aBaumert, Jens1 aKoenig, Wolfgang1 aKrämer, Bernhard, K1 aDevuyst, Olivier1 aMychaleckyj, Josyf, C1 aMinelli, Cosetta1 aBakker, Stephan, J L1 aKedenko, Lyudmyla1 aPaulweber, Bernhard1 aCoassin, Stefan1 aEndlich, Karlhans1 aKroemer, Heyo, K1 aBiffar, Reiner1 aStracke, Sylvia1 aVölzke, Henry1 aStumvoll, Michael1 aMägi, Reedik1 aCampbell, Harry1 aVitart, Veronique1 aHastie, Nicholas, D1 aGudnason, Vilmundur1 aKardia, Sharon, L R1 aLiu, Yongmei1 aPolasek, Ozren1 aCurhan, Gary1 aKronenberg, Florian1 aProkopenko, Inga1 aRudan, Igor1 aArnlöv, Johan1 aHallan, Stein1 aNavis, Gerjan1 aParsa, Afshin1 aFerrucci, Luigi1 aCoresh, Josef1 aShlipak, Michael, G1 aBull, Shelley, B1 aPaterson, Nicholas, J1 aWichmann, H-Erich1 aWareham, Nicholas, J1 aLoos, Ruth, J F1 aRotter, Jerome, I1 aPramstaller, Peter, P1 aCupples, Adrienne, L1 aBeckmann, Jacques, S1 aYang, Qiong1 aHeid, Iris, M1 aRettig, Rainer1 aDreisbach, Albert, W1 aBochud, Murielle1 aFox, Caroline, S1 aKao, W, H L1 aCKDGen Consortium uhttps://chs-nhlbi.org/node/127104787nas a2201105 4500008004100000022001400041245006700055210006500122260001600187300001200203490000800215520177000223653001001993653000902003653002202012653004002034653001302074653001102087653004302098653001502141653002002156653003402176653001102210653000902221653001602230653002102246653001902267100002302286700002502309700002302334700001502357700001902372700002002391700002002411700001802431700001802449700002202467700001902489700001902508700001602527700001602543700002802559700002002587700001702607700002202624700002102646700001902667700002202686700002002708700002402728700002002752700002402772700002102796700002002817700002002837700001902857700002502876700002202901700002202923700002002945700001402965700001702979700002202996700002303018700001703041700001903058700001903077700001803096700002003114700002303134700002003157700001803177700001603195700002103211700002003232700002203252700002103274700001903295700002603314700001903340700002003359700001903379700002403398700002003422700002103442700002203463700003003485700003003515700001903545700001803564700002003582700002103602700002203623856003603645 2011 eng d a1524-453900aGenetic predictors of fibrin D-dimer levels in healthy adults.0 aGenetic predictors of fibrin Ddimer levels in healthy adults c2011 May 03 a1864-720 v1233 aBACKGROUND: Fibrin fragment D-dimer, one of several peptides produced when crosslinked fibrin is degraded by plasmin, is the most widely used clinical marker of activated blood coagulation. To identity genetic loci influencing D-dimer levels, we performed the first large-scale, genome-wide association search.
METHODS AND RESULTS: A genome-wide investigation of the genomic correlates of plasma D-dimer levels was conducted among 21 052 European-ancestry adults. Plasma levels of D-dimer were measured independently in each of 13 cohorts. Each study analyzed the association between ≈2.6 million genotyped and imputed variants across the 22 autosomal chromosomes and natural-log–transformed D-dimer levels using linear regression in additive genetic models adjusted for age and sex. Among all variants, 74 exceeded the genome-wide significance threshold and marked 3 regions. At 1p22, rs12029080 (P=6.4×10(-52)) was 46.0 kb upstream from F3, coagulation factor III (tissue factor). At 1q24, rs6687813 (P=2.4×10(-14)) was 79.7 kb downstream of F5, coagulation factor V. At 4q32, rs13109457 (P=2.9×10(-18)) was located between 2 fibrinogen genes: 10.4 kb downstream from FGG and 3.0 kb upstream from FGA. Variants were associated with a 0.099-, 0.096-, and 0.061-unit difference, respectively, in natural-log–transformed D-dimer and together accounted for 1.8% of the total variance. When adjusted for nonsynonymous substitutions in F5 and FGA loci known to be associated with D-dimer levels, there was no evidence of an additional association at either locus.
CONCLUSIONS: Three genes were associated with fibrin D-dimer levels. Of these 3, the F3 association was the strongest, and has not been previously reported.
10aAdult10aAged10aBlood Coagulation10aEuropean Continental Ancestry Group10aFactor V10aFemale10aFibrin Fibrinogen Degradation Products10aFibrinogen10aGenetic Testing10aGenome-Wide Association Study10aHumans10aMale10aMiddle Aged10aReference Values10aThromboplastin1 aSmith, Nicholas, L1 aHuffman, Jennifer, E1 aStrachan, David, P1 aHuang, Jie1 aDehghan, Abbas1 aTrompet, Stella1 aLopez, Lorna, M1 aShin, So-Youn1 aBaumert, Jens1 aVitart, Veronique1 aBis, Joshua, C1 aWild, Sarah, H1 aRumley, Ann1 aYang, Qiong1 aUitterlinden, André, G1 aStott, David, J1 aDavies, Gail1 aCarter, Angela, M1 aThorand, Barbara1 aPolasek, Ozren1 aMcKnight, Barbara1 aCampbell, Harry1 aRudnicka, Alicja, R1 aChen, Ming-Huei1 aBuckley, Brendan, M1 aHarris, Sarah, E1 aPeters, Annette1 aPulanic, Drazen1 aLumley, Thomas1 ade Craen, Anton, J M1 aLiewald, David, C1 aGieger, Christian1 aCampbell, Susan1 aFord, Ian1 aGow, Alan, J1 aLuciano, Michelle1 aPorteous, David, J1 aGuo, Xiuqing1 aSattar, Naveed1 aTenesa, Albert1 aCushman, Mary1 aSlagboom, Eline1 aVisscher, Peter, M1 aSpector, Tim, D1 aIllig, Thomas1 aRudan, Igor1 aBovill, Edwin, G1 aWright, Alan, F1 aMcArdle, Wendy, L1 aTofler, Geoffrey1 aHofman, Albert1 aWestendorp, Rudi, G J1 aStarr, John, M1 aGrant, Peter, J1 aKarakas, Mahir1 aHastie, Nicholas, D1 aPsaty, Bruce, M1 aWilson, James, F1 aLowe, Gordon, D O1 aO'Donnell, Christopher, J1 aWitteman, Jacqueline, C M1 aJukema, Wouter1 aDeary, Ian, J1 aSoranzo, Nicole1 aKoenig, Wolfgang1 aHayward, Caroline uhttps://chs-nhlbi.org/node/128405459nas a2201501 4500008004100000022001400041245016600055210006900221260001600290300001000306490000700316520120500323653001001528653000901538653001001547653002001557653003501577653001901612653002801631653004001659653001701699653003801716653001801754653003401772653001301806653001001819653001101829653001601840653001401856653002801870653003601898653001701934100001901951700002001970700002301990700001802013700002502031700001802056700001902074700002102093700002502114700002002139700002202159700002502181700002202206700001802228700002002246700002302266700001902289700001602308700001602324700001702340700002502357700002202382700002002404700002302424700002002447700001802467700001902485700002002504700002002524700002102544700001802565700002602583700001702609700001902626700002302645700002002668700002302688700002402711700001802735700001802753700001902771700002302790700002202813700002402835700001702859700002402876700002102900700002102921700002002942700001802962700002102980700001703001700001903018700002303037700002403060700002203084700002203106700001903128700002103147700001803168700002003186700001903206700002203225700002503247700002303272700002503295700002003320700002103340700002303361700002703384700002203411700002003433700002003453700002103473700001203494700002303506700001703529700002103546700001803567700002003585700002103605700001903626700002103645700002403666700002003690700002503710700001903735700002403754700002003778700001803798700002503816700002403841700003003865710002603895856003603921 2011 eng d a1546-171800aMeta-analysis of genome-wide association studies from the CHARGE consortium identifies common variants associated with carotid intima media thickness and plaque.0 aMetaanalysis of genomewide association studies from the CHARGE c c2011 Sep 11 a940-70 v433 aCarotid intima media thickness (cIMT) and plaque determined by ultrasonography are established measures of subclinical atherosclerosis that each predicts future cardiovascular disease events. We conducted a meta-analysis of genome-wide association data in 31,211 participants of European ancestry from nine large studies in the setting of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. We then sought additional evidence to support our findings among 11,273 individuals using data from seven additional studies. In the combined meta-analysis, we identified three genomic regions associated with common carotid intima media thickness and two different regions associated with the presence of carotid plaque (P < 5 × 10(-8)). The associated SNPs mapped in or near genes related to cellular signaling, lipid metabolism and blood pressure homeostasis, and two of the regions were associated with coronary artery disease (P < 0.006) in the Coronary Artery Disease Genome-Wide Replication and Meta-Analysis (CARDIoGRAM) consortium. Our findings may provide new insight into pathways leading to subclinical atherosclerosis and subsequent cardiovascular events.
