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/115305728nas a2201213 4500008004100000022001400041245013400055210006900189260001600258300001100274490000800285520227000293653001002563653000902573653002202582653001002604653002802614653002102642653004002663653001102703653003402714653001302748653001602761653002102777653001102798653000902809653001602818653001502834653001402849653003602863653001702899653003402916653003102950100002702981700002203008700002103030700001903051700002103070700002203091700002303113700002203136700002303158700001903181700002303200700002003223700002203243700002203265700002203287700001903309700002403328700002003352700001803372700001803390700002303408700002103431700001903452700002603471700002203497700002403519700001803543700002003561700001503581700002703596700002703623700001703650700002303667700002103690700001803711700002103729700001703750700002003767700002003787700002303807700003003830700002303860700002303883700002103906700002503927700002603952700001703978700002203995700001804017700002104035700001904056700002404075700002804099700002204127700002004149700002004169700002004189700002004209700002304229700002204252700002204274700002104296700002404317700002204341700002804363700002404391700002004415700001904435700002404454856003604478 2009 eng d a1538-359800aGenetic variants associated with cardiac structure and function: a meta-analysis and replication of genome-wide association data.0 aGenetic variants associated with cardiac structure and function c2009 Jul 08 a168-780 v3023 aCONTEXT: Echocardiographic measures of left ventricular (LV) structure and function are heritable phenotypes of cardiovascular disease.
OBJECTIVE: To identify common genetic variants associated with cardiac structure and function by conducting a meta-analysis of genome-wide association data in 5 population-based cohort studies (stage 1) with replication (stage 2) in 2 other community-based samples.
DESIGN, SETTING, AND PARTICIPANTS: Within each of 5 community-based cohorts comprising the EchoGen consortium (stage 1; n = 12 612 individuals of European ancestry; 55% women, aged 26-95 years; examinations between 1978-2008), we estimated the association between approximately 2.5 million single-nucleotide polymorphisms (SNPs; imputed to the HapMap CEU panel) and echocardiographic traits. In stage 2, SNPs significantly associated with traits in stage 1 were tested for association in 2 other cohorts (n = 4094 people of European ancestry). Using a prespecified P value threshold of 5 x 10(-7) to indicate genome-wide significance, we performed an inverse variance-weighted fixed-effects meta-analysis of genome-wide association data from each cohort.
MAIN OUTCOME MEASURES: Echocardiographic traits: LV mass, internal dimensions, wall thickness, systolic dysfunction, aortic root, and left atrial size.
RESULTS: In stage 1, 16 genetic loci were associated with 5 echocardiographic traits: 1 each with LV internal dimensions and systolic dysfunction, 3 each with LV mass and wall thickness, and 8 with aortic root size. In stage 2, 5 loci replicated (6q22 locus associated with LV diastolic dimensions, explaining <1% of trait variance; 5q23, 12p12, 12q14, and 17p13 associated with aortic root size, explaining 1%-3% of trait variance).
CONCLUSIONS: We identified 5 genetic loci harboring common variants that were associated with variation in LV diastolic dimensions and aortic root size, but such findings explained a very small proportion of variance. Further studies are required to replicate these findings, identify the causal variants at or near these loci, characterize their functional significance, and determine whether they are related to overt cardiovascular disease.
10aAdult10aAged10aAged, 80 and over10aAorta10aCardiovascular Diseases10aEchocardiography10aEuropean Continental Ancestry Group10aFemale10aGenome-Wide Association Study10aGenotype10aHeart Atria10aHeart Ventricles10aHumans10aMale10aMiddle Aged10aOrgan Size10aPhenotype10aPolymorphism, Single Nucleotide10aRisk Factors10aVentricular Dysfunction, Left10aVentricular Function, Left1 aVasan, Ramachandran, S1 aGlazer, Nicole, L1 aFelix, Janine, F1 aLieb, Wolfgang1 aWild, Philipp, S1 aFelix, Stephan, B1 aWatzinger, Norbert1 aLarson, Martin, G1 aSmith, Nicholas, L1 aDehghan, Abbas1 aGrosshennig, Anika1 aSchillert, Arne1 aTeumer, Alexander1 aSchmidt, Reinhold1 aKathiresan, Sekar1 aLumley, Thomas1 aAulchenko, Yurii, S1 aKönig, Inke, R1 aZeller, Tanja1 aHomuth, Georg1 aStruchalin, Maksim1 aAragam, Jayashri1 aBis, Joshua, C1 aRivadeneira, Fernando1 aErdmann, Jeanette1 aSchnabel, Renate, B1 aDörr, Marcus1 aZweiker, Robert1 aLind, Lars1 aRodeheffer, Richard, J1 aGreiser, Karin, Halina1 aLevy, Daniel1 aHaritunians, Talin1 aDeckers, Jaap, W1 aStritzke, Jan1 aLackner, Karl, J1 aVölker, Uwe1 aIngelsson, Erik1 aKullo, Iftikhar1 aHaerting, Johannes1 aO'Donnell, Christopher, J1 aHeckbert, Susan, R1 aStricker, Bruno, H1 aZiegler, Andreas1 aReffelmann, Thorsten1 aRedfield, Margaret, M1 aWerdan, Karl1 aMitchell, Gary, F1 aRice, Kenneth1 aArnett, Donna, K1 aHofman, Albert1 aGottdiener, John, S1 aUitterlinden, André, G1 aMeitinger, Thomas1 aBlettner, Maria1 aFriedrich, Nele1 aWang, Thomas, J1 aPsaty, Bruce, M1 aDuijn, Cornelia, M1 aWichmann, H-Erich1 aMunzel, Thomas, F1 aKroemer, Heyo, K1 aBenjamin, Emelia, J1 aRotter, Jerome, I1 aWitteman, Jacqueline, C1 aSchunkert, Heribert1 aSchmidt, Helena1 aVölzke, Henry1 aBlankenberg, Stefan uhttps://chs-nhlbi.org/node/110803588nas a2200877 4500008004100000022001400041245007000055210006800125260001300193300001100206490000700217520113400224653001901358653001401377653002301391653002301414653001301437653003101450653003201481653003401513653001101547653001701558653001001575653001601585653002701601653001501628653001401643653001501657653002001672653001201692100001701704700002001721700001801741700002601759700002201785700001901807700002201826700002401848700002301872700001901895700002101914700001901935700001901954700002701973700002602000700002402026700001702050700001902067700002202086700003302108700002102141700001702162700002302179700002002202700002502222700001602247700002202263700002202285700003002307700001902337700002202356700001802378700002402396700002802420700001902448700002102467700003002488700002102518700002002539700002402559700002202583700002602605700002002631700002302651856003602674 2009 eng d a1546-171800aGenome-wide association study of blood pressure and hypertension.0 aGenomewide association study of blood pressure and hypertension c2009 Jun a677-870 v413 aBlood pressure is a major cardiovascular disease risk factor. To date, few variants associated with interindividual blood pressure variation have been identified and replicated. Here we report results of a genome-wide association study of systolic (SBP) and diastolic (DBP) blood pressure and hypertension in the CHARGE Consortium (n = 29,136), identifying 13 SNPs for SBP, 20 for DBP and 10 for hypertension at P < 4 × 10(-7). The top ten loci for SBP and DBP were incorporated into a risk score; mean BP and prevalence of hypertension increased in relation to the number of risk alleles carried. When ten CHARGE SNPs for each trait were included in a joint meta-analysis with the Global BPgen Consortium (n = 34,433), four CHARGE loci attained genome-wide significance (P < 5 × 10(-8)) for SBP (ATP2B1, CYP17A1, PLEKHA7, SH2B3), six for DBP (ATP2B1, CACNB2, CSK-ULK3, SH2B3, TBX3-TBX5, ULK4) and one for hypertension (ATP2B1). Identifying genes associated with blood pressure advances our understanding of blood pressure regulation and highlights potential drug targets for the prevention or treatment of hypertension.
10aBlood Pressure10aCell Line10aChromosome Mapping10aChromosomes, Human10aDiastole10aGene Expression Regulation10aGenetic Association Studies10aGenome-Wide Association Study10aHumans10aHypertension10aLiver10aLymphocytes10aMeta-Analysis as Topic10aOdds Ratio10aPhenotype10aPrevalence10aRisk Assessment10aSystole1 aLevy, Daniel1 aEhret, Georg, B1 aRice, Kenneth1 aVerwoert, Germaine, C1 aLauner, Lenore, J1 aDehghan, Abbas1 aGlazer, Nicole, L1 aMorrison, Alanna, C1 aJohnson, Andrew, D1 aAspelund, Thor1 aAulchenko, Yurii1 aLumley, Thomas1 aKöttgen, Anna1 aVasan, Ramachandran, S1 aRivadeneira, Fernando1 aEiriksdottir, Gudny1 aGuo, Xiuqing1 aArking, Dan, E1 aMitchell, Gary, F1 aMattace-Raso, Francesco, U S1 aSmith, Albert, V1 aTaylor, Kent1 aScharpf, Robert, B1 aHwang, Shih-Jen1 aSijbrands, Eric, J G1 aBis, Joshua1 aHarris, Tamara, B1 aGanesh, Santhi, K1 aO'Donnell, Christopher, J1 aHofman, Albert1 aRotter, Jerome, I1 aCoresh, Josef1 aBenjamin, Emelia, J1 aUitterlinden, André, G1 aHeiss, Gerardo1 aFox, Caroline, S1 aWitteman, Jacqueline, C M1 aBoerwinkle, Eric1 aWang, Thomas, J1 aGudnason, Vilmundur1 aLarson, Martin, G1 aChakravarti, Aravinda1 aPsaty, Bruce, M1 aDuijn, Cornelia, M uhttps://chs-nhlbi.org/node/109803209nas a2200769 4500008004100000022001400041245008800055210006900143260001300212300001000225490000700235520104200242653002301284653001901307653002201326653003401348653003101382653001101413653001101424653002801435653002701463653001701490653001601507653003601523653001501559653001501574100001901589700002201608700001901630700002001649700001601669700001201685700001601697700002401713700002201737700002201759700002101781700001901802700001901821700002101840700002001861700002001881700002301901700002201924700002001946700002301966700001901989700001702008700002102025700002402046700001702070700002102087700002402108700001902132700002602151700002802177700002302205700002302228700002102251700002002272700002002292700002802312700001802340700002402358700002102382856003602403 2009 eng d a1546-171800aMultiple loci associated with indices of renal function and chronic kidney disease.0 aMultiple loci associated with indices of renal function and chro c2009 Jun a712-70 v413 aChronic kidney disease (CKD) has a heritable component and is an important global public health problem because of its high prevalence and morbidity. We conducted genome-wide association studies (GWAS) to identify susceptibility loci for glomerular filtration rate, estimated by serum creatinine (eGFRcrea) and cystatin C (eGFRcys), and CKD (eGFRcrea < 60 ml/min/1.73 m(2)) in European-ancestry participants of four population-based cohorts (ARIC, CHS, FHS, RS; n = 19,877; 2,388 CKD cases), and tested for replication in 21,466 participants (1,932 CKD cases). We identified significant SNP associations (P < 5 × 10(-8)) with CKD at the UMOD locus, with eGFRcrea at UMOD, SHROOM3 and GATM-SPATA5L1, and with eGFRcys at CST and STC1. UMOD encodes the most common protein in human urine, Tamm-Horsfall protein, and rare mutations in UMOD cause mendelian forms of kidney disease. Our findings provide new insights into CKD pathogenesis and underscore the importance of common genetic variants influencing renal function and disease.
10aChromosome Mapping10aCohort Studies10aGenetic Variation10aGenome-Wide Association Study10aGlomerular Filtration Rate10aHumans10aKidney10aKidney Failure, Chronic10aMeta-Analysis as Topic10aMucoproteins10aNetherlands10aPolymorphism, Single Nucleotide10aPrevalence10aUromodulin1 aKöttgen, Anna1 aGlazer, Nicole, L1 aDehghan, Abbas1 aHwang, Shih-Jen1 aKatz, Ronit1 aLi, Man1 aYang, Qiong1 aGudnason, Vilmundur1 aLauner, Lenore, J1 aHarris, Tamara, B1 aSmith, Albert, V1 aArking, Dan, E1 aAstor, Brad, C1 aBoerwinkle, Eric1 aEhret, Georg, B1 aRuczinski, Ingo1 aScharpf, Robert, B1 aChen, Yii-Der Ida1 ade Boer, Ian, H1 aHaritunians, Talin1 aLumley, Thomas1 aSarnak, Mark1 aSiscovick, David1 aBenjamin, Emelia, J1 aLevy, Daniel1 aUpadhyay, Ashish1 aAulchenko, Yurii, S1 aHofman, Albert1 aRivadeneira, Fernando1 aUitterlinden, André, G1 aDuijn, Cornelia, M1 aChasman, Daniel, I1 aParé, Guillaume1 aRidker, Paul, M1 aKao, Linda, W H1 aWitteman, Jacqueline, C1 aCoresh, Josef1 aShlipak, Michael, G1 aFox, Caroline, S uhttps://chs-nhlbi.org/node/109904054nas a2201033 4500008004100000022001400041245007700055210006900132260001300201300001100214490000700225520114900232653001901381653001401400653001901414653002201433653001701455653002001472653001801492653003401510653001101544653001701555653001401572653003601586653002801622100002201650700001901672700002601691700002001717700002101737700002201758700002001780700001901800700002201819700001901841700002101860700001901881700001601900700002001916700001801936700002101954700002601975700002202001700002102023700002202044700002002066700001802086700002102104700002002125700002402145700001702169700002202186700002102208700002202229700001902251700002602270700002302296700001602319700002502335700002502360700001802385700001902403700002802422700002302450700002202473700002502495700001902520700002302539700002402562700002002586700002302606700002002629700002002649700002002669700002202689700002402711700002302735700002002758700002002778700002602798700002402824700003002848700003002878700001702908700001802925700002202943700001902965856003602984 2009 eng d a1546-171800aMultiple loci influence erythrocyte phenotypes in the CHARGE Consortium.0 aMultiple loci influence erythrocyte phenotypes in the CHARGE Con c2009 Nov a1191-80 v413 aMeasurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 x 10(-8) to 7 x 10(-86)). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures.
10aBlood Pressure10aCell Line10aCohort Studies10aEndothelial Cells10aErythrocytes10aGene Expression10aGenome, Human10aGenome-Wide Association Study10aHumans10aHypertension10aPhenotype10aPolymorphism, Single Nucleotide10aQuantitative Trait Loci1 aGanesh, Santhi, K1 aZakai, Neil, A1 avan Rooij, Frank, J A1 aSoranzo, Nicole1 aSmith, Albert, V1 aNalls, Michael, A1 aChen, Ming-Huei1 aKöttgen, Anna1 aGlazer, Nicole, L1 aDehghan, Abbas1 aKuhnel, Brigitte1 aAspelund, Thor1 aYang, Qiong1 aTanaka, Toshiko1 aJaffe, Andrew1 aBis, Joshua, C M1 aVerwoert, Germaine, C1 aTeumer, Alexander1 aFox, Caroline, S1 aGuralnik, Jack, M1 aEhret, Georg, B1 aRice, Kenneth1 aFelix, Janine, F1 aRendon, Augusto1 aEiriksdottir, Gudny1 aLevy, Daniel1 aPatel, Kushang, V1 aBoerwinkle, Eric1 aRotter, Jerome, I1 aHofman, Albert1 aSambrook, Jennifer, G1 aHernandez, Dena, G1 aZheng, Gang1 aBandinelli, Stefania1 aSingleton, Andrew, B1 aCoresh, Josef1 aLumley, Thomas1 aUitterlinden, André, G1 aVangils, Janine, M1 aLauner, Lenore, J1 aCupples, Adrienne, L1 aOostra, Ben, A1 aZwaginga, Jaap-Jan1 aOuwehand, Willem, H1 aThein, Swee-Lay1 aMeisinger, Christa1 aDeloukas, Panos1 aNauck, Matthias1 aSpector, Tim, D1 aGieger, Christian1 aGudnason, Vilmundur1 aDuijn, Cornelia, M1 aPsaty, Bruce, M1 aFerrucci, Luigi1 aChakravarti, Aravinda1 aGreinacher, Andreas1 aO'Donnell, Christopher, J1 aWitteman, Jacqueline, C M1 aFurth, Susan1 aCushman, Mary1 aHarris, Tamara, B1 aLin, Jing-Ping uhttps://chs-nhlbi.org/node/114103278nas a2200937 4500008004100000022001400041245009900055210006900154260001300223300001100236490000700247520051100254653002400765653003200789653004000821653003800861653003400899653002500933653001100958653002700969653001300996653003601009653003101045100002401076700002101100700001901121700001801140700002501158700002101183700002401204700001901228700002101247700002201268700001901290700002201309700002501331700001901356700002001375700001801395700001901413700002901432700002201461700002601483700002401509700002601533700002001559700002401579700001701603700002001620700001201640700002701652700001901679700002701698700002201725700002201747700002001769700002201789700002601811700001301837700002201850700002301872700002601895700002801921700002001949700002201969700001901991700002302010700002202033700002102055700002002076700002302096700002202119700002402141700002302165700002402188700001902212700001902231700002402250700003002274856003602304 2009 eng d a1546-171800aVariants in ZFHX3 are associated with atrial fibrillation in individuals of European ancestry.0 aVariants in ZFHX3 are associated with atrial fibrillation in ind c2009 Aug a879-810 v413 aWe conducted meta-analyses of genome-wide association studies for atrial fibrillation (AF) in participants from five community-based cohorts. Meta-analyses of 896 prevalent (15,768 referents) and 2,517 incident (21,337 referents) AF cases identified a new locus for AF (ZFHX3, rs2106261, risk ratio RR = 1.19; P = 2.3 x 10(-7)). We replicated this association in an independent cohort from the German AF Network (odds ratio = 1.44; P = 1.6 x 10(-11); combined RR = 1.25; combined P = 1.8 x 10(-15)).
10aAtrial Fibrillation10aChromosomes, Human, Pair 1610aEuropean Continental Ancestry Group10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aHomeodomain Proteins10aHumans10aMeta-Analysis as Topic10aMutation10aPolymorphism, Single Nucleotide10aReproducibility of Results1 aBenjamin, Emelia, J1 aRice, Kenneth, M1 aArking, Dan, E1 aPfeufer, Arne1 avan Noord, Charlotte1 aSmith, Albert, V1 aSchnabel, Renate, B1 aBis, Joshua, C1 aBoerwinkle, Eric1 aSinner, Moritz, F1 aDehghan, Abbas1 aLubitz, Steven, A1 aD'Agostino, Ralph, B1 aLumley, Thomas1 aEhret, Georg, B1 aHeeringa, Jan1 aAspelund, Thor1 aNewton-Cheh, Christopher1 aLarson, Martin, G1 aMarciante, Kristin, D1 aSoliman, Elsayed, Z1 aRivadeneira, Fernando1 aWang, Thomas, J1 aEiriksdottir, Gudny1 aLevy, Daniel1 aPsaty, Bruce, M1 aLi, Man1 aChamberlain, Alanna, M1 aHofman, Albert1 aVasan, Ramachandran, S1 aHarris, Tamara, B1 aRotter, Jerome, I1 aKao, Linda, W H1 aAgarwal, Sunil, K1 aStricker, Bruno, H Ch1 aWang, Ke1 aLauner, Lenore, J1 aSmith, Nicholas, L1 aChakravarti, Aravinda1 aUitterlinden, André, G1 aWolf, Philip, A1 aSotoodehnia, Nona1 aKöttgen, Anna1 aDuijn, Cornelia, M1 aMeitinger, Thomas1 aMueller, Martina1 aPerz, Siegfried1 aSteinbeck, Gerhard1 aWichmann, H-Erich1 aLunetta, Kathryn, L1 aHeckbert, Susan, R1 aGudnason, Vilmundur1 aAlonso, Alvaro1 aKääb, Stefan1 aEllinor, Patrick, T1 aWitteman, Jacqueline, C M uhttps://chs-nhlbi.org/node/111404239nas a2200781 4500008004100000022001400041245024400055210006900299260001300368300001100381490000600392520185900398653002202257653000902279653002202288653001902310653001902329653004002348653001102388653003402399653001802433653001102451653001402462653000902476653001602485653003602501653000902537653003302546100002302579700002102602700002402623700002302647700002202670700002002692700002502712700001902737700001902756700002302775700001902798700002602817700001902843700002102862700002102883700002402904700002302928700001802951700002102969700001802990700002303008700002403031700002303055700002003078700002103098700001903119700002303138700001803161700003003179700002803209700002203237700002403259700001703283700002303300700002003323700003003343700002103373700002703394856003603421 2010 eng d a1942-326800aAssociation of genome-wide variation with the risk of incident heart failure in adults of European and African ancestry: a prospective meta-analysis from the cohorts for heart and aging research in genomic epidemiology (CHARGE) consortium.0 aAssociation of genomewide variation with the risk of incident he c2010 Jun a256-660 v33 aBACKGROUND: Although genetic factors contribute to the onset of heart failure (HF), no large-scale genome-wide investigation of HF risk has been published to date. We have investigated the association of 2,478,304 single-nucleotide polymorphisms with incident HF by meta-analyzing data from 4 community-based prospective cohorts: the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study.
METHODS AND RESULTS: Eligible participants for these analyses were of European or African ancestry and free of clinical HF at baseline. Each study independently conducted genome-wide scans and imputed data to the approximately 2.5 million single-nucleotide polymorphisms in HapMap. Within each study, Cox proportional hazards regression models provided age- and sex-adjusted estimates of the association between each variant and time to incident HF. Fixed-effect meta-analyses combined results for each single-nucleotide polymorphism from the 4 cohorts to produce an overall association estimate and P value. A genome-wide significance P value threshold was set a priori at 5.0x10(-7). During a mean follow-up of 11.5 years, 2526 incident HF events (12%) occurred in 20 926 European-ancestry participants. The meta-analysis identified a genome-wide significant locus at chromosomal position 15q22 (1.4x10(-8)), which was 58.8 kb from USP3. Among 2895 African-ancestry participants, 466 incident HF events (16%) occurred during a mean follow-up of 13.7 years. One genome-wide significant locus was identified at 12q14 (6.7x10(-8)), which was 6.3 kb from LRIG3.
CONCLUSIONS: We identified 2 loci that were associated with incident HF and exceeded genome-wide significance. The findings merit replication in other community-based settings of incident HF.
10aAfrican Americans10aAged10aAged, 80 and over10aCohort Studies10aEndopeptidases10aEuropean Continental Ancestry Group10aFemale10aGenome-Wide Association Study10aHeart Failure10aHumans10aIncidence10aMale10aMiddle Aged10aPolymorphism, Single Nucleotide10aRisk10aUbiquitin-Specific Proteases1 aSmith, Nicholas, L1 aFelix, Janine, F1 aMorrison, Alanna, C1 aDemissie, Serkalem1 aGlazer, Nicole, L1 aLoehr, Laura, R1 aCupples, Adrienne, L1 aDehghan, Abbas1 aLumley, Thomas1 aRosamond, Wayne, D1 aLieb, Wolfgang1 aRivadeneira, Fernando1 aBis, Joshua, C1 aFolsom, Aaron, R1 aBenjamin, Emelia1 aAulchenko, Yurii, S1 aHaritunians, Talin1 aCouper, David1 aMurabito, Joanne1 aWang, Ying, A1 aStricker, Bruno, H1 aGottdiener, John, S1 aChang, Patricia, P1 aWang, Thomas, J1 aRice, Kenneth, M1 aHofman, Albert1 aHeckbert, Susan, R1 aFox, Ervin, R1 aO'Donnell, Christopher, J1 aUitterlinden, André, G1 aRotter, Jerome, I1 aWillerson, James, T1 aLevy, Daniel1 aDuijn, Cornelia, M1 aPsaty, Bruce, M1 aWitteman, Jacqueline, C M1 aBoerwinkle, Eric1 aVasan, Ramachandran, S uhttps://chs-nhlbi.org/node/119704123nas a2200817 4500008004100000022001400041245007500055210006900130260001300199300001200212490000700224520182200231653001002053653000902063653004002072653001102112653003002123653001902153653001702172653002202189653003402211653001102245653001102256653000902267653001602276653001502292653003602307653003102343653001602374653005402390100002202444700002202466700001902488700002102507700002002528700001702548700001702565700002802582700002402610700002602634700002202660700002002682700002202702700001802724700002302742700002002765700002202785700001602807700002002823700002002843700002102863700002202884700001202906700001902918700002102937700001802958700001602976700001702992700002603009700001903035700002603054700002803080700001903108700002303127700002403150700002003174700003003194700002403224700002103248856003603269 2010 eng d a1533-345000aCommon genetic variants associate with serum phosphorus concentration.0 aCommon genetic variants associate with serum phosphorus concentr c2010 Jul a1223-320 v213 aPhosphorus is an essential mineral that maintains cellular energy and mineralizes the skeleton. Because complex actions of ion transporters and regulatory hormones regulate serum phosphorus concentrations, genetic variation may determine interindividual variation in phosphorus metabolism. Here, we report a comprehensive genome-wide association study of serum phosphorus concentration. We evaluated 16,264 participants of European ancestry from the Cardiovascular Heath Study, Atherosclerosis Risk in Communities Study, Framingham Offspring Study, and the Rotterdam Study. We excluded participants with an estimated GFR <45 ml/min per 1.73 m(2) to focus on phosphorus metabolism under normal conditions. We imputed genotypes to approximately 2.5 million single-nucleotide polymorphisms in the HapMap and combined study-specific findings using meta-analysis. We tested top polymorphisms from discovery cohorts in a 5444-person replication sample. Polymorphisms in seven loci with minor allele frequencies 0.08 to 0.49 associate with serum phosphorus concentration (P = 3.5 x 10(-16) to 3.6 x 10(-7)). Three loci were near genes encoding the kidney-specific type IIa sodium phosphate co-transporter (SLC34A1), the calcium-sensing receptor (CASR), and fibroblast growth factor 23 (FGF23), proteins that contribute to phosphorus metabolism. We also identified genes encoding phosphatases, kinases, and phosphodiesterases that have yet-undetermined roles in phosphorus homeostasis. In the replication sample, five of seven top polymorphisms associate with serum phosphorous concentrations (P < 0.05 for each). In conclusion, common genetic variants associate with serum phosphorus in the general population. Further study of the loci identified in this study may help elucidate mechanisms of phosphorus regulation.
10aAdult10aAged10aEuropean Continental Ancestry Group10aFemale10aFibroblast Growth Factors10aGene Frequency10aGenetic Loci10aGenetic Variation10aGenome-Wide Association Study10aHumans10aKidney10aMale10aMiddle Aged10aPhosphorus10aPolymorphism, Single Nucleotide10aReceptors, Calcium-Sensing10aSex Factors10aSodium-Phosphate Cotransporter Proteins, Type IIa1 aKestenbaum, Bryan1 aGlazer, Nicole, L1 aKöttgen, Anna1 aFelix, Janine, F1 aHwang, Shih-Jen1 aLiu, Yongmei1 aLohman, Kurt1 aKritchevsky, Stephen, B1 aHausman, Dorothy, B1 aPetersen, Ann-Kristin1 aGieger, Christian1 aRied, Janina, S1 aMeitinger, Thomas1 aStrom, Tim, M1 aWichmann, Erich, H1 aCampbell, Harry1 aHayward, Caroline1 aRudan, Igor1 ade Boer, Ian, H1 aPsaty, Bruce, M1 aRice, Kenneth, M1 aChen, Yii-Der Ida1 aLi, Man1 aArking, Dan, E1 aBoerwinkle, Eric1 aCoresh, Josef1 aYang, Qiong1 aLevy, Daniel1 avan Rooij, Frank, J A1 aDehghan, Abbas1 aRivadeneira, Fernando1 aUitterlinden, André, G1 aHofman, Albert1 aDuijn, Cornelia, M1 aShlipak, Michael, G1 aKao, Linda, W H1 aWitteman, Jacqueline, C M1 aSiscovick, David, S1 aFox, Caroline, S uhttps://chs-nhlbi.org/node/120603077nas a2200529 4500008004100000022001400041245010500055210006900160260001600229300001300245490000700258520157300265653001001838653001201848653001101860653001101871653000901882653001601891653003601907653003101943100002601974700001602000700002202016700002202038700001902060700002102079700002002100700001702120700002002137700002302157700001902180700002802199700002202227700002102249700002402270700002202294700002002316700001802336700002402354700002802378700001902406700002502425700002102450700001902471710002102490856003602511 2010 eng d a1460-208300aCommon variants in the calcium-sensing receptor gene are associated with total serum calcium levels.0 aCommon variants in the calciumsensing receptor gene are associat c2010 Nov 01 a4296-3030 v193 aSerum calcium levels are tightly regulated. We performed genome-wide association studies (GWAS) in population-based studies participating in the CHARGE Consortium to uncover common genetic variations associated with total serum calcium levels. GWAS of serum calcium concentrations was performed in 20 611 individuals of European ancestry for ∼2.5 million genotyped and imputed single-nucleotide polymorphisms (SNPs). The SNP with the lowest P-value was rs17251221 (P = 2.4 * 10(-22), minor allele frequency 14%) in the calcium-sensing receptor gene (CASR). This lead SNP was associated with higher serum calcium levels [0.06 mg/dl (0.015 mmol/l) per copy of the minor G allele] and accounted for 0.54% of the variance in serum calcium concentrations. The identification of variation in CASR that influences serum calcium concentration confirms the results of earlier candidate gene studies. The G allele of rs17251221 was also associated with higher serum magnesium levels (P = 1.2 * 10(-3)), lower serum phosphate levels (P = 2.8 * 10(-7)) and lower bone mineral density at the lumbar spine (P = 0.038), but not the femoral neck. No additional genomic loci contained SNPs associated at genome-wide significance (P < 5 * 10(-8)). These associations resemble clinical characteristics of patients with familial hypocalciuric hypercalcemia, an autosomal-dominant disease arising from rare inactivating mutations in the CASR gene. We conclude that common genetic variation in the CASR gene is associated with similar but milder features in the general population.
10aAdult10aCalcium10aFemale10aHumans10aMale10aMiddle Aged10aPolymorphism, Single Nucleotide10aReceptors, Calcium-Sensing1 aO'Seaghdha, Conall, M1 aYang, Qiong1 aGlazer, Nicole, L1 aLeak, Tennille, S1 aDehghan, Abbas1 aSmith, Albert, V1 aKao, Linda, W H1 aLohman, Kurt1 aHwang, Shih-Jen1 aJohnson, Andrew, D1 aHofman, Albert1 aUitterlinden, André, G1 aChen, Yii-Der Ida1 aBrown, Edward, M1 aSiscovick, David, S1 aHarris, Tamara, B1 aPsaty, Bruce, M1 aCoresh, Josef1 aGudnason, Vilmundur1 aWitteman, Jacqueline, C1 aLiu, Yong, Mei1 aKestenbaum, Bryan, R1 aFox, Caroline, S1 aKöttgen, Anna1 aGEFOS Consortium uhttps://chs-nhlbi.org/node/122404031nas a2200733 4500008004100000022001400041245014700055210006900202260001600271490000600287520185700293653001002150653000902160653004002169653001102209653003402220653001102254653001402265653000902279653001602288653003602304653001402340653001102354100002002365700002602385700002002411700002202431700002102453700002602474700002002500700002102520700002102541700002202562700002202584700001602606700001902622700001902641700001602660700001802676700001902694700001902713700002002732700002202752700001802774700001802792700002202810700001802832700001902850700002002869700002202889700002802911700002602939700002002965700002302985700002003008700003003028700002403058700002403082700002103106700001903127710004803146710006703194856003603261 2010 eng d a1553-740400aGenome-wide association studies of serum magnesium, potassium, and sodium concentrations identify six Loci influencing serum magnesium levels.0 aGenomewide association studies of serum magnesium potassium and c2010 Aug 050 v63 aMagnesium, potassium, and sodium, cations commonly measured in serum, are involved in many physiological processes including energy metabolism, nerve and muscle function, signal transduction, and fluid and blood pressure regulation. To evaluate the contribution of common genetic variation to normal physiologic variation in serum concentrations of these cations, we conducted genome-wide association studies of serum magnesium, potassium, and sodium concentrations using approximately 2.5 million genotyped and imputed common single nucleotide polymorphisms (SNPs) in 15,366 participants of European descent from the international CHARGE Consortium. Study-specific results were combined using fixed-effects inverse-variance weighted meta-analysis. SNPs demonstrating genome-wide significant (p<5 x 10(-8)) or suggestive associations (p<4 x 10(-7)) were evaluated for replication in an additional 8,463 subjects of European descent. The association of common variants at six genomic regions (in or near MUC1, ATP2B1, DCDC5, TRPM6, SHROOM3, and MDS1) with serum magnesium levels was genome-wide significant when meta-analyzed with the replication dataset. All initially significant SNPs from the CHARGE Consortium showed nominal association with clinically defined hypomagnesemia, two showed association with kidney function, two with bone mineral density, and one of these also associated with fasting glucose levels. Common variants in CNNM2, a magnesium transporter studied only in model systems to date, as well as in CNNM3 and CNNM4, were also associated with magnesium concentrations in this study. We observed no associations with serum sodium or potassium levels exceeding p<4 x 10(-7). Follow-up studies of newly implicated genomic loci may provide additional insights into the regulation and homeostasis of human serum magnesium levels.
10aAdult10aAged10aEuropean Continental Ancestry Group10aFemale10aGenome-Wide Association Study10aHumans10aMagnesium10aMale10aMiddle Aged10aPolymorphism, Single Nucleotide10aPotassium10aSodium1 aMeyer, Tamra, E1 aVerwoert, Germaine, C1 aHwang, Shih-Jen1 aGlazer, Nicole, L1 aSmith, Albert, V1 avan Rooij, Frank, J A1 aEhret, Georg, B1 aBoerwinkle, Eric1 aFelix, Janine, F1 aLeak, Tennille, S1 aHarris, Tamara, B1 aYang, Qiong1 aDehghan, Abbas1 aAspelund, Thor1 aKatz, Ronit1 aHomuth, Georg1 aKocher, Thomas1 aRettig, Rainer1 aRied, Janina, S1 aGieger, Christian1 aPrucha, Hanna1 aPfeufer, Arne1 aMeitinger, Thomas1 aCoresh, Josef1 aHofman, Albert1 aSarnak, Mark, J1 aChen, Yii-Der Ida1 aUitterlinden, André, G1 aChakravarti, Aravinda1 aPsaty, Bruce, M1 aDuijn, Cornelia, M1 aKao, Linda, W H1 aWitteman, Jacqueline, C M1 aGudnason, Vilmundur1 aSiscovick, David, S1 aFox, Caroline, S1 aKöttgen, Anna1 aGenetic Factors for Osteoporosis Consortium1 aMeta Analysis of Glucose and Insulin Related Traits Consortium uhttps://chs-nhlbi.org/node/122304080nas a2200757 4500008004100000022001400041245019100055210006900246260001300315300001100328490000600339520181900345653002202164653000902186653002202195653001502217653001902232653004002251653001102291653003402302653001302336653001802349653001102367653001202378653000902390653003802399653002202437653001602459653003602475653001702511100002402528700002102552700002502573700002202598700002002620700001902640700002302659700001902682700002302701700002402724700001802748700002302766700002102789700002602810700002402836700001902860700001802879700002302897700003002920700002102950700002302971700001902994700001703013700002203030700001803052700002803070700002003098700002003118700002403138700002303162700002103185700003003206700002703236700002303263856003603286 2010 eng d a1942-326800aGenomic variation associated with mortality among adults of European and African ancestry with heart failure: the cohorts for heart and aging research in genomic epidemiology consortium.0 aGenomic variation associated with mortality among adults of Euro c2010 Jun a248-550 v33 aBACKGROUND: Prognosis and survival are significant concerns for individuals with heart failure (HF). To better understand the pathophysiology of HF prognosis, the association between 2,366,858 single-nucleotide polymorphisms (SNPs) and all-cause mortality was evaluated among individuals with incident HF from 4 community-based prospective cohorts: the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study.