10aAdult10aAged10aAging10aAtherosclerosis10aCarotid Intima-Media Thickness10aCohort Studies10aCoronary Artery Disease10aEuropean Continental Ancestry Group10aGenetic Loci10aGenetic Predisposition to Disease10aGenome, Human10aGenome-Wide Association Study10aGenotype10aHeart10aHumans10aMiddle Aged10aPhenotype10aPlaque, Atherosclerotic10aPolymorphism, Single Nucleotide10aRisk Factors1 aBis, Joshua, C1 aKavousi, Maryam1 aFranceschini, Nora1 aIsaacs, Aaron1 aAbecasis, Goncalo, R1 aSchminke, Ulf1 aPost, Wendy, S1 aSmith, Albert, V1 aCupples, Adrienne, L1 aMarkus, Hugh, S1 aSchmidt, Reinhold1 aHuffman, Jennifer, E1 aLehtimäki, Terho1 aBaumert, Jens1 aMünzel, Thomas1 aHeckbert, Susan, R1 aDehghan, Abbas1 aNorth, Kari1 aOostra, Ben1 aBevan, Steve1 aStoegerer, Eva-Maria1 aHayward, Caroline1 aRaitakari, Olli1 aMeisinger, Christa1 aSchillert, Arne1 aSanna, Serena1 aVölzke, Henry1 aCheng, Yu-Ching1 aThorsson, Bolli1 aFox, Caroline, S1 aRice, Kenneth1 aRivadeneira, Fernando1 aNambi, Vijay1 aHalperin, Eran1 aPetrovic, Katja, E1 aPeltonen, Leena1 aWichmann, Erich, H1 aSchnabel, Renate, B1 aDörr, Marcus1 aParsa, Afshin1 aAspelund, Thor1 aDemissie, Serkalem1 aKathiresan, Sekar1 aReilly, Muredach, P1 aTaylor, Kent1 aUitterlinden, Andre1 aCouper, David, J1 aSitzer, Matthias1 aKähönen, Mika1 aIllig, Thomas1 aWild, Philipp, S1 aOrrù, Marco1 aLüdemann, Jan1 aShuldiner, Alan, R1 aEiriksdottir, Gudny1 aWhite, Charles, C1 aRotter, Jerome, I1 aHofman, Albert1 aSeissler, Jochen1 aZeller, Tanja1 aUsala, Gianluca1 aErnst, Florian1 aLauner, Lenore, J1 aD'Agostino, Ralph, B1 aO'Leary, Daniel, H1 aBallantyne, Christie1 aThiery, Joachim1 aZiegler, Andreas1 aLakatta, Edward, G1 aChilukoti, Ravi, Kumar1 aHarris, Tamara, B1 aWolf, Philip, A1 aPsaty, Bruce, M1 aPolak, Joseph, F1 aLi, Xia1 aRathmann, Wolfgang1 aUda, Manuela1 aBoerwinkle, Eric1 aKlopp, Norman1 aSchmidt, Helena1 aWilson, James, F1 aViikari, Jorma1 aKoenig, Wolfgang1 aBlankenberg, Stefan1 aNewman, Anne, B1 aWitteman, Jacqueline1 aHeiss, Gerardo1 avan Duijn, Cornelia1 aScuteri, Angelo1 aHomuth, Georg1 aMitchell, Braxton, D1 aGudnason, Vilmundur1 aO'Donnell, Christopher, J1 aCARDIoGRAM consortium uhttps://chs-nhlbi.org/node/132306092nas a2201597 4500008004100000022001400041245012900055210006900184260001600253300001000269490000800279520159300287653001501880653002301895653002801918653003801946653003401984653001102018653001702029653001502046100001902061700001902080700001902099700001902118700002402137700001302161700002002174700002502194700002302219700002002242700001802262700002302280700002702303700002202330700002102352700002102373700001902394700002102413700001702434700001902451700002502470700001902495700002002514700002002534700002102554700002402575700001702599700002002616700002002636700002002656700002302676700002102699700002002720700001702740700001702757700001902774700001902793700002202812700002202834700002302856700002202879700002202901700002202923700002102945700002602966700002102992700002503013700001803038700001803056700002003074700001303094700002303107700002103130700001903151700001903170700001903189700001803208700001703226700002203243700001703265700004103282700002003323700002003343700001903363700002003382700002403402700001903426700002503445700001903470700001703489700001803506700001403524700002403538700001703562700002203579700001703601700002403618700001603642700002103658700002303679700002103702700002203723700001603745700002303761700002203784700002803806700002703834700001803861700001803879700002003897700002603917700002103943700002703964700002003991700002204011700002504033700002004058700002304078700001904101700002004120700002204140700002604162700002304188700002004211700002004231700002404251700002004275700001804295700002104313700002804334700003004362700002404392700001904416700002304435856003604458 2011 eng d a1524-453900aMeta-analysis of genome-wide association studies in >80 000 subjects identifies multiple loci for C-reactive protein levels.0 aMetaanalysis of genomewide association studies in 80 000 subject c2011 Feb 22 a731-80 v1233 aBACKGROUND: C-reactive protein (CRP) is a heritable marker of chronic inflammation that is strongly associated with cardiovascular disease. We sought to identify genetic variants that are associated with CRP levels.
METHODS AND RESULTS: We performed a genome-wide association analysis of CRP in 66 185 participants from 15 population-based studies. We sought replication for the genome-wide significant and suggestive loci in a replication panel comprising 16 540 individuals from 10 independent studies. We found 18 genome-wide significant loci, and we provided evidence of replication for 8 of them. Our results confirm 7 previously known loci and introduce 11 novel loci that are implicated in pathways related to the metabolic syndrome (APOC1, HNF1A, LEPR, GCKR, HNF4A, and PTPN2) or the immune system (CRP, IL6R, NLRP3, IL1F10, and IRF1) or that reside in regions previously not known to play a role in chronic inflammation (PPP1R3B, SALL1, PABPC4, ASCL1, RORA, and BCL7B). We found a significant interaction of body mass index with LEPR (P<2.9×10(-6)). A weighted genetic risk score that was developed to summarize the effect of risk alleles was strongly associated with CRP levels and explained ≈5% of the trait variance; however, there was no evidence for these genetic variants explaining the association of CRP with coronary heart disease.
CONCLUSIONS: We identified 18 loci that were associated with CRP levels. Our study highlights immune response and metabolic regulatory pathways involved in the regulation of chronic inflammation.
10aBiomarkers10aC-Reactive Protein10aCardiovascular Diseases10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aHumans10aRisk Factors10aVasculitis1 aDehghan, Abbas1 aDupuis, Josée1 aBarbalic, Maja1 aBis, Joshua, C1 aEiriksdottir, Gudny1 aLu, Chen1 aPellikka, Niina1 aWallaschofski, Henri1 aKettunen, Johannes1 aHenneman, Peter1 aBaumert, Jens1 aStrachan, David, P1 aFuchsberger, Christian1 aVitart, Veronique1 aWilson, James, F1 aParé, Guillaume1 aNaitza, Silvia1 aRudock, Megan, E1 aSurakka, Ida1 aGeus, Eco, J C1 aAlizadeh, Behrooz, Z1 aGuralnik, Jack1 aShuldiner, Alan1 aTanaka, Toshiko1 aZee, Robert, Y L1 aSchnabel, Renate, B1 aNambi, Vijay1 aKavousi, Maryam1 aRipatti, Samuli1 aNauck, Matthias1 aSmith, Nicholas, L1 aSmith, Albert, V1 aSundvall, Jouko1 aScheet, Paul1 aLiu, Yongmei1 aRuokonen, Aimo1 aRose, Lynda, M1 aLarson, Martin, G1 aHoogeveen, Ron, C1 aFreimer, Nelson, B1 aTeumer, Alexander1 aTracy, Russell, P1 aLauner, Lenore, J1 aBuring, Julie, E1 aYamamoto, Jennifer, F1 aFolsom, Aaron, R1 aSijbrands, Eric, J G1 aPankow, James1 aElliott, Paul1 aKeaney, John, F1 aSun, Wei1 aSarin, Antti-Pekka1 aFontes, João, D1 aBadola, Sunita1 aAstor, Brad, C1 aHofman, Albert1 aPouta, Anneli1 aWerdan, Karl1 aGreiser, Karin, H1 aKuss, Oliver1 aMeyer zu Schwabedissen, Henriette, E1 aThiery, Joachim1 aJamshidi, Yalda1 aNolte, Ilja, M1 aSoranzo, Nicole1 aSpector, Timothy, D1 aVölzke, Henry1 aParker, Alexander, N1 aAspelund, Thor1 aBates, David1 aYoung, Lauren1 aTsui, Kim1 aSiscovick, David, S1 aGuo, Xiuqing1 aRotter, Jerome, I1 aUda, Manuela1 aSchlessinger, David1 aRudan, Igor1 aHicks, Andrew, A1 aPenninx, Brenda, W1 aThorand, Barbara1 aGieger, Christian1 aCoresh, Joe1 aWillemsen, Gonneke1 aHarris, Tamara, B1 aUitterlinden, André, G1 aJarvelin, Marjo-Riitta1 aRice, Kenneth1 aRadke, Dörte1 aSalomaa, Veikko1 avan Dijk, Ko, Willems1 aBoerwinkle, Eric1 aVasan, Ramachandran, S1 aFerrucci, Luigi1 aGibson, Quince, D1 aBandinelli, Stefania1 aSnieder, Harold1 aBoomsma, Dorret, I1 aXiao, Xiangjun1 aCampbell, Harry1 aHayward, Caroline1 aPramstaller, Peter, P1 aDuijn, Cornelia, M1 aPeltonen, Leena1 aPsaty, Bruce, M1 aGudnason, Vilmundur1 aRidker, Paul, M1 aHomuth, Georg1 aKoenig, Wolfgang1 aBallantyne, Christie, M1 aWitteman, Jacqueline, C M1 aBenjamin, Emelia, J1 aPerola, Markus1 aChasman, Daniel, I uhttps://chs-nhlbi.org/node/126704113nas a2200817 4500008004100000022001400041245022200055210006900277260001300346300001100359490000700370520161000377653005101987653000902038653002802047653002102075653001102096653001702107653003402124653001102158653000902169653001602178653002202194653003602216100002102252700001902273700001902292700001902311700001902330700001802349700001302367700002302380700002802403700002002431700002502451700002402476700002102500700002602521700002202547700002602569700002302595700002002618700002102638700002402659700002702683700001902710700002202729700002302751700002402774700002002798700002402818700002302842700003202865700002002897700002202917700002102939700001902960700001802979700001802997700002603015700002203041700002203063700002803085700002103113700003003134700002203164700002103186700002403207700002803231856003603259 2012 eng d a1522-964500aEight genetic loci associated with variation in lipoprotein-associated phospholipase A2 mass and activity and coronary heart disease: meta-analysis of genome-wide association studies from five community-based studies.0 aEight genetic loci associated with variation in lipoproteinassoc c2012 Jan a238-510 v333 aAIMS: Lipoprotein-associated phospholipase A2 (Lp-PLA2) generates proinflammatory and proatherogenic compounds in the arterial vascular wall and is a potential therapeutic target in coronary heart disease (CHD). We searched for genetic loci related to Lp-PLA2 mass or activity by a genome-wide association study as part of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.