METHODS AND RESULTS: Participants were 2526 individuals of European ancestry and 466 individuals of African ancestry who experienced an incident HF event during follow-up in the respective cohorts. Within each study, the association between genetic variants and time to mortality among individuals with HF was assessed by Cox proportional hazards models that included adjustment for sex and age at the time of the HF event. Prospective fixed-effect meta-analyses were conducted for the 4 study populations of European ancestry (N=1645 deaths) and for the 2 populations of African ancestry (N=281 deaths). Genome-wide significance was set at P=5.0x10(-7). Meta-analytic findings among individuals of European ancestry revealed 1 genome-wide significant locus on chromosome 3p22 in an intron of CKLF-like MARVEL transmembrane domain containing 7 (CMTM7, P=3.2x10(-7)). Eight additional loci in individuals of European ancestry and 4 loci in individuals of African ancestry were identified by high-signal SNPs (P<1.0x10(-5)) but did not meet genome-wide significance.
CONCLUSIONS: This study identified a novel locus associated with all-cause mortality among individuals of European ancestry with HF. This finding warrants additional investigation, including replication, in other studies of HF.
10aAfrican Americans10aAged10aAged, 80 and over10aChemokines10aCohort Studies10aEuropean Continental Ancestry Group10aFemale10aGenome-Wide Association Study10aGenotype10aHeart Failure10aHumans10aIntrons10aMale10aMARVEL Domain-Containing Proteins10aMembrane Proteins10aMiddle Aged10aPolymorphism, Single Nucleotide10aRisk Factors1 aMorrison, Alanna, C1 aFelix, Janine, F1 aCupples, Adrienne, L1 aGlazer, Nicole, L1 aLoehr, Laura, R1 aDehghan, Abbas1 aDemissie, Serkalem1 aBis, Joshua, C1 aRosamond, Wayne, D1 aAulchenko, Yurii, S1 aWang, Ying, A1 aHaritunians, Talin1 aFolsom, Aaron, R1 aRivadeneira, Fernando1 aBenjamin, Emelia, J1 aLumley, Thomas1 aCouper, David1 aStricker, Bruno, H1 aO'Donnell, Christopher, J1 aRice, Kenneth, M1 aChang, Patricia, P1 aHofman, Albert1 aLevy, Daniel1 aRotter, Jerome, I1 aFox, Ervin, R1 aUitterlinden, André, G1 aWang, Thomas, J1 aPsaty, Bruce, M1 aWillerson, James, T1 aDuijn, Cornelia, M1 aBoerwinkle, Eric1 aWitteman, Jacqueline, C M1 aVasan, Ramachandran, S1 aSmith, Nicholas, L uhttps://chs-nhlbi.org/node/118703243nas a2200625 4500008004100000022001400041245009400055210006900149260001600218300001200234490000700246520141500253653002701668653002001695653003801715653004001753653001701793653003401810653001101844653003801855653001501893100001901908700001901927700001901946700001901965700002201984700002402006700001702030700002102047700002302068700002002091700001302111700002202124700001802146700001702164700002002181700001802201700002202219700002702241700002202268700002202290700002802312700002302340700001702363700002302380700002002403700002102423700001902444700002102463700002002484700002802504700002502532700002402557856003602581 2010 eng d a1460-208300aLarge-scale genomic studies reveal central role of ABO in sP-selectin and sICAM-1 levels.0 aLargescale genomic studies reveal central role of ABO in sPselec c2010 May 01 a1863-720 v193 aP-selectin and intercellular adhesion molecule-1 (ICAM-1) participate in inflammatory processes by promoting adhesion of leukocytes to vascular wall endothelium. Their soluble levels have been associated with adverse cardiovascular events. To identify loci affecting soluble levels of P-selectin (sP-selectin) and ICAM-1 (sICAM-1), we performed a genome-wide association study in a sample of 4115 (sP-selectin) and 9813 (sICAM-1) individuals of European ancestry as a part of The Cohorts for Heart and Aging Research in Genome Epidemiology consortium. The most significant SNP association for sP-selectin was within the SELP gene (rs6136, P = 4.05 x 10(-61)) and for sICAM-1 levels within the ICAM-1 gene (rs3093030, P = 3.53 x 10(-23)). Both sP-selectin and sICAM-1 were associated with ABO gene variants (rs579459, P = 1.86 x 10(-41) and rs649129, P = 1.22 x 10(-15), respectively) and in both cases the observed associations could be accounted for by the A1 allele of the ABO blood group. The absence of an association between ABO blood group and platelet-bound P-selectin levels in an independent subsample (N = 1088) from the ARIC study, suggests that the ABO blood group may influence cleavage of the P-selectin protein from the cell surface or clearance from the circulation, rather than its production and cellular presentation. These results provide new insights into adhesion molecule biology.
10aABO Blood-Group System10aBlood Platelets10aEnzyme-Linked Immunosorbent Assay10aEuropean Continental Ancestry Group10aFluorescence10aGenome-Wide Association Study10aHumans10aIntercellular Adhesion Molecule-110aP-Selectin1 aBarbalic, Maja1 aDupuis, Josée1 aDehghan, Abbas1 aBis, Joshua, C1 aHoogeveen, Ron, C1 aSchnabel, Renate, B1 aNambi, Vijay1 aBretler, Monique1 aSmith, Nicholas, L1 aPeters, Annette1 aLu, Chen1 aTracy, Russell, P1 aAleksic, Nena1 aHeeriga, Jan1 aKeaney, John, F1 aRice, Kenneth1 aLip, Gregory, Y H1 aVasan, Ramachandran, S1 aGlazer, Nicole, L1 aLarson, Martin, G1 aUitterlinden, André, G1 aYamamoto, Jennifer1 aDurda, Peter1 aHaritunians, Talin1 aPsaty, Bruce, M1 aBoerwinkle, Eric1 aHofman, Albert1 aKoenig, Wolfgang1 aJenny, Nancy, S1 aWitteman, Jacqueline, C1 aBallantyne, Christie1 aBenjamin, Emelia, J uhttps://chs-nhlbi.org/node/116903867nas a2200745 4500008004100000022001400041245012900055210006900184260001300253300001100266490000600277520177500283653002802058653002102086653001102107653001702118653003402135653000902169653001102178653000902189653001702198653001402215100001602229700001902245700001902264700002102283700002202304700002002326700002302346700001902369700002402388700002202412700001902434700001902453700002002472700001902492700002102511700002002532700001202552700002002564700002102584700002302605700001202628700001902640700002002659700002102679700002002700700002202720700003002742700002102772700002302793700001902816700002602835700002002861700002802881700002102909700002002930700002002950700002402970700002402994700002803018700002103046700001803067856003603085 2010 eng d a1942-326800aMultiple genetic loci influence serum urate levels and their relationship with gout and cardiovascular disease risk factors.0 aMultiple genetic loci influence serum urate levels and their rel c2010 Dec a523-300 v33 aBACKGROUND: Elevated serum urate levels can lead to gout and are associated with cardiovascular risk factors. We performed a genome-wide association study to search for genetic susceptibility loci for serum urate and gout and investigated the causal nature of the associations of serum urate with gout and selected cardiovascular risk factors and coronary heart disease (CHD).
METHODS AND RESULTS: Meta-analyses of genome-wide association studies (GWAS) were performed in 5 population-based cohorts of the Cohorts for Heart and Aging Research in Genome Epidemiology consortium for serum urate and gout in 28 283 white participants. The effect of the most significant single-nucleotide polymorphism at all genome-wide significant loci on serum urate was added to create a genetic urate score. Findings were replicated in the Women's Genome Health Study (n=22 054). Single-nucleotide polymorphisms at 8 genetic loci achieved genome-wide significance with serum urate levels (P=4×10(-8) to 2×10(-242) in SLC22A11, GCKR, R3HDM2-INHBC region, RREB1, PDZK1, SLC2A9, ABCG2, and SLC17A1). Only 2 loci (SLC2A9, ABCG2) showed genome-wide significant association with gout. The genetic urate score was strongly associated with serum urate and gout (odds ratio, 12.4 per 100 μmol/L; P=3×10(-39)) but not with blood pressure, glucose, estimated glomerular filtration rate, chronic kidney disease, or CHD. The lack of association between the genetic score and the latter phenotypes also was observed in the Women's Genome Health Study.
CONCLUSIONS: The genetic urate score analysis suggested a causal relationship between serum urate and gout but did not provide evidence for one between serum urate and cardiovascular risk factors and CHD.
10aCardiovascular Diseases10aCoronary Disease10aFemale10aGenetic Loci10aGenome-Wide Association Study10aGout10aHumans10aMale10aRisk Factors10aUric Acid1 aYang, Qiong1 aKöttgen, Anna1 aDehghan, Abbas1 aSmith, Albert, V1 aGlazer, Nicole, L1 aChen, Ming-Huei1 aChasman, Daniel, I1 aAspelund, Thor1 aEiriksdottir, Gudny1 aHarris, Tamara, B1 aLauner, Lenore1 aNalls, Michael1 aHernandez, Dena1 aArking, Dan, E1 aBoerwinkle, Eric1 aGrove, Megan, L1 aLi, Man1 aKao, W, H Linda1 aChonchol, Michel1 aHaritunians, Talin1 aLi, Guo1 aLumley, Thomas1 aPsaty, Bruce, M1 aShlipak, Michael1 aHwang, Shih-Jen1 aLarson, Martin, G1 aO'Donnell, Christopher, J1 aUpadhyay, Ashish1 aDuijn, Cornelia, M1 aHofman, Albert1 aRivadeneira, Fernando1 aStricker, Bruno1 aUitterlinden, André, G1 aParé, Guillaume1 aParker, Alex, N1 aRidker, Paul, M1 aSiscovick, David, S1 aGudnason, Vilmundur1 aWitteman, Jacqueline, C1 aFox, Caroline, S1 aCoresh, Josef uhttps://chs-nhlbi.org/node/123512636nas a2204069 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2010 eng d a1546-171800aNew genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk.0 aNew genetic loci implicated in fasting glucose homeostasis and t c2010 Feb a105-160 v423 aLevels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, fasting insulin and indices of beta-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up to 46,186 nondiabetic participants. Follow-up of 25 loci in up to 76,558 additional subjects identified 16 loci associated with fasting glucose and HOMA-B and two loci associated with fasting insulin and HOMA-IR. These include nine loci newly associated with fasting glucose (in or near ADCY5, MADD, ADRA2A, CRY2, FADS1, GLIS3, SLC2A2, PROX1 and C2CD4B) and one influencing fasting insulin and HOMA-IR (near IGF1). We also demonstrated association of ADCY5, PROX1, GCK, GCKR and DGKB-TMEM195 with type 2 diabetes. Within these loci, likely biological candidate genes influence signal transduction, cell proliferation, development, glucose-sensing and circadian regulation. Our results demonstrate that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes.
10aAdolescent10aAdult10aAlleles10aBlood Glucose10aChild10aDatabases, Genetic10aDiabetes Mellitus, Type 210aDNA Copy Number Variations10aFasting10aGene Expression Regulation10aGenetic Loci10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aHomeostasis10aHumans10aMeta-Analysis as Topic10aPolymorphism, Single Nucleotide10aQuantitative Trait Loci10aQuantitative Trait, Heritable10aReproducibility of Results1 aDupuis, Josée1 aLangenberg, Claudia1 aProkopenko, Inga1 aSaxena, Richa1 aSoranzo, Nicole1 aJackson, Anne, U1 aWheeler, Eleanor1 aGlazer, Nicole, L1 aBouatia-Naji, Nabila1 aGloyn, Anna, L1 aLindgren, Cecilia, M1 aMägi, Reedik1 aMorris, Andrew, P1 aRandall, Joshua1 aJohnson, Toby1 aElliott, Paul1 aRybin, Denis1 aThorleifsson, Gudmar1 aSteinthorsdottir, Valgerdur1 aHenneman, Peter1 aGrallert, Harald1 aDehghan, Abbas1 aHottenga, Jouke Jan1 aFranklin, Christopher, S1 aNavarro, Pau1 aSong, Kijoung1 aGoel, Anuj1 aPerry, John, R B1 aEgan, Josephine, M1 aLajunen, Taina1 aGrarup, Niels1 aSparsø, Thomas1 aDoney, Alex1 aVoight, Benjamin, F1 aStringham, Heather, M1 aLi, Man1 aKanoni, Stavroula1 aShrader, Peter1 aCavalcanti-Proença, Christine1 aKumari, Meena1 aQi, Lu1 aTimpson, Nicholas, J1 aGieger, Christian1 aZabena, Carina1 aRocheleau, Ghislain1 aIngelsson, Erik1 aAn, Ping1 aO'Connell, Jeffrey1 aLuan, Jian'an1 aElliott, Amanda1 aMcCarroll, Steven, A1 aPayne, Felicity1 aRoccasecca, Rosa Maria1 aPattou, François1 aSethupathy, Praveen1 aArdlie, Kristin1 aAriyurek, Yavuz1 aBalkau, Beverley1 aBarter, Philip1 aBeilby, John, P1 aBen-Shlomo, Yoav1 aBenediktsson, Rafn1 aBennett, Amanda, J1 aBergmann, Sven1 aBochud, Murielle1 aBoerwinkle, Eric1 aBonnefond, Amélie1 aBonnycastle, Lori, L1 aBorch-Johnsen, Knut1 aBöttcher, Yvonne1 aBrunner, Eric1 aBumpstead, Suzannah, J1 aCharpentier, Guillaume1 aChen, Yii-Der Ida1 aChines, Peter1 aClarke, Robert1 aCoin, Lachlan, J M1 aCooper, Matthew, N1 aCornelis, Marilyn1 aCrawford, Gabe1 aCrisponi, Laura1 aDay, Ian, N M1 aGeus, Eco, J C1 aDelplanque, Jerome1 aDina, Christian1 aErdos, Michael, R1 aFedson, Annette, C1 aFischer-Rosinsky, Antje1 aForouhi, Nita, G1 aFox, Caroline, S1 aFrants, Rune1 aFranzosi, Maria Grazia1 aGalan, Pilar1 aGoodarzi, Mark, O1 aGraessler, Jürgen1 aGroves, Christopher, J1 aGrundy, Scott1 aGwilliam, Rhian1 aGyllensten, Ulf1 aHadjadj, Samy1 aHallmans, Göran1 aHammond, Naomi1 aHan, Xijing1 aHartikainen, Anna-Liisa1 aHassanali, Neelam1 aHayward, Caroline1 aHeath, Simon, C1 aHercberg, Serge1 aHerder, Christian1 aHicks, Andrew, A1 aHillman, David, R1 aHingorani, Aroon, D1 aHofman, Albert1 aHui, Jennie1 aHung, Joe1 aIsomaa, Bo1 aJohnson, Paul, R V1 aJørgensen, Torben1 aJula, Antti1 aKaakinen, Marika1 aKaprio, Jaakko1 aKesaniemi, Antero, Y1 aKivimaki, Mika1 aKnight, Beatrice1 aKoskinen, Seppo1 aKovacs, Peter1 aKyvik, Kirsten Ohm1 aLathrop, Mark, G1 aLawlor, Debbie, A1 aLe Bacquer, Olivier1 aLecoeur, Cécile1 aLi, Yun1 aLyssenko, Valeriya1 aMahley, Robert1 aMangino, Massimo1 aManning, Alisa, K1 aMartínez-Larrad, María Teresa1 aMcAteer, Jarred, B1 aMcCulloch, Laura, J1 aMcPherson, Ruth1 aMeisinger, Christa1 aMelzer, David1 aMeyre, David1 aMitchell, Braxton, D1 aMorken, Mario, A1 aMukherjee, Sutapa1 aNaitza, Silvia1 aNarisu, Narisu1 aNeville, Matthew, J1 aOostra, Ben, A1 aOrrù, Marco1 aPakyz, Ruth1 aPalmer, Colin, N A1 aPaolisso, Giuseppe1 aPattaro, Cristian1 aPearson, Daniel1 aPeden, John, F1 aPedersen, Nancy, L1 aPerola, Markus1 aPfeiffer, Andreas, F H1 aPichler, Irene1 aPolasek, Ozren1 aPosthuma, Danielle1 aPotter, Simon, C1 aPouta, Anneli1 aProvince, Michael, A1 aPsaty, Bruce, M1 aRathmann, Wolfgang1 aRayner, Nigel, W1 aRice, Kenneth1 aRipatti, Samuli1 aRivadeneira, Fernando1 aRoden, Michael1 aRolandsson, Olov1 aSandbaek, Annelli1 aSandhu, Manjinder1 aSanna, Serena1 aSayer, Avan Aihie1 aScheet, Paul1 aScott, Laura, J1 aSeedorf, Udo1 aSharp, Stephen, J1 aShields, Beverley1 aSigurethsson, Gunnar1 aSijbrands, Eric, J G1 aSilveira, Angela1 aSimpson, Laila1 aSingleton, Andrew1 aSmith, Nicholas, L1 aSovio, Ulla1 aSwift, Amy1 aSyddall, Holly1 aSyvänen, Ann-Christine1 aTanaka, Toshiko1 aThorand, Barbara1 aTichet, Jean1 aTönjes, Anke1 aTuomi, Tiinamaija1 aUitterlinden, André, G1 aDijk, Ko Willems1 aHoek, Mandy1 aVarma, Dhiraj1 aVisvikis-Siest, Sophie1 aVitart, Veronique1 aVogelzangs, Nicole1 aWaeber, Gérard1 aWagner, Peter, J1 aWalley, Andrew1 aWalters, Bragi, G1 aWard, Kim, L1 aWatkins, Hugh1 aWeedon, Michael, N1 aWild, Sarah, H1 aWillemsen, Gonneke1 aWitteman, Jaqueline, C M1 aYarnell, John, W G1 aZeggini, Eleftheria1 aZelenika, Diana1 aZethelius, Björn1 aZhai, Guangju1 aZhao, Jing Hua1 aZillikens, Carola, M1 aBorecki, Ingrid, B1 aLoos, Ruth, J F1 aMeneton, Pierre1 aMagnusson, Patrik, K E1 aNathan, David, M1 aWilliams, Gordon, H1 aHattersley, Andrew, T1 aSilander, Kaisa1 aSalomaa, Veikko1 aSmith, George Davey1 aBornstein, Stefan, R1 aSchwarz, Peter1 aSpranger, Joachim1 aKarpe, Fredrik1 aShuldiner, Alan, R1 aCooper, Cyrus1 aDedoussis, George, V1 aSerrano-Ríos, Manuel1 aMorris, Andrew, D1 aLind, Lars1 aPalmer, Lyle, J1 aHu, Frank, B1 aFranks, Paul, W1 aEbrahim, Shah1 aMarmot, Michael1 aKao, Linda, W H1 aPankow, James, S1 aSampson, Michael, J1 aKuusisto, Johanna1 aLaakso, Markku1 aHansen, Torben1 aPedersen, Oluf1 aPramstaller, Peter Paul1 aWichmann, Erich, H1 aIllig, Thomas1 aRudan, Igor1 aWright, Alan, F1 aStumvoll, Michael1 aCampbell, Harry1 aWilson, James, F1 aBergman, Richard, N1 aBuchanan, Thomas, A1 aCollins, Francis, S1 aMohlke, Karen, L1 aTuomilehto, Jaakko1 aValle, Timo, T1 aAltshuler, David1 aRotter, Jerome, I1 aSiscovick, David, S1 aPenninx, Brenda, W J H1 aBoomsma, Dorret, I1 aDeloukas, Panos1 aSpector, Timothy, D1 aFrayling, Timothy, M1 aFerrucci, Luigi1 aKong, Augustine1 aThorsteinsdottir, Unnur1 aStefansson, Kari1 aDuijn, Cornelia, M1 aAulchenko, Yurii, S1 aCao, Antonio1 aScuteri, Angelo1 aSchlessinger, David1 aUda, Manuela1 aRuokonen, Aimo1 aJarvelin, Marjo-Riitta1 aWaterworth, Dawn, M1 aVollenweider, Peter1 aPeltonen, Leena1 aMooser, Vincent1 aAbecasis, Goncalo, R1 aWareham, Nicholas, J1 aSladek, Robert1 aFroguel, Philippe1 aWatanabe, Richard, M1 aMeigs, James, B1 aGroop, Leif1 aBoehnke, Michael1 aMcCarthy, Mark, I1 aFlorez, Jose, C1 aBarroso, Inês1 aDIAGRAM Consortium1 aGIANT Consortium1 aGlobal BPgen Consortium1 aAnders Hamsten on behalf of Procardis Consortium1 aMAGIC investigators uhttps://chs-nhlbi.org/node/116006326nas a2201873 4500008004100000022001400041245007300055210006900128260001300197300001100210490000700221520118400228653001901412653001501431653001501446653000901461653001101470653002001481653003401501653003101535653001101566653001101577653002801588653002001616653001701636100001901653700002201672700002301694700002701717700002001744700002201764700001801786700001601804700001601820700002101836700002601857700001201883700002001895700002001915700001801935700002001953700002001973700002301993700001902016700002202035700002102057700002702078700001802105700001702123700002502140700002902165700002402194700001802218700002202236700001902258700002402277700002202301700002202323700002402345700002502369700001902394700002102413700002302434700002602457700002202483700002602505700002002531700002002551700002302571700001902594700002102613700002002634700002502654700001902679700001802698700002202716700002302738700002302761700002002784700002102804700002102825700002402846700001802870700002202888700002202910700001802932700001802950700002302968700002202991700002103013700001603034700002203050700001803072700002103090700001703111700001903128700001603147700001903163700001903182700002003201700002003221700002203241700002203263700002403285700002103309700002603330700002803356700001903384700001903403700002103422700002503443700002303468700002203491700001803513700002203531700001803553700001803571700002003589700002203609700001903631700002103650700002003671700001703691700001903708700002203727700001903749700002503768700002003793700002403813700002403837700001703861700002003878700001803898700002003916700002403936700002103960700001403981700002403995700002304019700001804042700002204060700002004082700002404102700002304126700002004149700002504169700001604194700002004210700002104230700002804251700002604279700001904305700001704324700002304341700001304364700001804377700002104395856003604416 2010 eng d a1546-171800aNew loci associated with kidney function and chronic kidney disease.0 aNew loci associated with kidney function and chronic kidney dise c2010 May a376-840 v423 aChronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry from 20 predominantly population-based studies in order to identify new susceptibility loci for reduced renal function as estimated by serum creatinine (eGFRcrea), serum cystatin c (eGFRcys) and CKD (eGFRcrea < 60 ml/min/1.73 m(2); n = 5,807 individuals with CKD (cases)). Follow-up of the 23 new genome-wide-significant loci (P < 5 x 10(-8)) in 22,982 replication samples identified 13 new loci affecting renal function and CKD (in or near LASS2, GCKR, ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, PRKAG2, PIP5K1B, ATXN2, DACH1, UBE2Q2 and SLC7A9) and 7 loci suspected to affect creatinine production and secretion (CPS1, SLC22A2, TMEM60, WDR37, SLC6A13, WDR72 and BCAS3). These results further our understanding of the biologic mechanisms of kidney function by identifying loci that potentially influence nephrogenesis, podocyte function, angiogenesis, solute transport and metabolic functions of the kidney.
10aCohort Studies10aCreatinine10aCystatin C10aDiet10aEurope10aGenetic Markers10aGenome-Wide Association Study10aGlomerular Filtration Rate10aHumans10aKidney10aKidney Failure, Chronic10aModels, Genetic10aRisk Factors1 aKöttgen, Anna1 aPattaro, Cristian1 aBöger, Carsten, A1 aFuchsberger, Christian1 aOlden, Matthias1 aGlazer, Nicole, L1 aParsa, Afshin1 aGao, Xiaoyi1 aYang, Qiong1 aSmith, Albert, V1 aO'Connell, Jeffrey, R1 aLi, Man1 aSchmidt, Helena1 aTanaka, Toshiko1 aIsaacs, Aaron1 aKetkar, Shamika1 aHwang, Shih-Jen1 aJohnson, Andrew, D1 aDehghan, Abbas1 aTeumer, Alexander1 aParé, Guillaume1 aAtkinson, Elizabeth, J1 aZeller, Tanja1 aLohman, Kurt1 aCornelis, Marilyn, C1 aProbst-Hensch, Nicole, M1 aKronenberg, Florian1 aTönjes, Anke1 aHayward, Caroline1 aAspelund, Thor1 aEiriksdottir, Gudny1 aLauner, Lenore, J1 aHarris, Tamara, B1 aRampersaud, Evadnie1 aMitchell, Braxton, D1 aArking, Dan, E1 aBoerwinkle, Eric1 aStruchalin, Maksim1 aCavalieri, Margherita1 aSingleton, Andrew1 aGiallauria, Francesco1 aMetter, Jeffrey1 ade Boer, Ian, H1 aHaritunians, Talin1 aLumley, Thomas1 aSiscovick, David1 aPsaty, Bruce, M1 aZillikens, Carola, M1 aOostra, Ben, A1 aFeitosa, Mary1 aProvince, Michael1 ade Andrade, Mariza1 aTurner, Stephen, T1 aSchillert, Arne1 aZiegler, Andreas1 aWild, Philipp, S1 aSchnabel, Renate, B1 aWilde, Sandra1 aMunzel, Thomas, F1 aLeak, Tennille, S1 aIllig, Thomas1 aKlopp, Norman1 aMeisinger, Christa1 aWichmann, H-Erich1 aKoenig, Wolfgang1 aZgaga, Lina1 aZemunik, Tatijana1 aKolcic, Ivana1 aMinelli, Cosetta1 aHu, Frank, B1 aJohansson, Asa1 aIgl, Wilmar1 aZaboli, Ghazal1 aWild, Sarah, H1 aWright, Alan, F1 aCampbell, Harry1 aEllinghaus, David1 aSchreiber, Stefan1 aAulchenko, Yurii, S1 aFelix, Janine, F1 aRivadeneira, Fernando1 aUitterlinden, André, G1 aHofman, Albert1 aImboden, Medea1 aNitsch, Dorothea1 aBrandstätter, Anita1 aKollerits, Barbara1 aKedenko, Lyudmyla1 aMägi, Reedik1 aStumvoll, Michael1 aKovacs, Peter1 aBoban, Mladen1 aCampbell, Susan1 aEndlich, Karlhans1 aVölzke, Henry1 aKroemer, Heyo, K1 aNauck, Matthias1 aVölker, Uwe1 aPolasek, Ozren1 aVitart, Veronique1 aBadola, Sunita1 aParker, Alexander, N1 aRidker, Paul, M1 aKardia, Sharon, L R1 aBlankenberg, Stefan1 aLiu, Yongmei1 aCurhan, Gary, C1 aFranke, Andre1 aRochat, Thierry1 aPaulweber, Bernhard1 aProkopenko, Inga1 aWang, Wei1 aGudnason, Vilmundur1 aShuldiner, Alan, R1 aCoresh, Josef1 aSchmidt, Reinhold1 aFerrucci, Luigi1 aShlipak, Michael, G1 aDuijn, Cornelia, M1 aBorecki, Ingrid1 aKrämer, Bernhard, K1 aRudan, Igor1 aGyllensten, Ulf1 aWilson, James, F1 aWitteman, Jacqueline, C1 aPramstaller, Peter, P1 aRettig, Rainer1 aHastie, Nick1 aChasman, Daniel, I1 aKao, W H1 aHeid, Iris, M1 aFox, Caroline, S uhttps://chs-nhlbi.org/node/118304638nas a2200901 4500008004100000022001400041245020700055210006900262260001600331300001200347490000800359520199800367653001002365653001502375653001602390653001102406653003402417653001502451653001102466653000902477653001602486653001402502653003602516653001502552653002602567100002302593700002002616700001902636700002302655700001702678700002002695700002202715700001602737700002502753700001902778700002502797700001602822700001902838700001602857700002702873700002202900700002002922700002302942700002202965700002302987700002203010700002103032700002303053700002103076700002203097700002803119700001803147700002003165700002003185700002103205700001803226700002203244700002203266700002103288700001903309700002103328700002403349700001903373700002003392700001903412700002103431700002203452700002403474700002003498700002103518700002003539700001903559700003003578700001803608700003003626710004403656856003603700 2010 eng d a1524-453900aNovel associations of multiple genetic loci with plasma levels of factor VII, factor VIII, and von Willebrand factor: The CHARGE (Cohorts for Heart and Aging Research in Genome Epidemiology) Consortium.0 aNovel associations of multiple genetic loci with plasma levels o c2010 Mar 30 a1382-920 v1213 aBACKGROUND: Plasma levels of coagulation factors VII (FVII), VIII (FVIII), and von Willebrand factor (vWF) influence risk of hemorrhage and thrombosis. We conducted genome-wide association studies to identify new loci associated with plasma levels.
METHODS AND RESULTS: The setting of the study included 5 community-based studies for discovery comprising 23 608 European-ancestry participants: Atherosclerosis Risk In Communities Study, Cardiovascular Health Study, British 1958 Birth Cohort, Framingham Heart Study, and Rotterdam Study. All subjects had genome-wide single-nucleotide polymorphism (SNP) scans and at least 1 phenotype measured: FVII activity/antigen, FVIII activity, and vWF antigen. Each study used its genotype data to impute to HapMap SNPs and independently conducted association analyses of hemostasis measures using an additive genetic model. Study findings were combined by meta-analysis. Replication was conducted in 7604 participants not in the discovery cohort. For FVII, 305 SNPs exceeded the genome-wide significance threshold of 5.0x10(-8) and comprised 5 loci on 5 chromosomes: 2p23 (smallest P value 6.2x10(-24)), 4q25 (3.6x10(-12)), 11q12 (2.0x10(-10)), 13q34 (9.0x10(-259)), and 20q11.2 (5.7x10(-37)). Loci were within or near genes, including 4 new candidate genes and F7 (13q34). For vWF, 400 SNPs exceeded the threshold and marked 8 loci on 6 chromosomes: 6q24 (1.2x10(-22)), 8p21 (1.3x10(-16)), 9q34 (<5.0x10(-324)), 12p13 (1.7x10(-32)), 12q23 (7.3x10(-10)), 12q24.3 (3.8x10(-11)), 14q32 (2.3x10(-10)), and 19p13.2 (1.3x10(-9)). All loci were within genes, including 6 new candidate genes, as well as ABO (9q34) and VWF (12p13). For FVIII, 5 loci were identified and overlapped vWF findings. Nine of the 10 new findings were replicated.
CONCLUSIONS: New genetic associations were discovered outside previously known biological pathways and may point to novel prevention and treatment targets of hemostasis disorders.
10aAdult10aFactor VII10aFactor VIII10aFemale10aGenome-Wide Association Study10aHemostasis10aHumans10aMale10aMiddle Aged10aPhenotype10aPolymorphism, Single Nucleotide10aThrombosis10avon Willebrand Factor1 aSmith, Nicholas, L1 aChen, Ming-Huei1 aDehghan, Abbas1 aStrachan, David, P1 aBasu, Saonli1 aSoranzo, Nicole1 aHayward, Caroline1 aRudan, Igor1 aSabater-Lleal, Maria1 aBis, Joshua, C1 ade Maat, Moniek, P M1 aRumley, Ann1 aKong, Xiaoxiao1 aYang, Qiong1 aWilliams, Frances, M K1 aVitart, Veronique1 aCampbell, Harry1 aMälarstig, Anders1 aWiggins, Kerri, L1 aDuijn, Cornelia, M1 aMcArdle, Wendy, L1 aPankow, James, S1 aJohnson, Andrew, D1 aSilveira, Angela1 aMcKnight, Barbara1 aUitterlinden, André, G1 aAleksic, Nena1 aMeigs, James, B1 aPeters, Annette1 aKoenig, Wolfgang1 aCushman, Mary1 aKathiresan, Sekar1 aRotter, Jerome, I1 aBovill, Edwin, G1 aHofman, Albert1 aBoerwinkle, Eric1 aTofler, Geoffrey, H1 aPeden, John, F1 aPsaty, Bruce, M1 aLeebeek, Frank1 aFolsom, Aaron, R1 aLarson, Martin, G1 aSpector, Timothy, D1 aWright, Alan, F1 aWilson, James, F1 aHamsten, Anders1 aLumley, Thomas1 aWitteman, Jacqueline, C M1 aTang, Weihong1 aO'Donnell, Christopher, J1 aWellcome Trust Case Control Consortium; uhttps://chs-nhlbi.org/node/117603845nas a2200817 4500008004100000022001400041245008400055210006900139260001300208300001300221490000600234520156700240653004101807653001001848653000901858653002001867653001501887653004001902653001101942653002201953653003201975653001102007653002002018653002802038653000902066653001602075653003602091653003802127653001502165100002302180700002002203700001202223700002502235700001902260700001602279700002202295700001602317700002602333700002102359700002202380700001702402700001402419700002002433700001802453700002302471700001702494700002402511700001902535700001202554700002402566700001502590700002002605700001902625700002602644700002402670700001902694700002502713700002502738700002502763700002102788700002102809700001902830700002402849700002202873700002202895700001802917700002102935700001302956710002202969856003602991 2011 eng d a1553-740400aAssociation of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD.0 aAssociation of eGFRRelated Loci Identified by GWAS with Incident c2011 Sep ae10022920 v73 aFamily studies suggest a genetic component to the etiology of chronic kidney disease (CKD) and end stage renal disease (ESRD). Previously, we identified 16 loci for eGFR in genome-wide association studies, but the associations of these single nucleotide polymorphisms (SNPs) for incident CKD or ESRD are unknown. We thus investigated the association of these loci with incident CKD in 26,308 individuals of European ancestry free of CKD at baseline drawn from eight population-based cohorts followed for a median of 7.2 years (including 2,122 incident CKD cases defined as eGFR <60ml/min/1.73m(2) at follow-up) and with ESRD in four case-control studies in subjects of European ancestry (3,775 cases, 4,577 controls). SNPs at 11 of the 16 loci (UMOD, PRKAG2, ANXA9, DAB2, SHROOM3, DACH1, STC1, SLC34A1, ALMS1/NAT8, UBE2Q2, and GCKR) were associated with incident CKD; p-values ranged from p = 4.1e-9 in UMOD to p = 0.03 in GCKR. After adjusting for baseline eGFR, six of these loci remained significantly associated with incident CKD (UMOD, PRKAG2, ANXA9, DAB2, DACH1, and STC1). SNPs in UMOD (OR = 0.92, p = 0.04) and GCKR (OR = 0.93, p = 0.03) were nominally associated with ESRD. In summary, the majority of eGFR-related loci are either associated or show a strong trend towards association with incident CKD, but have modest associations with ESRD in individuals of European descent. Additional work is required to characterize the association of genetic determinants of CKD and ESRD at different stages of disease progression.