METHODS AND RESULTS: In meta-analyses of findings from five population-based studies, comprising 13 664 subjects, variants at two loci (PLA2G7, CETP) were associated with Lp-PLA2 mass. The strongest signal was at rs1805017 in PLA2G7 [P = 2.4 × 10(-23), log Lp-PLA2 difference per allele (beta): 0.043]. Variants at six loci were associated with Lp-PLA2 activity (PLA2G7, APOC1, CELSR2, LDL, ZNF259, SCARB1), among which the strongest signals were at rs4420638, near the APOE-APOC1-APOC4-APOC2 cluster [P = 4.9 × 10(-30); log Lp-PLA2 difference per allele (beta): -0.054]. There were no significant gene-environment interactions between these eight polymorphisms associated with Lp-PLA2 mass or activity and age, sex, body mass index, or smoking status. Four of the polymorphisms (in APOC1, CELSR2, SCARB1, ZNF259), but not PLA2G7, were significantly associated with CHD in a second study.
CONCLUSION: Levels of Lp-PLA2 mass and activity were associated with PLA2G7, the gene coding for this protein. Lipoprotein-associated phospholipase A2 activity was also strongly associated with genetic variants related to low-density lipoprotein cholesterol levels.
10a1-Alkyl-2-acetylglycerophosphocholine Esterase10aAged10aCoronary Artery Disease10aCoronary Disease10aFemale10aGenetic Loci10aGenome-Wide Association Study10aHumans10aMale10aMiddle Aged10aPhospholipases A210aPolymorphism, Single Nucleotide1 aGrallert, Harald1 aDupuis, Josée1 aBis, Joshua, C1 aDehghan, Abbas1 aBarbalic, Maja1 aBaumert, Jens1 aLu, Chen1 aSmith, Nicholas, L1 aUitterlinden, André, G1 aRoberts, Robert1 aKhuseyinova, Natalie1 aSchnabel, Renate, B1 aRice, Kenneth, M1 aRivadeneira, Fernando1 aHoogeveen, Ron, C1 aFontes, João, Daniel1 aMeisinger, Christa1 aKeaney, John, F1 aLemaitre, Rozenn1 aAulchenko, Yurii, S1 aVasan, Ramachandran, S1 aEllis, Stephen1 aHazen, Stanley, L1 aDuijn, Cornelia, M1 aNelson, Jeanenne, J1 aMärz, Winfried1 aSchunkert, Heribert1 aMcPherson, Ruth, M1 aStirnadel-Farrant, Heide, A1 aPsaty, Bruce, M1 aGieger, Christian1 aSiscovick, David1 aHofman, Albert1 aIllig, Thomas1 aCushman, Mary1 aYamamoto, Jennifer, F1 aRotter, Jerome, I1 aLarson, Martin, G1 aStewart, Alexandre, F R1 aBoerwinkle, Eric1 aWitteman, Jacqueline, C M1 aTracy, Russell, P1 aKoenig, Wolfgang1 aBenjamin, Emelia, J1 aBallantyne, Christie, M uhttps://chs-nhlbi.org/node/134105960nas a2201525 4500008004100000022001400041245011100055210006900166260001600235300001200251490000800263520152700271653004101798653003201839653005601871653001401927653002101941653001901962653002801981653003002009653003002039653003102069653001902100653003402119653001302153653001102166653002402177653002702201653001402228653001202242653003802254653003602292653001502328653003702343653002102380653002602401100001502427700002502442700002702467700002002494700001802514700002002532700001802552700002802570700002102598700002302619700002302642700002302665700002302688700002202711700002102733700001702754700002602771700001802797700001602815700002002831700002002851700002702871700001902898700002602917700003102943700001802974700001902992700002403011700002103035700002103056700001703077700002003094700002003114700001503134700002303149700002203172700002103194700001803215700002003233700002503253700002303278700002203301700002303323700001903346700001903365700002203384700001703406700001703423700002703440700001703467700001803484700002803502700002803530700002303558700001903581700001803600700003003618700002103648700001703669700002003686700001903706700002203725700001903747700001703766700001903783700002003802700002203822700002403844700001803868700002203886700002803908700002003936700002103956700001803977700002403995700002104019700002204040700002004062700002804082700001804110700002204128700002904150700002104179700002004200700001504220700001704235700003004252700002004282710002304302710002604325710001904351710002804370856003604398 2012 eng d a1528-002000aGenome-wide association study for circulating levels of PAI-1 provides novel insights into its regulation.0 aGenomewide association study for circulating levels of PAI1 prov c2012 Dec 06 a4873-810 v1203 aWe conducted a genome-wide association study to identify novel associations between genetic variants and circulating plasminogen activator inhibitor-1 (PAI-1) concentration, and examined functional implications of variants and genes that were discovered. A discovery meta-analysis was performed in 19 599 subjects, followed by replication analysis of genome-wide significant (P < 5 × 10(-8)) single nucleotide polymorphisms (SNPs) in 10 796 independent samples. We further examined associations with type 2 diabetes and coronary artery disease, assessed the functional significance of the SNPs for gene expression in human tissues, and conducted RNA-silencing experiments for one novel association. We confirmed the association of the 4G/5G proxy SNP rs2227631 in the promoter region of SERPINE1 (7q22.1) and discovered genome-wide significant associations at 3 additional loci: chromosome 7q22.1 close to SERPINE1 (rs6976053, discovery P = 3.4 × 10(-10)); chromosome 11p15.2 within ARNTL (rs6486122, discovery P = 3.0 × 10(-8)); and chromosome 3p25.2 within PPARG (rs11128603, discovery P = 2.9 × 10(-8)). Replication was achieved for the 7q22.1 and 11p15.2 loci. There was nominal association with type 2 diabetes and coronary artery disease at ARNTL (P < .05). Functional studies identified MUC3 as a candidate gene for the second association signal on 7q22.1. In summary, SNPs in SERPINE1 and ARNTL and an SNP associated with the expression of MUC3 were robustly associated with circulating levels of PAI-1.
10aAdaptor Proteins, Signal Transducing10aARNTL Transcription Factors10aATPases Associated with Diverse Cellular Activities10aCell Line10aCell Line, Tumor10aCohort Studies10aCoronary Artery Disease10aDiabetes Mellitus, Type 210aGene Expression Profiling10aGene Expression Regulation10aGene Frequency10aGenome-Wide Association Study10aGenotype10aHumans10aLIM Domain Proteins10aMeta-Analysis as Topic10aMonocytes10aMucin-310aPlasminogen Activator Inhibitor 110aPolymorphism, Single Nucleotide10aPPAR gamma10aProteasome Endopeptidase Complex10aRNA Interference10aTranscription Factors1 aHuang, Jie1 aSabater-Lleal, Maria1 aAsselbergs, Folkert, W1 aTregouet, David1 aShin, So-Youn1 aDing, Jingzhong1 aBaumert, Jens1 aOudot-Mellakh, Tiphaine1 aFolkersen, Lasse1 aJohnson, Andrew, D1 aSmith, Nicholas, L1 aWilliams, Scott, M1 aIkram, Mohammad, A1 aKleber, Marcus, E1 aBecker, Diane, M1 aTruong, Vinh1 aMychaleckyj, Josyf, C1 aTang, Weihong1 aYang, Qiong1 aSennblad, Bengt1 aMoore, Jason, H1 aWilliams, Frances, M K1 aDehghan, Abbas1 aSilbernagel, Günther1 aSchrijvers, Elisabeth, M C1 aSmith, Shelly1 aKarakas, Mahir1 aTofler, Geoffrey, H1 aSilveira, Angela1 aNavis, Gerjan, J1 aLohman, Kurt1 aChen, Ming-Huei1 aPeters, Annette1 aGoel, Anuj1 aHopewell, Jemma, C1 aChambers, John, C1 aSaleheen, Danish1 aLundmark, Per1 aPsaty, Bruce, M1 aStrawbridge, Rona, J1 aBoehm, Bernhard, O1 aCarter, Angela, M1 aMeisinger, Christa1 aPeden, John, F1 aBis, Joshua, C1 aMcKnight, Barbara1 aOhrvik, John1 aTaylor, Kent1 aFranzosi, Maria Grazia1 aSeedorf, Udo1 aCollins, Rory1 aFranco-Cereceda, Anders1 aSyvänen, Ann-Christine1 aGoodall, Alison, H1 aYanek, Lisa, R1 aCushman, Mary1 aMüller-Nurasyid, Martina1 aFolsom, Aaron, R1 aBasu, Saonli1 aMatijevic, Nena1 aGilst, Wiek, H1 aKooner, Jaspal, S1 aHofman, Albert1 aDanesh, John1 aClarke, Robert1 aMeigs, James, B1 aKathiresan, Sekar1 aReilly, Muredach, P1 aKlopp, Norman1 aHarris, Tamara, B1 aWinkelmann, Bernhard, R1 aGrant, Peter, J1 aHillege, Hans, L1 aWatkins, Hugh1 aSpector, Timothy, D1 aBecker, Lewis, C1 aTracy, Russell, P1 aMärz, Winfried1 aUitterlinden, André, G1 aEriksson, Per1 aCambien, Francois1 aMorange, Pierre-Emmanuel1 aKoenig, Wolfgang1 aSoranzo, Nicole1 aHarst, Pim1 aLiu, Yongmei1 aO'Donnell, Christopher, J1 aHamsten, Anders1 aDIAGRAM Consortium1 aCARDIoGRAM consortium1 aC4D Consortium1 aCardiogenics consortium uhttps://chs-nhlbi.org/node/608904091nas a2200793 4500008004100000022001400041245011400055210006900169260001600238300001200254490000700266520179600273653001002069653002202079653000902101653002502110653002402135653002802159653004002187653001102227653004402238653003202282653002202314653003402336653001302370653001102383653000902394653001602403653001502419653003602434653001602470100002502486700002002511700001802531700001902549700001902568700002002587700001802607700002202625700002102647700002002668700002602688700002102714700001802735700002402753700002102777700002102798700003002819700002202849700002002871700001802891700002202909700002402931700002202955700002102977700002202998700002103020700002103041700002103062700002203083700002403105700002003129700002003149700002403169700002203193700002003215710002603235856003603261 2013 eng d a1460-208300aGenome-wide and gene-centric analyses of circulating myeloperoxidase levels in the charge and care consortia.0 aGenomewide and genecentric analyses of circulating myeloperoxida c2013 Aug 15 a3381-930 v223 aIncreased systemic levels of myeloperoxidase (MPO) are associated with the risk of coronary artery disease (CAD). To identify the genetic factors that are associated with circulating MPO levels, we carried out a genome-wide association study (GWAS) and a gene-centric analysis in subjects of European ancestry and African Americans (AAs). A locus on chromosome 1q31.1 containing the complement factor H (CFH) gene was strongly associated with serum MPO levels in 9305 subjects of European ancestry (lead SNP rs800292; P = 4.89 × 10(-41)) and in 1690 AA subjects (rs505102; P = 1.05 × 10(-8)). Gene-centric analyses in 8335 subjects of European ancestry additionally identified two rare MPO coding sequence variants that were associated with serum MPO levels (rs28730837, P = 5.21 × 10(-12); rs35897051, P = 3.32 × 10(-8)). A GWAS for plasma MPO levels in 9260 European ancestry subjects identified a chromosome 17q22 region near MPO that was significantly associated (lead SNP rs6503905; P = 2.94 × 10(-12)), but the CFH locus did not exhibit evidence of association with plasma MPO levels. Functional analyses revealed that rs800292 was associated with levels of complement proteins in serum. Variants at chromosome 17q22 also had pleiotropic cis effects on gene expression. In a case-control analysis of ∼80 000 subjects from CARDIoGRAM, none of the identified single-nucleotide polymorphisms (SNPs) were associated with CAD. These results suggest that distinct genetic factors regulate serum and plasma MPO levels, which may have relevance for various acute and chronic inflammatory disorders. The clinical implications for CAD and a better understanding of the functional basis for the association of CFH and MPO variants with circulating MPO levels require further study.
10aAdult10aAfrican Americans10aAged10aCase-Control Studies10aComplement Factor H10aCoronary Artery Disease10aEuropean Continental Ancestry Group10aFemale10aGene Expression Regulation, Enzymologic10aGenetic Association Studies10aGenetic Variation10aGenome-Wide Association Study10aGenotype10aHumans10aMale10aMiddle Aged10aPeroxidase10aPolymorphism, Single Nucleotide10aYoung Adult1 aReiner, Alexander, P1 aHartiala, Jaana1 aZeller, Tanja1 aBis, Joshua, C1 aDupuis, Josée1 aFornage, Myriam1 aBaumert, Jens1 aKleber, Marcus, E1 aWild, Philipp, S1 aBaldus, Stephan1 aBielinski, Suzette, J1 aFontes, João, D1 aIllig, Thomas1 aKeating, Brendan, J1 aLange, Leslie, A1 aOjeda, Francisco1 aMüller-Nurasyid, Martina1 aMunzel, Thomas, F1 aPsaty, Bruce, M1 aRice, Kenneth1 aRotter, Jerome, I1 aSchnabel, Renate, B1 aTang, W, H Wilson1 aThorand, Barbara1 aErdmann, Jeanette1 aJacobs, David, R1 aWilson, James, G1 aKoenig, Wolfgang1 aTracy, Russell, P1 aBlankenberg, Stefan1 aMärz, Winfried1 aGross, Myron, D1 aBenjamin, Emelia, J1 aHazen, Stanley, L1 aAllayee, Hooman1 aCARDIoGRAM consortium uhttps://chs-nhlbi.org/node/628205039nas a2201297 4500008004100000022001400041245006000055210005600115260001600171300001100187490000700198520149400205653000901699653002201708653003101730653001501761653001101776653003801787653003401825653001101859653000901870653001601879653003601895100001501931700001901946700001601965700002501981700002202006700002502028700001602053700001802069700001802087700002002105700001702125700002302142700002202165700002202187700001602209700002302225700001202248700002502260700002402285700002202309700002002331700002302351700002002374700001702394700002402411700002202435700001902457700001702476700001902493700002102512700002202533700001702555700001802572700002002590700002202610700002202632700001902654700002302673700002002696700002002716700002002736700002402756700001902780700001802799700001902817700002602836700002102862700001702883700002002900700002302920700001802943700002102961700002402982700001703006700001903023700001903042700002003061700002303081700002103104700001703125700001803142700002003160700001903180700002303199700002503222700002103247700002303268700002803291700001903319700002103338700002003359700002303379700002103402700001903423700002303442700002403465700002303489700002003512700002303532700001903555700002203574700002403596700002203620700002003642700002203662700002103684856003603705 2013 eng d a1873-240200aA genome-wide association study of depressive symptoms.0 agenomewide association study of depressive symptoms c2013 Apr 01 a667-780 v733 aBACKGROUND: Depression is a heritable trait that exists on a continuum of varying severity and duration. Yet, the search for genetic variants associated with depression has had few successes. We exploit the entire continuum of depression to find common variants for depressive symptoms.
METHODS: In this genome-wide association study, we combined the results of 17 population-based studies assessing depressive symptoms with the Center for Epidemiological Studies Depression Scale. Replication of the independent top hits (p<1×10(-5)) was performed in five studies assessing depressive symptoms with other instruments. In addition, we performed a combined meta-analysis of all 22 discovery and replication studies.
RESULTS: The discovery sample comprised 34,549 individuals (mean age of 66.5) and no loci reached genome-wide significance (lowest p = 1.05×10(-7)). Seven independent single nucleotide polymorphisms were considered for replication. In the replication set (n = 16,709), we found suggestive association of one single nucleotide polymorphism with depressive symptoms (rs161645, 5q21, p = 9.19×10(-3)). This 5q21 region reached genome-wide significance (p = 4.78×10(-8)) in the overall meta-analysis combining discovery and replication studies (n = 51,258).
CONCLUSIONS: The results suggest that only a large sample comprising more than 50,000 subjects may be sufficiently powered to detect genes for depressive symptoms.