10aAdaptor Proteins, Signal Transducing10aAdult10aAged10aChronic Disease10aCreatinine10aEuropean Continental Ancestry Group10aFemale10aFollow-Up Studies10aGenetic Association Studies10aHumans10aKidney Diseases10aKidney Failure, Chronic10aMale10aMiddle Aged10aPolymorphism, Single Nucleotide10aReceptor, Epidermal Growth Factor10aUromodulin1 aBöger, Carsten, A1 aGorski, Mathias1 aLi, Man1 aHoffmann, Michael, M1 aHuang, Chunmei1 aYang, Qiong1 aTeumer, Alexander1 aKrane, Vera1 aO'Seaghdha, Conall, M1 aKutalik, Zoltán1 aWichmann, H-Erich1 aHaak, Thomas1 aBoes, Eva1 aCoassin, Stefan1 aCoresh, Josef1 aKollerits, Barbara1 aHaun, Margot1 aPaulweber, Bernhard1 aKöttgen, Anna1 aLi, Guo1 aShlipak, Michael, G1 aPowe, Neil1 aHwang, Shih-Jen1 aDehghan, Abbas1 aRivadeneira, Fernando1 aUitterlinden, Andre1 aHofman, Albert1 aBeckmann, Jacques, S1 aKrämer, Bernhard, K1 aWitteman, Jacqueline1 aBochud, Murielle1 aSiscovick, David1 aRettig, Rainer1 aKronenberg, Florian1 aWanner, Christoph1 aThadhani, Ravi, I1 aHeid, Iris, M1 aFox, Caroline, S1 aKao, W H1 aCKDGen Consortium uhttps://chs-nhlbi.org/node/133604787nas 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/128413785nas a2204513 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2011 eng d a1476-468700aGenetic variants in novel pathways influence blood pressure and cardiovascular disease risk.0 aGenetic variants in novel pathways influence blood pressure and c2011 Sep 11 a103-90 v4783 aBlood pressure is a heritable trait influenced by several biological pathways and responsive to environmental stimuli. Over one billion people worldwide have hypertension (≥140 mm Hg systolic blood pressure or ≥90 mm Hg diastolic blood pressure). Even small increments in blood pressure are associated with an increased risk of cardiovascular events. This genome-wide association study of systolic and diastolic blood pressure, which used a multi-stage design in 200,000 individuals of European descent, identified sixteen novel loci: six of these loci contain genes previously known or suspected to regulate blood pressure (GUCY1A3-GUCY1B3, NPR3-C5orf23, ADM, FURIN-FES, GOSR2, GNAS-EDN3); the other ten provide new clues to blood pressure physiology. A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function. We also observed associations with blood pressure in East Asian, South Asian and African ancestry individuals. Our findings provide new insights into the genetics and biology of blood pressure, and suggest potential novel therapeutic pathways for cardiovascular disease prevention.
10aAfrica10aAsia10aBlood Pressure10aCardiovascular Diseases10aCoronary Artery Disease10aEurope10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aHumans10aHypertension10aKidney Diseases10aPolymorphism, Single Nucleotide10aStroke1 aInternational Consortium for Blood Pressure Genome-Wide Association Studies1 aEhret, Georg, B1 aMunroe, Patricia, B1 aRice, Kenneth, M1 aBochud, Murielle1 aJohnson, Andrew, D1 aChasman, Daniel, I1 aSmith, Albert, V1 aTobin, Martin, D1 aVerwoert, Germaine, C1 aHwang, Shih-Jen1 aPihur, Vasyl1 aVollenweider, Peter1 aO'Reilly, Paul, F1 aAmin, Najaf1 aBragg-Gresham, Jennifer, L1 aTeumer, Alexander1 aGlazer, Nicole, L1 aLauner, Lenore1 aZhao, Jing Hua1 aAulchenko, Yurii1 aHeath, Simon1 aSõber, Siim1 aParsa, Afshin1 aLuan, Jian'an1 aArora, Pankaj1 aDehghan, Abbas1 aZhang, Feng1 aLucas, Gavin1 aHicks, Andrew, A1 aJackson, Anne, U1 aPeden, John, F1 aTanaka, Toshiko1 aWild, Sarah, H1 aRudan, Igor1 aIgl, Wilmar1 aMilaneschi, Yuri1 aParker, Alex, N1 aFava, Cristiano1 aChambers, John, C1 aFox, Ervin, R1 aKumari, Meena1 aGo, Min Jin1 aHarst, Pim1 aKao, Wen Hong Linda1 aSjögren, Marketa1 aVinay, D G1 aAlexander, Myriam1 aTabara, Yasuharu1 aShaw-Hawkins, Sue1 aWhincup, Peter, H1 aLiu, Yongmei1 aShi, Gang1 aKuusisto, Johanna1 aTayo, Bamidele1 aSeielstad, Mark1 aSim, Xueling1 aNguyen, Khanh-Dung Hoang1 aLehtimäki, Terho1 aMatullo, Giuseppe1 aWu, Ying1 aGaunt, Tom, R1 aOnland-Moret, Charlotte, N1 aCooper, Matthew, N1 aPlatou, Carl, G P1 aOrg, Elin1 aHardy, Rebecca1 aDahgam, Santosh1 aPalmen, Jutta1 aVitart, Veronique1 aBraund, Peter, S1 aKuznetsova, Tatiana1 aUiterwaal, Cuno, S P M1 aAdeyemo, Adebowale1 aPalmas, Walter1 aCampbell, Harry1 aLudwig, Barbara1 aTomaszewski, Maciej1 aTzoulaki, Ioanna1 aPalmer, Nicholette, D1 aAspelund, Thor1 aGarcia, Melissa1 aChang, Yen-Pei, C1 aO'Connell, Jeffrey, R1 aSteinle, Nanette, I1 aGrobbee, Diederick, E1 aArking, Dan, E1 aKardia, Sharon, L1 aMorrison, Alanna, C1 aHernandez, Dena1 aNajjar, Samer1 aMcArdle, Wendy, L1 aHadley, David1 aBrown, Morris, J1 aConnell, John, M1 aHingorani, Aroon, D1 aDay, Ian, N M1 aLawlor, Debbie, A1 aBeilby, John, P1 aLawrence, Robert, W1 aClarke, Robert1 aHopewell, Jemma, C1 aOngen, Halit1 aDreisbach, Albert, W1 aLi, Yali1 aYoung, Hunter, J1 aBis, Joshua, C1 aKähönen, Mika1 aViikari, Jorma1 aAdair, Linda, S1 aLee, Nanette, R1 aChen, Ming-Huei1 aOlden, Matthias1 aPattaro, Cristian1 aBolton, Judith Hoffman, A1 aKöttgen, Anna1 aBergmann, Sven1 aMooser, Vincent1 aChaturvedi, Nish1 aFrayling, Timothy, M1 aIslam, Muhammad1 aJafar, Tazeen, H1 aErdmann, Jeanette1 aKulkarni, Smita, R1 aBornstein, Stefan, R1 aGrässler, Jürgen1 aGroop, Leif1 aVoight, Benjamin, F1 aKettunen, Johannes1 aHoward, Philip1 aTaylor, Andrew1 aGuarrera, Simonetta1 aRicceri, Fulvio1 aEmilsson, Valur1 aPlump, Andrew1 aBarroso, Inês1 aKhaw, Kay-Tee1 aWeder, Alan, B1 aHunt, Steven, C1 aSun, Yan, V1 aBergman, Richard, N1 aCollins, Francis, S1 aBonnycastle, Lori, L1 aScott, Laura, J1 aStringham, Heather, M1 aPeltonen, Leena1 aPerola, Markus1 aVartiainen, Erkki1 aBrand, Stefan-Martin1 aStaessen, Jan, A1 aWang, Thomas, J1 aBurton, Paul, R1 aArtigas, Maria, Soler1 aDong, Yanbin1 aSnieder, Harold1 aWang, Xiaoling1 aZhu, Haidong1 aLohman, Kurt, K1 aRudock, Megan, E1 aHeckbert, Susan, R1 aSmith, Nicholas, L1 aWiggins, Kerri, L1 aDoumatey, Ayo1 aShriner, Daniel1 aVeldre, Gudrun1 aViigimaa, Margus1 aKinra, Sanjay1 aPrabhakaran, Dorairaj1 aTripathy, Vikal1 aLangefeld, Carl, D1 aRosengren, Annika1 aThelle, Dag, S1 aCorsi, Anna Maria1 aSingleton, Andrew1 aForrester, Terrence1 aHilton, Gina1 aMcKenzie, Colin, A1 aSalako, Tunde1 aIwai, Naoharu1 aKita, Yoshikuni1 aOgihara, Toshio1 aOhkubo, Takayoshi1 aOkamura, Tomonori1 aUeshima, Hirotsugu1 aUmemura, Satoshi1 aEyheramendy, Susana1 aMeitinger, Thomas1 aWichmann, H-Erich1 aCho, Yoon Shin1 aKim, Hyung-Lae1 aLee, Jong-Young1 aScott, James1 aSehmi, Joban, S1 aZhang, Weihua1 aHedblad, Bo1 aNilsson, Peter1 aSmith, George Davey1 aWong, Andrew1 aNarisu, Narisu1 aStančáková, Alena1 aRaffel, Leslie, J1 aYao, Jie1 aKathiresan, Sekar1 aO'Donnell, Christopher, J1 aSchwartz, Stephen, M1 aIkram, Arfan, M1 aLongstreth, W T1 aMosley, Thomas, H1 aSeshadri, Sudha1 aShrine, Nick, R G1 aWain, Louise, V1 aMorken, Mario, A1 aSwift, Amy, J1 aLaitinen, Jaana1 aProkopenko, Inga1 aZitting, Paavo1 aCooper, Jackie, A1 aHumphries, Steve, E1 aDanesh, John1 aRasheed, Asif1 aGoel, Anuj1 aHamsten, Anders1 aWatkins, Hugh1 aBakker, Stephan, J L1 aGilst, Wiek, H1 aJanipalli, Charles, S1 aMani, Radha, K1 aYajnik, Chittaranjan, S1 aHofman, Albert1 aMattace-Raso, Francesco, U S1 aOostra, Ben, A1 aDemirkan, Ayse1 aIsaacs, Aaron1 aRivadeneira, Fernando1 aLakatta, Edward, G1 aOrrù, Marco1 aScuteri, Angelo1 aAla-Korpela, Mika1 aKangas, Antti, J1 aLyytikäinen, Leo-Pekka1 aSoininen, Pasi1 aTukiainen, Taru1 aWürtz, Peter1 aOng, Rick Twee-Hee1 aDörr, Marcus1 aKroemer, Heyo, K1 aVölker, Uwe1 aVölzke, Henry1 aGalan, Pilar1 aHercberg, Serge1 aLathrop, Mark1 aZelenika, Diana1 aDeloukas, Panos1 aMangino, Massimo1 aSpector, Tim, D1 aZhai, Guangju1 aMeschia, James, F1 aNalls, Michael, A1 aSharma, Pankaj1 aTerzic, Janos1 aKumar, Kranthi, M V1 aDenniff, Matthew1 aZukowska-Szczechowska, Ewa1 aWagenknecht, Lynne, E1 aFowkes, Gerald, F R1 aCharchar, Fadi, J1 aSchwarz, Peter, E H1 aHayward, Caroline1 aGuo, Xiuqing1 aRotimi, Charles1 aBots, Michiel, L1 aBrand, Eva1 aSamani, Nilesh, J1 aPolasek, Ozren1 aTalmud, Philippa, J1 aNyberg, Fredrik1 aKuh, Diana1 aLaan, Maris1 aHveem, Kristian1 aPalmer, Lyle, J1 aSchouw, Yvonne, T1 aCasas, Juan, P1 aMohlke, Karen, L1 aVineis, Paolo1 aRaitakari, Olli1 aGanesh, Santhi, K1 aWong, Tien, Y1 aTai, Shyong, E1 aCooper, Richard, S1 aLaakso, Markku1 aRao, Dabeeru, C1 aHarris, Tamara, B1 aMorris, Richard, W1 aDominiczak, Anna, F1 aKivimaki, Mika1 aMarmot, Michael, G1 aMiki, Tetsuro1 aSaleheen, Danish1 aChandak, Giriraj, R1 aCoresh, Josef1 aNavis, Gerjan1 aSalomaa, Veikko1 aHan, Bok-Ghee1 aZhu, Xiaofeng1 aKooner, Jaspal, S1 aMelander, Olle1 aRidker, Paul, M1 aBandinelli, Stefania1 aGyllensten, Ulf, B1 aWright, Alan, F1 aWilson, James, F1 aFerrucci, Luigi1 aFarrall, Martin1 aTuomilehto, Jaakko1 aPramstaller, Peter, P1 aElosua, Roberto1 aSoranzo, Nicole1 aSijbrands, Eric, J G1 aAltshuler, David1 aLoos, Ruth, J F1 aShuldiner, Alan, R1 aGieger, Christian1 aMeneton, Pierre1 aUitterlinden, André, G1 aWareham, Nicholas, J1 aGudnason, Vilmundur1 aRotter, Jerome, I1 aRettig, Rainer1 aUda, Manuela1 aStrachan, David, P1 aWitteman, Jacqueline, C M1 aHartikainen, Anna-Liisa1 aBeckmann, Jacques, S1 aBoerwinkle, Eric1 aVasan, Ramachandran, S1 aBoehnke, Michael1 aLarson, Martin, G1 aJarvelin, Marjo-Riitta1 aPsaty, Bruce, M1 aAbecasis, Goncalo, R1 aChakravarti, Aravinda1 aElliott, Paul1 aDuijn, Cornelia, M1 aNewton-Cheh, Christopher1 aLevy, Daniel1 aCaulfield, Mark, J1 aJohnson, Toby1 aCARDIoGRAM consortium1 aCKDGen Consortium1 aKidneyGen Consortium1 aEchoGen consortium1 aCHARGE-HF consortium uhttps://chs-nhlbi.org/node/132502615nas a2200481 4500008004100000022001400041245014100055210006900196260001300265300001300278490000600291520118600297653002701483653001901510653001101529653001901540653001701559653001801576653003401594653001301628653001101641653002101652653003801673653001101711653002201722653002001744653003101764653003601795653001301831653003001844100002101874700002001895700001601915700001901931700001901950700001901969700001901988700002402007700001802031700002502049700002302074856003602097 2011 eng d a1553-740400aGenome-wide association analysis of soluble ICAM-1 concentration reveals novel associations at the NFKBIK, PNPLA3, RELA, and SH2B3 loci.0 aGenomewide association analysis of soluble ICAM1 concentration r c2011 Apr ae10013740 v73 aSoluble ICAM-1 (sICAM-1) is an endothelium-derived inflammatory marker that has been associated with diverse conditions such as myocardial infarction, diabetes, stroke, and malaria. Despite evidence for a heritable component to sICAM-1 levels, few genetic loci have been identified so far. To comprehensively address this issue, we performed a genome-wide association analysis of sICAM-1 concentration in 22,435 apparently healthy women from the Women's Genome Health Study. While our results confirm the previously reported associations at the ABO and ICAM1 loci, four novel associations were identified in the vicinity of NFKBIK (rs3136642, P = 5.4 × 10(-9)), PNPLA3 (rs738409, P = 5.8 × 10(-9)), RELA (rs1049728, P = 2.7 × 10(-16)), and SH2B3 (rs3184504, P = 2.9 × 10(-17)). Two loci, NFKBIB and RELA, are involved in NFKB signaling pathway; PNPLA3 is known for its association with fatty liver disease; and SH3B2 has been associated with a multitude of traits and disease including myocardial infarction. These associations provide insights into the genetic regulation of sICAM-1 levels and implicate these loci in the regulation of endothelial function.
10aABO Blood-Group System10aCohort Studies10aFemale10aGene Frequency10aGenetic Loci10aGenome, Human10aGenome-Wide Association Study10aGenotype10aHumans10aI-kappa B Kinase10aIntercellular Adhesion Molecule-110aLipase10aMembrane Proteins10aModels, Genetic10aMultifactorial Inheritance10aPolymorphism, Single Nucleotide10aProteins10aTranscription Factor RelA1 aParé, Guillaume1 aRidker, Paul, M1 aRose, Lynda1 aBarbalic, Maja1 aDupuis, Josée1 aDehghan, Abbas1 aBis, Joshua, C1 aBenjamin, Emelia, J1 aShiffman, Dov1 aParker, Alexander, N1 aChasman, Daniel, I uhttps://chs-nhlbi.org/node/128704122nas a2201045 4500008004100000022001400041245014200055210006900197260001300266300001300279490000600292520107900298653001001377653000901387653001201396653003101408653002701439653004001466653001101506653001701517653003801534653003401572653001101606653000901617653001601626653002701642653003601669100001901705700002101724700002201745700002901767700002201796700002101818700002901839700002201868700002301890700002301913700002501936700002301961700002901984700002302013700002202036700001502058700001902073700002002092700002602112700001902138700003002157700002802187700002102215700001702236700002402253700002302277700001902300700002002319700002202339700001602361700001702377700002302394700001202417700001902429700001702448700002102465700001802486700002002504700002002524700002502544700002202569700002402591700001902615700002102634700002202655700002502677700001802702700001802720700002502738700002302763700002402786700003002810700002302840700001802863700002702881700001802908700002502926700002602951700001902977700002302996700002103019856003603040 2011 eng d a1553-740400aIdentification of a sudden cardiac death susceptibility locus at 2q24.2 through genome-wide association in European ancestry individuals.0 aIdentification of a sudden cardiac death susceptibility locus at c2011 Jun ae10021580 v73 aSudden cardiac death (SCD) continues to be one of the leading causes of mortality worldwide, with an annual incidence estimated at 250,000-300,000 in the United States and with the vast majority occurring in the setting of coronary disease. We performed a genome-wide association meta-analysis in 1,283 SCD cases and >20,000 control individuals of European ancestry from 5 studies, with follow-up genotyping in up to 3,119 SCD cases and 11,146 controls from 11 European ancestry studies, and identify the BAZ2B locus as associated with SCD (P = 1.8×10(-10)). The risk allele, while ancestral, has a frequency of ~1.4%, suggesting strong negative selection and increases risk for SCD by 1.92-fold per allele (95% CI 1.57-2.34). We also tested the role of 49 SNPs previously implicated in modulating electrocardiographic traits (QRS, QT, and RR intervals). Consistent with epidemiological studies showing increased risk of SCD with prolonged QRS/QT intervals, the interval-prolonging alleles are in aggregate associated with increased risk for SCD (P = 0.006).
10aAdult10aAged10aAlleles10aChromosomes, Human, Pair 210aDeath, Sudden, Cardiac10aEuropean Continental Ancestry Group10aFemale10aGenetic Loci10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aHumans10aMale10aMiddle Aged10aMyocardial Contraction10aPolymorphism, Single Nucleotide1 aArking, Dan, E1 aJunttila, Juhani1 aGoyette, Philippe1 aHuertas-Vazquez, Adriana1 aEijgelsheim, Mark1 aBlom, Marieke, T1 aNewton-Cheh, Christopher1 aReinier, Kyndaron1 aTeodorescu, Carmen1 aUy-Evanado, Audrey1 aCarter-Monroe, Naima1 aKaikkonen, Kari, S1 aKortelainen, Marja-Leena1 aBoucher, Gabrielle1 aLagacé, Caroline1 aMoes, Anna1 aZhao, XiaoQing1 aKolodgie, Frank1 aRivadeneira, Fernando1 aHofman, Albert1 aWitteman, Jacqueline, C M1 aUitterlinden, André, G1 aMarsman, Roos, F1 aPazoki, Raha1 aBardai, Abdennasser1 aKoster, Rudolph, W1 aDehghan, Abbas1 aHwang, Shih-Jen1 aBhatnagar, Pallav1 aPost, Wendy1 aHilton, Gina1 aPrineas, Ronald, J1 aLi, Man1 aKöttgen, Anna1 aEhret, Georg1 aBoerwinkle, Eric1 aCoresh, Josef1 aKao, Linda, W H1 aPsaty, Bruce, M1 aTomaselli, Gordon, F1 aSotoodehnia, Nona1 aSiscovick, David, S1 aBurke, Greg, L1 aMarbán, Eduardo1 aSpooner, Peter, M1 aCupples, Adrienne, L1 aJui, Jonathan1 aGunson, Karen1 aKesaniemi, Antero, Y1 aWilde, Arthur, A M1 aTardif, Jean-Claude1 aO'Donnell, Christopher, J1 aBezzina, Connie, R1 aVirmani, Renu1 aStricker, Bruno, H C H1 aTan, Hanno, L1 aAlbert, Christine, M1 aChakravarti, Aravinda1 aRioux, John, D1 aHuikuri, Heikki, V1 aChugh, Sumeet, S uhttps://chs-nhlbi.org/node/130405459nas 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/126707377nas a2201945 4500008004100000022001400041245014700055210006900202260001600271300001100287490000600298520192200304653001002226653001602236653000902252653002202261653001202283653002502295653003102320653001902351653004202370653001102412653003402423653001302457653001902470653001102489653002002500653000902520653001602529653003302545653001402578653003602592653001702628653001602645100002402661700002202685700002002707700001602727700002102743700001702764700002002781700002002801700002002821700001902841700001702860700002202877700002302899700002502922700001702947700002202964700002502986700002003011700001903031700002303050700002203073700001903095700002103114700001803135700002203153700001503175700002203190700002203212700002003234700002503254700002103279700002403300700001603324700001803340700002703358700002103385700002503406700001903431700001803450700002603468700002103494700002303515700001903538700002403557700002503581700002003606700001803626700003003644700002203674700002003696700002103716700002203737700001903759700002003778700001803798700002403816700001903840700001903859700001803878700002703896700001803923700002303941700002803964700002103992700001604013700001904029700001704048700002304065700001804088700002104106700001804127700002004145700001804165700002904183700002104212700002004233700003004253700001904283700002304302700002304325700001904348700002004367700002104387700001404408700002604422700002204448700002204470700002204492700002104514700002004535700002604555700002804581700001904609700002304628700001904651700002104670700002004691700001804711700002204729700001604751700002904767700002404796700002104820700002004841700001904861700002504880700002204905700002404927700002504951700001704976700002004993700002005013700001905033700001605052700002305068700002005091700002305111700001705134700002005151700002205171700002105193700003005214700001705244700002205261700002305283700002105306700001905327700002505346700002405371856003605395 2012 eng d a1942-326800aAssociation between chromosome 9p21 variants and the ankle-brachial index identified by a meta-analysis of 21 genome-wide association studies.0 aAssociation between chromosome 9p21 variants and the anklebrachi c2012 Feb 01 a100-120 v53 aBACKGROUND: Genetic determinants of peripheral arterial disease (PAD) remain largely unknown. To identify genetic variants associated with the ankle-brachial index (ABI), a noninvasive measure of PAD, we conducted a meta-analysis of genome-wide association study data from 21 population-based cohorts.
METHODS AND RESULTS: Continuous ABI and PAD (ABI ≤0.9) phenotypes adjusted for age and sex were examined. Each study conducted genotyping and imputed data to the ≈2.5 million single nucleotide polymorphisms (SNPs) in HapMap. Linear and logistic regression models were used to test each SNP for association with ABI and PAD using additive genetic models. Study-specific data were combined using fixed effects inverse variance weighted meta-analyses. There were a total of 41 692 participants of European ancestry (≈60% women, mean ABI 1.02 to 1.19), including 3409 participants with PAD and with genome-wide association study data available. In the discovery meta-analysis, rs10757269 on chromosome 9 near CDKN2B had the strongest association with ABI (β=-0.006, P=2.46×10(-8)). We sought replication of the 6 strongest SNP associations in 5 population-based studies and 3 clinical samples (n=16 717). The association for rs10757269 strengthened in the combined discovery and replication analysis (P=2.65×10(-9)). No other SNP associations for ABI or PAD achieved genome-wide significance. However, 2 previously reported candidate genes for PAD and 1 SNP associated with coronary artery disease were associated with ABI: DAB21P (rs13290547, P=3.6×10(-5)), CYBA (rs3794624, P=6.3×10(-5)), and rs1122608 (LDLR, P=0.0026).
CONCLUSIONS: Genome-wide association studies in more than 40 000 individuals identified 1 genome wide significant association on chromosome 9p21 with ABI. Two candidate genes for PAD and 1 SNP for coronary artery disease are associated with ABI.
10aAdult10aAge Factors10aAged10aAged, 80 and over10aAlleles10aAnkle Brachial Index10aChromosomes, Human, Pair 910aCohort Studies10aCyclin-Dependent Kinase Inhibitor p1510aFemale10aGenome-Wide Association Study10aGenotype10aHapMap Project10aHumans10aLogistic Models10aMale10aMiddle Aged10aPeripheral Vascular Diseases10aPhenotype10aPolymorphism, Single Nucleotide10aRisk Factors10aSex Factors1 aMurabito, Joanne, M1 aWhite, Charles, C1 aKavousi, Maryam1 aSun, Yan, V1 aFeitosa, Mary, F1 aNambi, Vijay1 aLamina, Claudia1 aSchillert, Arne1 aCoassin, Stefan1 aBis, Joshua, C1 aBroer, Linda1 aCrawford, Dana, C1 aFranceschini, Nora1 aFrikke-Schmidt, Ruth1 aHaun, Margot1 aHolewijn, Suzanne1 aHuffman, Jennifer, E1 aHwang, Shih-Jen1 aKiechl, Stefan1 aKollerits, Barbara1 aMontasser, May, E1 aNolte, Ilja, M1 aRudock, Megan, E1 aSenft, Andrea1 aTeumer, Alexander1 aHarst, Pim1 aVitart, Veronique1 aWaite, Lindsay, L1 aWood, Andrew, R1 aWassel, Christina, L1 aAbsher, Devin, M1 aAllison, Matthew, A1 aAmin, Najaf1 aArnold, Alice1 aAsselbergs, Folkert, W1 aAulchenko, Yurii1 aBandinelli, Stefania1 aBarbalic, Maja1 aBoban, Mladen1 aBrown-Gentry, Kristin1 aCouper, David, J1 aCriqui, Michael, H1 aDehghan, Abbas1 aHeijer, Martin, den1 aDieplinger, Benjamin1 aDing, Jingzhong1 aDörr, Marcus1 aEspinola-Klein, Christine1 aFelix, Stephan, B1 aFerrucci, Luigi1 aFolsom, Aaron, R1 aFraedrich, Gustav1 aGibson, Quince1 aGoodloe, Robert1 aGunjaca, Grgo1 aHaltmayer, Meinhard1 aHeiss, Gerardo1 aHofman, Albert1 aKieback, Arne1 aKiemeney, Lambertus, A1 aKolcic, Ivana1 aKullo, Iftikhar, J1 aKritchevsky, Stephen, B1 aLackner, Karl, J1 aLi, Xiaohui1 aLieb, Wolfgang1 aLohman, Kurt1 aMeisinger, Christa1 aMelzer, David1 aMohler, Emile, R1 aMudnic, Ivana1 aMueller, Thomas1 aNavis, Gerjan1 aOberhollenzer, Friedrich1 aOlin, Jeffrey, W1 aO'Connell, Jeff1 aO'Donnell, Christopher, J1 aPalmas, Walter1 aPenninx, Brenda, W1 aPetersmann, Astrid1 aPolasek, Ozren1 aPsaty, Bruce, M1 aRantner, Barbara1 aRice, Ken1 aRivadeneira, Fernando1 aRotter, Jerome, I1 aSeldenrijk, Adrie1 aStadler, Marietta1 aSummerer, Monika1 aTanaka, Toshiko1 aTybjaerg-Hansen, Anne1 aUitterlinden, André, G1 aGilst, Wiek, H1 aVermeulen, Sita, H1 aWild, Sarah, H1 aWild, Philipp, S1 aWilleit, Johann1 aZeller, Tanja1 aZemunik, Tatijana1 aZgaga, Lina1 aAssimes, Themistocles, L1 aBlankenberg, Stefan1 aBoerwinkle, Eric1 aCampbell, Harry1 aCooke, John, P1 ade Graaf, Jacqueline1 aHerrington, David1 aKardia, Sharon, L R1 aMitchell, Braxton, D1 aMurray, Anna1 aMünzel, Thomas1 aNewman, Anne, B1 aOostra, Ben, A1 aRudan, Igor1 aShuldiner, Alan, R1 aSnieder, Harold1 aDuijn, Cornelia, M1 aVölker, Uwe1 aWright, Alan, F1 aWichmann, H-Erich1 aWilson, James, F1 aWitteman, Jacqueline, C M1 aLiu, Yongmei1 aHayward, Caroline1 aBorecki, Ingrid, B1 aZiegler, Andreas1 aNorth, Kari, E1 aCupples, Adrienne, L1 aKronenberg, Florian uhttps://chs-nhlbi.org/node/135904113nas 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/134107422nas a2202413 4500008004100000022001400041245009100055210006900146260000900215300001300224490000600237520076400243653002201007653000901029653001201038653001401050653002901064653002701093653001801120653004001138653001101178653002201189653003001211653003401241653003101275653001101306653001101317653002801328653000901356653001601365653003401381653001401415100002201429700001901451700002201470700001901492700002301511700002701534700002001561700002001581700001801601700001901619700001201638700001601650700002001666700001601686700002501702700002401727700002601751700001901777700001801796700001801814700002101832700002601853700002301879700002001902700001201922700002301934700002201957700001801979700002001997700002702017700001702044700002502061700001902086700001802105700001902123700002202142700002702164700002102191700002102212700002202233700001602255700002202271700001802293700001902311700002102330700002002351700001902371700002302390700002002413700002202433700002202455700001902477700002402496700002502520700002102545700002002566700002602586700002002612700001702632700001902649700001902668700002302687700002302710700002002733700002502753700002302778700002102801700001802822700002002840700002202860700001802882700002202900700001802922700002102940700002402961700001602985700001903001700001903020700002003039700002003059700002203079700002003101700001903121700001903140700002203159700001903181700001803200700002103218700002003239700002003259700001703279700001903296700001803315700002203333700001803355700001903373700002803392700002603420700002403446700001903470700001703489700002203506700002203528700001903550700002203569700001903591700002003610700001903630700002203649700002203671700002003693700001903713700001603732700002303748700002303771700002503794700001803819700001403837700002403851700001703875700002103892700002403913700001703937700001703954700001903971700001903990700001904009700001904028700002404047700002004071700002104091700001804112700002104130700001904151700001904170700002904189700002404218700002104242700002404263700002304287700001804310700002204328700002004350700002404370700002304394700002004417700002404437700001704461700002004478700001604498700002004514700002104534700001804555700002604573700001904599700002104618700003004639700002204669700001704691700001804708700002104726700001804747700002304765700002304788700002004811700002104831710002604852710002004878710002004898710005404918856003604972 2012 eng d a1553-740400aGenome-wide association and functional follow-up reveals new loci for kidney function.0 aGenomewide association and functional followup reveals new loci c2012 ae10025840 v83 aChronic kidney disease (CKD) is an important public health problem with a genetic component. We performed genome-wide association studies in up to 130,600 European ancestry participants overall, and stratified for key CKD risk factors. We uncovered 6 new loci in association with estimated glomerular filtration rate (eGFR), the primary clinical measure of CKD, in or near MPPED2, DDX1, SLC47A1, CDK12, CASP9, and INO80. Morpholino knockdown of mpped2 and casp9 in zebrafish embryos revealed podocyte and tubular abnormalities with altered dextran clearance, suggesting a role for these genes in renal function. By providing new insights into genes that regulate renal function, these results could further our understanding of the pathogenesis of CKD.