10aAged10aAged, 80 and over10aChromosomes, Human, Pair 510aDepression10aFemale10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aHumans10aMale10aMiddle Aged10aPolymorphism, Single Nucleotide1 aHek, Karin1 aDemirkan, Ayse1 aLahti, Jari1 aTerracciano, Antonio1 aTeumer, Alexander1 aCornelis, Marilyn, C1 aAmin, Najaf1 aBakshis, Erin1 aBaumert, Jens1 aDing, Jingzhong1 aLiu, Yongmei1 aMarciante, Kristin1 aMeirelles, Osorio1 aNalls, Michael, A1 aSun, Yan, V1 aVogelzangs, Nicole1 aYu, Lei1 aBandinelli, Stefania1 aBenjamin, Emelia, J1 aBennett, David, A1 aBoomsma, Dorret1 aCannas, Alessandra1 aCoker, Laura, H1 ade Geus, Eco1 aDe Jager, Philip, L1 aDiez-Roux, Ana, V1 aPurcell, Shaun1 aHu, Frank, B1 aRimma, Eric, B1 aHunter, David, J1 aJensen, Majken, K1 aCurhan, Gary1 aRice, Kenneth1 aPenman, Alan, D1 aRotter, Jerome, I1 aSotoodehnia, Nona1 aEmeny, Rebecca1 aEriksson, Johan, G1 aEvans, Denis, A1 aFerrucci, Luigi1 aFornage, Myriam1 aGudnason, Vilmundur1 aHofman, Albert1 aIllig, Thomas1 aKardia, Sharon1 aKelly-Hayes, Margaret1 aKoenen, Karestan1 aKraft, Peter1 aKuningas, Maris1 aMassaro, Joseph, M1 aMelzer, David1 aMulas, Antonella1 aMulder, Cornelis, L1 aMurray, Anna1 aOostra, Ben, A1 aPalotie, Aarno1 aPenninx, Brenda1 aPetersmann, Astrid1 aPilling, Luke, C1 aPsaty, Bruce1 aRawal, Rajesh1 aReiman, Eric, M1 aSchulz, Andrea1 aShulman, Joshua, M1 aSingleton, Andrew, B1 aSmith, Albert, V1 aSutin, Angelina, R1 aUitterlinden, André, G1 aVölzke, Henry1 aWiden, Elisabeth1 aYaffe, Kristine1 aZonderman, Alan, B1 aCucca, Francesco1 aHarris, Tamara1 aLadwig, Karl-Heinz1 aLlewellyn, David, J1 aRäikkönen, Katri1 aTanaka, Toshiko1 aDuijn, Cornelia, M1 aGrabe, Hans, J1 aLauner, Lenore, J1 aLunetta, Kathryn, L1 aMosley, Thomas, H1 aNewman, Anne, B1 aTiemeier, Henning1 aMurabito, Joanne uhttps://chs-nhlbi.org/node/607008187nas a2202209 4500008004100000022001400041245023300055210006900288260001600357300001200373490000800385520188600393653001502279653001002294653003902304653000902343653002202352653002802374653002802402653004002430653001102470653001502481653001702496653003802513653003402551653002302585653001102608653000902619653001602628653002602644653003602670653001702706653001102723653002702734653001602761100002502777700001502802700002002817700001902837700001902856700002302875700002202898700002002920700002102940700001702961700002402978700002003002700002303022700001803045700001903063700001703082700002303099700001803122700002003140700001603160700002003176700001903196700002803215700002103243700001703264700002503281700002203306700001903328700001703347700002003364700001603384700002003400700001803420700001903438700001903457700002003476700001603496700002003512700001503532700002203547700002103569700002103590700002503611700002303636700002103659700001903680700002003699700001703719700001703736700001703753700002103770700002203791700001903813700002703832700002003859700002403879700002503903700002103928700002003949700002603969700002803995700002104023700001904044700002204063700002304085700002304108700001304131700002504144700002304169700002204192700001904214700002004233700002204253700002004275700002004295700002204315700001804337700002104355700001804376700001904394700001904413700001504432700002704447700001704474700001904491700002204510700002304532700001804555700002404573700002004597700001904617700002404636700001604660700002004676700002204696700002004718700002404738700001804762700002104780700002104801700001904822700002804841700002204869700002004891700002204911700001704933700002104950700002304971700002404994700002305018700002205041700002105063700002205084700001705106700002705123700002205150700002405172700002205196700002405218700002905242700002005271700002305291700001805314700001805332700002005350700003005370700001905400700002205419700002205441700002105463700002105484700001905505700001805524700002005542700002005562700001805582700002205600700002505622700002305647700002005670700002005690700001805710700002305728700002005751700003005771710001905801710002205820710005405842710001905896710002605915856003605941 2013 eng d a1524-453900aMultiethnic meta-analysis of genome-wide association studies in >100 000 subjects identifies 23 fibrinogen-associated Loci but no strong evidence of a causal association between circulating fibrinogen and cardiovascular disease.0 aMultiethnic metaanalysis of genomewide association studies in 10 c2013 Sep 17 a1310-240 v1283 aBACKGROUND: Estimates of the heritability of plasma fibrinogen concentration, an established predictor of cardiovascular disease, range from 34% to 50%. Genetic variants so far identified by genome-wide association studies explain only a small proportion (<2%) of its variation.
METHODS AND RESULTS: We conducted a meta-analysis of 28 genome-wide association studies including >90 000 subjects of European ancestry, the first genome-wide association meta-analysis of fibrinogen levels in 7 studies in blacks totaling 8289 samples, and a genome-wide association study in Hispanics totaling 1366 samples. Evaluation for association of single-nucleotide polymorphisms with clinical outcomes included a total of 40 695 cases and 85 582 controls for coronary artery disease, 4752 cases and 24 030 controls for stroke, and 3208 cases and 46 167 controls for venous thromboembolism. Overall, we identified 24 genome-wide significant (P<5×10(-8)) independent signals in 23 loci, including 15 novel associations, together accounting for 3.7% of plasma fibrinogen variation. Gene-set enrichment analysis highlighted key roles in fibrinogen regulation for the 3 structural fibrinogen genes and pathways related to inflammation, adipocytokines, and thyrotrophin-releasing hormone signaling. Whereas lead single-nucleotide polymorphisms in a few loci were significantly associated with coronary artery disease, the combined effect of all 24 fibrinogen-associated lead single-nucleotide polymorphisms was not significant for coronary artery disease, stroke, or venous thromboembolism.
CONCLUSIONS: We identify 23 robustly associated fibrinogen loci, 15 of which are new. Clinical outcome analysis of these loci does not support a causal relationship between circulating levels of fibrinogen and coronary artery disease, stroke, or venous thromboembolism.
10aAdolescent10aAdult10aAfrican Continental Ancestry Group10aAged10aAged, 80 and over10aCardiovascular Diseases10aCoronary Artery Disease10aEuropean Continental Ancestry Group10aFemale10aFibrinogen10aGenetic Loci10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aHispanic Americans10aHumans10aMale10aMiddle Aged10aMyocardial Infarction10aPolymorphism, Single Nucleotide10aRisk Factors10aStroke10aVenous Thromboembolism10aYoung Adult1 aSabater-Lleal, Maria1 aHuang, Jie1 aChasman, Daniel1 aNaitza, Silvia1 aDehghan, Abbas1 aJohnson, Andrew, D1 aTeumer, Alexander1 aReiner, Alex, P1 aFolkersen, Lasse1 aBasu, Saonli1 aRudnicka, Alicja, R1 aTrompet, Stella1 aMälarstig, Anders1 aBaumert, Jens1 aBis, Joshua, C1 aGuo, Xiuqing1 aHottenga, Jouke, J1 aShin, So-Youn1 aLopez, Lorna, M1 aLahti, Jari1 aTanaka, Toshiko1 aYanek, Lisa, R1 aOudot-Mellakh, Tiphaine1 aWilson, James, F1 aNavarro, Pau1 aHuffman, Jennifer, E1 aZemunik, Tatijana1 aRedline, Susan1 aMehra, Reena1 aPulanic, Drazen1 aRudan, Igor1 aWright, Alan, F1 aKolcic, Ivana1 aPolasek, Ozren1 aWild, Sarah, H1 aCampbell, Harry1 aCurb, David1 aWallace, Robert1 aLiu, Simin1 aEaton, Charles, B1 aBecker, Diane, M1 aBecker, Lewis, C1 aBandinelli, Stefania1 aRäikkönen, Katri1 aWiden, Elisabeth1 aPalotie, Aarno1 aFornage, Myriam1 aGreen, David1 aGross, Myron1 aDavies, Gail1 aHarris, Sarah, E1 aLiewald, David, C1 aStarr, John, M1 aWilliams, Frances, M K1 aGrant, Peter, J1 aSpector, Timothy, D1 aStrawbridge, Rona, J1 aSilveira, Angela1 aSennblad, Bengt1 aRivadeneira, Fernando1 aUitterlinden, André, G1 aFranco, Oscar, H1 aHofman, Albert1 avan Dongen, Jenny1 aWillemsen, Gonneke1 aBoomsma, Dorret, I1 aYao, Jie1 aJenny, Nancy, Swords1 aHaritunians, Talin1 aMcKnight, Barbara1 aLumley, Thomas1 aTaylor, Kent, D1 aRotter, Jerome, I1 aPsaty, Bruce, M1 aPeters, Annette1 aGieger, Christian1 aIllig, Thomas1 aGrotevendt, Anne1 aHomuth, Georg1 aVölzke, Henry1 aKocher, Thomas1 aGoel, Anuj1 aFranzosi, Maria Grazia1 aSeedorf, Udo1 aClarke, Robert1 aSteri, Maristella1 aTarasov, Kirill, V1 aSanna, Serena1 aSchlessinger, David1 aStott, David, J1 aSattar, Naveed1 aBuckley, Brendan, M1 aRumley, Ann1 aLowe, Gordon, D1 aMcArdle, Wendy, L1 aChen, Ming-Huei1 aTofler, Geoffrey, H1 aSong, Jaejoon1 aBoerwinkle, Eric1 aFolsom, Aaron, R1 aRose, Lynda, M1 aFranco-Cereceda, Anders1 aTeichert, Martina1 aIkram, Arfan, M1 aMosley, Thomas, H1 aBevan, Steve1 aDichgans, Martin1 aRothwell, Peter, M1 aSudlow, Cathie, L M1 aHopewell, Jemma, C1 aChambers, John, C1 