10aAfrican Americans10aAged10aAnimals10aCaspase 910aCyclin-Dependent Kinases10aDEAD-box RNA Helicases10aDNA Helicases10aEuropean Continental Ancestry Group10aFemale10aFollow-Up Studies10aGene Knockdown Techniques10aGenome-Wide Association Study10aGlomerular Filtration Rate10aHumans10aKidney10aKidney Failure, Chronic10aMale10aMiddle Aged10aPhosphoric Diester Hydrolases10aZebrafish1 aPattaro, Cristian1 aKöttgen, Anna1 aTeumer, Alexander1 aGarnaas, Maija1 aBöger, Carsten, A1 aFuchsberger, Christian1 aOlden, Matthias1 aChen, Ming-Huei1 aTin, Adrienne1 aTaliun, Daniel1 aLi, Man1 aGao, Xiaoyi1 aGorski, Mathias1 aYang, Qiong1 aHundertmark, Claudia1 aFoster, Meredith, C1 aO'Seaghdha, Conall, M1 aGlazer, Nicole1 aIsaacs, Aaron1 aLiu, Ching-Ti1 aSmith, Albert, V1 aO'Connell, Jeffrey, R1 aStruchalin, Maksim1 aTanaka, Toshiko1 aLi, Guo1 aJohnson, Andrew, D1 aGierman, Hinco, J1 aFeitosa, Mary1 aHwang, Shih-Jen1 aAtkinson, Elizabeth, J1 aLohman, Kurt1 aCornelis, Marilyn, C1 aJohansson, Asa1 aTönjes, Anke1 aDehghan, Abbas1 aChouraki, Vincent1 aHolliday, Elizabeth, G1 aSorice, Rossella1 aKutalik, Zoltán1 aLehtimäki, Terho1 aEsko, Tõnu1 aDeshmukh, Harshal1 aUlivi, Sheila1 aChu, Audrey, Y1 aMurgia, Federico1 aTrompet, Stella1 aImboden, Medea1 aKollerits, Barbara1 aPistis, Giorgio1 aHarris, Tamara, B1 aLauner, Lenore, J1 aAspelund, Thor1 aEiriksdottir, Gudny1 aMitchell, Braxton, D1 aBoerwinkle, Eric1 aSchmidt, Helena1 aCavalieri, Margherita1 aRao, Madhumathi1 aHu, Frank, B1 aDemirkan, Ayse1 aOostra, Ben, A1 ade Andrade, Mariza1 aTurner, Stephen, T1 aDing, Jingzhong1 aAndrews, Jeanette, S1 aFreedman, Barry, I1 aKoenig, Wolfgang1 aIllig, Thomas1 aDöring, Angela1 aWichmann, H-Erich1 aKolcic, Ivana1 aZemunik, Tatijana1 aBoban, Mladen1 aMinelli, Cosetta1 aWheeler, Heather, E1 aIgl, Wilmar1 aZaboli, Ghazal1 aWild, Sarah, H1 aWright, Alan, F1 aCampbell, Harry1 aEllinghaus, David1 aNöthlings, Ute1 aJacobs, Gunnar1 aBiffar, Reiner1 aEndlich, Karlhans1 aErnst, Florian1 aHomuth, Georg1 aKroemer, Heyo, K1 aNauck, Matthias1 aStracke, Sylvia1 aVölker, Uwe1 aVölzke, Henry1 aKovacs, Peter1 aStumvoll, Michael1 aMägi, Reedik1 aHofman, Albert1 aUitterlinden, André, G1 aRivadeneira, Fernando1 aAulchenko, Yurii, S1 aPolasek, Ozren1 aHastie, Nick1 aVitart, Veronique1 aHelmer, Catherine1 aWang, Jie, Jin1 aRuggiero, Daniela1 aBergmann, Sven1 aKähönen, Mika1 aViikari, Jorma1 aNikopensius, Tiit1 aProvince, Michael1 aKetkar, Shamika1 aColhoun, Helen1 aDoney, Alex1 aRobino, Antonietta1 aGiulianini, Franco1 aKrämer, Bernhard, K1 aPortas, Laura1 aFord, Ian1 aBuckley, Brendan, M1 aAdam, Martin1 aThun, Gian-Andri1 aPaulweber, Bernhard1 aHaun, Margot1 aSala, Cinzia1 aMetzger, Marie1 aMitchell, Paul1 aCiullo, Marina1 aKim, Stuart, K1 aVollenweider, Peter1 aRaitakari, Olli1 aMetspalu, Andres1 aPalmer, Colin1 aGasparini, Paolo1 aPirastu, Mario1 aJukema, Wouter1 aProbst-Hensch, Nicole, M1 aKronenberg, Florian1 aToniolo, Daniela1 aGudnason, Vilmundur1 aShuldiner, Alan, R1 aCoresh, Josef1 aSchmidt, Reinhold1 aFerrucci, Luigi1 aSiscovick, David, S1 aDuijn, Cornelia, M1 aBorecki, Ingrid1 aKardia, Sharon, L R1 aLiu, Yongmei1 aCurhan, Gary, C1 aRudan, Igor1 aGyllensten, Ulf1 aWilson, James, F1 aFranke, Andre1 aPramstaller, Peter, P1 aRettig, Rainer1 aProkopenko, Inga1 aWitteman, Jacqueline, C M1 aHayward, Caroline1 aRidker, Paul1 aParsa, Afshin1 aBochud, Murielle1 aHeid, Iris, M1 aGoessling, Wolfram1 aChasman, Daniel, I1 aKao, Linda, W H1 aFox, Caroline, S1 aCARDIoGRAM consortium1 aICBP Consortium1 aCARe Consortium1 aWellcome Trust Case Control Consortium 2 (WTCCC2) uhttps://chs-nhlbi.org/node/137705960nas a2201525 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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/608921848nas a2207177 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2012 eng d a1553-740400aNovel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals.0 aNovel loci for adiponectin levels and their influence on type 2 c2012 ae10026070 v83 aCirculating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes mellitus (T2D) and other metabolic traits. We conducted a meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease. We identified 8 novel loci associated with adiponectin levels and confirmed 2 previously reported loci (P = 4.5×10(-8)-1.2×10(-43)). Using a novel method to combine data across ethnicities (N = 4,232 African Americans, N = 1,776 Asians, and N = 29,347 Europeans), we identified two additional novel loci. Expression analyses of 436 human adipocyte samples revealed that mRNA levels of 18 genes at candidate regions were associated with adiponectin concentrations after accounting for multiple testing (p<3×10(-4)). We next developed a multi-SNP genotypic risk score to test the association of adiponectin decreasing risk alleles on metabolic traits and diseases using consortia-level meta-analytic data. This risk score was associated with increased risk of T2D (p = 4.3×10(-3), n = 22,044), increased triglycerides (p = 2.6×10(-14), n = 93,440), increased waist-to-hip ratio (p = 1.8×10(-5), n = 77,167), increased glucose two hours post oral glucose tolerance testing (p = 4.4×10(-3), n = 15,234), increased fasting insulin (p = 0.015, n = 48,238), but with lower in HDL-cholesterol concentrations (p = 4.5×10(-13), n = 96,748) and decreased BMI (p = 1.4×10(-4), n = 121,335). These findings identify novel genetic determinants of adiponectin levels, which, taken together, influence risk of T2D and markers of insulin resistance.
10aAdiponectin10aAfrican Americans10aAsian Continental Ancestry Group10aCholesterol, HDL10aDiabetes Mellitus, Type 210aEuropean Continental Ancestry Group10aFemale10aGene Expression10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aGlucose Tolerance Test10aHumans10aInsulin Resistance10aMale10aMetabolic Networks and Pathways10aPolymorphism, Single Nucleotide10aWaist-Hip Ratio1 aDastani, Zari1 aHivert, Marie-France1 aTimpson, Nicholas1 aPerry, John, R B1 aYuan, Xin1 aScott, Robert, A1 aHenneman, Peter1 aHeid, Iris, M1 aKizer, Jorge, R1 aLyytikäinen, Leo-Pekka1 aFuchsberger, Christian1 aTanaka, Toshiko1 aMorris, Andrew, P1 aSmall, Kerrin1 aIsaacs, Aaron1 aBeekman, Marian1 aCoassin, Stefan1 aLohman, Kurt1 aQi, Lu1 aKanoni, Stavroula1 aPankow, James, S1 aUh, Hae-Won1 aWu, Ying1 aBidulescu, Aurelian1 aRasmussen-Torvik, Laura, J1 aGreenwood, Celia, M T1 aLadouceur, Martin1 aGrimsby, Jonna1 aManning, Alisa, K1 aLiu, Ching-Ti1 aKooner, Jaspal1 aMooser, Vincent, E1 aVollenweider, Peter1 aKapur, Karen, A1 aChambers, John1 aWareham, Nicholas, J1 aLangenberg, Claudia1 aFrants, Rune1 aWillems-Vandijk, Ko1 aOostra, Ben, A1 aWillems, Sara, M1 aLamina, Claudia1 aWinkler, Thomas, W1 aPsaty, Bruce, M1 aTracy, Russell, P1 aBrody, Jennifer1 aChen, Ida1 aViikari, Jorma1 aKähönen, Mika1 aPramstaller, Peter, P1 aEvans, David, M1 aSt Pourcain, Beate1 aSattar, Naveed1 aWood, Andrew, R1 aBandinelli, Stefania1 aCarlson, Olga, D1 aEgan, Josephine, M1 aBöhringer, Stefan1 avan Heemst, Diana1 aKedenko, Lyudmyla1 aKristiansson, Kati1 aNuotio, Marja-Liisa1 aLoo, Britt-Marie1 aHarris, Tamara1 aGarcia, Melissa1 aKanaya, Alka1 aHaun, Margot1 aKlopp, Norman1 aWichmann, H-Erich1 aDeloukas, Panos1 aKatsareli, Efi1 aCouper, David, J1 aDuncan, Bruce, B1 aKloppenburg, Margreet1 aAdair, Linda, S1 aBorja, Judith, B1 aWilson, James, G1 aMusani, Solomon1 aGuo, Xiuqing1 aJohnson, Toby1 aSemple, Robert1 aTeslovich, Tanya, M1 aAllison, Matthew, A1 aRedline, Susan1 aBuxbaum, Sarah, G1 aMohlke, Karen, L1 aMeulenbelt, Ingrid1 aBallantyne, Christie, M1 aDedoussis, George, V1 aHu, Frank, B1 aLiu, Yongmei1 aPaulweber, Bernhard1 aSpector, Timothy, D1 aSlagboom, Eline1 aFerrucci, Luigi1 aJula, Antti1 aPerola, Markus1 aRaitakari, Olli1 aFlorez, Jose, C1 aSalomaa, Veikko1 aEriksson, Johan, G1 aFrayling, Timothy, M1 aHicks, Andrew, A1 aLehtimäki, Terho1 aSmith, George Davey1 aSiscovick, David, S1 aKronenberg, Florian1 aDuijn, Cornelia1 aLoos, Ruth, J F1 aWaterworth, Dawn, M1 aMeigs, James, B1 aDupuis, Josée1 aRichards, Brent1 aVoight, Benjamin, F1 aScott, Laura, J1 aSteinthorsdottir, Valgerdur1 aDina, Christian1 aWelch, Ryan, P1 aZeggini, Eleftheria1 aHuth, Cornelia1 aAulchenko, Yurii, S1 aThorleifsson, Gudmar1 aMcCulloch, Laura, J1 aFerreira, Teresa1 aGrallert, Harald1 aAmin, Najaf1 aWu, Guanming1 aWiller, Cristen, J1 aRaychaudhuri, Soumya1 aMcCarroll, Steve, A1 aHofmann, Oliver, M1 aSegrè, Ayellet, V1 aHoek, Mandy1 aNavarro, Pau1 aArdlie, Kristin1 aBalkau, Beverley1 aBenediktsson, Rafn1 aBennett, Amanda, J1 aBlagieva, Roza1 aBoerwinkle, Eric1 aBonnycastle, Lori, L1 aBoström, Kristina, Bengtsson1 aBravenboer, Bert1 aBumpstead, Suzannah1 aBurtt, Noel, P1 aCharpentier, Guillaume1 aChines, Peter, S1 aCornelis, Marilyn1 aCrawford, Gabe1 aDoney, Alex, S F1 aElliott, Katherine, S1 aElliott, Amanda, L1 aErdos, Michael, R1 aFox, Caroline, S1 aFranklin, Christopher, S1 aGanser, Martha1 aGieger, Christian1 aGrarup, Niels1 aGreen, Todd1 aGriffin, Simon1 aGroves, Christopher, J1 aGuiducci, Candace1 aHadjadj, Samy1 aHassanali, Neelam1 aHerder, Christian1 aIsomaa, Bo1 aJackson, Anne, U1 aJohnson, Paul, R V1 aJørgensen, Torben1 aKao, Wen, H L1 aKong, Augustine1 aKraft, Peter1 aKuusisto, Johanna1 aLauritzen, Torsten1 aLi, Man1 aLieverse, Aloysius1 aLindgren, Cecilia, M1 aLyssenko, Valeriya1 aMarre, Michel1 aMeitinger, Thomas1 aMidthjell, Kristian1 aMorken, Mario, A1 aNarisu, Narisu1 aNilsson, Peter1 aOwen, Katharine, R1 aPayne, Felicity1 aPetersen, Ann-Kristin1 aPlatou, Carl1 aProença, Christine1 aProkopenko, Inga1 aRathmann, Wolfgang1 aRayner, William1 aRobertson, Neil, R1 aRocheleau, Ghislain1 aRoden, Michael1 aSampson, Michael, J1 aSaxena, Richa1 aShields, Beverley, M1 aShrader, Peter1 aSigurdsson, Gunnar1 aSparsø, Thomas1 aStrassburger, Klaus1 aStringham, Heather, M1 aSun, Qi1 aSwift, Amy, J1 aThorand, Barbara1 aTichet, Jean1 aTuomi, Tiinamaija1 avan Dam, Rob, M1 avan Haeften, Timon, W1 avan Herpt, Thijs1 avan Vliet-Ostaptchouk, Jana, V1 aWalters, Bragi, G1 aWeedon, Michael, N1 aWijmenga, Cisca1 aWitteman, Jacqueline1 aBergman, Richard, N1 aCauchi, Stephane1 aCollins, Francis, S1 aGloyn, Anna, L1 aGyllensten, Ulf1 aHansen, Torben1 aHide, Winston, A1 aHitman, Graham, A1 aHofman, Albert1 aHunter, David, J1 aHveem, Kristian1 aLaakso, Markku1 aMorris, Andrew, D1 aPalmer, Colin, N A1 aRudan, Igor1 aSijbrands, Eric1 aStein, Lincoln, D1 aTuomilehto, Jaakko1 aUitterlinden, Andre1 aWalker, Mark1 aWatanabe, Richard, M1 aAbecasis, Goncalo, R1 aBoehm, Bernhard, O1 aCampbell, Harry1 aDaly, Mark, J1 aHattersley, Andrew, T1 aPedersen, Oluf1 aBarroso, Inês1 aGroop, Leif1 aSladek, Rob1 aThorsteinsdottir, Unnur1 aWilson, James, F1 aIllig, Thomas1 aFroguel, Philippe1 aDuijn, Cornelia, M1 aStefansson, Kari1 aAltshuler, David1 aBoehnke, Michael1 aMcCarthy, Mark, I1 aSoranzo, Nicole1 aWheeler, Eleanor1 aGlazer, Nicole, L1 aBouatia-Naji, Nabila1 aMägi, Reedik1 aRandall, Joshua1 aElliott, Paul1 aRybin, Denis1 aDehghan, Abbas1 aHottenga, Jouke Jan1 aSong, Kijoung1 aGoel, Anuj1 aLajunen, Taina1 aDoney, Alex1 aCavalcanti-Proença, Christine1 aKumari, Meena1 aTimpson, Nicholas, J1 aZabena, Carina1 aIngelsson, Erik1 aAn, Ping1 aO'Connell, Jeffrey1 aLuan, Jian'an1 aElliott, Amanda1 aMcCarroll, Steven, A1 aRoccasecca, Rosa Maria1 aPattou, François1 aSethupathy, Praveen1 aAriyurek, Yavuz1 aBarter, Philip1 aBeilby, John, P1 aBen-Shlomo, Yoav1 aBergmann, Sven1 aBochud, Murielle1 aBonnefond, Amélie1 aBorch-Johnsen, Knut1 aBöttcher, Yvonne1 aBrunner, Eric1 aBumpstead, Suzannah, J1 aChen, Yii-Der Ida1 aChines, Peter1 aClarke, Robert1 aCoin, Lachlan, J M1 aCooper, Matthew, N1 aCrisponi, Laura1 aDay, Ian, N M1 aGeus, Eco, J C1 aDelplanque, Jerome1 aFedson, Annette, C1 aFischer-Rosinsky, Antje1 aForouhi, Nita, G1 aFranzosi, Maria Grazia1 aGalan, Pilar1 aGoodarzi, Mark, O1 aGraessler, Jürgen1 aGrundy, Scott1 aGwilliam, Rhian1 aHallmans, Göran1 aHammond, Naomi1 aHan, Xijing1 aHartikainen, Anna-Liisa1 aHayward, Caroline1 aHeath, Simon, C1 aHercberg, Serge1 aHillman, David, R1 aHingorani, Aroon, D1 aHui, Jennie1 aHung, Joe1 aKaakinen, Marika1 aKaprio, Jaakko1 aKesaniemi, Antero, Y1 aKivimaki, Mika1 aKnight, Beatrice1 aKoskinen, Seppo1 aKovacs, Peter1 aKyvik, Kirsten Ohm1 aLathrop, Mark, G1 aLawlor, Debbie, A1 aLe Bacquer, Olivier1 aLecoeur, Cécile1 aLi, Yun1 aMahley, Robert1 aMangino, Massimo1 aMartínez-Larrad, María Teresa1 aMcAteer, Jarred, B1 aMcPherson, Ruth1 aMeisinger, Christa1 aMelzer, David1 aMeyre, David1 aMitchell, Braxton, D1 aMukherjee, Sutapa1 aNaitza, Silvia1 aNeville, Matthew, J1 aOrrù, Marco1 aPakyz, Ruth1 aPaolisso, Giuseppe1 aPattaro, Cristian1 aPearson, Daniel1 aPeden, John, F1 aPedersen, Nancy, L1 aPfeiffer, Andreas, F H1 aPichler, Irene1 aPolasek, Ozren1 aPosthuma, Danielle1 aPotter, Simon, C1 aPouta, Anneli1 aProvince, Michael, A1 aRayner, Nigel, W1 aRice, Kenneth1 aRipatti, Samuli1 aRivadeneira, Fernando1 aRolandsson, Olov1 aSandbaek, Annelli1 aSandhu, Manjinder1 aSanna, Serena1 aSayer, Avan Aihie1 aScheet, Paul1 aSeedorf, Udo1 aSharp, Stephen, J1 aShields, Beverley1 aSigurðsson, Gunnar1 aSijbrands, Eric, J G1 aSilveira, Angela1 aSimpson, Laila1 aSingleton, Andrew1 aSmith, Nicholas, L1 aSovio, Ulla1 aSwift, Amy1 aSyddall, Holly1 aSyvänen, Ann-Christine1 aTönjes, Anke1 aUitterlinden, André, G1 aDijk, Ko Willems1 aVarma, Dhiraj1 aVisvikis-Siest, Sophie1 aVitart, Veronique1 aVogelzangs, Nicole1 aWaeber, Gérard1 aWagner, Peter, J1 aWalley, Andrew1 aWard, Kim, L1 aWatkins, Hugh1 aWild, Sarah, H1 aWillemsen, Gonneke1 aWitteman, Jaqueline, C M1 aYarnell, John, W G1 aZelenika, Diana1 aZethelius, Björn1 aZhai, Guangju1 aZhao, Jing Hua1 aZillikens, Carola, M1 aBorecki, Ingrid, B1 aMeneton, Pierre1 aMagnusson, Patrik, K E1 aNathan, David, M1 aWilliams, Gordon, H1 aSilander, Kaisa1 aBornstein, Stefan, R1 aSchwarz, Peter1 aSpranger, Joachim1 aKarpe, Fredrik1 aShuldiner, Alan, R1 aCooper, Cyrus1 aSerrano-Ríos, Manuel1 aLind, Lars1 aPalmer, Lyle, J1 aHu, Frank, B1 aFranks, Paul, W1 aEbrahim, Shah1 aMarmot, Michael1 aKao, Linda, W H1 aPramstaller, Peter Paul1 aWright, Alan, F1 aStumvoll, Michael1 aHamsten, Anders1 aBuchanan, Thomas, A1 aValle, Timo, T1 aRotter, Jerome, I1 aPenninx, Brenda, W J H1 aBoomsma, Dorret, I1 aCao, Antonio1 aScuteri, Angelo1 aSchlessinger, David1 aUda, Manuela1 aRuokonen, Aimo1 aJarvelin, Marjo-Riitta1 aPeltonen, Leena1 aMooser, Vincent1 aSladek, Robert1 aMusunuru, Kiran1 aSmith, Albert, V1 aEdmondson, Andrew, C1 aStylianou, Ioannis, M1 aKoseki, Masahiro1 aPirruccello, James, P1 aChasman, Daniel, I1 aJohansen, Christopher, T1 aFouchier, Sigrid, W1 aPeloso, Gina, M1 aBarbalic, Maja1 aRicketts, Sally, L1 aBis, Joshua, C1 aFeitosa, Mary, F1 aOrho-Melander, Marju1 aMelander, Olle1 aLi, Xiaohui1 aLi, Mingyao1 aCho, Yoon Shin1 aGo, Min Jin1 aKim, Young, Jin1 aLee, Jong-Young1 aPark, Taesung1 aKim, Kyunga1 aSim, Xueling1 aOng, Rick Twee-Hee1 aCroteau-Chonka, Damien, C1 aLange, Leslie, A1 aSmith, Joshua, D1 aZiegler, Andreas1 aZhang, Weihua1 aZee, Robert, Y L1 aWhitfield, John, B1 aThompson, John, R1 aSurakka, Ida1 aSpector, Tim, D1 aSmit, Johannes, H1 aSinisalo, Juha1 aScott, James1 aSaharinen, Juha1 aSabatti, Chiara1 aRose, Lynda, M1 aRoberts, Robert1 aRieder, Mark1 aParker, Alex, N1 aParé, Guillaume1 aO'Donnell, Christopher, J1 aNieminen, Markku, S1 aNickerson, Deborah, A1 aMontgomery, Grant, W1 aMcArdle, Wendy1 aMasson, David1 aMartin, Nicholas, G1 aMarroni, Fabio1 aLucas, Gavin1 aLuben, Robert1 aLokki, Marja-Liisa1 aLettre, Guillaume1 aLauner, Lenore, J1 aLakatta, Edward, G1 aLaaksonen, Reijo1 aKyvik, Kirsten, O1 aKönig, Inke, R1 aKhaw, Kay-Tee1 aKaplan, Lee, M1 aJohansson, Asa1 aJanssens, Cecile, J W1 aIgl, Wilmar1 aHovingh, Kees1 aHengstenberg, Christian1 aHavulinna, Aki, S1 aHastie, Nicholas, D1 aHarris, Tamara, B1 aHaritunians, Talin1 aHall, Alistair, S1 aGroop, Leif, C1 aGonzalez, Elena1 aFreimer, Nelson, B1 aErdmann, Jeanette1 aEjebe, Kenechi, G1 aDöring, Angela1 aDominiczak, Anna, F1 aDemissie, Serkalem1 aDeloukas, Panagiotis1 ade Faire, Ulf1 aCrawford, Gabriel1 aChen, Yii-der, I1 aCaulfield, Mark, J1 aBoekholdt, Matthijs1 aAssimes, Themistocles, L1 aQuertermous, Thomas1 aSeielstad, Mark1 aWong, Tien, Y1 aTai, E-Shyong1 aFeranil, Alan, B1 aKuzawa, Christopher, W1 aTaylor, Herman, A1 aGabriel, Stacey, B1 aHolm, Hilma1 aGudnason, Vilmundur1 aKrauss, Ronald, M1 aOrdovas, Jose, M1 aMunroe, Patricia, B1 aKooner, Jaspal, S1 aTall, Alan, R1 aHegele, Robert, A1 aKastelein, John, J P1 aSchadt, Eric, E1 aStrachan, David, P1 aReilly, Muredach, P1 aSamani, Nilesh, J1 aSchunkert, Heribert1 aCupples, Adrienne, L1 aSandhu, Manjinder, S1 aRidker, Paul, M1 aRader, Daniel, J1 aKathiresan, Sekar1 aDIAGRAM+ Consortium1 aMAGIC Consortium1 aGLGC Investigators1 aMuTHER Consortium1 aDIAGRAM Consortium1 aGIANT Consortium1 aGlobal B Pgen Consortium1 aProcardis Consortium1 aMAGIC investigators1 aGLGC Consortium uhttps://chs-nhlbi.org/node/137804481nas a2200937 4500008004100000022001400041245012400055210006900179260001300248300001100261490000700272520180500279653002802084653001002112653001702122653003802139653001302177653001702190653001102207653002602218653001702244100002602261700002102287700002502308700001702333700002002350700002302370700002202393700001402415700002302429700002502452700001902477700001502496700002102511700002002532700001902552700002202571700001902593700002202612700002002634700002002654700001902674700002102693700001502714700002302729700002202752700001902774700002102793700003102814700002202845700001702867700001902884700002202903700002702925700003002952700002002982700002003002700002603022700001903048700001703067700002403084700002403108700001803132700001903150700002403169700002003193700002403213700001803237700003003255700002403285700001803309700002803327700002203355700001803377700002403395700002003419700002303439700002203462700002303484856003603507 2013 eng d a1938-320700aCommon genetic loci influencing plasma homocysteine concentrations and their effect on risk of coronary artery disease.0 aCommon genetic loci influencing plasma homocysteine concentratio c2013 Sep a668-760 v983 aBACKGROUND: The strong observational association between total homocysteine (tHcy) concentrations and risk of coronary artery disease (CAD) and the null associations in the homocysteine-lowering trials have prompted the need to identify genetic variants associated with homocysteine concentrations and risk of CAD.
OBJECTIVE: We tested whether common genetic polymorphisms associated with variation in tHcy are also associated with CAD.
DESIGN: We conducted a meta-analysis of genome-wide association studies (GWAS) on tHcy concentrations in 44,147 individuals of European descent. Polymorphisms associated with tHcy (P < 10(⁻⁸) were tested for association with CAD in 31,400 cases and 92,927 controls.
RESULTS: Common variants at 13 loci, explaining 5.9% of the variation in tHcy, were associated with tHcy concentrations, including 6 novel loci in or near MMACHC (2.1 × 10⁻⁹), SLC17A3 (1.0 × 10⁻⁸), GTPB10 (1.7 × 10⁻⁸), CUBN (7.5 × 10⁻¹⁰), HNF1A (1.2 × 10⁻¹²)), and FUT2 (6.6 × 10⁻⁹), and variants previously reported at or near the MTHFR, MTR, CPS1, MUT, NOX4, DPEP1, and CBS genes. Individuals within the highest 10% of the genotype risk score (GRS) had 3-μmol/L higher mean tHcy concentrations than did those within the lowest 10% of the GRS (P = 1 × 10⁻³⁶). The GRS was not associated with risk of CAD (OR: 1.01; 95% CI: 0.98, 1.04; P = 0.49).
CONCLUSIONS: We identified several novel loci that influence plasma tHcy concentrations. Overall, common genetic variants that influence plasma tHcy concentrations are not associated with risk of CAD in white populations, which further refutes the causal relevance of moderately elevated tHcy concentrations and tHcy-related pathways for CAD.
10aCoronary Artery Disease10aGenes10aGenetic Loci10aGenetic Predisposition to Disease10aGenotype10aHomocysteine10aHumans10aPolymorphism, Genetic10aRisk Factors1 avan Meurs, Joyce, B J1 aParé, Guillaume1 aSchwartz, Stephen, M1 aHazra, Aditi1 aTanaka, Toshiko1 aVermeulen, Sita, H1 aCotlarciuc, Ioana1 aYuan, Xin1 aMälarstig, Anders1 aBandinelli, Stefania1 aBis, Joshua, C1 aBlom, Henk1 aBrown, Morris, J1 aChen, Constance1 aDer Chen, Yii-1 aClarke, Robert, J1 aDehghan, Abbas1 aErdmann, Jeanette1 aFerrucci, Luigi1 aHamsten, Anders1 aHofman, Albert1 aHunter, David, J1 aGoel, Anuj1 aJohnson, Andrew, D1 aKathiresan, Sekar1 aKampman, Ellen1 aKiel, Douglas, P1 aKiemeney, Lambertus, A L M1 aChambers, John, C1 aKraft, Peter1 aLindemans, Jan1 aMcKnight, Barbara1 aNelson, Christopher, P1 aO'Donnell, Christopher, J1 aPsaty, Bruce, M1 aRidker, Paul, M1 aRivadeneira, Fernando1 aRose, Lynda, M1 aSeedorf, Udo1 aSiscovick, David, S1 aSchunkert, Heribert1 aSelhub, Jacob1 aUeland, Per, M1 aVollenweider, Peter1 aWaeber, Gérard1 aWaterworth, Dawn, M1 aWatkins, Hugh1 aWitteman, Jacqueline, C M1 aHeijer, Martin, den1 aJacques, Paul1 aUitterlinden, André, G1 aKooner, Jaspal, S1 aRader, Dan, J1 aReilly, Muredach, P1 aMooser, Vincent1 aChasman, Daniel, I1 aSamani, Nilesh, J1 aAhmadi, Kourosh, R uhttps://chs-nhlbi.org/node/628407440nas a2202173 4500008004100000022001400041245009700055210006900152260001300221300001200234490000700246520143200253653002301685653004001708653001901748653002201767653003401789653001101823653001101834653003701845653001401882653003601896653003301932100001801965700002701983700001902010700002602029700002202055700002302077700002302100700002202123700002202145700002002167700002002187700001802207700001802225700001902243700001202262700001802274700002002292700001602312700002502328700002402353700001902377700001802396700002002414700002102434700002602455700002302481700002002504700001202524700002002536700002702556700001702583700002502600700001902625700001802644700001902662700002102681700002702702700002102729700002102750700002202771700001602793700002202809700001802831700001902849700002102868700002002889700001902909700002302928700002002951700002202971700002202993700001903015700002403034700002503058700002103083700002003104700001703124700001403141700001903155700001903174700002303193700002003216700002503236700002303261700002303284700002103307700001803328700002003346700002203366700001603388700002203404700001803426700002103444700002403465700001603489700001903505700001903524700002003543700002003563700002203583700002003605700001903625700001903644700001903663700001803682700002103700700002003721700002003741700001703761700001903778700001803797700002203815700001803837700001903855700002803874700002603902700002403928700001903952700001703971700002203988700002204010700001904032700002504051700002204076700001904098700002004117700001904137700002204156700002204178700001904200700001604219700002304235700002504258700001804283700001404301700002404315700001704339700002104356700002404377700001704401700001704418700001904435700001904454700002404473700002004497700002104517700001804538700002104556700001904577700001904596700002904615700002404644700002104668700002404689700002304713700001804736700002204754700002004776700002304796700002004819700002404839700001704863700002004880700001604900700002004916700002104936700001804957700002604975700001905001700002105020700002505041700002205066700002005088700002105108700001805129700002405147700002105171700001505192700002305207856003605230 2013 eng d a1533-345000aCommon variants in Mendelian kidney disease genes and their association with renal function.0 aCommon variants in Mendelian kidney disease genes and their asso c2013 Dec a2105-170 v243 aMany common genetic variants identified by genome-wide association studies for complex traits map to genes previously linked to rare inherited Mendelian disorders. A systematic analysis of common single-nucleotide polymorphisms (SNPs) in genes responsible for Mendelian diseases with kidney phenotypes has not been performed. We thus developed a comprehensive database of genes for Mendelian kidney conditions and evaluated the association between common genetic variants within these genes and kidney function in the general population. Using the Online Mendelian Inheritance in Man database, we identified 731 unique disease entries related to specific renal search terms and confirmed a kidney phenotype in 218 of these entries, corresponding to mutations in 258 genes. We interrogated common SNPs (minor allele frequency >5%) within these genes for association with the estimated GFR in 74,354 European-ancestry participants from the CKDGen Consortium. However, the top four candidate SNPs (rs6433115 at LRP2, rs1050700 at TSC1, rs249942 at PALB2, and rs9827843 at ROBO2) did not achieve significance in a stage 2 meta-analysis performed in 56,246 additional independent individuals, indicating that these common SNPs are not associated with estimated GFR. The effect of less common or rare variants in these genes on kidney function in the general population and disease-specific cohorts requires further research.
10aDatabases, Genetic10aEuropean Continental Ancestry Group10aGene Frequency10aGenetic Variation10aGenome-Wide Association Study10aHumans10aKidney10aMendelian Randomization Analysis10aPhenotype10aPolymorphism, Single Nucleotide10aRenal Insufficiency, Chronic1 aParsa, Afshin1 aFuchsberger, Christian1 aKöttgen, Anna1 aO'Seaghdha, Conall, M1 aPattaro, Cristian1 ade Andrade, Mariza1 aChasman, Daniel, I1 aTeumer, Alexander1 aEndlich, Karlhans1 aOlden, Matthias1 aChen, Ming-Huei1 aTin, Adrienne1 aKim, Young, J1 aTaliun, Daniel1 aLi, Man1 aFeitosa, Mary1 aGorski, Mathias1 aYang, Qiong1 aHundertmark, Claudia1 aFoster, Meredith, C1 aGlazer, Nicole1 aIsaacs, Aaron1 aRao, Madhumathi1 aSmith, Albert, V1 aO'Connell, Jeffrey, R1 aStruchalin, Maksim1 aTanaka, Toshiko1 aLi, Guo1 aHwang, Shih-Jen1 aAtkinson, Elizabeth, J1 aLohman, Kurt1 aCornelis, Marilyn, C1 aJohansson, Asa1 aTönjes, Anke1 aDehghan, Abbas1 aCouraki, Vincent1 aHolliday, Elizabeth, G1 aSorice, Rossella1 aKutalik, Zoltán1 aLehtimäki, Terho1 aEsko, Tõnu1 aDeshmukh, Harshal1 aUlivi, Sheila1 aChu, Audrey, Y1 aMurgia, Federico1 aTrompet, Stella1 aImboden, Medea1 aKollerits, Barbara1 aPistis, Giorgio1 aHarris, Tamara, B1 aLauner, Lenore, J1 aAspelund, Thor1 aEiriksdottir, Gudny1 aMitchell, Braxton, D1 aBoerwinkle, Eric1 aSchmidt, Helena1 aHofer, Edith1 aHu, Frank1 aDemirkan, Ayse1 aOostra, Ben, A1 aTurner, Stephen, T1 aDing, Jingzhong1 aAndrews, Jeanette, S1 aFreedman, Barry, I1 aGiulianini, Franco1 aKoenig, Wolfgang1 aIllig, Thomas1 aDöring, Angela1 aWichmann, H-Erich1 aZgaga, Lina1 aZemunik, Tatijana1 aBoban, Mladen1 aMinelli, Cosetta1 aWheeler, Heather, E1 aIgl, Wilmar1 aZaboli, Ghazal1 aWild, Sarah, H1 aWright, Alan, F1 aCampbell, Harry1 aEllinghaus, David1 aNöthlings, Ute1 aJacobs, Gunnar1 aBiffar, Reiner1 aErnst, Florian1 aHomuth, Georg1 aKroemer, Heyo, K1 aNauck, Matthias1 aStracke, Sylvia1 aVölker, Uwe1 aVölzke, Henry1 aKovacs, Peter1 aStumvoll, Michael1 aMägi, Reedik1 aHofman, Albert1 aUitterlinden, André, G1 aRivadeneira, Fernando1 aAulchenko, Yurii, S1 aPolasek, Ozren1 aHastie, Nick1 aVitart, Veronique1 aHelmer, Catherine1 aWang, Jie, Jin1 aStengel, Bénédicte1 aRuggiero, Daniela1 aBergmann, Sven1 aKähönen, Mika1 aViikari, Jorma1 aNikopensius, Tiit1 aProvince, Michael1 aColhoun, Helen1 aDoney, Alex1 aRobino, Antonietta1 aKrämer, Bernhard, K1 aPortas, Laura1 aFord, Ian1 aBuckley, Brendan, M1 aAdam, Martin1 aThun, Gian-Andri1 aPaulweber, Bernhard1 aHaun, Margot1 aSala, Cinzia1 aMitchell, Paul1 aCiullo, Marina1 aVollenweider, Peter1 aRaitakari, Olli1 aMetspalu, Andres1 aPalmer, Colin1 aGasparini, Paolo1 aPirastu, Mario1 aJukema, Wouter1 aProbst-Hensch, Nicole, M1 aKronenberg, Florian1 aToniolo, Daniela1 aGudnason, Vilmundur1 aShuldiner, Alan, R1 aCoresh, Josef1 aSchmidt, Reinhold1 aFerrucci, Luigi1 aDuijn, Cornelia, M1 aBorecki, Ingrid1 aKardia, Sharon, L R1 aLiu, Yongmei1 aCurhan, Gary, C1 aRudan, Igor1 aGyllensten, Ulf1 aWilson, James, F1 aFranke, Andre1 aPramstaller, Peter, P1 aRettig, Rainer1 aProkopenko, Inga1 aWitteman, Jacqueline1 aHayward, Caroline1 aRidker, Paul, M1 aBochud, Murielle1 aHeid, Iris, M1 aSiscovick, David, S1 aFox, Caroline, S1 aKao, Linda1 aBöger, Carsten, A uhttps://chs-nhlbi.org/node/628809406nas a2203037 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2013 eng d a1546-171800aGenome-wide association analyses identify 18 new loci associated with serum urate concentrations.0 aGenomewide association analyses identify 18 new loci associated c2013 Feb a145-540 v453 aElevated serum urate concentrations can cause gout, a prevalent and painful inflammatory arthritis. By combining data from >140,000 individuals of European ancestry within the Global Urate Genetics Consortium (GUGC), we identified and replicated 28 genome-wide significant loci in association with serum urate concentrations (18 new regions in or near TRIM46, INHBB, SFMBT1, TMEM171, VEGFA, BAZ1B, PRKAG2, STC1, HNF4G, A1CF, ATXN2, UBE2Q2, IGF1R, NFAT5, MAF, HLF, ACVR1B-ACVRL1 and B3GNT4). Associations for many of the loci were of similar magnitude in individuals of non-European ancestry. We further characterized these loci for associations with gout, transcript expression and the fractional excretion of urate. Network analyses implicate the inhibins-activins signaling pathways and glucose metabolism in systemic urate control. New candidate genes for serum urate concentration highlight the importance of metabolic control of urate production and excretion, which may have implications for the treatment and prevention of gout.