aSaleheen, Danish1 aKooner, Jaspal, S1 aDanesh, John1 aNelson, Christopher, P1 aErdmann, Jeanette1 aReilly, Muredach, P1 aKathiresan, Sekar1 aSchunkert, Heribert1 aMorange, Pierre-Emmanuel1 aFerrucci, Luigi1 aEriksson, Johan, G1 aJacobs, David1 aDeary, Ian, J1 aSoranzo, Nicole1 aWitteman, Jacqueline, C M1 aGeus, Eco, J C1 aTracy, Russell, P1 aHayward, Caroline1 aKoenig, Wolfgang1 aCucca, Francesco1 aJukema, Wouter1 aEriksson, Per1 aSeshadri, Sudha1 aMarkus, Hugh, S1 aWatkins, Hugh1 aSamani, Nilesh, J1 aWallaschofski, Henri1 aSmith, Nicholas, L1 aTregouet, David1 aRidker, Paul, M1 aTang, Weihong1 aStrachan, David, P1 aHamsten, Anders1 aO'Donnell, Christopher, J1 aVTE Consortium1 aSTROKE Consortium1 aWellcome Trust Case Control Consortium 2 (WTCCC2)1 aC4D Consortium1 aCARDIoGRAM consortium uhttps://chs-nhlbi.org/node/615505300nas a2201225 4500008004100000022001400041245016600055210006900221260001600290300001300306490000700319520181200326653001402138653001002152653000902162653002202171653002002193653004002213653001102253653003402264653001102298653000902309653001602318653002402334653002002358653001602378100002202394700001502416700002502431700002302456700002102479700002602500700002502526700002102551700001802572700002302590700002402613700002302637700001902660700001602679700001402695700002902709700001802738700002202756700001402778700002002792700002302812700001802835700002402853700002302877700001902900700003102919700002702950700002602977700001803003700001603021700002003037700002203057700001803079700001603097700001903113700002103132700002103153700002903174700002003203700002103223700002403244700002203268700001503290700002203305700002303327700001803350700002203368700002003390700002103410700002403431700002203455700001903477700002503496700002103521700002103542700002503563700001903588700002103607700002203628700002403650700002203674700001903696700002303715700002103738700002003759700001703779700002203796700002103818700002303839700002103862700001903883700002003902700002103922700002003943710003003963710002103993710002404014856003604038 2014 eng d a1460-208300aGene-centric meta-analyses for central adiposity traits in up to 57 412 individuals of European descent confirm known loci and reveal several novel associations.0 aGenecentric metaanalyses for central adiposity traits in up to 5 c2014 May 01 a2498-5100 v233 aWaist circumference (WC) and waist-to-hip ratio (WHR) are surrogate measures of central adiposity that are associated with adverse cardiovascular events, type 2 diabetes and cancer independent of body mass index (BMI). WC and WHR are highly heritable with multiple susceptibility loci identified to date. We assessed the association between SNPs and BMI-adjusted WC and WHR and unadjusted WC in up to 57 412 individuals of European descent from 22 cohorts collaborating with the NHLBI's Candidate Gene Association Resource (CARe) project. The study population consisted of women and men aged 20-80 years. Study participants were genotyped using the ITMAT/Broad/CARE array, which includes ∼50 000 cosmopolitan tagged SNPs across ∼2100 cardiovascular-related genes. Each trait was modeled as a function of age, study site and principal components to control for population stratification, and we conducted a fixed-effects meta-analysis. No new loci for WC were observed. For WHR analyses, three novel loci were significantly associated (P < 2.4 × 10(-6)). Previously unreported rs2811337-G near TMCC1 was associated with increased WHR (β ± SE, 0.048 ± 0.008, P = 7.7 × 10(-9)) as was rs7302703-G in HOXC10 (β = 0.044 ± 0.008, P = 2.9 × 10(-7)) and rs936108-C in PEMT (β = 0.035 ± 0.007, P = 1.9 × 10(-6)). Sex-stratified analyses revealed two additional novel signals among females only, rs12076073-A in SHC1 (β = 0.10 ± 0.02, P = 1.9 × 10(-6)) and rs1037575-A in ATBDB4 (β = 0.046 ± 0.01, P = 2.2 × 10(-6)), supporting an already established sexual dimorphism of central adiposity-related genetic variants. Functional analysis using ENCODE and eQTL databases revealed that several of these loci are in regulatory regions or regions with differential expression in adipose tissue.
10aAdiposity10aAdult10aAged10aAged, 80 and over10aBody Mass Index10aEuropean Continental Ancestry Group10aFemale10aGenome-Wide Association Study10aHumans10aMale10aMiddle Aged10aWaist Circumference10aWaist-Hip Ratio10aYoung Adult1 aYoneyama, Sachiko1 aGuo, Yiran1 aLanktree, Matthew, B1 aBarnes, Michael, R1 aElbers, Clara, C1 aKarczewski, Konrad, J1 aPadmanabhan, Sandosh1 aBauer, Florianne1 aBaumert, Jens1 aBeitelshees, Amber1 aBerenson, Gerald, S1 aBoer, Jolanda, M A1 aBurke, Gregory1 aCade, Brian1 aChen, Wei1 aCooper-Dehoff, Rhonda, M1 aGaunt, Tom, R1 aGieger, Christian1 aGong, Yan1 aGorski, Mathias1 aHeard-Costa, Nancy1 aJohnson, Toby1 aLamonte, Michael, J1 aMcDonough, Caitrin1 aMonda, Keri, L1 aOnland-Moret, Charlotte, N1 aNelson, Christopher, P1 aO'Connell, Jeffrey, R1 aOrdovas, Jose1 aPeter, Inga1 aPeters, Annette1 aShaffer, Jonathan1 aShen, Haiqinq1 aSmith, Erin1 aSpeilotes, Liz1 aThomas, Fridtjof1 aThorand, Barbara1 aVerschuren, W, M Monique1 aAnand, Sonia, S1 aDominiczak, Anna1 aDavidson, Karina, W1 aHegele, Robert, A1 aHeid, Iris1 aHofker, Marten, H1 aHuggins, Gordon, S1 aIllig, Thomas1 aJohnson, Julie, A1 aKirkland, Susan1 aKönig, Wolfgang1 aLangaee, Taimour, Y1 aMcCaffery, Jeanne1 aMelander, Olle1 aMitchell, Braxton, D1 aMunroe, Patricia1 aMurray, Sarah, S1 aPapanicolaou, George1 aRedline, Susan1 aReilly, Muredach1 aSamani, Nilesh, J1 aSchork, Nicholas, J1 aSchouw, Yvonne, T1 aShimbo, Daichi1 aShuldiner, Alan, R1 aTobin, Martin, D1 aWijmenga, Cisca1 aYusuf, Salim1 aHakonarson, Hakon1 aLange, Leslie, A1 aDemerath, Ellen, W1 aFox, Caroline, S1 aNorth, Kari, E1 aReiner, Alex, P1 aKeating, Brendan1 aTaylor, Kira, C1 aLook AHEAD Research Group1 aGIANT Consortium1 aCARe IBC Consortium uhttps://chs-nhlbi.org/node/636804043nas a2200769 4500008004100000022001400041245014200055210006900197260001300266300001100279490000800290520183700298653001002135653002202145653000902167653001502176653002302191653002802214653001802242653001102260653001702271653003802288653002502326653003402351653001102385653002702396653001602423653003602439653001702475100001802492700002002510700001202530700001902542700001802561700002302579700002402602700001702626700001802643700002302661700001702684700001802701700002302719700002402742700002102766700001702787700002002804700001902824700001502843700002702858700002302885700002102908700002102929700002802950700002202978700002803000700002003028700002203048700002103070700001903091700002103110700002203131700001903153700002003172700002403192700002103216856003603237 2014 eng d a1432-120300aLarge multiethnic Candidate Gene Study for C-reactive protein levels: identification of a novel association at CD36 in African Americans.0 aLarge multiethnic Candidate Gene Study for Creactive protein lev c2014 Aug a985-950 v1333 aC-reactive protein (CRP) is a heritable biomarker of systemic inflammation and a predictor of cardiovascular disease (CVD). Large-scale genetic association studies for CRP have largely focused on individuals of European descent. We sought to uncover novel genetic variants for CRP in a multiethnic sample using the ITMAT Broad-CARe (IBC) array, a custom 50,000 SNP gene-centric array having dense coverage of over 2,000 candidate CVD genes. We performed analyses on 7,570 African Americans (AA) from the Candidate gene Association Resource (CARe) study and race-combined meta-analyses that included 29,939 additional individuals of European descent from CARe, the Women's Health Initiative (WHI) and KORA studies. We observed array-wide significance (p < 2.2 × 10(-6)) for four loci in AA, three of which have been reported previously in individuals of European descent (IL6R, p = 2.0 × 10(-6); CRP, p = 4.2 × 10(-71); APOE, p = 1.6 × 10(-6)). The fourth significant locus, CD36 (p = 1.6 × 10(-6)), was observed at a functional variant (rs3211938) that is extremely rare in individuals of European descent. We replicated the CD36 finding (p = 1.8 × 10(-5)) in an independent sample of 8,041 AA women from WHI; a meta-analysis combining the CARe and WHI AA results at rs3211938 reached genome-wide significance (p = 1.5 × 10(-10)). In the race-combined meta-analyses, 13 loci reached significance, including ten (CRP, TOMM40/APOE/APOC1, HNF1A, LEPR, GCKR, IL6R, IL1RN, NLRP3, HNF4A and BAZ1B/BCL7B) previously associated with CRP, and one (ARNTL) previously reported to be nominally associated with CRP. Two novel loci were also detected (RPS6KB1, p = 2.0 × 10(-6); CD36, p = 1.4 × 10(-6)). These results highlight both shared and unique genetic risk factors for CRP in AA compared to populations of European descent.
10aAdult10aAfrican Americans10aAged10aBiomarkers10aC-Reactive Protein10aCardiovascular Diseases10aCD36 Antigens10aFemale10aGenetic Loci10aGenetic Predisposition to Disease10aGenetics, Population10aGenome-Wide Association Study10aHumans10aMeta-Analysis as Topic10aMiddle Aged10aPolymorphism, Single Nucleotide10aRisk Factors1 aEllis, Jaclyn1 aLange, Ethan, M1 aLi, Jin1 aDupuis, Josée1 aBaumert, Jens1 aWalston, Jeremy, D1 aKeating, Brendan, J1 aDurda, Peter1 aFox, Ervin, R1 aPalmer, Cameron, D1 aMeng, Yan, A1 aYoung, Taylor1 aFarlow, Deborah, N1 aSchnabel, Renate, B1 aMarzi, Carola, S1 aLarkin, Emma1 aMartin, Lisa, W1 aBis, Joshua, C1 aAuer, Paul1 aRamachandran, Vasan, S1 aGabriel, Stacey, B1 aWillis, Monte, S1 aPankow, James, S1 aPapanicolaou, George, J1 aRotter, Jerome, I1 aBallantyne, Christie, M1 aGross, Myron, D1 aLettre, Guillaume1 aWilson, James, G1 aPeters, Ulrike1 aKoenig, Wolfgang1 aTracy, Russell, P1 aRedline, Susan1 aReiner, Alex, P1 aBenjamin, Emelia, J1 aLange, Leslie, A uhttps://chs-nhlbi.org/node/655805936nas a2201453 4500008004100000022001400041245016600055210006900221260000900290300001200299490000600311520182200317653002102139653002002160653001502180653003302195653001302228653001102241653001202252100001802264700001502282700002202297700002502319700002202344700001902366700002002385700002002405700002002425700002202445700001802467700002402485700002302509700002402532700002002556700001602576700002002592700002202612700002502634700002902659700001902688700001702707700001602724700002002740700002402760700002502784700001802809700001802827700001902845700001802864700002102882700002002903700001502923700001802938700003002956700002102986700001703007700002003024700001903044700001903063700003003082700002503112700001903137700001703156700002403173700001803197700001903215700001803234700002203252700001403274700001903288700002403307700002103331700002703352700001803379700002603397700001903423700002403442700002303466700002803489700002603517700002303543700002303566700002103589700002003610700002603630700002003656700002103676700002503697700002503722700001703747700002103764700001903785700002403804700002203828700002103850700002103871700001903892700001503911700002003926700001903946700002103965700002803986700002004014700001704034700002504051700002004076700002304096700001904119700001904138700002004157700002104177700001904198700001904217700002004236700001904256700001804275700002504293700003204318700003004350700002304380700002004403700002304423856003604446 2014 eng d a1932-620300aNo evidence for genome-wide interactions on plasma fibrinogen by smoking, alcohol consumption and body mass index: results from meta-analyses of 80,607 subjects.0 aNo evidence for genomewide interactions on plasma fibrinogen by c2014 ae1111560 v93 aPlasma fibrinogen is an acute phase protein playing an important role in the blood coagulation cascade having strong associations with smoking, alcohol consumption and body mass index (BMI). Genome-wide association studies (GWAS) have identified a variety of gene regions associated with elevated plasma fibrinogen concentrations. However, little is yet known about how associations between environmental factors and fibrinogen might be modified by genetic variation. Therefore, we conducted large-scale meta-analyses of genome-wide interaction studies to identify possible interactions of genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentration. The present study included 80,607 subjects of European ancestry from 22 studies. Genome-wide interaction analyses were performed separately in each study for about 2.6 million single nucleotide polymorphisms (SNPs) across the 22 autosomal chromosomes. For each SNP and risk factor, we performed a linear regression under an additive genetic model including an interaction term between SNP and risk factor. Interaction estimates were meta-analysed using a fixed-effects model. No genome-wide significant interaction with smoking status, alcohol consumption or BMI was observed in the meta-analyses. The most suggestive interaction was found for smoking and rs10519203, located in the LOC123688 region on chromosome 15, with a p value of 6.2 × 10(-8). This large genome-wide interaction study including 80,607 participants found no strong evidence of interaction between genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentrations. Further studies are needed to yield deeper insight in the interplay between environmental factors and gene variants on the regulation of fibrinogen concentrations.
10aAlcohol Drinking10aBody Mass Index10aFibrinogen10aGene-Environment Interaction10aGenomics10aHumans10aSmoking1 aBaumert, Jens1 aHuang, Jie1 aMcKnight, Barbara1 aSabater-Lleal, Maria1 aSteri, Maristella1 aChu, Audrey, Y1 aTrompet, Stella1 aLopez, Lorna, M1 aFornage, Myriam1 aTeumer, Alexander1 aTang, Weihong1 aRudnicka, Alicja, R1 aMälarstig, Anders1 aHottenga, Jouke-Jan1 aKavousi, Maryam1 aLahti, Jari1 aTanaka, Toshiko1 aHayward, Caroline1 aHuffman, Jennifer, E1 aMorange, Pierre-Emmanuel1 aRose, Lynda, M1 aBasu, Saonli1 aRumley, Ann1 aStott, David, J1 aBuckley, Brendan, M1 ade Craen, Anton, J M1 aSanna, Serena1 aMasala, Marco1 aBiffar, Reiner1 aHomuth, Georg1 aSilveira, Angela1 aSennblad, Bengt1 aGoel, Anuj1 aWatkins, Hugh1 aMüller-Nurasyid, Martina1 aRückerl, Regina1 aTaylor, Kent1 aChen, Ming-Huei1 aGeus, Eco, J C1 aHofman, Albert1 aWitteman, Jacqueline, C M1 ade Maat, Moniek, P M1 aPalotie, Aarno1 aDavies, Gail1 aSiscovick, David, S1 aKolcic, Ivana1 aWild, Sarah, H1 aSong, Jaejoon1 aMcArdle, Wendy, L1 aFord, Ian1 aSattar, Naveed1 aSchlessinger, David1 aGrotevendt, Anne1 aFranzosi, Maria Grazia1 aIllig, Thomas1 aWaldenberger, Melanie1 aLumley, Thomas1 aTofler, Geoffrey, H1 aWillemsen, Gonneke1 aUitterlinden, André, G1 aRivadeneira, Fernando1 aRäikkönen, Katri1 aChasman, Daniel, I1 aFolsom, Aaron, R1 aLowe, Gordon, D1 aWestendorp, Rudi, G J1 aSlagboom, Eline1 aCucca, Francesco1 aWallaschofski, Henri1 aStrawbridge, Rona, J1 aSeedorf, Udo1 aKoenig, Wolfgang1 aBis, Joshua, C1 aMukamal, Kenneth, J1 avan Dongen, Jenny1 aWiden, Elisabeth1 aFranco, Oscar, H1 aStarr, John, M1 aLiu, Kiang1 aFerrucci, Luigi1 aPolasek, Ozren1 aWilson, James, F1 aOudot-Mellakh, Tiphaine1 aCampbell, Harry1 aNavarro, Pau1 aBandinelli, Stefania1 aEriksson, Johan1 aBoomsma, Dorret, I1 aDehghan, Abbas1 aClarke, Robert1 aHamsten, Anders1 aBoerwinkle, Eric1 aJukema, Wouter1 aNaitza, Silvia1 aRidker, Paul, M1 aVölzke, Henry1 aDeary, Ian, J1 aReiner, Alexander, P1 aTrégouët, David-Alexandre1 aO'Donnell, Christopher, J1 aStrachan, David, P1 aPeters, Annette1 aSmith, Nicholas, L uhttps://chs-nhlbi.org/node/666705080nas a2201129 4500008004100000022001400041245007200055210006900127260001600196300001100212490000700223520191200230653002502142653002102167653002802188653001102216653001902227653001302246653002602259653001102285653000902296653003702305653001602342653003602358653002002394653001802414100002302432700002702455700001902482700001902501700002502520700002702545700002202572700002502594700001702619700002402636700002302660700002602683700002802709700001602737700002102753700001502774700002002789700002802809700001502837700002102852700001802873700002102891700002602912700002602938700002202964700001902986700002103005700002203026700001803048700002003066700002103086700001903107700002403126700002103150700002603171700002203197700002403219700002103243700002203264700001903286700002403305700002003329700002103349700001803370700001803388700001803406700002003424700002103444700002103465700001803486700002403504700001903528700001803547700002003565700002103585700002103606700002503627700002103652700002503673700002003698700002403718700001903742700002203761700002103783700002203804700002403826700002403850700001903874710002103893856003603914 2015 eng d a1522-964500aMendelian randomization of blood lipids for coronary heart disease.0 aMendelian randomization of blood lipids for coronary heart disea c2015 Mar 01 a539-500 v363 aAIMS: To investigate the causal role of high-density lipoprotein cholesterol (HDL-C) and triglycerides in coronary heart disease (CHD) using multiple instrumental variables for Mendelian randomization.