10aAnalysis of Variance10aEuropean Continental Ancestry Group10aGene Frequency10aGenetic Loci10aGenome-Wide Association Study10aGlucose10aGout10aHumans10aInhibins10aPolymorphism, Single Nucleotide10aSignal Transduction10aUric Acid1 aKöttgen, Anna1 aAlbrecht, Eva1 aTeumer, Alexander1 aVitart, Veronique1 aKrumsiek, Jan1 aHundertmark, Claudia1 aPistis, Giorgio1 aRuggiero, Daniela1 aO'Seaghdha, Conall, M1 aHaller, Toomas1 aYang, Qiong1 aTanaka, Toshiko1 aJohnson, Andrew, D1 aKutalik, Zoltán1 aSmith, Albert, V1 aShi, Julia1 aStruchalin, Maksim1 aMiddelberg, Rita, P S1 aBrown, Morris, J1 aGaffo, Angelo, L1 aPirastu, Nicola1 aLi, Guo1 aHayward, Caroline1 aZemunik, Tatijana1 aHuffman, Jennifer1 aYengo, Loic1 aZhao, Jing Hua1 aDemirkan, Ayse1 aFeitosa, Mary, F1 aLiu, Xuan1 aMalerba, Giovanni1 aLopez, Lorna, M1 aHarst, Pim1 aLi, Xinzhong1 aKleber, Marcus, E1 aHicks, Andrew, A1 aNolte, Ilja, M1 aJohansson, Asa1 aMurgia, Federico1 aWild, Sarah, H1 aBakker, Stephan, J L1 aPeden, John, F1 aDehghan, Abbas1 aSteri, Maristella1 aTenesa, Albert1 aLagou, Vasiliki1 aSalo, Perttu1 aMangino, Massimo1 aRose, Lynda, M1 aLehtimäki, Terho1 aWoodward, Owen, M1 aOkada, Yukinori1 aTin, Adrienne1 aMüller, Christian1 aOldmeadow, Christopher1 aPutku, Margus1 aCzamara, Darina1 aKraft, Peter1 aFrogheri, Laura1 aThun, Gian, Andri1 aGrotevendt, Anne1 aGislason, Gauti, Kjartan1 aHarris, Tamara, B1 aLauner, Lenore, J1 aMcArdle, Patrick1 aShuldiner, Alan, R1 aBoerwinkle, Eric1 aCoresh, Josef1 aSchmidt, Helena1 aSchallert, Michael1 aMartin, Nicholas, G1 aMontgomery, Grant, W1 aKubo, Michiaki1 aNakamura, Yusuke1 aTanaka, Toshihiro1 aMunroe, Patricia, B1 aSamani, Nilesh, J1 aJacobs, David, R1 aLiu, Kiang1 aD'Adamo, Pio1 aUlivi, Sheila1 aRotter, Jerome, I1 aPsaty, Bruce, M1 aVollenweider, Peter1 aWaeber, Gérard1 aCampbell, Susan1 aDevuyst, Olivier1 aNavarro, Pau1 aKolcic, Ivana1 aHastie, Nicholas1 aBalkau, Beverley1 aFroguel, Philippe1 aEsko, Tõnu1 aSalumets, Andres1 aKhaw, Kay, Tee1 aLangenberg, Claudia1 aWareham, Nicholas, J1 aIsaacs, Aaron1 aKraja, Aldi1 aZhang, Qunyuan1 aWild, Philipp, S1 aScott, Rodney, J1 aHolliday, Elizabeth, G1 aOrg, Elin1 aViigimaa, Margus1 aBandinelli, Stefania1 aMetter, Jeffrey, E1 aLupo, Antonio1 aTrabetti, Elisabetta1 aSorice, Rossella1 aDöring, Angela1 aLattka, Eva1 aStrauch, Konstantin1 aTheis, Fabian1 aWaldenberger, Melanie1 aWichmann, H-Erich1 aDavies, Gail1 aGow, Alan, J1 aBruinenberg, Marcel1 aStolk, Ronald, P1 aKooner, Jaspal, S1 aZhang, Weihua1 aWinkelmann, Bernhard, R1 aBoehm, Bernhard, O1 aLucae, Susanne1 aPenninx, Brenda, W1 aSmit, Johannes, H1 aCurhan, Gary1 aMudgal, Poorva1 aPlenge, Robert, M1 aPortas, Laura1 aPersico, Ivana1 aKirin, Mirna1 aWilson, James, F1 aLeach, Irene, Mateo1 aGilst, Wiek, H1 aGoel, Anuj1 aOngen, Halit1 aHofman, Albert1 aRivadeneira, Fernando1 aUitterlinden, André, G1 aImboden, Medea1 avon Eckardstein, Arnold1 aCucca, Francesco1 aNagaraja, Ramaiah1 aPiras, Maria, Grazia1 aNauck, Matthias1 aSchurmann, Claudia1 aBudde, Kathrin1 aErnst, Florian1 aFarrington, Susan, M1 aTheodoratou, Evropi1 aProkopenko, Inga1 aStumvoll, Michael1 aJula, Antti1 aPerola, Markus1 aSalomaa, Veikko1 aShin, So-Youn1 aSpector, Tim, D1 aSala, Cinzia1 aRidker, Paul, M1 aKähönen, Mika1 aViikari, Jorma1 aHengstenberg, Christian1 aNelson, Christopher, P1 aMeschia, James, F1 aNalls, Michael, A1 aSharma, Pankaj1 aSingleton, Andrew, B1 aKamatani, Naoyuki1 aZeller, Tanja1 aBurnier, Michel1 aAttia, John1 aLaan, Maris1 aKlopp, Norman1 aHillege, Hans, L1 aKloiber, Stefan1 aChoi, Hyon1 aPirastu, Mario1 aTore, Silvia1 aProbst-Hensch, Nicole, M1 aVölzke, Henry1 aGudnason, Vilmundur1 aParsa, Afshin1 aSchmidt, Reinhold1 aWhitfield, John, B1 aFornage, Myriam1 aGasparini, Paolo1 aSiscovick, David, S1 aPolasek, Ozren1 aCampbell, Harry1 aRudan, Igor1 aBouatia-Naji, Nabila1 aMetspalu, Andres1 aLoos, Ruth, J F1 aDuijn, Cornelia, M1 aBorecki, Ingrid, B1 aFerrucci, Luigi1 aGambaro, Giovanni1 aDeary, Ian, J1 aWolffenbuttel, Bruce, H R1 aChambers, John, C1 aMärz, Winfried1 aPramstaller, Peter, P1 aSnieder, Harold1 aGyllensten, Ulf1 aWright, Alan, F1 aNavis, Gerjan1 aWatkins, Hugh1 aWitteman, Jacqueline, C M1 aSanna, Serena1 aSchipf, Sabine1 aDunlop, Malcolm, G1 aTönjes, Anke1 aRipatti, Samuli1 aSoranzo, Nicole1 aToniolo, Daniela1 aChasman, Daniel, I1 aRaitakari, Olli1 aKao, Linda, W H1 aCiullo, Marina1 aFox, Caroline, S1 aCaulfield, Mark1 aBochud, Murielle1 aGieger, Christian1 aLifeLines Cohort Study1 aCARDIoGRAM consortium1 aDIAGRAM Consortium1 aICBP Consortium1 aMAGIC Consortium uhttps://chs-nhlbi.org/node/607505590nas a2201609 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2013 eng d a1553-740400aMeta-analysis of genome-wide association studies identifies six new Loci for serum calcium concentrations.0 aMetaanalysis of genomewide association studies identifies six ne c2013 ae10037960 v93 aCalcium is vital to the normal functioning of multiple organ systems and its serum concentration is tightly regulated. Apart from CASR, the genes associated with serum calcium are largely unknown. We conducted a genome-wide association meta-analysis of 39,400 individuals from 17 population-based cohorts and investigated the 14 most strongly associated loci in ≤ 21,679 additional individuals. Seven loci (six new regions) in association with serum calcium were identified and replicated. Rs1570669 near CYP24A1 (P = 9.1E-12), rs10491003 upstream of GATA3 (P = 4.8E-09) and rs7481584 in CARS (P = 1.2E-10) implicate regions involved in Mendelian calcemic disorders: Rs1550532 in DGKD (P = 8.2E-11), also associated with bone density, and rs7336933 near DGKH/KIAA0564 (P = 9.1E-10) are near genes that encode distinct isoforms of diacylglycerol kinase. Rs780094 is in GCKR. We characterized the expression of these genes in gut, kidney, and bone, and demonstrate modulation of gene expression in bone in response to dietary calcium in mice. Our results shed new light on the genetics of calcium homeostasis.
10aAnimals10aBone and Bones10aBone Density10aCalcium10aEuropean Continental Ancestry Group10aGene Expression Regulation10aGenome-Wide Association Study10aHomeostasis10aHumans10aKidney10aMice10aPolymorphism, Single Nucleotide1 aO'Seaghdha, Conall, M1 aWu, Hongsheng1 aYang, Qiong1 aKapur, Karen1 aGuessous, Idris1 aZuber, Annie, Mercier1 aKöttgen, Anna1 aStoudmann, Candice1 aTeumer, Alexander1 aKutalik, Zoltán1 aMangino, Massimo1 aDehghan, Abbas1 aZhang, Weihua1 aEiriksdottir, Gudny1 aLi, Guo1 aTanaka, Toshiko1 aPortas, Laura1 aLopez, Lorna, M1 aHayward, Caroline1 aLohman, Kurt1 aMatsuda, Koichi1 aPadmanabhan, Sandosh1 aFirsov, Dmitri1 aSorice, Rossella1 aUlivi, Sheila1 aBrockhaus, Catharina1 aKleber, Marcus, E1 aMahajan, Anubha1 aErnst, Florian, D1 aGudnason, Vilmundur1 aLauner, Lenore, J1 aMace, Aurelien1 aBoerwinckle, Eric1 aArking, Dan, E1 aTanikawa, Chizu1 aNakamura, Yusuke1 aBrown, Morris, J1 aGaspoz, Jean-Michel1 aTheler, Jean-Marc1 aSiscovick, David, S1 aPsaty, Bruce, M1 aBergmann, Sven1 aVollenweider, Peter1 aVitart, Veronique1 aWright, Alan, F1 aZemunik, Tatijana1 aBoban, Mladen1 aKolcic, Ivana1 aNavarro, Pau1 aBrown, Edward, M1 aEstrada, Karol1 aDing, Jingzhong1 aHarris, Tamara, B1 aBandinelli, Stefania1 aHernandez, Dena1 aSingleton, Andrew, B1 aGirotto, Giorgia1 aRuggiero, Daniela1 ad'Adamo, Adamo, Pio1 aRobino, Antonietta1 aMeitinger, Thomas1 aMeisinger, Christa1 aDavies, Gail1 aStarr, John, M1 aChambers, John, C1 aBoehm, Bernhard, O1 aWinkelmann, Bernhard, R1 aHuang, Jie1 aMurgia, Federico1 aWild, Sarah, H1 aCampbell, Harry1 aMorris, Andrew, P1 aFranco, Oscar, H1 aHofman, Albert1 aUitterlinden, André, G1 aRivadeneira, Fernando1 aVölker, Uwe1 aHannemann, Anke1 aBiffar, Reiner1 aHoffmann, Wolfgang1 aShin, So-Youn1 aLescuyer, Pierre1 aHenry, Hughes1 aSchurmann, Claudia1 aMunroe, Patricia, B1 aGasparini, Paolo1 aPirastu, Nicola1 aCiullo, Marina1 aGieger, Christian1 aMärz, Winfried1 aLind, Lars1 aSpector, Tim, D1 aSmith, Albert, V1 aRudan, Igor1 aWilson, James, F1 aPolasek, Ozren1 aDeary, Ian, J1 aPirastu, Mario1 aFerrucci, Luigi1 aLiu, Yongmei1 aKestenbaum, Bryan1 aKooner, Jaspal, S1 aWitteman, Jacqueline, C M1 aNauck, Matthias1 aKao, Linda, W H1 aWallaschofski, Henri1 aBonny, Olivier1 aFox, Caroline, S1 aBochud, Murielle1 aSUNLIGHT Consortium1 aGEFOS Consortium uhttps://chs-nhlbi.org/node/629108187nas a2202209 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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/615508212nas a2202197 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2014 eng d a1756-183300aAssociation between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data.0 aAssociation between alcohol and cardiovascular disease Mendelian c2014 Jul 10 ag41640 v3493 aOBJECTIVE: To use the rs1229984 variant in the alcohol dehydrogenase 1B gene (ADH1B) as an instrument to investigate the causal role of alcohol in cardiovascular disease.
DESIGN: Mendelian randomisation meta-analysis of 56 epidemiological studies.
PARTICIPANTS: 261 991 individuals of European descent, including 20 259 coronary heart disease cases and 10 164 stroke events. Data were available on ADH1B rs1229984 variant, alcohol phenotypes, and cardiovascular biomarkers.
MAIN OUTCOME MEASURES: Odds ratio for coronary heart disease and stroke associated with the ADH1B variant in all individuals and by categories of alcohol consumption.
RESULTS: Carriers of the A-allele of ADH1B rs1229984 consumed 17.2% fewer units of alcohol per week (95% confidence interval 15.6% to 18.9%), had a lower prevalence of binge drinking (odds ratio 0.78 (95% CI 0.73 to 0.84)), and had higher abstention (odds ratio 1.27 (1.21 to 1.34)) than non-carriers. Rs1229984 A-allele carriers had lower systolic blood pressure (-0.88 (-1.19 to -0.56) mm Hg), interleukin-6 levels (-5.2% (-7.8 to -2.4%)), waist circumference (-0.3 (-0.6 to -0.1) cm), and body mass index (-0.17 (-0.24 to -0.10) kg/m(2)). Rs1229984 A-allele carriers had lower odds of coronary heart disease (odds ratio 0.90 (0.84 to 0.96)). The protective association of the ADH1B rs1229984 A-allele variant remained the same across all categories of alcohol consumption (P=0.83 for heterogeneity). Although no association of rs1229984 was identified with the combined subtypes of stroke, carriers of the A-allele had lower odds of ischaemic stroke (odds ratio 0.83 (0.72 to 0.95)).
CONCLUSIONS: Individuals with a genetic variant associated with non-drinking and lower alcohol consumption had a more favourable cardiovascular profile and a reduced risk of coronary heart disease than those without the genetic variant. This suggests that reduction of alcohol consumption, even for light to moderate drinkers, is beneficial for cardiovascular health.
10aAdult10aAged10aAlcohol Dehydrogenase10aAlcohol Drinking10aBiomarkers10aCoronary Disease10aFemale10aGenetic Markers10aGenotype10aHumans10aMale10aMendelian Randomization Analysis10aMiddle Aged10aModels, Statistical10aPolymorphism, Single Nucleotide10aStroke1 aHolmes, Michael, V1 aDale, Caroline, E1 aZuccolo, Luisa1 aSilverwood, Richard, J1 aGuo, Yiran1 aYe, Zheng1 aPrieto-Merino, David1 aDehghan, Abbas1 aTrompet, Stella1 aWong, Andrew1 aCavadino, Alana1 aDrogan, Dagmar1 aPadmanabhan, Sandosh1 aLi, Shanshan1 aYesupriya, Ajay1 aLeusink, Maarten1 aSundström, Johan1 aHubacek, Jaroslav, A1 aPikhart, Hynek1 aSwerdlow, Daniel, I1 aPanayiotou, Andrie, G1 aBorinskaya, Svetlana, A1 aFinan, Chris1 aShah, Sonia1 aKuchenbaecker, Karoline, B1 aShah, Tina1 aEngmann, Jorgen1 aFolkersen, Lasse1 aEriksson, Per1 aRicceri, Fulvio1 aMelander, Olle1 aSacerdote, Carlotta1 aGamble, Dale, M1 aRayaprolu, Sruti1 aRoss, Owen, A1 aMcLachlan, Stela1 aVikhireva, Olga1 aSluijs, Ivonne1 aScott, Robert, A1 aAdamkova, Vera1 aFlicker, Leon1 avan Bockxmeer, Frank, M1 aPower, Christine1 aMarques-Vidal, Pedro1 aMeade, Tom1 aMarmot, Michael, G1 aFerro, Jose, M1 aPaulos-Pinheiro, Sofia1 aHumphries, Steve, E1 aTalmud, Philippa, J1 aLeach, Irene, Mateo1 aVerweij, Niek1 aLinneberg, Allan1 aSkaaby, Tea1 aDoevendans, Pieter, A1 aCramer, Maarten, J1 aHarst, Pim1 aKlungel, Olaf, H1 aDowling, Nicole, F1 aDominiczak, Anna, F1 aKumari, Meena1 aNicolaides, Andrew, N1 aWeikert, Cornelia1 aBoeing, Heiner1 aEbrahim, Shah1 aGaunt, Tom, R1 aPrice, Jackie, F1 aLannfelt, Lars1 aPeasey, Anne1 aKubinova, Ruzena1 aPajak, Andrzej1 aMalyutina, Sofia1 aVoevoda, Mikhail, I1 aTamosiunas, Abdonas1 avan der Zee, Anke, H Maitland1 aNorman, Paul, E1 aHankey, Graeme, J1 aBergmann, Manuela, M1 aHofman, Albert1 aFranco, Oscar, H1 aCooper, Jackie1 aPalmen, Jutta1 aSpiering, Wilko1 ade Jong, Pim, A1 aKuh, Diana1 aHardy, Rebecca1 aUitterlinden, André, G1 aIkram, Arfan, M1 aFord, Ian1 aHyppönen, Elina1 aAlmeida, Osvaldo, P1 aWareham, Nicholas, J1 aKhaw, Kay-Tee1 aHamsten, Anders1 aHusemoen, Lise, Lotte N1 aTjønneland, Anne1 aTolstrup, Janne, S1 aRimm, Eric1 aBeulens, Joline, W J1 aVerschuren, W, M Monique1 aOnland-Moret, Charlotte, N1 aHofker, Marten, H1 aWannamethee, Goya1 aWhincup, Peter, H1 aMorris, Richard1 aVicente, Astrid, M1 aWatkins, Hugh1 aFarrall, Martin1 aJukema, Wouter1 aMeschia, James1 aCupples, Adrienne, L1 aSharp, Stephen, J1 aFornage, Myriam1 aKooperberg, Charles1 aLaCroix, Andrea, Z1 aDai, James, Y1 aLanktree, Matthew, B1 aSiscovick, David, S1 aJorgenson, Eric1 aSpring, Bonnie1 aCoresh, Josef1 aLi, Yun, R1 aBuxbaum, Sarah, G1 aSchreiner, Pamela, J1 aEllison, Curtis1 aTsai, Michael, Y1 aPatel, Sanjay, R1 aRedline, Susan1 aJohnson, Andrew, D1 aHoogeveen, Ron, C1 aHakonarson, Hakon1 aRotter, Jerome, I1 aBoerwinkle, Eric1 ade Bakker, Paul, I W1 aKivimaki, Mika1 aAsselbergs, Folkert, W1 aSattar, Naveed1 aLawlor, Debbie, A1 aWhittaker, John1 aSmith, George, Davey1 aMukamal, Kenneth1 aPsaty, Bruce, M1 aWilson, James, G1 aLange, Leslie, A1 aHamidovic, Ajna1 aHingorani, Aroon, D1 aNordestgaard, Børge, G1 aBobak, Martin1 aLeon, David, A1 aLangenberg, Claudia1 aPalmer, Tom, M1 aReiner, Alex, P1 aKeating, Brendan, J1 aDudbridge, Frank1 aCasas, Juan, P1 aInterAct Consortium uhttps://chs-nhlbi.org/node/656905943nas a2201657 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2014 eng d a1537-660500aAssociation of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks.0 aAssociation of lowfrequency and rare codingsequence variants wit c2014 Feb 06 a223-320 v943 aLow-frequency coding DNA sequence variants in the proprotein convertase subtilisin/kexin type 9 gene (PCSK9) lower plasma low-density lipoprotein cholesterol (LDL-C), protect against risk of coronary heart disease (CHD), and have prompted the development of a new class of therapeutics. It is uncertain whether the PCSK9 example represents a paradigm or an isolated exception. We used the "Exome Array" to genotype >200,000 low-frequency and rare coding sequence variants across the genome in 56,538 individuals (42,208 European ancestry [EA] and 14,330 African ancestry [AA]) and tested these variants for association with LDL-C, high-density lipoprotein cholesterol (HDL-C), and triglycerides. Although we did not identify new genes associated with LDL-C, we did identify four low-frequency (frequencies between 0.1% and 2%) variants (ANGPTL8 rs145464906 [c.361C>T; p.Gln121*], PAFAH1B2 rs186808413 [c.482C>T; p.Ser161Leu], COL18A1 rs114139997 [c.331G>A; p.Gly111Arg], and PCSK7 rs142953140 [c.1511G>A; p.Arg504His]) with large effects on HDL-C and/or triglycerides. None of these four variants was associated with risk for CHD, suggesting that examples of low-frequency coding variants with robust effects on both lipids and CHD will be limited.
10a1-Alkyl-2-acetylglycerophosphocholine Esterase10aAdult10aAfrican Continental Ancestry Group10aAged10aAlleles10aAnimals10aCholesterol, HDL10aCholesterol, LDL10aCohort Studies10aCoronary Disease10aEuropean Continental Ancestry Group10aFemale10aGene Frequency10aGenetic Association Studies10aGenetic Code10aGenetic Variation10aHumans10aLinear Models10aMale10aMice10aMice, Inbred C57BL10aMicrotubule-Associated Proteins10aMiddle Aged10aPhenotype10aSequence Analysis, DNA10aSubtilisins10aTriglycerides1 aPeloso, Gina, M1 aAuer, Paul, L1 aBis, Joshua, C1 aVoorman, Arend1 aMorrison, Alanna, C1 aStitziel, Nathan, O1 aBrody, Jennifer, A1 aKhetarpal, Sumeet, A1 aCrosby, Jacy, R1 aFornage, Myriam1 aIsaacs, Aaron1 aJakobsdottir, Johanna1 aFeitosa, Mary, F1 aDavies, Gail1 aHuffman, Jennifer, E1 aManichaikul, Ani1 aDavis, Brian1 aLohman, Kurt1 aJoon, Aron, Y1 aSmith, Albert, V1 aGrove, Megan, L1 aZanoni, Paolo1 aRedon, Valeska1 aDemissie, Serkalem1 aLawson, Kim1 aPeters, Ulrike1 aCarlson, Christopher1 aJackson, Rebecca, D1 aRyckman, Kelli, K1 aMackey, Rachel, H1 aRobinson, Jennifer, G1 aSiscovick, David, S1 aSchreiner, Pamela, J1 aMychaleckyj, Josyf, C1 aPankow, James, S1 aHofman, Albert1 aUitterlinden, André, G1 aHarris, Tamara, B1 aTaylor, Kent, D1 aStafford, Jeanette, M1 aReynolds, Lindsay, M1 aMarioni, Riccardo, E1 aDehghan, Abbas1 aFranco, Oscar, H1 aPatel, Aniruddh, P1 aLu, Yingchang1 aHindy, George1 aGottesman, Omri1 aBottinger, Erwin, P1 aMelander, Olle1 aOrho-Melander, Marju1 aLoos, Ruth, J F1 aDuga, Stefano1 aMerlini, Piera, Angelica1 aFarrall, Martin1 aGoel, Anuj1 aAsselta, Rosanna1 aGirelli, Domenico1 aMartinelli, Nicola1 aShah, Svati, H1 aKraus, William, E1 aLi, Mingyao1 aRader, Daniel, J1 aReilly, Muredach, P1 aMcPherson, Ruth1 aWatkins, Hugh1 aArdissino, Diego1 aZhang, Qunyuan1 aWang, Judy1 aTsai, Michael, Y1 aTaylor, Herman, A1 aCorrea, Adolfo1 aGriswold, Michael, E1 aLange, Leslie, A1 aStarr, John, M1 aRudan, Igor1 aEiriksdottir, Gudny1 aLauner, Lenore, J1 aOrdovas, Jose, M1 aLevy, Daniel1 aChen, Y-D, Ida1 aReiner, Alexander, P1 aHayward, Caroline1 aPolasek, Ozren1 aDeary, Ian, J1 aBorecki, Ingrid, B1 aLiu, Yongmei1 aGudnason, Vilmundur1 aWilson, James, G1 aDuijn, Cornelia, M1 aKooperberg, Charles1 aRich, Stephen, S1 aPsaty, Bruce, M1 aRotter, Jerome, I1 aO'Donnell, Christopher, J1 aRice, Kenneth1 aBoerwinkle, Eric1 aKathiresan, Sekar1 aCupples, Adrienne, L1 aNHLBI GO Exome Sequencing Project uhttps://chs-nhlbi.org/node/659003970nas a2200877 4500008004100000022001400041245011500055210006900170260001600239300001000255490000700265520145800272653001901730653003401749653001101783653002501794653001401819653003601833653002801869100002201897700002301919700002201942700001701964700002201981700001902003700001702022700002102039700001802060700001502078700001702093700001902110700002002129700002702149700002302176700001802199700002402217700001702241700002002258700002702278700002902305700002202334700001602356700002202372700001502394700002202409700001302431700002002444700002402464700002302488700002202511700001902533700001202552700002102564700002202585700001402607700002102621700002402642700001302666700002802679700002602707700001902733700002302752700002102775700001402796700003002810700002402840700002402864700001902888700002002907700002002927700001702947700002002964700002602984710004603010856003603056 2014 eng d a1537-660500aEffects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations.0 aEffects of longterm averaging of quantitative blood pressure tra c2014 Jul 03 a49-650 v953 aBlood pressure (BP) is a heritable, quantitative trait with intraindividual variability and susceptibility to measurement error. Genetic studies of BP generally use single-visit measurements and thus cannot remove variability occurring over months or years. We leveraged the idea that averaging BP measured across time would improve phenotypic accuracy and thereby increase statistical power to detect genetic associations. We studied systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP) averaged over multiple years in 46,629 individuals of European ancestry. We identified 39 trait-variant associations across 19 independent loci (p < 5 × 10(-8)); five associations (in four loci) uniquely identified by our LTA analyses included those of SBP and MAP at 2p23 (rs1275988, near KCNK3), DBP at 2q11.2 (rs7599598, in FER1L5), and PP at 6p21 (rs10948071, near CRIP3) and 7p13 (rs2949837, near IGFBP3). Replication analyses conducted in cohorts with single-visit BP data showed positive replication of associations and a nominal association (p < 0.05). We estimated a 20% gain in statistical power with long-term average (LTA) as compared to single-visit BP association studies. Using LTA analysis, we identified genetic loci influencing BP. LTA might be one way of increasing the power of genetic associations for continuous traits in extant samples for other phenotypes that are measured serially over time.
10aBlood Pressure10aGenome-Wide Association Study10aHumans10aLongitudinal Studies10aPhenotype10aPolymorphism, Single Nucleotide10aQuantitative Trait Loci1 aGanesh, Santhi, K1 aChasman, Daniel, I1 aLarson, Martin, G1 aGuo, Xiuqing1 aVerwoert, Germain1 aBis, Joshua, C1 aGu, Xiangjun1 aSmith, Albert, V1 aYang, Min-Lee1 aZhang, Yan1 aEhret, Georg1 aRose, Lynda, M1 aHwang, Shih-Jen1 aPapanicolau, George, J1 aSijbrands, Eric, J1 aRice, Kenneth1 aEiriksdottir, Gudny1 aPihur, Vasyl1 aRidker, Paul, M1 aVasan, Ramachandran, S1 aNewton-Cheh, Christopher1 aRaffel, Leslie, J1 aAmin, Najaf1 aRotter, Jerome, I1 aLiu, Kiang1 aLauner, Lenore, J1 aXu, Ming1 aCaulfield, Mark1 aMorrison, Alanna, C1 aJohnson, Andrew, D1 aVaidya, Dhananjay1 aDehghan, Abbas1 aLi, Guo1 aBouchard, Claude1 aHarris, Tamara, B1 aZhang, He1 aBoerwinkle, Eric1 aSiscovick, David, S1 aGao, Wei1 aUitterlinden, André, G1 aRivadeneira, Fernando1 aHofman, Albert1 aWiller, Cristen, J1 aFranco, Oscar, H1 aHuo, Yong1 aWitteman, Jacqueline, C M1 aMunroe, Patricia, B1 aGudnason, Vilmundur1 aPalmas, Walter1 aDuijn, Cornelia1 aFornage, Myriam1 aLevy, Daniel1 aPsaty, Bruce, M1 aChakravarti, Aravinda1 aGlobal Blood Pressure Genetics Consortium uhttps://chs-nhlbi.org/node/656305870nas a2201489 4500008004100000022001400041245013500055210006900190260001600259300001000275490000700285520175700292653001502049653001002064653001602074653000902090653001902099653001902118653001102137653001602148653001602164100002202180700001402202700001902216700002302235700002002258700001702278700001702295700002002312700002002332700002102352700002602373700003102399700001702430700001502447700002002462700001802482700002302500700001502523700001802538700002202556700002602578700001802604700002802622700001902650700001702669700001702686700002702703700001802730700001902748700001602767700002102783700002102804700001902825700002402844700002002868700002102888700002202909700002202931700002002953700001902973700001902992700002303011700002003034700001803054700002103072700002203093700002203115700001203137700001703149700001503166700002403181700001803205700002303223700002703246700002303273700002003296700002203316700002303338700001803361700002603379700001903405700001803424700002103442700002403463700002103487700002803508700002203536700003003558700002703588700003203615700001703647700001903664700001803683700002003701700001403721700002103735700002003756700002603776700001603802700002303818700002203841700002003863700001703883700002003900700002003920700001903940700002003959700001903979700001803998700001504016700002504031700002004056700002004076700002004096700002404116700001704140700001904157700002004176700002204196700002304218700003004241700002604271700002004297710002704317856003604344 2014 eng d a1537-660500aGene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia.0 aGeneage interactions in blood pressure regulation a largescale i c2014 Jul 03 a24-380 v953 aAlthough age-dependent effects on blood pressure (BP) have been reported, they have not been systematically investigated in large-scale genome-wide association studies (GWASs). We leveraged the infrastructure of three well-established consortia (CHARGE, GBPgen, and ICBP) and a nonstandard approach (age stratification and metaregression) to conduct a genome-wide search of common variants with age-dependent effects on systolic (SBP), diastolic (DBP), mean arterial (MAP), and pulse (PP) pressure. In a two-staged design using 99,241 individuals of European ancestry, we identified 20 genome-wide significant (p ≤ 5 × 10(-8)) loci by using joint tests of the SNP main effect and SNP-age interaction. Nine of the significant loci demonstrated nominal evidence of age-dependent effects on BP by tests of the interactions alone. Index SNPs in the EHBP1L1 (DBP and MAP), CASZ1 (SBP and MAP), and GOSR2 (PP) loci exhibited the largest age interactions, with opposite directions of effect in the young versus the old. The changes in the genetic effects over time were small but nonnegligible (up to 1.58 mm Hg over 60 years). The EHBP1L1 locus was discovered through gene-age interactions only in whites but had DBP main effects replicated (p = 8.3 × 10(-4)) in 8,682 Asians from Singapore, indicating potential interethnic heterogeneity. A secondary analysis revealed 22 loci with evidence of age-specific effects (e.g., only in 20 to 29-year-olds). Age can be used to select samples with larger genetic effect sizes and more homogenous phenotypes, which may increase statistical power. Age-dependent effects identified through novel statistical approaches can provide insight into the biology and temporal regulation underlying BP associations.
10aAdolescent10aAdult10aAge Factors10aAged10aBlood Pressure10aCohort Studies10aHumans10aMiddle Aged10aYoung Adult1 aSimino, Jeannette1 aShi, Gang1 aBis, Joshua, C1 aChasman, Daniel, I1 aEhret, Georg, B1 aGu, Xiangjun1 aGuo, Xiuqing1 aHwang, Shih-Jen1 aSijbrands, Eric1 aSmith, Albert, V1 aVerwoert, Germaine, C1 aBragg-Gresham, Jennifer, L1 aCadby, Gemma1 aChen, Peng1 aCheng, Ching-Yu1 aCorre, Tanguy1 ade Boer, Rudolf, A1 aGoel, Anuj1 aJohnson, Toby1 aKhor, Chiea-Chuen1 aLluís-Ganella, Carla1 aLuan, Jian'an1 aLyytikäinen, Leo-Pekka1 aNolte, Ilja, M1 aSim, Xueling1 aSõber, Siim1 avan der Most, Peter, J1 aVerweij, Niek1 aZhao, Jing Hua1 aAmin, Najaf1 aBoerwinkle, Eric1 aBouchard, Claude1 aDehghan, Abbas1 aEiriksdottir, Gudny1 aElosua, Roberto1 aFranco, Oscar, H1 aGieger, Christian1 aHarris, Tamara, B1 aHercberg, Serge1 aHofman, Albert1 aJames, Alan, L1 aJohnson, Andrew, D1 aKähönen, Mika1 aKhaw, Kay-Tee1 aKutalik, Zoltán1 aLarson, Martin, G1 aLauner, Lenore, J1 aLi, Guo1 aLiu, Jianjun1 aLiu, Kiang1 aMorrison, Alanna, C1 aNavis, Gerjan1 aOng, Rick Twee-Hee1 aPapanicolau, George, J1 aPenninx, Brenda, W1 aPsaty, Bruce, M1 aRaffel, Leslie, J1 aRaitakari, Olli, T1 aRice, Kenneth1 aRivadeneira, Fernando1 aRose, Lynda, M1 aSanna, Serena1 aScott, Robert, A1 aSiscovick, David, S1 aStolk, Ronald, P1 aUitterlinden, André, G1 aVaidya, Dhananjay1 avan der Klauw, Melanie, M1 aVasan, Ramachandran, S1 aVithana, Eranga, Nishanthie1 aVölker, Uwe1 aVölzke, Henry1 aWatkins, Hugh1 aYoung, Terri, L1 aAung, Tin1 aBochud, Murielle1 aFarrall, Martin1 aHartman, Catharina, A1 aLaan, Maris1 aLakatta, Edward, G1 aLehtimäki, Terho1 aLoos, Ruth, J F1 aLucas, Gavin1 aMeneton, Pierre1 aPalmer, Lyle, J1 aRettig, Rainer1 aSnieder, Harold1 aTai, Shyong, E1 aTeo, Yik-Ying1 aHarst, Pim1 aWareham, Nicholas, J1 aWijmenga, Cisca1 aWong, Tien, Yin1 aFornage, Myriam1 aGudnason, Vilmundur1 aLevy, Daniel1 aPalmas, Walter1 aRidker, Paul, M1 aRotter, Jerome, I1 aDuijn, Cornelia, M1 aWitteman, Jacqueline, C M1 aChakravarti, Aravinda1 aRao, Dabeeru, C1 aLifeLines Cohort Study uhttps://chs-nhlbi.org/node/659906414nas a2201585 4500008004100000022001400041245015100055210006900206260001300275300001300288490000700301520179000308653000902098653002002107653002802127653002202155653001102177653001102188653003102199653001902230653001702249653003802266653003402304653001102338653000902349653001602358653002602374653001402400653003602414653002102450653001702471653001102488653001502499653003302514653001702547653001802564653001802582100001502600700002502615700002402640700002402664700002002688700002702708700002502735700003202760700001802792700002302810700002202833700001802855700002102873700001802894700001902912700002302931700001702954700002102971700001602992700002803008700002403036700002003060700002703080700002003107700002603127700002203153700001603175700002403191700002103215700002103236700002003257700002003277700002503297700002503322700002403347700001603371700002203387700002003409700001503429700002003444700002103464700002303485700002803508700002203536700001903558700001903577700001903596700002303615700002203638700002203660700002003682700001403702700001703716700002003733700002203753700001803775700002803793700002303821700001903844700002003863700001803883700001903901700003003920700002103950700001703971700002003988700001904008700002104027700002604048700002204074700002404096700002204120700001904142700002804161700002004189700002104209700002204230700002004252700002004272700002404292700002004316700002004336700001804356700002104374700002904395700002004424700002304444700002204467700001504489700002004504700002704524700002304551700003004574710010804604710002604712710005404738856003604792 2014 eng d a1524-463600aGenome-wide association study for circulating tissue plasminogen activator levels and functional follow-up implicates endothelial STXBP5 and STX2.0 aGenomewide association study for circulating tissue plasminogen c2014 May a1093-1010 v343 aOBJECTIVE: Tissue plasminogen activator (tPA), a serine protease, catalyzes the conversion of plasminogen to plasmin, the major enzyme responsible for endogenous fibrinolysis. In some populations, elevated plasma levels of tPA have been associated with myocardial infarction and other cardiovascular diseases. We conducted a meta-analysis of genome-wide association studies to identify novel correlates of circulating levels of tPA.
APPROACH AND RESULTS: Fourteen cohort studies with tPA measures (N=26 929) contributed to the meta-analysis. Three loci were significantly associated with circulating tPA levels (P<5.0×10(-8)). The first locus is on 6q24.3, with the lead single nucleotide polymorphism (SNP; rs9399599; P=2.9×10(-14)) within STXBP5. The second locus is on 8p11.21. The lead SNP (rs3136739; P=1.3×10(-9)) is intronic to POLB and <200 kb away from the tPA encoding the gene PLAT. We identified a nonsynonymous SNP (rs2020921) in modest linkage disequilibrium with rs3136739 (r(2)=0.50) within exon 5 of PLAT (P=2.0×10(-8)). The third locus is on 12q24.33, with the lead SNP (rs7301826; P=1.0×10(-9)) within intron 7 of STX2. We further found evidence for the association of lead SNPs in STXBP5 and STX2 with expression levels of the respective transcripts. In in vitro cell studies, silencing STXBP5 decreased the release of tPA from vascular endothelial cells, whereas silencing STX2 increased the tPA release. Through an in silico lookup, we found no associations of the 3 lead SNPs with coronary artery disease or stroke.
CONCLUSIONS: We identified 3 loci associated with circulating tPA levels, the PLAT region, STXBP5, and STX2. Our functional studies implicate a novel role for STXBP5 and STX2 in regulating tPA release.
10aAged10aCells, Cultured10aCoronary Artery Disease10aEndothelial Cells10aEurope10aFemale10aGene Expression Regulation10aGene Silencing10aGenetic Loci10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aHumans10aMale10aMiddle Aged10aNerve Tissue Proteins10aPhenotype10aPolymorphism, Single Nucleotide10aR-SNARE Proteins10aRisk Factors10aStroke10aSyntaxin 110aTissue Plasminogen Activator10aTransfection10aUnited States10aUp-Regulation1 aHuang, Jie1 aHuffman, Jennifer, E1 aYamakuchi, Munekazu1 aYamkauchi, Munekazu1 aTrompet, Stella1 aAsselbergs, Folkert, W1 aSabater-Lleal, Maria1 aTrégouët, David-Alexandre1 aChen, Wei-Min1 aSmith, Nicholas, L1 aKleber, Marcus, E1 aShin, So-Youn1 aBecker, Diane, M1 aTang, Weihong1 aDehghan, Abbas1 aJohnson, Andrew, D1 aTruong, Vinh1 aFolkersen, Lasse1 aYang, Qiong1 aOudot-Mellkah, Tiphaine1 aBuckley, Brendan, M1 aMoore, Jason, H1 aWilliams, Frances, M K1 aCampbell, Harry1 aSilbernagel, Günther1 aVitart, Veronique1 aRudan, Igor1 aTofler, Geoffrey, H1 aNavis, Gerjan, J1 aDeStefano, Anita1 aWright, Alan, F1 aChen, Ming-Huei1 ade Craen, Anton, J M1 aWorrall, Bradford, B1 aRudnicka, Alicja, R1 aRumley, Ann1 aBookman, Ebony, B1 aPsaty, Bruce, M1 aChen, Fang1 aKeene, Keith, L1 aFranco, Oscar, H1 aBöhm, Bernhard, O1 aUitterlinden, André, G1 aCarter, Angela, M1 aJukema, Wouter1 aSattar, Naveed1 aBis, Joshua, C1 aIkram, Mohammad, A1 aSale, Michèle, M1 aMcKnight, Barbara1 aFornage, Myriam1 aFord, Ian1 aTaylor, Kent1 aSlagboom, Eline1 aMcArdle, Wendy, L1 aHsu, Fang-Chi1 aFranco-Cereceda, Anders1 aGoodall, Alison, H1 aYanek, Lisa, R1 aFurie, Karen, L1 aCushman, Mary1 aHofman, Albert1 aWitteman, Jacqueline, C M1 aFolsom, Aaron, R1 aBasu, Saonli1 aMatijevic, Nena1 aGilst, Wiek, H1 aWilson, James, F1 aWestendorp, Rudi, G J1 aKathiresan, Sekar1 aReilly, Muredach, P1 aTracy, Russell, P1 aPolasek, Ozren1 aWinkelmann, Bernhard, R1 aGrant, Peter, J1 aHillege, Hans, L1 aCambien, Francois1 aStott, David, J1 aLowe, Gordon, D1 aSpector, Timothy, D1 aMeigs, James, B1 aMärz, Winfried1 aEriksson, Per1 aBecker, Lewis, C1 aMorange, Pierre-Emmanuel1 aSoranzo, Nicole1 aWilliams, Scott, M1 aHayward, Caroline1 aHarst, Pim1 aHamsten, Anders1 aLowenstein, Charles, J1 aStrachan, David, P1 aO'Donnell, Christopher, J1 aCohorts for Heart and Aging Research in Genome Epidemiology (CHARGE) Consortium Neurology Working Group1 aCARDIoGRAM consortium1 aCHARGE Consortium Hemostatic Factor Working Group uhttps://chs-nhlbi.org/node/636705936nas 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/666704219nas a2200913 4500008004100000022001400041245008500055210006900140260001300209300001100222490000700233520168500240653001601925653000901941653002201950653002101972653002501993653001902018653004002037653001102077653003802088653003402126653001302160653001102173653000902184653001602193653003602209653002402245653001702269653001402286653001602300653001102316100003002327700002002357700001902377700002202396700002002418700002002438700001502458700001602473700002102489700003002510700002202540700002002562700002102582700001802603700002102621700002002642700001602662700002302678700001902701700001802720700002202738700002002760700002102780700002102801700002302822700001702845700002602862700002402888700001602912700002602928700001902954700001902973700002802992700002403020700002303044700001603067700001803083700002003101700002103121700002003142700002003162700002203182700002003204700002303224700002203247856003603269 2014 eng d a1524-462800aPredicting stroke through genetic risk functions: the CHARGE Risk Score Project.0 aPredicting stroke through genetic risk functions the CHARGE Risk c2014 Feb a403-120 v453 aBACKGROUND AND PURPOSE: Beyond the Framingham Stroke Risk Score, prediction of future stroke may improve with a genetic risk score (GRS) based on single-nucleotide polymorphisms associated with stroke and its risk factors.
METHODS: The study includes 4 population-based cohorts with 2047 first incident strokes from 22,720 initially stroke-free European origin participants aged ≥55 years, who were followed for up to 20 years. GRSs were constructed with 324 single-nucleotide polymorphisms implicated in stroke and 9 risk factors. The association of the GRS to first incident stroke was tested using Cox regression; the GRS predictive properties were assessed with area under the curve statistics comparing the GRS with age and sex, Framingham Stroke Risk Score models, and reclassification statistics. These analyses were performed per cohort and in a meta-analysis of pooled data. Replication was sought in a case-control study of ischemic stroke.
RESULTS: In the meta-analysis, adding the GRS to the Framingham Stroke Risk Score, age and sex model resulted in a significant improvement in discrimination (all stroke: Δjoint area under the curve=0.016, P=2.3×10(-6); ischemic stroke: Δjoint area under the curve=0.021, P=3.7×10(-7)), although the overall area under the curve remained low. In all the studies, there was a highly significantly improved net reclassification index (P<10(-4)).
CONCLUSIONS: The single-nucleotide polymorphisms associated with stroke and its risk factors result only in a small improvement in prediction of future stroke compared with the classical epidemiological risk factors for stroke.
10aAge Factors10aAged10aAged, 80 and over10aArea Under Curve10aCase-Control Studies10aCohort Studies10aEuropean Continental Ancestry Group10aFemale10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aGenotype10aHumans10aMale10aMiddle Aged10aPolymorphism, Single Nucleotide10aRegression Analysis10aRisk Factors10aROC Curve10aSex Factors10aStroke1 aIbrahim-Verbaas, Carla, A1 aFornage, Myriam1 aBis, Joshua, C1 aChoi, Seung, Hoan1 aPsaty, Bruce, M1 aMeigs, James, B1 aRao, Madhu1 aNalls, Mike1 aFontes, João, D1 aO'Donnell, Christopher, J1 aKathiresan, Sekar1 aEhret, Georg, B1 aFox, Caroline, S1 aMalik, Rainer1 aDichgans, Martin1 aSchmidt, Helena1 aLahti, Jari1 aHeckbert, Susan, R1 aLumley, Thomas1 aRice, Kenneth1 aRotter, Jerome, I1 aTaylor, Kent, D1 aFolsom, Aaron, R1 aBoerwinkle, Eric1 aRosamond, Wayne, D1 aShahar, Eyal1 aGottesman, Rebecca, F1 aKoudstaal, Peter, J1 aAmin, Najaf1 aWieberdink, Renske, G1 aDehghan, Abbas1 aHofman, Albert1 aUitterlinden, André, G1 aDeStefano, Anita, L1 aDebette, Stephanie1 aXue, Luting1 aBeiser, Alexa1 aWolf, Philip, A1 aDeCarli, Charles1 aIkram, Arfan, M1 aSeshadri, Sudha1 aMosley, Thomas, H1 aLongstreth, W T1 aDuijn, Cornelia, M1 aLauner, Lenore, J uhttps://chs-nhlbi.org/node/622004315nas a2200901 4500008004100000022001400041245006300055210006000118260001600178300001200194490000700206520174600213653002201959653003701981653001802018653004002036653001802076653003402094653001302128653001102141653002002152653001502172653002702187653001402214653003602228653002802264100002302292700002502315700002002340700002602360700002302386700002002409700002102429700002202450700002002472700002002492700002302512700002202535700001902557700002002576700002502596700001802621700001902639700002102658700002102679700002402700700002102724700001602745700001402761700002102775700002302796700002002819700002202839700002102861700001902882700001502901700001902916700002102935700001902956700002802975700002303003700002103026700001803047700002503065700002003090700002303110700002503133700002203158700003003180700002303210700002103233700002203254700001903276710002203295710001103317710004903328856003603377 2014 eng d a1460-208300aTrans-ethnic meta-analysis of white blood cell phenotypes.0 aTransethnic metaanalysis of white blood cell phenotypes c2014 Dec 20 a6944-600 v233 aWhite blood cell (WBC) count is a common clinical measure used as a predictor of certain aspects of human health, including immunity and infection status. WBC count is also a complex trait that varies among individuals and ancestry groups. Differences in linkage disequilibrium structure and heterogeneity in allelic effects are expected to play a role in the associations observed between populations. Prior genome-wide association study (GWAS) meta-analyses have identified genomic loci associated with WBC and its subtypes, but much of the heritability of these phenotypes remains unexplained. Using GWAS summary statistics for over 50 000 individuals from three diverse populations (Japanese, African-American and European ancestry), a Bayesian model methodology was employed to account for heterogeneity between ancestry groups. This approach was used to perform a trans-ethnic meta-analysis of total WBC, neutrophil and monocyte counts. Ten previously known associations were replicated and six new loci were identified, including several regions harboring genes related to inflammation and immune cell function. Ninety-five percent credible interval regions were calculated to narrow the association signals and fine-map the putatively causal variants within loci. Finally, a conditional analysis was performed on the most significant SNPs identified by the trans-ethnic meta-analysis (MA), and nine secondary signals within loci previously associated with WBC or its subtypes were identified. This work illustrates the potential of trans-ethnic analysis and ascribes a critical role to multi-ethnic cohorts and consortia in exploring complex phenotypes with respect to variants that lie outside the European-biased GWAS pool.
10aAfrican Americans10aAsian Continental Ancestry Group10aBayes Theorem10aEuropean Continental Ancestry Group10aGenome, Human10aGenome-Wide Association Study10aGenotype10aHumans10aLeukocyte Count10aLeukocytes10aLinkage Disequilibrium10aPhenotype10aPolymorphism, Single Nucleotide10aQuantitative Trait Loci1 aKeller, Margaux, F1 aReiner, Alexander, P1 aOkada, Yukinori1 avan Rooij, Frank, J A1 aJohnson, Andrew, D1 aChen, Ming-Huei1 aSmith, Albert, V1 aMorris, Andrew, P1 aTanaka, Toshiko1 aFerrucci, Luigi1 aZonderman, Alan, B1 aLettre, Guillaume1 aHarris, Tamara1 aGarcia, Melissa1 aBandinelli, Stefania1 aQayyum, Rehan1 aYanek, Lisa, R1 aBecker, Diane, M1 aBecker, Lewis, C1 aKooperberg, Charles1 aKeating, Brendan1 aReis, Jared1 aTang, Hua1 aBoerwinkle, Eric1 aKamatani, Yoichiro1 aMatsuda, Koichi1 aKamatani, Naoyuki1 aNakamura, Yusuke1 aKubo, Michiaki1 aLiu, Simin1 aDehghan, Abbas1 aFelix, Janine, F1 aHofman, Albert1 aUitterlinden, André, G1 aDuijn, Cornelia, M1 aFranco, Oscar, H1 aLongo, Dan, L1 aSingleton, Andrew, B1 aPsaty, Bruce, M1 aEvans, Michelle, K1 aCupples, Adrienne, L1 aRotter, Jerome, I1 aO'Donnell, Christopher, J1 aTakahashi, Atsushi1 aWilson, James, G1 aGanesh, Santhi, K1 aNalls, Mike, A1 aCHARGE Hematology1 aCOGENT1 aBioBank Japan Project (RIKEN) Working Groups uhttps://chs-nhlbi.org/node/657303022nas a2200481 4500008004100000022001400041245011800055210006900173260001300242300001000255490000600265520167500271653001001946653002201956653001201978653002101990653004002011653001102051653001402062653002802076653001102104653000902115653001302124100001302137700002102150700001702171700002902188700002202217700001902239700002302258700002102281700002402302700002102326700002402347700001902371700001902390700002102409700002002430700001902450700001402469700002102483856003602504 2015 eng d a1942-326800aAssociation of Rare Loss-Of-Function Alleles in HAL, Serum Histidine: Levels and Incident Coronary Heart Disease.0 aAssociation of Rare LossOfFunction Alleles in HAL Serum Histidin c2015 Apr a351-50 v83 aBACKGROUND: Histidine is a semiessential amino acid with antioxidant and anti-inflammatory properties. Few data are available on the associations between genetic variants, histidine levels, and incident coronary heart disease (CHD) in a population-based sample.
METHODS AND RESULTS: By conducting whole exome sequencing on 1152 African Americans in the Atherosclerosis Risk in Communities (ARIC) study and focusing on loss-of-function (LoF) variants, we identified 3 novel rare LoF variants in HAL, a gene that encodes histidine ammonia-lyase in the first step of histidine catabolism. These LoF variants had large effects on blood histidine levels (β=0.26; P=1.2×10(-13)). The positive association with histidine levels was replicated by genotyping an independent sample of 718 ARIC African Americans (minor allele frequency=1%; P=1.2×10(-4)). In addition, high blood histidine levels were associated with reduced risk of developing incident CHD with an average of 21.5 years of follow-up among African Americans (hazard ratio=0.18; P=1.9×10(-4)). This finding was validated in an independent sample of European Americans from the Framingham Heart Study (FHS) Offspring Cohort. However, LoF variants in HAL were not directly significantly associated with incident CHD after meta-analyzing results from the CHARGE Consortium.
CONCLUSIONS: Three LoF mutations in HAL were associated with increased histidine levels, which in turn were shown to be inversely related to the risk of CHD among both African Americans and European Americans. Future investigations on the association between HAL gene variation and CHD are warranted.
10aAdult10aAfrican Americans10aAlleles10aCoronary Disease10aEuropean Continental Ancestry Group10aFemale10aHistidine10aHistidine Ammonia-Lyase10aHumans10aMale10aMutation1 aYu, Bing1 aLi, Alexander, H1 aMuzny, Donna1 aVeeraraghavan, Narayanan1 ade Vries, Paul, S1 aBis, Joshua, C1 aMusani, Solomon, K1 aAlexander, Danny1 aMorrison, Alanna, C1 aFranco, Oscar, H1 aUitterlinden, Andre1 aHofman, Albert1 aDehghan, Abbas1 aWilson, James, G1 aPsaty, Bruce, M1 aGibbs, Richard1 aWei, Peng1 aBoerwinkle, Eric uhttps://chs-nhlbi.org/node/668903694nas a2200529 4500008004100000022001400041245015700055210006900212260001300281300001000294490000800304520211100312653000902423653002202432653002802454653003502482653002102517653001102538653002202549653001302571653001902584653001102603653002302614653002502637653000902662653003702671653003602708653002402744653001702768653002702785100002202812700001902834700002002853700001802873700002002891700002202911700001902933700002102952700002002973700001802993700002403011700003003035700001703065700002403082700002203106856003603128 2015 eng d a1879-148400aFetuin-A and risk of coronary heart disease: A Mendelian randomization analysis and a pooled analysis of AHSG genetic variants in 7 prospective studies.0 aFetuinA and risk of coronary heart disease A Mendelian randomiza c2015 Nov a44-520 v2433 aBACKGROUND AND AIMS: Fetuin-A has a plausible role in the inhibition of arterial calcification, but its association with risk of coronary heart disease (CHD) in the general population is unclear. We used two common genetic variants in the fetuin-A gene (AHSG) that are strongly associated with circulating fetuin-A levels to investigate the associations with risk of CHD and subclinical cardiovascular measures (intima-media thickness, ankle-arm index, and coronary artery calcification).
METHODS: Genetic variation and fetuin-A levels were assessed in 3299 community-living individuals (2733 Caucasians and 566 African Americans) 65 years of age or older, free of previous cardiovascular disease, who participated in the Cardiovascular Health Study (CHS) in 1992-1993.
RESULTS: Among Caucasians, both rs2248690 and rs4917 were associated with 12% lower fetuin-A concentrations per minor allele (P < 0.0001). The hazard ratios (HRs) per minor allele for incident CHD were 1.12 (95% CI: 1.00-1.26) for rs2248690 and 1.02 (0.91-1.14) for rs4917. Using both genotypes as an instrumental variable for measured fetuin-A, the HRs for one standard deviation increase in genetically determined fetuin-A levels on CHD risk were 0.84 (95% CI: 0.70-1.00) for rs2248690 and 0.97 (95% CI: 0.82-1.14) for rs4917, respectively. However, in CHS neither of the genotypes were associated with subclinical cardiovascular measures and when CHS data were meta-analyzed with data from six other prospective studies (totaling 26,702 Caucasian participants and 3295 CHD cases), the meta-analyzed HRs for incident CHD were 1.12 (0.93-1.34) and 1.06 (0.93-1.20) for rs2248690 and rs4917, respectively (p heterogeneity 0.005 and 0.0048).
CONCLUSION: Common variants in the AHSG gene are strongly associated with fetuin-A levels, but their concurrent association with CHD risk in current prospective studies is inconsistent. Further investigation in studies with measured fetuin-A and AHSG variants is needed to clarify the potential causal association of fetuin-A with CHD risk.
10aAged10aAged, 80 and over10aalpha-2-HS-Glycoprotein10aCarotid Intima-Media Thickness10aCoronary Vessels10aFemale10aGenetic Variation10aGenotype10aHeart Diseases10aHumans10aInsulin Resistance10aLongitudinal Studies10aMale10aMendelian Randomization Analysis10aPolymorphism, Single Nucleotide10aProspective Studies10aRisk Factors10aVascular Calcification1 aLaugsand, Lars, E1 aIx, Joachim, H1 aBartz, Traci, M1 aDjoussé, Luc1 aKizer, Jorge, R1 aTracy, Russell, P1 aDehghan, Abbas1 aRexrode, Kathryn1 aLopez, Oscar, L1 aRimm, Eric, B1 aSiscovick, David, S1 aO'Donnell, Christopher, J1 aNewman, Anne1 aMukamal, Kenneth, J1 aJensen, Majken, K uhttps://chs-nhlbi.org/node/685309013nas a2202797 4500008004100000022001400041245011400055210006900169260000900238300000900247490000600256520115900262653003901421653001801460653003001478653004001508653001001548653001201558653003201570653001701602653003801619653002201657653003701679653002601716653001101742653001201753653001801765653004401783653003601827100002101863700001901884700002101903700001601924700002301940700002301963700001801986700002502004700002402029700002202053700002002075700001502095700002502110700001302135700001802148700003102166700001802197700002102215700001102236700002602247700002502273700002002298700001902318700001702337700002302354700002002377700002302397700002302420700001702443700001602460700001802476700002602494700002102520700002002541700001202561700002002573700002102593700002402614700001902638700002502657700002502682700002302707700002102730700002102751700002202772700002302794700002502817700002002842700002002862700002302882700001602905700002402921700001402945700002302959700002502982700002103007700002303028700002203051700001903073700001703092700001903109700002003128700001903148700002203167700001903189700002003208700002403228700002203252700002503274700002303299700002203322700002303344700002403367700001503391700002003406700002003426700002303446700001403469700002103483700001703504700001803521700002303539700002303562700002503585700002303610700002403633700001903657700002403676700001903700700002203719700002003741700001403761700001803775700001703793700001703810700001603827700001703843700002503860700002103885700002203906700002203928700002003950700002203970700002003992700002704012700001704039700002304056700002104079700002004100700001904120700002604139700001804165700001904183700002104202700002004223700001404243700002004257700002004277700002704297700002304324700002004347700002804367700001804395700002304413700002304436700002704459700001704486700002104503700002704524700001804551700001904569700001904588700002104607700001904628700002004647700002504667700001904692700002004711700002204731700002004753700002304773700002004796700002004816700002104836700002104857700002204878700001704900700002604917700001904943700002404962700002204986700002005008700002005028700002105048700002005069700002205089700002405111700002005135700002205155700002605177700002205203700001905225700002405244700002405268700002205292700001705314700001905331700003005350700002305380700002505403700002105428700001905449700002505468700002105493700002005514700001605534700002505550700002005575700002805595700001705623700001805640700001805658700002405676700001905700700002305719700002305742700001905765700002005784700001905804700002305823700002505846700002405871700002105895700002005916700002005936700002005956700002105976700002505997700002406022700001906046700002206065700002006087700002106107700002206128710002906150856003606179 2015 eng d a2041-172300aLow-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility.0 aLowfrequency and rare exome chip variants associate with fasting c2015 a58970 v63 aFasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01 mmol l(-1), P=3.4 × 10(-12)), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16±0.05 mmol l(-1), P=4.3 × 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 × 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004 mmol l(-1), P=1.3 × 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.
10aAfrican Continental Ancestry Group10aBlood Glucose10aDiabetes Mellitus, Type 210aEuropean Continental Ancestry Group10aExome10aFasting10aGenetic Association Studies10aGenetic Loci10aGenetic Predisposition to Disease10aGenetic Variation10aGlucagon-Like Peptide-1 Receptor10aGlucose-6-Phosphatase10aHumans10aInsulin10aMutation Rate10aOligonucleotide Array Sequence Analysis10aPolymorphism, Single Nucleotide1 aWessel, Jennifer1 aChu, Audrey, Y1 aWillems, Sara, M1 aWang, Shuai1 aYaghootkar, Hanieh1 aBrody, Jennifer, A1 aDauriz, Marco1 aHivert, Marie-France1 aRaghavan, Sridharan1 aLipovich, Leonard1 aHidalgo, Bertha1 aFox, Keolu1 aHuffman, Jennifer, E1 aAn, Ping1 aLu, Yingchang1 aRasmussen-Torvik, Laura, J1 aGrarup, Niels1 aEhm, Margaret, G1 aLi, Li1 aBaldridge, Abigail, S1 aStančáková, Alena1 aAbrol, Ravinder1 aBesse, Céline1 aBoland, Anne1 aBork-Jensen, Jette1 aFornage, Myriam1 aFreitag, Daniel, F1 aGarcia, Melissa, E1 aGuo, Xiuqing1 aHara, Kazuo1 aIsaacs, Aaron1 aJakobsdottir, Johanna1 aLange, Leslie, A1 aLayton, Jill, C1 aLi, Man1 aZhao, Jing, Hua1 aMeidtner, Karina1 aMorrison, Alanna, C1 aNalls, Mike, A1 aPeters, Marjolein, J1 aSabater-Lleal, Maria1 aSchurmann, Claudia1 aSilveira, Angela1 aSmith, Albert, V1 aSoutham, Lorraine1 aStoiber, Marcus, H1 aStrawbridge, Rona, J1 aTaylor, Kent, D1 aVarga, Tibor, V1 aAllin, Kristine, H1 aAmin, Najaf1 aAponte, Jennifer, L1 aAung, Tin1 aBarbieri, Caterina1 aBihlmeyer, Nathan, A1 aBoehnke, Michael1 aBombieri, Cristina1 aBowden, Donald, W1 aBurns, Sean, M1 aChen, Yuning1 aChen, Yii-DerI1 aCheng, Ching-Yu1 aCorrea, Adolfo1 aCzajkowski, Jacek1 aDehghan, Abbas1 aEhret, Georg, B1 aEiriksdottir, Gudny1 aEscher, Stefan, A1 aFarmaki, Aliki-Eleni1 aFrånberg, Mattias1 aGambaro, Giovanni1 aGiulianini, Franco1 aGoddard, William, A1 aGoel, Anuj1 aGottesman, Omri1 aGrove, Megan, L1 aGustafsson, Stefan1 aHai, Yang1 aHallmans, Göran1 aHeo, Jiyoung1 aHoffmann, Per1 aIkram, Mohammad, K1 aJensen, Richard, A1 aJørgensen, Marit, E1 aJørgensen, Torben1 aKaraleftheri, Maria1 aKhor, Chiea, C1 aKirkpatrick, Andrea1 aKraja, Aldi, T1 aKuusisto, Johanna1 aLange, Ethan, M1 aLee, I, T1 aLee, Wen-Jane1 aLeong, Aaron1 aLiao, Jiemin1 aLiu, Chunyu1 aLiu, Yongmei1 aLindgren, Cecilia, M1 aLinneberg, Allan1 aMalerba, Giovanni1 aMamakou, Vasiliki1 aMarouli, Eirini1 aMaruthur, Nisa, M1 aMatchan, Angela1 aMcKean-Cowdin, Roberta1 aMcLeod, Olga1 aMetcalf, Ginger, A1 aMohlke, Karen, L1 aMuzny, Donna, M1 aNtalla, Ioanna1 aPalmer, Nicholette, D1 aPasko, Dorota1 aPeter, Andreas1 aRayner, Nigel, W1 aRenstrom, Frida1 aRice, Ken1 aSala, Cinzia, F1 aSennblad, Bengt1 aSerafetinidis, Ioannis1 aSmith, Jennifer, A1 aSoranzo, Nicole1 aSpeliotes, Elizabeth, K1 aStahl, Eli, A1 aStirrups, Kathleen1 aTentolouris, Nikos1 aThanopoulou, Anastasia1 aTorres, Mina1 aTraglia, Michela1 aTsafantakis, Emmanouil1 aJavad, Sundas1 aYanek, Lisa, R1 aZengini, Eleni1 aBecker, Diane, M1 aBis, Joshua, C1 aBrown, James, B1 aCupples, Adrienne, L1 aHansen, Torben1 aIngelsson, Erik1 aKarter, Andrew, J1 aLorenzo, Carlos1 aMathias, Rasika, A1 aNorris, Jill, M1 aPeloso, Gina, M1 aSheu, Wayne, H-H1 aToniolo, Daniela1 aVaidya, Dhananjay1 aVarma, Rohit1 aWagenknecht, Lynne, E1 aBoeing, Heiner1 aBottinger, Erwin, P1 aDedoussis, George1 aDeloukas, Panos1 aFerrannini, Ele1 aFranco, Oscar, H1 aFranks, Paul, W1 aGibbs, Richard, A1 aGudnason, Vilmundur1 aHamsten, Anders1 aHarris, Tamara, B1 aHattersley, Andrew, T1 aHayward, Caroline1 aHofman, Albert1 aJansson, Jan-Håkan1 aLangenberg, Claudia1 aLauner, Lenore, J1 aLevy, Daniel1 aOostra, Ben, A1 aO'Donnell, Christopher, J1 aO'Rahilly, Stephen1 aPadmanabhan, Sandosh1 aPankow, James, S1 aPolasek, Ozren1 aProvince, Michael, A1 aRich, Stephen, S1 aRidker, Paul, M1 aRudan, Igor1 aSchulze, Matthias, B1 aSmith, Blair, H1 aUitterlinden, André, G1 aWalker, Mark1 aWatkins, Hugh1 aWong, Tien, Y1 aZeggini, Eleftheria1 aLaakso, Markku1 aBorecki, Ingrid, B1 aChasman, Daniel, I1 aPedersen, Oluf1 aPsaty, Bruce, M1 aTai, Shyong, E1 aDuijn, Cornelia, M1 aWareham, Nicholas, J1 aWaterworth, Dawn, M1 aBoerwinkle, Eric1 aKao, Linda, W H1 aFlorez, Jose, C1 aLoos, Ruth, J F1 aWilson, James, G1 aFrayling, Timothy, M1 aSiscovick, David, S1 aDupuis, Josée1 aRotter, Jerome, I1 aMeigs, James, B1 aScott, Robert, A1 aGoodarzi, Mark, O1 aEPIC-InterAct Consortium uhttps://chs-nhlbi.org/node/668604476nas a2201081 4500008004100000022001400041245011400055210006900169260001600238300001100254490000800265520141200273653001901685653001501704653001601719653001501735653001901750653003201769653002201801653001101823653002601834653003601860653002301896653002601919100002501945700002201970700002401992700002502016700002002041700001802061700002302079700002302102700002002125700001702145700001502162700002502177700003002202700001902232700002102251700002002272700002502292700001802317700002202335700001502357700002002372700002102392700001902413700001802432700002602450700001902476700001502495700002002510700002202530700002802552700002202580700001302602700001802615700001702633700002602650700002102676700002102697700002302718700002402741700001902765700002402784700002402808700002102832700001902853700002402872700002502896700002002921700002202941700002102963700001602984700002303000700002003023700002003043700002403063700001703087700001803104700002003122700002003142700001803162700002103180700002103201700002203222700002203244700001903266700002003285700003003305700002303335856003603358 2015 eng d a1528-002000aRare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF.0 aRare and lowfrequency variants and their association with plasma c2015 Sep 10 ae19-290 v1263 aFibrinogen, coagulation factor VII (FVII), and factor VIII (FVIII) and its carrier von Willebrand factor (vWF) play key roles in hemostasis. Previously identified common variants explain only a small fraction of the trait heritabilities, and additional variations may be explained by associations with rarer variants with larger effects. The aim of this study was to identify low-frequency (minor allele frequency [MAF] ≥0.01 and <0.05) and rare (MAF <0.01) variants that influence plasma concentrations of these 4 hemostatic factors by meta-analyzing exome chip data from up to 76,000 participants of 4 ancestries. We identified 12 novel associations of low-frequency (n = 2) and rare (n = 10) variants across the fibrinogen, FVII, FVIII, and vWF traits that were independent of previously identified associations. Novel loci were found within previously reported genes and had effect sizes much larger than and independent of previously identified common variants. In addition, associations at KCNT1, HID1, and KATNB1 identified new candidate genes related to hemostasis for follow-up replication and functional genomic analysis. Newly identified low-frequency and rare-variant associations accounted for modest amounts of trait variance and therefore are unlikely to increase predicted trait heritability but provide new information for understanding individual variation in hemostasis pathways.