METHODS AND RESULTS: We developed weighted allele scores based on single nucleotide polymorphisms (SNPs) with established associations with HDL-C, triglycerides, and low-density lipoprotein cholesterol (LDL-C). For each trait, we constructed two scores. The first was unrestricted, including all independent SNPs associated with the lipid trait identified from a prior meta-analysis (threshold P < 2 × 10(-6)); and the second a restricted score, filtered to remove any SNPs also associated with either of the other two lipid traits at P ≤ 0.01. Mendelian randomization meta-analyses were conducted in 17 studies including 62,199 participants and 12,099 CHD events. Both the unrestricted and restricted allele scores for LDL-C (42 and 19 SNPs, respectively) associated with CHD. For HDL-C, the unrestricted allele score (48 SNPs) was associated with CHD (OR: 0.53; 95% CI: 0.40, 0.70), per 1 mmol/L higher HDL-C, but neither the restricted allele score (19 SNPs; OR: 0.91; 95% CI: 0.42, 1.98) nor the unrestricted HDL-C allele score adjusted for triglycerides, LDL-C, or statin use (OR: 0.81; 95% CI: 0.44, 1.46) showed a robust association. For triglycerides, the unrestricted allele score (67 SNPs) and the restricted allele score (27 SNPs) were both associated with CHD (OR: 1.62; 95% CI: 1.24, 2.11 and 1.61; 95% CI: 1.00, 2.59, respectively) per 1-log unit increment. However, the unrestricted triglyceride score adjusted for HDL-C, LDL-C, and statin use gave an OR for CHD of 1.01 (95% CI: 0.59, 1.75).
CONCLUSION: The genetic findings support a causal effect of triglycerides on CHD risk, but a causal role for HDL-C, though possible, remains less certain.
10aCase-Control Studies10aCholesterol, HDL10aCoronary Artery Disease10aFemale10aGene Frequency10aGenotype10aGenotyping Techniques10aHumans10aMale10aMendelian Randomization Analysis10aMiddle Aged10aPolymorphism, Single Nucleotide10aRisk Assessment10aTriglycerides1 aHolmes, Michael, V1 aAsselbergs, Folkert, W1 aPalmer, Tom, M1 aDrenos, Fotios1 aLanktree, Matthew, B1 aNelson, Christopher, P1 aDale, Caroline, E1 aPadmanabhan, Sandosh1 aFinan, Chris1 aSwerdlow, Daniel, I1 aTragante, Vinicius1 avan Iperen, Erik, P A1 aSivapalaratnam, Suthesh1 aShah, Sonia1 aElbers, Clara, C1 aShah, Tina1 aEngmann, Jorgen1 aGiambartolomei, Claudia1 aWhite, Jon1 aZabaneh, Delilah1 aSofat, Reecha1 aMcLachlan, Stela1 aDoevendans, Pieter, A1 aBalmforth, Anthony, J1 aHall, Alistair, S1 aNorth, Kari, E1 aAlmoguera, Berta1 aHoogeveen, Ron, C1 aCushman, Mary1 aFornage, Myriam1 aPatel, Sanjay, R1 aRedline, Susan1 aSiscovick, David, S1 aTsai, Michael, Y1 aKarczewski, Konrad, J1 aHofker, Marten, H1 aVerschuren, Monique1 aBots, Michiel, L1 aSchouw, Yvonne, T1 aMelander, Olle1 aDominiczak, Anna, F1 aMorris, Richard1 aBen-Shlomo, Yoav1 aPrice, Jackie1 aKumari, Meena1 aBaumert, Jens1 aPeters, Annette1 aThorand, Barbara1 aKoenig, Wolfgang1 aGaunt, Tom, R1 aHumphries, Steve, E1 aClarke, Robert1 aWatkins, Hugh1 aFarrall, Martin1 aWilson, James, G1 aRich, Stephen, S1 ade Bakker, Paul, I W1 aLange, Leslie, A1 aSmith, George, Davey1 aReiner, Alex, P1 aTalmud, Philippa, J1 aKivimaki, Mika1 aLawlor, Debbie, A1 aDudbridge, Frank1 aSamani, Nilesh, J1 aKeating, Brendan, J1 aHingorani, Aroon, D1 aCasas, Juan, P1 aUCLEB consortium uhttps://chs-nhlbi.org/node/656803683nas a2200757 4500008004100000022001400041245011200055210006900167260000900236300000700245490000700252520150800259100002401767700002201791700002101813700001601834700001601850700002701866700002501893700002101918700002201939700001601961700001901977700001701996700002402013700001802037700002302055700001802078700002802096700002302124700002602147700002002173700002202193700002302215700002002238700002302258700002302281700002002304700003102324700001802355700001802373700002702391700002002418700002402438700001802462700002202480700002202502700001802524700002102542700002102563700002002584700001902604700002802623700002002651700002402671700002202695700002102717700001902738700001802757700002002775700001902795700002702814700002402841700002402865856003602889 2017 eng d a1756-038100aDiscovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals.0 aDiscovery and replication of SNPSNP interactions for quantitativ c2017 a250 v103 aBACKGROUND: The genetic etiology of human lipid quantitative traits is not fully elucidated, and interactions between variants may play a role. We performed a gene-centric interaction study for four different lipid traits: low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), and triglycerides (TG).
RESULTS: Our analysis consisted of a discovery phase using a merged dataset of five different cohorts (n = 12,853 to n = 16,849 depending on lipid phenotype) and a replication phase with ten independent cohorts totaling up to 36,938 additional samples. Filters are often applied before interaction testing to correct for the burden of testing all pairwise interactions. We used two different filters: 1. A filter that tested only single nucleotide polymorphisms (SNPs) with a main effect of p < 0.001 in a previous association study. 2. A filter that only tested interactions identified by Biofilter 2.0. Pairwise models that reached an interaction significance level of p < 0.001 in the discovery dataset were tested for replication. We identified thirteen SNP-SNP models that were significant in more than one replication cohort after accounting for multiple testing.
CONCLUSIONS: These results may reveal novel insights into the genetic etiology of lipid levels. Furthermore, we developed a pipeline to perform a computationally efficient interaction analysis with multi-cohort replication.
1 aHolzinger, Emily, R1 aVerma, Shefali, S1 aMoore, Carrie, B1 aHall, Molly1 aDe, Rishika1 aGilbert-Diamond, Diane1 aLanktree, Matthew, B1 aPankratz, Nathan1 aAmuzu, Antoinette1 aBurt, Amber1 aDale, Caroline1 aDudek, Scott1 aFurlong, Clement, E1 aGaunt, Tom, R1 aKim, Daniel, Seung1 aRiess, Helene1 aSivapalaratnam, Suthesh1 aTragante, Vinicius1 avan Iperen, Erik, P A1 aBrautbar, Ariel1 aCarrell, David, S1 aCrosslin, David, R1 aJarvik, Gail, P1 aKuivaniemi, Helena1 aKullo, Iftikhar, J1 aLarson, Eric, B1 aRasmussen-Torvik, Laura, J1 aTromp, Gerard1 aBaumert, Jens1 aCruickshanks, Karen, J1 aFarrall, Martin1 aHingorani, Aroon, D1 aHovingh, G, K1 aKleber, Marcus, E1 aKlein, Barbara, E1 aKlein, Ronald1 aKoenig, Wolfgang1 aLange, Leslie, A1 aMӓrz, Winfried1 aNorth, Kari, E1 aOnland-Moret, Charlotte1 aReiner, Alex, P1 aTalmud, Philippa, J1 aSchouw, Yvonne, T1 aWilson, James, G1 aKivimaki, Mika1 aKumari, Meena1 aMoore, Jason, H1 aDrenos, Fotios1 aAsselbergs, Folkert, W1 aKeating, Brendan, J1 aRitchie, Marylyn, D uhttps://chs-nhlbi.org/node/7566