10aCohort Studies10aFactor VII10aFactor VIII10aFibrinogen10aGene Frequency10aGenetic Association Studies10aGenetic Variation10aHumans10aNerve Tissue Proteins10aPolymorphism, Single Nucleotide10aPotassium Channels10avon Willebrand Factor1 aHuffman, Jennifer, E1 ade Vries, Paul, S1 aMorrison, Alanna, C1 aSabater-Lleal, Maria1 aKacprowski, Tim1 aAuer, Paul, L1 aBrody, Jennifer, A1 aChasman, Daniel, I1 aChen, Ming-Huei1 aGuo, Xiuqing1 aLin, Li-An1 aMarioni, Riccardo, E1 aMüller-Nurasyid, Martina1 aYanek, Lisa, R1 aPankratz, Nathan1 aGrove, Megan, L1 ade Maat, Moniek, P M1 aCushman, Mary1 aWiggins, Kerri, L1 aQi, Lihong1 aSennblad, Bengt1 aHarris, Sarah, E1 aPolasek, Ozren1 aRiess, Helene1 aRivadeneira, Fernando1 aRose, Lynda, M1 aGoel, Anuj1 aTaylor, Kent, D1 aTeumer, Alexander1 aUitterlinden, André, G1 aVaidya, Dhananjay1 aYao, Jie1 aTang, Weihong1 aLevy, Daniel1 aWaldenberger, Melanie1 aBecker, Diane, M1 aFolsom, Aaron, R1 aGiulianini, Franco1 aGreinacher, Andreas1 aHofman, Albert1 aHuang, Chiang-Ching1 aKooperberg, Charles1 aSilveira, Angela1 aStarr, John, M1 aStrauch, Konstantin1 aStrawbridge, Rona, J1 aWright, Alan, F1 aMcKnight, Barbara1 aFranco, Oscar, H1 aZakai, Neil1 aMathias, Rasika, A1 aPsaty, Bruce, M1 aRidker, Paul, M1 aTofler, Geoffrey, H1 aVölker, Uwe1 aWatkins, Hugh1 aFornage, Myriam1 aHamsten, Anders1 aDeary, Ian, J1 aBoerwinkle, Eric1 aKoenig, Wolfgang1 aRotter, Jerome, I1 aHayward, Caroline1 aDehghan, Abbas1 aReiner, Alex, P1 aO'Donnell, Christopher, J1 aSmith, Nicholas, L uhttps://chs-nhlbi.org/node/678803870nas a2200721 4500008004100000022001400041245012000055210006900175260001300244300001200257490000800269520185000277653001002127653002602137653001102163653001102174653001902185653001402204653000902218653001702227653001102244653001602255100001802271700002702289700002602316700002002342700002002362700002102382700002502403700001902428700002602447700002102473700001902494700002902513700001802542700002102560700002002581700001402601700002302615700002202638700002002660700002002680700002302700700002102723700002302744700002102767700002402788700001902812700001902831700002302850700002202873700001902895700001802914700001802932700002102950700001902971700002102990700002403011700002103035700002203056710003403078856003603112 2015 eng d a1945-719700aSubclinical Hypothyroidism and the Risk of Stroke Events and Fatal Stroke: An Individual Participant Data Analysis.0 aSubclinical Hypothyroidism and the Risk of Stroke Events and Fat c2015 Jun a2181-910 v1003 aOBJECTIVE: The objective was to determine the risk of stroke associated with subclinical hypothyroidism.
DATA SOURCES AND STUDY SELECTION: Published prospective cohort studies were identified through a systematic search through November 2013 without restrictions in several databases. Unpublished studies were identified through the Thyroid Studies Collaboration. We collected individual participant data on thyroid function and stroke outcome. Euthyroidism was defined as TSH levels of 0.45-4.49 mIU/L, and subclinical hypothyroidism was defined as TSH levels of 4.5-19.9 mIU/L with normal T4 levels.
DATA EXTRACTION AND SYNTHESIS: We collected individual participant data on 47 573 adults (3451 subclinical hypothyroidism) from 17 cohorts and followed up from 1972-2014 (489 192 person-years). Age- and sex-adjusted pooled hazard ratios (HRs) for participants with subclinical hypothyroidism compared to euthyroidism were 1.05 (95% confidence interval [CI], 0.91-1.21) for stroke events (combined fatal and nonfatal stroke) and 1.07 (95% CI, 0.80-1.42) for fatal stroke. Stratified by age, the HR for stroke events was 3.32 (95% CI, 1.25-8.80) for individuals aged 18-49 years. There was an increased risk of fatal stroke in the age groups 18-49 and 50-64 years, with a HR of 4.22 (95% CI, 1.08-16.55) and 2.86 (95% CI, 1.31-6.26), respectively (p trend 0.04). We found no increased risk for those 65-79 years old (HR, 1.00; 95% CI, 0.86-1.18) or ≥ 80 years old (HR, 1.31; 95% CI, 0.79-2.18). There was a pattern of increased risk of fatal stroke with higher TSH concentrations.
CONCLUSIONS: Although no overall effect of subclinical hypothyroidism on stroke could be demonstrated, an increased risk in subjects younger than 65 years and those with higher TSH concentrations was observed.
10aAdult10aAsymptomatic Diseases10aFemale10aHumans10aHypothyroidism10aIncidence10aMale10aRisk Factors10aStroke10aThyrotropin1 aChaker, Layal1 aBaumgartner, Christine1 aElzen, Wendy, P J den1 aIkram, Arfan, M1 aBlum, Manuel, R1 aCollet, Tinh-Hai1 aBakker, Stephan, J L1 aDehghan, Abbas1 aDrechsler, Christiane1 aLuben, Robert, N1 aHofman, Albert1 aPortegies, Marileen, L P1 aMedici, Marco1 aIervasi, Giorgio1 aStott, David, J1 aFord, Ian1 aBremner, Alexandra1 aWanner, Christoph1 aFerrucci, Luigi1 aNewman, Anne, B1 aDullaart, Robin, P1 aSgarbi, José, A1 aCeresini, Graziano1 aMaciel, Rui, M B1 aWestendorp, Rudi, G1 aJukema, Wouter1 aImaizumi, Misa1 aFranklyn, Jayne, A1 aBauer, Douglas, C1 aWalsh, John, P1 aRazvi, Salman1 aKhaw, Kay-Tee1 aCappola, Anne, R1 aVölzke, Henry1 aFranco, Oscar, H1 aGussekloo, Jacobijn1 aRodondi, Nicolas1 aPeeters, Robin, P1 aThyroid Studies Collaboration uhttps://chs-nhlbi.org/node/680003786nas a2200841 4500008004100000022001400041245009800055210006900153260001300222300001300235490000700248520140700255100001801662700002101680700002401701700002801725700002001753700001901773700001801792700001801810700002001828700002301848700001901871700002001890700001801910700001901928700001801947700002201965700001701987700002502004700002002029700001902049700002102068700002102089700002302110700002402133700002002157700001402177700001402191700001602205700002202221700001502243700002602258700002802284700001702312700002102329700001902350700002602369700002802395700002002423700002402443700002602467700001902493700001702512700001702529700002002546700002502566700001902591700001802610700002102628700002102649700002102670700002902691700001802720700002702738700002302765700002302788710002602811710002302837710002202860710002602882856003602908 2016 eng d a1553-740400aDiscovery of Genetic Variation on Chromosome 5q22 Associated with Mortality in Heart Failure.0 aDiscovery of Genetic Variation on Chromosome 5q22 Associated wit c2016 May ae10060340 v123 aFailure of the human heart to maintain sufficient output of blood for the demands of the body, heart failure, is a common condition with high mortality even with modern therapeutic alternatives. To identify molecular determinants of mortality in patients with new-onset heart failure, we performed a meta-analysis of genome-wide association studies and follow-up genotyping in independent populations. We identified and replicated an association for a genetic variant on chromosome 5q22 with 36% increased risk of death in subjects with heart failure (rs9885413, P = 2.7x10-9). We provide evidence from reporter gene assays, computational predictions and epigenomic marks that this polymorphism increases activity of an enhancer region active in multiple human tissues. The polymorphism was further reproducibly associated with a DNA methylation signature in whole blood (P = 4.5x10-40) that also associated with allergic sensitization and expression in blood of the cytokine TSLP (P = 1.1x10-4). Knockdown of the transcription factor predicted to bind the enhancer region (NHLH1) in a human cell line (HEK293) expressing NHLH1 resulted in lower TSLP expression. In addition, we observed evidence of recent positive selection acting on the risk allele in populations of African descent. Our findings provide novel genetic leads to factors that influence mortality in patients with heart failure.
1 aSmith, Gustav1 aFelix, Janine, F1 aMorrison, Alanna, C1 aKalogeropoulos, Andreas1 aTrompet, Stella1 aWilk, Jemma, B1 aGidlöf, Olof1 aWang, Xinchen1 aMorley, Michael1 aMendelson, Michael1 aJoehanes, Roby1 aLigthart, Symen1 aShan, Xiaoyin1 aBis, Joshua, C1 aWang, Ying, A1 aSjögren, Marketa1 aNgwa, Julius1 aBrandimarto, Jeffrey1 aStott, David, J1 aAguilar, David1 aRice, Kenneth, M1 aSesso, Howard, D1 aDemissie, Serkalem1 aBuckley, Brendan, M1 aTaylor, Kent, D1 aFord, Ian1 aYao, Chen1 aLiu, Chunyu1 aSotoodehnia, Nona1 aHarst, Pim1 aStricker, Bruno, H Ch1 aKritchevsky, Stephen, B1 aLiu, Yongmei1 aGaziano, Michael1 aHofman, Albert1 aMoravec, Christine, S1 aUitterlinden, André, G1 aKellis, Manolis1 avan Meurs, Joyce, B1 aMargulies, Kenneth, B1 aDehghan, Abbas1 aLevy, Daniel1 aOlde, Björn1 aPsaty, Bruce, M1 aCupples, Adrienne, L1 aJukema, Wouter1 aDjoussé, Luc1 aFranco, Oscar, H1 aBoerwinkle, Eric1 aBoyer, Laurie, A1 aNewton-Cheh, Christopher1 aButler, Javed1 aVasan, Ramachandran, S1 aCappola, Thomas, P1 aSmith, Nicholas, L1 aCHARGE-SCD consortium1 aEchoGen consortium1 aQT-IGC consortium1 aCHARGE-QRS consortium uhttps://chs-nhlbi.org/node/714405220nas a2201201 4500008004100000022001400041245010300055210006900158260001600227300000800243490000700251520181700258100002002075700001802095700002302113700002602136700002302162700002002185700002002205700002202225700001902247700001702266700002302283700001602306700002202322700001702344700001802361700001802379700002802397700001902425700001902444700002002463700002202483700002202505700001702527700002302544700001302567700002302580700001902603700002302622700002202645700002102667700002102688700001802709700001602727700001402743700002402757700002902781700002102810700002502831700001802856700002002874700002002894700002102914700001902935700001902954700002202973700002102995700001403016700001603030700002003046700001903066700001903085700002003104700001903124700002503143700002203168700002403190700001903214700002303233700002403256700002403280700002103304700002503325700002503350700002503375700002003400700002603420700002203446700002203468700002303490700002803513700002603541700002103567700002203588700001703610700002303627700001803650700002203668700001903690700002003709700001603729700002903745700002103774700002103795700002103816700002603837700002403863700001903887710002703906710004903933856003603982 2016 eng d a1474-760X00aDNA methylation signatures of chronic low-grade inflammation are associated with complex diseases.0 aDNA methylation signatures of chronic lowgrade inflammation are c2016 Dec 12 a2550 v173 aBACKGROUND: Chronic low-grade inflammation reflects a subclinical immune response implicated in the pathogenesis of complex diseases. Identifying genetic loci where DNA methylation is associated with chronic low-grade inflammation may reveal novel pathways or therapeutic targets for inflammation.
RESULTS: We performed a meta-analysis of epigenome-wide association studies (EWAS) of serum C-reactive protein (CRP), which is a sensitive marker of low-grade inflammation, in a large European population (n = 8863) and trans-ethnic replication in African Americans (n = 4111). We found differential methylation at 218 CpG sites to be associated with CRP (P < 1.15 × 10(-7)) in the discovery panel of European ancestry and replicated (P < 2.29 × 10(-4)) 58 CpG sites (45 unique loci) among African Americans. To further characterize the molecular and clinical relevance of the findings, we examined the association with gene expression, genetic sequence variants, and clinical outcomes. DNA methylation at nine (16%) CpG sites was associated with whole blood gene expression in cis (P < 8.47 × 10(-5)), ten (17%) CpG sites were associated with a nearby genetic variant (P < 2.50 × 10(-3)), and 51 (88%) were also associated with at least one related cardiometabolic entity (P < 9.58 × 10(-5)). An additive weighted score of replicated CpG sites accounted for up to 6% inter-individual variation (R2) of age-adjusted and sex-adjusted CRP, independent of known CRP-related genetic variants.
CONCLUSION: We have completed an EWAS of chronic low-grade inflammation and identified many novel genetic loci underlying inflammation that may serve as targets for the development of novel therapeutic interventions for inflammation.
1 aLigthart, Symen1 aMarzi, Carola1 aAslibekyan, Stella1 aMendelson, Michael, M1 aConneely, Karen, N1 aTanaka, Toshiko1 aColicino, Elena1 aWaite, Lindsay, L1 aJoehanes, Roby1 aGuan, Weihua1 aBrody, Jennifer, A1 aElks, Cathy1 aMarioni, Riccardo1 aJhun, Min, A1 aAgha, Golareh1 aBressler, Jan1 aWard-Caviness, Cavin, K1 aChen, Brian, H1 aHuan, Tianxiao1 aBakulski, Kelly1 aSalfati, Elias, L1 aFiorito, Giovanni1 aWahl, Simone1 aSchramm, Katharina1 aSha, Jin1 aHernandez, Dena, G1 aJust, Allan, C1 aSmith, Jennifer, A1 aSotoodehnia, Nona1 aPilling, Luke, C1 aPankow, James, S1 aTsao, Phil, S1 aLiu, Chunyu1 aZhao, Wei1 aGuarrera, Simonetta1 aMichopoulos, Vasiliki, J1 aSmith, Alicia, K1 aPeters, Marjolein, J1 aMelzer, David1 aVokonas, Pantel1 aFornage, Myriam1 aProkisch, Holger1 aBis, Joshua, C1 aChu, Audrey, Y1 aHerder, Christian1 aGrallert, Harald1 aYao, Chen1 aShah, Sonia1 aMcRae, Allan, F1 aLin, Honghuang1 aHorvath, Steve1 aFallin, Daniele1 aHofman, Albert1 aWareham, Nicholas, J1 aWiggins, Kerri, L1 aFeinberg, Andrew, P1 aStarr, John, M1 aVisscher, Peter, M1 aMurabito, Joanne, M1 aKardia, Sharon, L R1 aAbsher, Devin, M1 aBinder, Elisabeth, B1 aSingleton, Andrew, B1 aBandinelli, Stefania1 aPeters, Annette1 aWaldenberger, Melanie1 aMatullo, Giuseppe1 aSchwartz, Joel, D1 aDemerath, Ellen, W1 aUitterlinden, André, G1 avan Meurs, Joyce, B J1 aFranco, Oscar, H1 aChen, Yii-Der Ida1 aLevy, Daniel1 aTurner, Stephen, T1 aDeary, Ian, J1 aRessler, Kerry, J1 aDupuis, Josée1 aFerrucci, Luigi1 aOng, Ken, K1 aAssimes, Themistocles, L1 aBoerwinkle, Eric1 aKoenig, Wolfgang1 aArnett, Donna, K1 aBaccarelli, Andrea, A1 aBenjamin, Emelia, J1 aDehghan, Abbas1 aWHI-EMPC Investigators1 aCHARGE epigenetics of Coronary Heart Disease uhttps://chs-nhlbi.org/node/734905079nas a2201093 4500008004100000022001400041245015000055210006900205260000900274300001300283490000700296520193900303653000902242653001902251653002502270653002802295653001102323653003802334653003402372653001102406653000902417653001602426653002602442653003602468653002402504100001902528700001902547700002202566700002602588700002402614700002502638700002002663700002302683700001902706700001702725700002402742700002002766700002202786700002102808700002802829700002302857700001402880700001802894700002002912700002802932700002402960700002702984700002303011700001903034700001903053700002303072700002203095700002403117700002303141700002003164700002403184700002303208700001803231700002403249700002103273700002403294700002003318700001603338700001503354700002203369700001903391700002003410700001903430700001703449700002203466700001903488700002603507700001903533700002003552700001803572700002403590700001703614700002003631700002603651700002203677700001703699700001703716700001803733700001903751700001903770700002003789700002403809700002103833700002403854700002003878700002103898700003003919856003603949 2016 eng d a1932-620300aGenome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium.0 aGenomeWide Association Study for Incident Myocardial Infarction c2016 ae01449970 v113 aBACKGROUND: Data are limited on genome-wide association studies (GWAS) for incident coronary heart disease (CHD). Moreover, it is not known whether genetic variants identified to date also associate with risk of CHD in a prospective setting.
METHODS: We performed a two-stage GWAS analysis of incident myocardial infarction (MI) and CHD in a total of 64,297 individuals (including 3898 MI cases, 5465 CHD cases). SNPs that passed an arbitrary threshold of 5×10-6 in Stage I were taken to Stage II for further discovery. Furthermore, in an analysis of prognosis, we studied whether known SNPs from former GWAS were associated with total mortality in individuals who experienced MI during follow-up.
RESULTS: In Stage I 15 loci passed the threshold of 5×10-6; 8 loci for MI and 8 loci for CHD, for which one locus overlapped and none were reported in previous GWAS meta-analyses. We took 60 SNPs representing these 15 loci to Stage II of discovery. Four SNPs near QKI showed nominally significant association with MI (p-value<8.8×10-3) and three exceeded the genome-wide significance threshold when Stage I and Stage II results were combined (top SNP rs6941513: p = 6.2×10-9). Despite excellent power, the 9p21 locus SNP (rs1333049) was only modestly associated with MI (HR = 1.09, p-value = 0.02) and marginally with CHD (HR = 1.06, p-value = 0.08). Among an inception cohort of those who experienced MI during follow-up, the risk allele of rs1333049 was associated with a decreased risk of subsequent mortality (HR = 0.90, p-value = 3.2×10-3).
CONCLUSIONS: QKI represents a novel locus that may serve as a predictor of incident CHD in prospective studies. The association of the 9p21 locus both with increased risk of first myocardial infarction and longer survival after MI highlights the importance of study design in investigating genetic determinants of complex disorders.
10aAged10aCohort Studies10aCooperative Behavior10aCoronary Artery Disease10aFemale10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aHumans10aMale10aMiddle Aged10aMyocardial Infarction10aPolymorphism, Single Nucleotide10aProspective Studies1 aDehghan, Abbas1 aBis, Joshua, C1 aWhite, Charles, C1 aSmith, Albert, Vernon1 aMorrison, Alanna, C1 aCupples, Adrienne, L1 aTrompet, Stella1 aChasman, Daniel, I1 aLumley, Thomas1 aVölker, Uwe1 aBuckley, Brendan, M1 aDing, Jingzhong1 aJensen, Majken, K1 aFolsom, Aaron, R1 aKritchevsky, Stephen, B1 aGirman, Cynthia, J1 aFord, Ian1 aDörr, Marcus1 aSalomaa, Veikko1 aUitterlinden, André, G1 aEiriksdottir, Gudny1 aVasan, Ramachandran, S1 aFranceschini, Nora1 aCarty, Cara, L1 aVirtamo, Jarmo1 aDemissie, Serkalem1 aAmouyel, Philippe1 aArveiler, Dominique1 aHeckbert, Susan, R1 aFerrieres, Jean1 aDucimetiere, Pierre1 aSmith, Nicholas, L1 aWang, Ying, A1 aSiscovick, David, S1 aRice, Kenneth, M1 aWiklund, Per-Gunnar1 aTaylor, Kent, D1 aEvans, Alun1 aKee, Frank1 aRotter, Jerome, I1 aKarvanen, Juha1 aKuulasmaa, Kari1 aHeiss, Gerardo1 aKraft, Peter1 aLauner, Lenore, J1 aHofman, Albert1 aMarkus, Marcello, R P1 aRose, Lynda, M1 aSilander, Kaisa1 aWagner, Peter1 aBenjamin, Emelia, J1 aLohman, Kurt1 aStott, David, J1 aRivadeneira, Fernando1 aHarris, Tamara, B1 aLevy, Daniel1 aLiu, Yongmei1 aRimm, Eric, B1 aJukema, Wouter1 aVölzke, Henry1 aRidker, Paul, M1 aBlankenberg, Stefan1 aFranco, Oscar, H1 aGudnason, Vilmundur1 aPsaty, Bruce, M1 aBoerwinkle, Eric1 aO'Donnell, Christopher, J uhttps://chs-nhlbi.org/node/700405559nas a2201297 4500008004100000022001400041245013800055210006900193260001500262300001000277490000700287520188700294100002402181700002202205700002002227700002002247700001602267700002302283700001602306700002002322700001202342700002802354700002102382700002102403700002802424700002102452700001702473700002102490700002602511700002302537700002702560700002402587700002502611700001902636700001602655700002002671700002602691700002002717700002402737700002202761700002502783700002102808700001702829700001802846700001902864700002302883700002602906700001702932700001902949700002402968700002102992700002803013700002003041700002003061700002103081700002103102700002303123700001903146700002003165700002003185700001203205700002403217700002403241700002103265700002403286700002103310700002103331700002103352700002003373700002403393700002203417700001903439700001803458700001703476700002203493700002203515700001803537700002103555700002403576700002403600700002103624700002403645700002003669700002603689700002303715700002303738700001803761700001803779700001803797700002203815700002403837700002003861700002003881700002203901700002203923700001903945700002103964700002203985700002004007700001604027700002004043700002104063700001804084700002304102700002104125700001904146700002204165700002004187700001804207856003604225 2016 eng d a1537-660500aLarge-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases.0 aLargeScale Exomewide Association Analysis Identifies Loci for Wh c2016 Jul 7 a22-390 v993 aWhite blood cells play diverse roles in innate and adaptive immunity. Genetic association analyses of phenotypic variation in circulating white blood cell (WBC) counts from large samples of otherwise healthy individuals can provide insights into genes and biologic pathways involved in production, differentiation, or clearance of particular WBC lineages (myeloid, lymphoid) and also potentially inform the genetic basis of autoimmune, allergic, and blood diseases. We performed an exome array-based meta-analysis of total WBC and subtype counts (neutrophils, monocytes, lymphocytes, basophils, and eosinophils) in a multi-ancestry discovery and replication sample of ∼157,622 individuals from 25 studies. We identified 16 common variants (8 of which were coding variants) associated with one or more WBC traits, the majority of which are pleiotropically associated with autoimmune diseases. Based on functional annotation, these loci included genes encoding surface markers of myeloid, lymphoid, or hematopoietic stem cell differentiation (CD69, CD33, CD87), transcription factors regulating lineage specification during hematopoiesis (ASXL1, IRF8, IKZF1, JMJD1C, ETS2-PSMG1), and molecules involved in neutrophil clearance/apoptosis (C10orf54, LTA), adhesion (TNXB), or centrosome and microtubule structure/function (KIF9, TUBD1). Together with recent reports of somatic ASXL1 mutations among individuals with idiopathic cytopenias or clonal hematopoiesis of undetermined significance, the identification of a common regulatory 3' UTR variant of ASXL1 suggests that both germline and somatic ASXL1 mutations contribute to lower blood counts in otherwise asymptomatic individuals. These association results shed light on genetic mechanisms that regulate circulating WBC counts and suggest a prominent shared genetic architecture with inflammatory and autoimmune diseases.
1 aTajuddin, Salman, M1 aSchick, Ursula, M1 aEicher, John, D1 aChami, Nathalie1 aGiri, Ayush1 aBrody, Jennifer, A1 aHill, David1 aKacprowski, Tim1 aLi, Jin1 aLyytikäinen, Leo-Pekka1 aManichaikul, Ani1 aMihailov, Evelin1 aO'Donoghue, Michelle, L1 aPankratz, Nathan1 aPazoki, Raha1 aPolfus, Linda, M1 aSmith, Albert, Vernon1 aSchurmann, Claudia1 aVacchi-Suzzi, Caterina1 aWaterworth, Dawn, M1 aEvangelou, Evangelos1 aYanek, Lisa, R1 aBurt, Amber1 aChen, Ming-Huei1 avan Rooij, Frank, J A1 aFloyd, James, S1 aGreinacher, Andreas1 aHarris, Tamara, B1 aHighland, Heather, M1 aLange, Leslie, A1 aLiu, Yongmei1 aMägi, Reedik1 aNalls, Mike, A1 aMathias, Rasika, A1 aNickerson, Deborah, A1 aNikus, Kjell1 aStarr, John, M1 aTardif, Jean-Claude1 aTzoulaki, Ioanna1 aEdwards, Digna, R Velez1 aWallentin, Lars1 aBartz, Traci, M1 aBecker, Lewis, C1 aDenny, Joshua, C1 aRaffield, Laura, M1 aRioux, John, D1 aFriedrich, Nele1 aFornage, Myriam1 aGao, He1 aHirschhorn, Joel, N1 aLiewald, David, C M1 aRich, Stephen, S1 aUitterlinden, Andre1 aBastarache, Lisa1 aBecker, Diane, M1 aBoerwinkle, Eric1 ade Denus, Simon1 aBottinger, Erwin, P1 aHayward, Caroline1 aHofman, Albert1 aHomuth, Georg1 aLange, Ethan1 aLauner, Lenore, J1 aLehtimäki, Terho1 aLu, Yingchang1 aMetspalu, Andres1 aO'Donnell, Chris, J1 aQuarells, Rakale, C1 aRichard, Melissa1 aTorstenson, Eric, S1 aTaylor, Kent, D1 aVergnaud, Anne-Claire1 aZonderman, Alan, B1 aCrosslin, David, R1 aDeary, Ian, J1 aDörr, Marcus1 aElliott, Paul1 aEvans, Michele, K1 aGudnason, Vilmundur1 aKähönen, Mika1 aPsaty, Bruce, M1 aRotter, Jerome, I1 aSlater, Andrew, J1 aDehghan, Abbas1 aWhite, Harvey, D1 aGanesh, Santhi, K1 aLoos, Ruth, J F1 aEsko, Tõnu1 aFaraday, Nauder1 aWilson, James, G1 aCushman, Mary1 aJohnson, Andrew, D1 aEdwards, Todd, L1 aZakai, Neil, A1 aLettre, Guillaume1 aReiner, Alex, P1 aAuer, Paul, L uhttps://chs-nhlbi.org/node/714605818nas a2201705 4500008004100000022001400041245009600055210006900151260001600220300001100236490000700247520107200254100002201326700002301348700002501371700002001396700002501416700002201441700001801463700002201481700002501503700002001528700002301548700002001571700003001591700001901621700002301640700002201663700001701685700001901702700001801721700001901739700001901758700002801777700001601805700002401821700002001845700002401865700002001889700002301909700001801932700001701950700001901967700002701986700001802013700001902031700001702050700001502067700001602082700002102098700002302119700001602142700002202158700002502180700002102205700001802226700002002244700002502264700001302289700002002302700002402322700001802346700002002364700002302384700002302407700002102430700002502451700002402476700001602500700003202516700002002548700002102568700002202589700002402611700002002635700002102655700002502676700001902701700002002720700002802740700001902768700001902787700001702806700002602823700001802849700002202867700001502889700002002904700002702924700001502951700002002966700002102986700001903007700002303026700001903049700002303068700001703091700002003108700002003128700002603148700002203174700002003196700001803216700002103234700002003255700002303275700001703298700001903315700002803334700002003362700001903382700002103401700001903422700001603441700002903457700002103486700002403507700002003531700002003551700002303571700001903594700001803613700002103631700002103652700001903673700002003692700002103712700002003733700002403753700002103777700001903798700002303817700002203840700002103862700001903883700001803902700002003920700002103940700002003961700003003981700002304011700002304034700001904057856003604076 2016 eng d a1460-208300aA meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration.0 ametaanalysis of 120 246 individuals identifies 18 new loci for f c2016 Jan 15 a358-700 v253 aGenome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X-chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes indels. We conducted a genome-wide association analysis of 34 studies imputed to the 1000 Genomes Project reference panel and including ∼120 000 participants of European ancestry (95 806 participants with data on the X-chromosome). Approximately 10.7 million single-nucleotide polymorphisms and 1.2 million indels were examined. We identified 41 genome-wide significant fibrinogen loci; of which, 18 were newly identified. There were no genome-wide significant signals on the X-chromosome. The lead variants of five significant loci were indels. We further identified six additional independent signals, including three rare variants, at two previously characterized loci: FGB and IRF1. Together the 41 loci explain 3% of the variance in plasma fibrinogen concentration.
1 ade Vries, Paul, S1 aChasman, Daniel, I1 aSabater-Lleal, Maria1 aChen, Ming-Huei1 aHuffman, Jennifer, E1 aSteri, Maristella1 aTang, Weihong1 aTeumer, Alexander1 aMarioni, Riccardo, E1 aGrossmann, Vera1 aHottenga, Jouke, J1 aTrompet, Stella1 aMüller-Nurasyid, Martina1 aZhao, Jing Hua1 aBrody, Jennifer, A1 aKleber, Marcus, E1 aGuo, Xiuqing1 aWang, Jie, Jin1 aAuer, Paul, L1 aAttia, John, R1 aYanek, Lisa, R1 aAhluwalia, Tarunveer, S1 aLahti, Jari1 aVenturini, Cristina1 aTanaka, Toshiko1 aBielak, Lawrence, F1 aJoshi, Peter, K1 aRocanin-Arjo, Ares1 aKolcic, Ivana1 aNavarro, Pau1 aRose, Lynda, M1 aOldmeadow, Christopher1 aRiess, Helene1 aMazur, Johanna1 aBasu, Saonli1 aGoel, Anuj1 aYang, Qiong1 aGhanbari, Mohsen1 aWillemsen, Gonneke1 aRumley, Ann1 aFiorillo, Edoardo1 ade Craen, Anton, J M1 aGrotevendt, Anne1 aScott, Robert1 aTaylor, Kent, D1 aDelgado, Graciela, E1 aYao, Jie1 aKifley, Annette1 aKooperberg, Charles1 aQayyum, Rehan1 aLopez, Lorna, M1 aBerentzen, Tina, L1 aRäikkönen, Katri1 aMangino, Massimo1 aBandinelli, Stefania1 aPeyser, Patricia, A1 aWild, Sarah1 aTrégouët, David-Alexandre1 aWright, Alan, F1 aMarten, Jonathan1 aZemunik, Tatijana1 aMorrison, Alanna, C1 aSennblad, Bengt1 aTofler, Geoffrey1 ade Maat, Moniek, P M1 aGeus, Eco, J C1 aLowe, Gordon, D1 aZoledziewska, Magdalena1 aSattar, Naveed1 aBinder, Harald1 aVölker, Uwe1 aWaldenberger, Melanie1 aKhaw, Kay-Tee1 aMcKnight, Barbara1 aHuang, Jie1 aJenny, Nancy, S1 aHolliday, Elizabeth, G1 aQi, Lihong1 aMcevoy, Mark, G1 aBecker, Diane, M1 aStarr, John, M1 aSarin, Antti-Pekka1 aHysi, Pirro, G1 aHernandez, Dena, G1 aJhun, Min, A1 aCampbell, Harry1 aHamsten, Anders1 aRivadeneira, Fernando1 aMcArdle, Wendy, L1 aSlagboom, Eline1 aZeller, Tanja1 aKoenig, Wolfgang1 aPsaty, Bruce, M1 aHaritunians, Talin1 aLiu, Jingmin1 aPalotie, Aarno1 aUitterlinden, André, G1 aStott, David, J1 aHofman, Albert1 aFranco, Oscar, H1 aPolasek, Ozren1 aRudan, Igor1 aMorange, Pierre-Emmanuel1 aWilson, James, F1 aKardia, Sharon, L R1 aFerrucci, Luigi1 aSpector, Tim, D1 aEriksson, Johan, G1 aHansen, Torben1 aDeary, Ian, J1 aBecker, Lewis, C1 aScott, Rodney, J1 aMitchell, Paul1 aMärz, Winfried1 aWareham, Nick, J1 aPeters, Annette1 aGreinacher, Andreas1 aWild, Philipp, S1 aJukema, Wouter1 aBoomsma, Dorret, I1 aHayward, Caroline1 aCucca, Francesco1 aTracy, Russell1 aWatkins, Hugh1 aReiner, Alex, P1 aFolsom, Aaron, R1 aRidker, Paul, M1 aO'Donnell, Christopher, J1 aSmith, Nicholas, L1 aStrachan, David, P1 aDehghan, Abbas uhttps://chs-nhlbi.org/node/693604981nas a2201333 4500008004100000022001400041245015700055210006900212260001300281300001000294490000700304520112400311100003001435700001601465700001901481700002501500700002101525700002101546700002101567700002301588700002001611700001501631700002101646700002401667700001701691700001901708700001801727700001801745700002001763700002001783700001801803700002501821700002801846700002201874700001801896700002701914700002801941700001901969700002101988700001902009700002102028700001902049700002602068700002302094700002802117700002602145700002102171700002202192700002502214700002302239700002102262700002202283700001902305700001802324700002002342700002102362700001602383700001802399700001702417700002202434700002002456700002102476700002202497700002002519700002202539700002002561700002002581700002102601700002702622700002302649700002302672700001402695700002302709700002802732700002302760700002202783700001702805700002402822700002302846700002502869700002602894700002302920700002002943700002902963700002002992700002303012700002003035700002203055700001803077700001503095700001903110700002903129700002303158700002203181700001903203700002003222700002603242700002203268700001903290700002203309700002103331700002103352700002403373700002103397700002003418700002303438700002103461700002203482700002503504700002303529710002703552710003203579856003603611 2016 eng d a1468-624400aMeta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels.0 aMetaanalysis of 49 549 individuals imputed with the 1000 Genomes c2016 Jul a441-90 v533 aBACKGROUND: So far, more than 170 loci have been associated with circulating lipid levels through genome-wide association studies (GWAS). These associations are largely driven by common variants, their function is often not known, and many are likely to be markers for the causal variants. In this study we aimed to identify more new rare and low-frequency functional variants associated with circulating lipid levels.
METHODS: We used the 1000 Genomes Project as a reference panel for the imputations of GWAS data from ∼60 000 individuals in the discovery stage and ∼90 000 samples in the replication stage.
RESULTS: Our study resulted in the identification of five new associations with circulating lipid levels at four loci. All four loci are within genes that can be linked biologically to lipid metabolism. One of the variants, rs116843064, is a damaging missense variant within the ANGPTL4 gene.
CONCLUSIONS: This study illustrates that GWAS with high-scale imputation may still help us unravel the biological mechanism behind circulating lipid levels.
1 avan Leeuwen, Elisabeth, M1 aSabo, Aniko1 aBis, Joshua, C1 aHuffman, Jennifer, E1 aManichaikul, Ani1 aSmith, Albert, V1 aFeitosa, Mary, F1 aDemissie, Serkalem1 aJoshi, Peter, K1 aDuan, Qing1 aMarten, Jonathan1 avan Klinken, Jan, B1 aSurakka, Ida1 aNolte, Ilja, M1 aZhang, Weihua1 aMbarek, Hamdi1 aLi-Gao, Ruifang1 aTrompet, Stella1 aVerweij, Niek1 aEvangelou, Evangelos1 aLyytikäinen, Leo-Pekka1 aTayo, Bamidele, O1 aDeelen, Joris1 avan der Most, Peter, J1 avan der Laan, Sander, W1 aArking, Dan, E1 aMorrison, Alanna1 aDehghan, Abbas1 aFranco, Oscar, H1 aHofman, Albert1 aRivadeneira, Fernando1 aSijbrands, Eric, J1 aUitterlinden, André, G1 aMychaleckyj, Josyf, C1 aCampbell, Archie1 aHocking, Lynne, J1 aPadmanabhan, Sandosh1 aBrody, Jennifer, A1 aRice, Kenneth, M1 aWhite, Charles, C1 aHarris, Tamara1 aIsaacs, Aaron1 aCampbell, Harry1 aLange, Leslie, A1 aRudan, Igor1 aKolcic, Ivana1 aNavarro, Pau1 aZemunik, Tatijana1 aSalomaa, Veikko1 aKooner, Angad, S1 aKooner, Jaspal, S1 aLehne, Benjamin1 aScott, William, R1 aTan, Sian-Tsung1 ade Geus, Eco, J1 aMilaneschi, Yuri1 aPenninx, Brenda, W J H1 aWillemsen, Gonneke1 ade Mutsert, Renée1 aFord, Ian1 aGansevoort, Ron, T1 aSegura-Lepe, Marcelo, P1 aRaitakari, Olli, T1 aViikari, Jorma, S1 aNikus, Kjell1 aForrester, Terrence1 aMcKenzie, Colin, A1 ade Craen, Anton, J M1 ade Ruijter, Hester, M1 aPasterkamp, Gerard1 aSnieder, Harold1 aOldehinkel, Albertine, J1 aSlagboom, Eline1 aCooper, Richard, S1 aKähönen, Mika1 aLehtimäki, Terho1 aElliott, Paul1 aHarst, Pim1 aJukema, Wouter1 aMook-Kanamori, Dennis, O1 aBoomsma, Dorret, I1 aChambers, John, C1 aSwertz, Morris1 aRipatti, Samuli1 avan Dijk, Ko, Willems1 aVitart, Veronique1 aPolasek, Ozren1 aHayward, Caroline1 aWilson, James, G1 aWilson, James, F1 aGudnason, Vilmundur1 aRich, Stephen, S1 aPsaty, Bruce, M1 aBorecki, Ingrid, B1 aBoerwinkle, Eric1 aRotter, Jerome, I1 aCupples, Adrienne, L1 aDuijn, Cornelia, M1 aLifeLines Cohort Study1 aCHARGE Lipids Working Group uhttps://chs-nhlbi.org/node/701105480nas a2201321 4500008004100000022001400041245007700055210006900132260001600201520175400217100002301971700001901994700002402013700001902037700001802056700002102074700002302095700001702118700002002135700001802155700001702173700002002190700002002210700002802230700002502258700001802283700002402301700001702325700002402342700002102366700002002387700001902407700001302426700003102439700001602470700001702486700002302503700001802526700002202544700002502566700002002591700002102611700001902632700001902651700002102670700002102691700002202712700002202734700002302756700001902779700001802798700001902816700001802835700001902853700002002872700002402892700001902916700002202935700002002957700001902977700002502996700002203021700002303043700002003066700002303086700001903109700002603128700002203154700002103176700002003197700001603217700002503233700002303258700002303281700002203304700002603326700002103352700002203373700002003395700002203415700002003437700002303457700002803480700002203508700002203530700001703552700002303569700002503592700001803617700002403635700002103659700002103680700002103701700002203722700001803744700001903762700002203781700002403803700002203827700002003849700002903869700002003898700002103918700002203939700002103961700002303982700001904005700002204024700002404046700003004070710002204100856003604122 2016 eng d a1942-326800aMultiethnic Exome-Wide Association Study of Subclinical Atherosclerosis.0 aMultiethnic ExomeWide Association Study of Subclinical Atheroscl c2016 Nov 213 aBACKGROUND: -The burden of subclinical atherosclerosis in asymptomatic individuals is heritable and associated with elevated risk of developing clinical coronary heart disease (CHD). We sought to identify genetic variants in protein-coding regions associated with subclinical atherosclerosis and the risk of subsequent CHD.
METHODS AND RESULTS: -We studied a total of 25,109 European ancestry and African-American participants with coronary artery calcification (CAC) measured by cardiac computed tomography and 52,869 with common carotid intima media thickness (CIMT) measured by ultrasonography within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Participants were genotyped for 247,870 DNA sequence variants (231,539 in exons) across the genome. A meta-analysis of exome-wide association studies was performed across cohorts for CAC and CIMT. APOB p.Arg3527Gln was associated with four-fold excess CAC (P = 3×10(-10)). The APOE ε2 allele (p.Arg176Cys) was associated with both 22.3% reduced CAC (P = 1×10(-12)) and 1.4% reduced CIMT (P = 4×10(-14)) in carriers compared with non-carriers. In secondary analyses conditioning on LDL cholesterol concentration, the ε2 protective association with CAC, although attenuated, remained strongly significant. Additionally, the presence of ε2 was associated with reduced risk for CHD (OR 0.77; P = 1×10(-11)).
CONCLUSIONS: -Exome-wide association meta-analysis demonstrates that protein-coding variants in APOB and APOE associate with subclinical atherosclerosis. APOE ε2 represents the first significant association for multiple subclinical atherosclerosis traits across multiple ethnicities as well as clinical CHD.
1 aNatarajan, Pradeep1 aBis, Joshua, C1 aBielak, Lawrence, F1 aCox, Amanda, J1 aDörr, Marcus1 aFeitosa, Mary, F1 aFranceschini, Nora1 aGuo, Xiuqing1 aHwang, Shih-Jen1 aIsaacs, Aaron1 aJhun, Min, A1 aKavousi, Maryam1 aLi-Gao, Ruifang1 aLyytikäinen, Leo-Pekka1 aMarioni, Riccardo, E1 aSchminke, Ulf1 aStitziel, Nathan, O1 aTada, Hayato1 avan Setten, Jessica1 aSmith, Albert, V1 aVojinovic, Dina1 aYanek, Lisa, R1 aYao, Jie1 aYerges-Armstrong, Laura, M1 aAmin, Najaf1 aBaber, Usman1 aBorecki, Ingrid, B1 aCarr, Jeffrey1 aChen, Yii-Der Ida1 aCupples, Adrienne, L1 ade Jong, Pim, A1 ade Koning, Harry1 ade Vos, Bob, D1 aDemirkan, Ayse1 aFuster, Valentin1 aFranco, Oscar, H1 aGoodarzi, Mark, O1 aHarris, Tamara, B1 aHeckbert, Susan, R1 aHeiss, Gerardo1 aHoffmann, Udo1 aHofman, Albert1 aIšgum, Ivana1 aJukema, Wouter1 aKähönen, Mika1 aKardia, Sharon, L R1 aKral, Brian, G1 aLauner, Lenore, J1 aMassaro, Joseph1 aMehran, Roxana1 aMitchell, Braxton, D1 aMosley, Thomas, H1 ade Mutsert, Renée1 aNewman, Anne, B1 aNguyen, Khanh-Dung1 aNorth, Kari, E1 aO'Connell, Jeffrey, R1 aOudkerk, Matthijs1 aPankow, James, S1 aPeloso, Gina, M1 aPost, Wendy1 aProvince, Michael, A1 aRaffield, Laura, M1 aRaitakari, Olli, T1 aReilly, Dermot, F1 aRivadeneira, Fernando1 aRosendaal, Frits1 aSartori, Samantha1 aTaylor, Kent, D1 aTeumer, Alexander1 aTrompet, Stella1 aTurner, Stephen, T1 aUitterlinden, André, G1 aVaidya, Dhananjay1 avan der Lugt, Aad1 aVölker, Uwe1 aWardlaw, Joanna, M1 aWassel, Christina, L1 aWeiss, Stefan1 aWojczynski, Mary, K1 aBecker, Diane, M1 aBecker, Lewis, C1 aBoerwinkle, Eric1 aBowden, Donald, W1 aDeary, Ian, J1 aDehghan, Abbas1 aFelix, Stephan, B1 aGudnason, Vilmundur1 aLehtimäki, Terho1 aMathias, Rasika1 aMook-Kanamori, Dennis, O1 aPsaty, Bruce, M1 aRader, Daniel, J1 aRotter, Jerome, I1 aWilson, James, G1 aDuijn, Cornelia, M1 aVölzke, Henry1 aKathiresan, Sekar1 aPeyser, Patricia, A1 aO'Donnell, Christopher, J1 aCHARGE Consortium uhttps://chs-nhlbi.org/node/725706109nas a2201525 4500008004100000022001400041245009200055210006900147260001500216300001000231490000700241520179700248100002002045700002002065700002002085700002002105700002002125700001902145700002402164700002202188700002202210700002102232700001802253700002302271700001602294700002302310700002102333700002102354700001602375700001702391700001702408700002502425700002102450700001202471700002602483700002302509700002102532700002102553700001602574700002302590700002802613700001702641700002302658700002002681700002102701700001802722700002302740700002202763700001802785700001902803700002602822700002302848700002102871700002302892700002002915700002502935700002002960700002002980700002203000700002403022700002203046700002003068700002103088700002403109700001903133700002403152700002003176700001803196700002403214700002003238700002603258700002203284700002203306700002403328700002803352700002403380700001703404700002203421700002203443700002103465700002503486700002103511700001203532700001703544700002103561700002103582700001803603700002103621700002103642700001603663700002703679700001903706700002303725700002203748700002203770700002503792700001903817700002803836700002403864700002003888700002103908700002003929700002003949700002103969700002003990700001604010700002404026700002204050700001804072700002404090700001704114700001904131700001904150700002604169700002804195700002104223700001904244700002104263700002204284700002204306700002004328700001804348700002004366700002204386700002304408710003804431710003204469710004604501856003604547 2016 eng d a1537-660500aPlatelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals.0 aPlateletRelated Variants Identified by Exomechip Metaanalysis in c2016 Jul 7 a40-550 v993 aPlatelet production, maintenance, and clearance are tightly controlled processes indicative of platelets' important roles in hemostasis and thrombosis. Platelets are common targets for primary and secondary prevention of several conditions. They are monitored clinically by complete blood counts, specifically with measurements of platelet count (PLT) and mean platelet volume (MPV). Identifying genetic effects on PLT and MPV can provide mechanistic insights into platelet biology and their role in disease. Therefore, we formed the Blood Cell Consortium (BCX) to perform a large-scale meta-analysis of Exomechip association results for PLT and MPV in 157,293 and 57,617 individuals, respectively. Using the low-frequency/rare coding variant-enriched Exomechip genotyping array, we sought to identify genetic variants associated with PLT and MPV. In addition to confirming 47 known PLT and 20 known MPV associations, we identified 32 PLT and 18 MPV associations not previously observed in the literature across the allele frequency spectrum, including rare large effect (FCER1A), low-frequency (IQGAP2, MAP1A, LY75), and common (ZMIZ2, SMG6, PEAR1, ARFGAP3/PACSIN2) variants. Several variants associated with PLT/MPV (PEAR1, MRVI1, PTGES3) were also associated with platelet reactivity. In concurrent BCX analyses, there was overlap of platelet-associated variants with red (MAP1A, TMPRSS6, ZMIZ2) and white (PEAR1, ZMIZ2, LY75) blood cell traits, suggesting common regulatory pathways with shared genetic architecture among these hematopoietic lineages. Our large-scale Exomechip analyses identified previously undocumented associations with platelet traits and further indicate that several complex quantitative hematological, lipid, and cardiovascular traits share genetic factors.
1 aEicher, John, D1 aChami, Nathalie1 aKacprowski, Tim1 aNomura, Akihiro1 aChen, Ming-Huei1 aYanek, Lisa, R1 aTajuddin, Salman, M1 aSchick, Ursula, M1 aSlater, Andrew, J1 aPankratz, Nathan1 aPolfus, Linda1 aSchurmann, Claudia1 aGiri, Ayush1 aBrody, Jennifer, A1 aLange, Leslie, A1 aManichaikul, Ani1 aHill, David1 aPazoki, Raha1 aElliot, Paul1 aEvangelou, Evangelos1 aTzoulaki, Ioanna1 aGao, He1 aVergnaud, Anne-Claire1 aMathias, Rasika, A1 aBecker, Diane, M1 aBecker, Lewis, C1 aBurt, Amber1 aCrosslin, David, R1 aLyytikäinen, Leo-Pekka1 aNikus, Kjell1 aHernesniemi, Jussi1 aKähönen, Mika1 aRaitoharju, Emma1 aMononen, Nina1 aRaitakari, Olli, T1 aLehtimäki, Terho1 aCushman, Mary1 aZakai, Neil, A1 aNickerson, Deborah, A1 aRaffield, Laura, M1 aQuarells, Rakale1 aWiller, Cristen, J1 aPeloso, Gina, M1 aAbecasis, Goncalo, R1 aLiu, Dajiang, J1 aDeloukas, Panos1 aSamani, Nilesh, J1 aSchunkert, Heribert1 aErdmann, Jeanette1 aFornage, Myriam1 aRichard, Melissa1 aTardif, Jean-Claude1 aRioux, John, D1 aDubé, Marie-Pierre1 ade Denus, Simon1 aLu, Yingchang1 aBottinger, Erwin, P1 aLoos, Ruth, J F1 aSmith, Albert, Vernon1 aHarris, Tamara, B1 aLauner, Lenore, J1 aGudnason, Vilmundur1 aEdwards, Digna, R Velez1 aTorstenson, Eric, S1 aLiu, Yongmei1 aTracy, Russell, P1 aRotter, Jerome, I1 aRich, Stephen, S1 aHighland, Heather, M1 aBoerwinkle, Eric1 aLi, Jin1 aLange, Ethan1 aWilson, James, G1 aMihailov, Evelin1 aMägi, Reedik1 aHirschhorn, Joel1 aMetspalu, Andres1 aEsko, Tõnu1 aVacchi-Suzzi, Caterina1 aNalls, Mike, A1 aZonderman, Alan, B1 aEvans, Michele, K1 aEngström, Gunnar1 aOrho-Melander, Marju1 aMelander, Olle1 aO'Donoghue, Michelle, L1 aWaterworth, Dawn, M1 aWallentin, Lars1 aWhite, Harvey, D1 aFloyd, James, S1 aBartz, Traci, M1 aRice, Kenneth, M1 aPsaty, Bruce, M1 aStarr, J, M1 aLiewald, David, C M1 aHayward, Caroline1 aDeary, Ian, J1 aGreinacher, Andreas1 aVölker, Uwe1 aThiele, Thomas1 aVölzke, Henry1 avan Rooij, Frank, J A1 aUitterlinden, André, G1 aFranco, Oscar, H1 aDehghan, Abbas1 aEdwards, Todd, L1 aGanesh, Santhi, K1 aKathiresan, Sekar1 aFaraday, Nauder1 aAuer, Paul, L1 aReiner, Alex, P1 aLettre, Guillaume1 aJohnson, Andrew, D1 aGlobal Lipids Genetics Consortium1 aCARDIoGRAM Exome Consortium1 aMyocardial Infarction Genetics Consortium uhttps://chs-nhlbi.org/node/713906988nas a2201993 4500008004100000022001400041245011600055210006900171260001600240520137500256100001201631700001301643700001801656700002201674700002201696700002501718700001801743700002701761700002001788700002801808700001901836700002001855700002101875700001801896700001601914700002801930700001901958700002501977700002302002700002302025700002302048700002502071700001902096700002102115700002102136700002202157700002102179700002302200700001502223700001802238700001902256700002102275700001702296700001702313700001602330700002002346700002802366700001802394700001902412700002002431700001702451700001802468700001802486700002202504700002102526700002102547700002902568700002302597700002202620700001702642700002202659700003202681700002102713700002302734700002102757700003102778700001402809700002202823700001902845700001602864700002102880700002102901700002302922700002302945700002402968700001902992700002103011700002303032700002103055700002003076700002403096700001803120700001703138700002003155700001803175700002003193700002403213700002103237700002103258700002503279700002203304700001603326700002103342700001703363700002203380700002303402700002003425700001803445700002403463700002203487700002203509700001903531700001903550700001703569700002803586700002403614700002303638700002503661700002003686700002403706700002103730700002403751700002203775700002203797700002303819700002203842700001703864700002103881700002103902700001703923700002003940700001803960700002503978700001904003700002104022700001904043700002004062700002104082700002504103700001804128700001904146700002004165700001904185700001904204700002004223700002904243700002004272700001104292700002304303700002004326700001904346700002004365700002604385700002404411700001904435700002104454700002004475700002404495700002104519700002304540700002804563700001804591700002304609700001704632700001904649700002604668700001904694700001904713700001804732700002304750700002104773700002304794700002304817700001904840700001904859710003904878710004104917856003604958 2016 eng d a1533-345000aSOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function.0 aSOS2 and ACP1 Loci Identified through LargeScale Exome Chip Anal c2016 Dec 053 aGenome-wide association studies have identified >50 common variants associated with kidney function, but these variants do not fully explain the variation in eGFR. We performed a two-stage meta-analysis of associations between genotypes from the Illumina exome array and eGFR on the basis of serum creatinine (eGFRcrea) among participants of European ancestry from the CKDGen Consortium (nStage1: 111,666; nStage2: 48,343). In single-variant analyses, we identified single nucleotide polymorphisms at seven new loci associated with eGFRcrea (PPM1J, EDEM3, ACP1, SPEG, EYA4, CYP1A1, and ATXN2L; PStage1<3.7×10(-7)), of which most were common and annotated as nonsynonymous variants. Gene-based analysis identified associations of functional rare variants in three genes with eGFRcrea, including a novel association with the SOS Ras/Rho guanine nucleotide exchange factor 2 gene, SOS2 (P=5.4×10(-8) by sequence kernel association test). Experimental follow-up in zebrafish embryos revealed changes in glomerular gene expression and renal tubule morphology in the embryonic kidney of acp1- and sos2-knockdowns. These developmental abnormalities associated with altered blood clearance rate and heightened prevalence of edema. This study expands the number of loci associated with kidney function and identifies novel genes with potential roles in kidney formation.
1 aLi, Man1 aLi, Yong1 aWeeks, Olivia1 aMijatovic, Vladan1 aTeumer, Alexander1 aHuffman, Jennifer, E1 aTromp, Gerard1 aFuchsberger, Christian1 aGorski, Mathias1 aLyytikäinen, Leo-Pekka1 aNutile, Teresa1 aSedaghat, Sanaz1 aSorice, Rossella1 aTin, Adrienne1 aYang, Qiong1 aAhluwalia, Tarunveer, S1 aArking, Dan, E1 aBihlmeyer, Nathan, A1 aBöger, Carsten, A1 aCarroll, Robert, J1 aChasman, Daniel, I1 aCornelis, Marilyn, C1 aDehghan, Abbas1 aFaul, Jessica, D1 aFeitosa, Mary, F1 aGambaro, Giovanni1 aGasparini, Paolo1 aGiulianini, Franco1 aHeid, Iris1 aHuang, Jinyan1 aImboden, Medea1 aJackson, Anne, U1 aJeff, Janina1 aJhun, Min, A1 aKatz, Ronit1 aKifley, Annette1 aKilpeläinen, Tuomas, O1 aKumar, Ashish1 aLaakso, Markku1 aLi-Gao, Ruifang1 aLohman, Kurt1 aLu, Yingchang1 aMägi, Reedik1 aMalerba, Giovanni1 aMihailov, Evelin1 aMohlke, Karen, L1 aMook-Kanamori, Dennis, O1 aRobino, Antonietta1 aRuderfer, Douglas1 aSalvi, Erika1 aSchick, Ursula, M1 aSchulz, Christina-Alexandra1 aSmith, Albert, V1 aSmith, Jennifer, A1 aTraglia, Michela1 aYerges-Armstrong, Laura, M1 aZhao, Wei1 aGoodarzi, Mark, O1 aKraja, Aldi, T1 aLiu, Chunyu1 aWessel, Jennifer1 aBoerwinkle, Eric1 aBorecki, Ingrid, B1 aBork-Jensen, Jette1 aBottinger, Erwin, P1 aBraga, Daniele1 aBrandslund, Ivan1 aBrody, Jennifer, A1 aCampbell, Archie1 aCarey, David, J1 aChristensen, Cramer1 aCoresh, Josef1 aCrook, Errol1 aCurhan, Gary, C1 aCusi, Daniele1 ade Boer, Ian, H1 ade Vries, Aiko, P J1 aDenny, Joshua, C1 aDevuyst, Olivier1 aDreisbach, Albert, W1 aEndlich, Karlhans1 aEsko, Tõnu1 aFranco, Oscar, H1 aFulop, Tibor1 aGerhard, Glenn, S1 aGlümer, Charlotte1 aGottesman, Omri1 aGrarup, Niels1 aGudnason, Vilmundur1 aHarris, Tamara, B1 aHayward, Caroline1 aHocking, Lynne1 aHofman, Albert1 aHu, Frank, B1 aHusemoen, Lise, Lotte N1 aJackson, Rebecca, D1 aJørgensen, Torben1 aJørgensen, Marit, E1 aKähönen, Mika1 aKardia, Sharon, L R1 aKönig, Wolfgang1 aKooperberg, Charles1 aKriebel, Jennifer1 aLauner, Lenore, J1 aLauritzen, Torsten1 aLehtimäki, Terho1 aLevy, Daniel1 aLinksted, Pamela1 aLinneberg, Allan1 aLiu, Yongmei1 aLoos, Ruth, J F1 aLupo, Antonio1 aMeisinger, Christine1 aMelander, Olle1 aMetspalu, Andres1 aMitchell, Paul1 aNauck, Matthias1 aNürnberg, Peter1 aOrho-Melander, Marju1 aParsa, Afshin1 aPedersen, Oluf1 aPeters, Annette1 aPeters, Ulrike1 aPolasek, Ozren1 aPorteous, David1 aProbst-Hensch, Nicole, M1 aPsaty, Bruce, M1 aQi, Lu1 aRaitakari, Olli, T1 aReiner, Alex, P1 aRettig, Rainer1 aRidker, Paul, M1 aRivadeneira, Fernando1 aRossouw, Jacques, E1 aSchmidt, Frank1 aSiscovick, David1 aSoranzo, Nicole1 aStrauch, Konstantin1 aToniolo, Daniela1 aTurner, Stephen, T1 aUitterlinden, André, G1 aUlivi, Sheila1 aVelayutham, Dinesh1 aVölker, Uwe1 aVölzke, Henry1 aWaldenberger, Melanie1 aWang, Jie, Jin1 aWeir, David, R1 aWitte, Daniel1 aKuivaniemi, Helena1 aFox, Caroline, S1 aFranceschini, Nora1 aGoessling, Wolfram1 aKöttgen, Anna1 aChu, Audrey, Y1 aCHARGE Glycemic-T2D Working Group,1 aCHARGE Blood Pressure Working Group, uhttps://chs-nhlbi.org/node/725503627nas a2200637 4500008004100000022001400041245011300055210006900168260001300237300001400250490000800264520178200272100001802054700002702072700002602099700002102125700002002146700002002166700001902186700002602205700002102231700002902252700002102281700001802302700002002320700002302340700001402363700002302377700002002400700002202420700002102442700001802463700002002481700002002501700002002521700002102541700002402562700001902586700002302605700001902628700001902647700002502666700002302691700001802714700002202732700001902754700001802773700002402791700001902815700002102834700002102855700002102876700002202897710003402919856003602953 2016 eng d a1945-719700aThyroid Function Within the Reference Range and the Risk of Stroke: An Individual Participant Data Analysis.0 aThyroid Function Within the Reference Range and the Risk of Stro c2016 Nov a4270-42820 v1013 aCONTEXT: The currently applied reference ranges for thyroid function are under debate. Despite evidence that thyroid function within the reference range is related with several cardiovascular disorders, its association with the risk of stroke has not been evaluated previously.
DESIGN AND SETTING: We identified studies through a systematic literature search and the Thyroid Studies Collaboration, a collaboration of prospective cohort studies. Studies measuring baseline TSH, free T4, and stroke outcomes were included, and we collected individual participant data from each study, including thyroid function measurements and incident all stroke (combined fatal and nonfatal) and fatal stroke. The applied reference range for TSH levels was between 0.45 and 4.49 mIU/L.
RESULTS: We collected individual participant data on 43 598 adults with TSH within the reference range from 17 cohorts, with a median follow-up of 11.6 years (interquartile range 5.1-13.9), including 449 908 person-years. Age- and sex-adjusted pooled hazard ratio for TSH was 0.78 (95% confidence interval [CI] 0.65-0.95 across the reference range of TSH) for all stroke and 0.83 (95% CI 0.62-1.09) for fatal stroke. For the free T4 analyses, the hazard ratio was 1.08 (95% CI 0.99-1.15 per SD increase) for all stroke and 1.10 (95% CI 1.04-1.19) for fatal stroke. This was independent of cardiovascular risk factors including systolic blood pressure, total cholesterol, smoking, and prevalent diabetes.
CONCLUSION: Higher levels of TSH within the reference range may decrease the risk of stroke, highlighting the need for further research focusing on the clinical consequences associated with differences within the reference range of thyroid function.
1 aChaker, Layal1 aBaumgartner, Christine1 aElzen, Wendy, P J den1 aCollet, Tinh-Hai1 aIkram, Arfan, M1 aBlum, Manuel, R1 aDehghan, Abbas1 aDrechsler, Christiane1 aLuben, Robert, N1 aPortegies, Marileen, L P1 aIervasi, Giorgio1 aMedici, Marco1 aStott, David, J1 aDullaart, Robin, P1 aFord, Ian1 aBremner, Alexandra1 aNewman, Anne, B1 aWanner, Christoph1 aSgarbi, José, A1 aDörr, Marcus1 aLongstreth, W T1 aPsaty, Bruce, M1 aFerrucci, Luigi1 aMaciel, Rui, M B1 aWestendorp, Rudi, G1 aJukema, Wouter1 aCeresini, Graziano1 aImaizumi, Misa1 aHofman, Albert1 aBakker, Stephan, J L1 aFranklyn, Jayne, A1 aKhaw, Kay-Tee1 aBauer, Douglas, C1 aWalsh, John, P1 aRazvi, Salman1 aGussekloo, Jacobijn1 aVölzke, Henry1 aFranco, Oscar, H1 aCappola, Anne, R1 aRodondi, Nicolas1 aPeeters, Robin, P1 aThyroid Studies Collaboration uhttps://chs-nhlbi.org/node/723802324nas a2200793 4500008004100000022001400041245015800055210006900213260001600282300000800298490000700306100002100313700002300334700002200357700002100379700001700400700002300417700002000440700001800460700002000478700001500498700001800513700002600531700002200557700002000579700001700599700002900616700002000645700001300665700001600678700002100694700002000715700002100735700001500756700002100771700001600792700001500808700002000823700002300843700002000866700002100886700002000907700002800927700002000955700002200975700002300997700002001020700002901040700002201069700002301091700002101114700002101135700002601156700001901182700002801201700002101229700002001250700002001270700001901290700002101309700002001330700002301350700003001373700002101403700002501424700002201449700002301471856003601494 2016 eng d a1537-660500aWhole-Exome Sequencing Identifies Loci Associated with Blood Cell Traits and Reveals a Role for Alternative GFI1B Splice Variants in Human Hematopoiesis.0 aWholeExome Sequencing Identifies Loci Associated with Blood Cell c2016 Sep 01 a7850 v991 aPolfus, Linda, M1 aKhajuria, Rajiv, K1 aSchick, Ursula, M1 aPankratz, Nathan1 aPazoki, Raha1 aBrody, Jennifer, A1 aChen, Ming-Huei1 aAuer, Paul, L1 aFloyd, James, S1 aHuang, Jie1 aLange, Leslie1 avan Rooij, Frank, J A1 aGibbs, Richard, A1 aMetcalf, Ginger1 aMuzny, Donna1 aVeeraraghavan, Narayanan1 aWalter, Klaudia1 aChen, Lu1 aYanek, Lisa1 aBecker, Lewis, C1 aPeloso, Gina, M1 aWakabayashi, Aoi1 aKals, Mart1 aMetspalu, Andres1 aEsko, Tõnu1 aFox, Keolu1 aWallace, Robert1 aFranceschini, Nora1 aMatijevic, Nena1 aRice, Kenneth, M1 aBartz, Traci, M1 aLyytikäinen, Leo-Pekka1 aKähönen, Mika1 aLehtimäki, Terho1 aRaitakari, Olli, T1 aLi-Gao, Ruifang1 aMook-Kanamori, Dennis, O1 aLettre, Guillaume1 aDuijn, Cornelia, M1 aFranco, Oscar, H1 aRich, Stephen, S1 aRivadeneira, Fernando1 aHofman, Albert1 aUitterlinden, André, G1 aWilson, James, G1 aPsaty, Bruce, M1 aSoranzo, Nicole1 aDehghan, Abbas1 aBoerwinkle, Eric1 aZhang, Xiaoling1 aJohnson, Andrew, D1 aO'Donnell, Christopher, J1 aJohnsen, Jill, M1 aReiner, Alexander, P1 aGanesh, Santhi, K1 aSankaran, Vijay, G uhttps://chs-nhlbi.org/node/726304941nas a2201165 4500008004100000022001400041245010700055210006900162260000900231300001300240490000700253520165900260100002201919700002501941700002301966700002001989700002802009700002202037700002202059700002002081700001902101700001902120700002502139700002202164700001802186700001502204700002002219700002302239700002402262700002002286700001902306700002702325700001902352700001702371700002302388700001602411700002002427700002302447700001602470700002102486700002502507700002102532700002002553700002502573700002002598700002002618700002302638700002102661700002502682700002402707700002002731700002102751700002502772700002502797700002002822700002802842700001902870700002102889700001702910700002202927700001502949700002702964700002002991700001903011700001903030700002303049700001703072700002603089700002203115700002003137700001803157700002003175700002803195700001903223700002003242700001903262700001903281700002103300700002203321700002003343700002003363700001803383700002003401700002403421700002103445700002103466700002303487700001803510700001803528700002003546700001903566700002103585700001903606700001903625700003003644700002303674700002303697700001903720856003603739 2017 eng d a1932-620300aComparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study.0 aComparison of HapMap and 1000 Genomes Reference Panels in a Larg c2017 ae01677420 v123 aAn increasing number of genome-wide association (GWA) studies are now using the higher resolution 1000 Genomes Project reference panel (1000G) for imputation, with the expectation that 1000G imputation will lead to the discovery of additional associated loci when compared to HapMap imputation. In order to assess the improvement of 1000G over HapMap imputation in identifying associated loci, we compared the results of GWA studies of circulating fibrinogen based on the two reference panels. Using both HapMap and 1000G imputation we performed a meta-analysis of 22 studies comprising the same 91,953 individuals. We identified six additional signals using 1000G imputation, while 29 loci were associated using both HapMap and 1000G imputation. One locus identified using HapMap imputation was not significant using 1000G imputation. The genome-wide significance threshold of 5×10-8 is based on the number of independent statistical tests using HapMap imputation, and 1000G imputation may lead to further independent tests that should be corrected for. When using a stricter Bonferroni correction for the 1000G GWA study (P-value < 2.5×10-8), the number of loci significant only using HapMap imputation increased to 4 while the number of loci significant only using 1000G decreased to 5. In conclusion, 1000G imputation enabled the identification of 20% more loci than HapMap imputation, although the advantage of 1000G imputation became less clear when a stricter Bonferroni correction was used. More generally, our results provide insights that are applicable to the implementation of other dense reference panels that are under development.
1 ade Vries, Paul, S1 aSabater-Lleal, Maria1 aChasman, Daniel, I1 aTrompet, Stella1 aAhluwalia, Tarunveer, S1 aTeumer, Alexander1 aKleber, Marcus, E1 aChen, Ming-Huei1 aWang, Jie, Jin1 aAttia, John, R1 aMarioni, Riccardo, E1 aSteri, Maristella1 aWeng, Lu-Chen1 aPool, Rene1 aGrossmann, Vera1 aBrody, Jennifer, A1 aVenturini, Cristina1 aTanaka, Toshiko1 aRose, Lynda, M1 aOldmeadow, Christopher1 aMazur, Johanna1 aBasu, Saonli1 aFrånberg, Mattias1 aYang, Qiong1 aLigthart, Symen1 aHottenga, Jouke, J1 aRumley, Ann1 aMulas, Antonella1 ade Craen, Anton, J M1 aGrotevendt, Anne1 aTaylor, Kent, D1 aDelgado, Graciela, E1 aKifley, Annette1 aLopez, Lorna, M1 aBerentzen, Tina, L1 aMangino, Massimo1 aBandinelli, Stefania1 aMorrison, Alanna, C1 aHamsten, Anders1 aTofler, Geoffrey1 ade Maat, Moniek, P M1 aDraisma, Harmen, H M1 aLowe, Gordon, D1 aZoledziewska, Magdalena1 aSattar, Naveed1 aLackner, Karl, J1 aVölker, Uwe1 aMcKnight, Barbara1 aHuang, Jie1 aHolliday, Elizabeth, G1 aMcEvoy, Mark, A1 aStarr, John, M1 aHysi, Pirro, G1 aHernandez, Dena, G1 aGuan, Weihua1 aRivadeneira, Fernando1 aMcArdle, Wendy, L1 aSlagboom, Eline1 aZeller, Tanja1 aPsaty, Bruce, M1 aUitterlinden, André, G1 aGeus, Eco, J C1 aStott, David, J1 aBinder, Harald1 aHofman, Albert1 aFranco, Oscar, H1 aRotter, Jerome, I1 aFerrucci, Luigi1 aSpector, Tim, D1 aDeary, Ian, J1 aMärz, Winfried1 aGreinacher, Andreas1 aWild, Philipp, S1 aCucca, Francesco1 aBoomsma, Dorret, I1 aWatkins, Hugh1 aTang, Weihong1 aRidker, Paul, M1 aJukema, Jan, W1 aScott, Rodney, J1 aMitchell, Paul1 aHansen, Torben1 aO'Donnell, Christopher, J1 aSmith, Nicholas, L1 aStrachan, David, P1 aDehghan, Abbas uhttps://chs-nhlbi.org/node/734304860nas a2201081 4500008004100000022001400041245007600055210006900131260001600200300001200216490000800228520186200236653000902098653001902107653001602126653002802142653002002170653002402190653002202214653003402236653001102270653003702281653001602318653002602334653002802360653001702388100002402405700001902429700002002448700002002468700001702488700002302505700002502528700002202553700001902575700002002594700002202614700001702636700001902653700002202672700002102694700001702715700002202732700001802754700002402772700001602796700002602812700002802838700002402866700002102890700002002911700001202931700002202943700001902965700002002984700002203004700002403026700001403050700002303064700001803087700002303105700001903128700002003147700001603167700001903183700002203202700002303224700002003247700002003267700002003287700002303307700002203330700001903352700001703371700001803388700001903406700002603425700001703451700002003468700002903488700002203517700002303539700002103562700001803583700002603601700002103627700001803648700001903666700001703685700002003702710002003722856003603742 2017 eng d a1537-660500aDNA Methylation Analysis Identifies Loci for Blood Pressure Regulation.0 aDNA Methylation Analysis Identifies Loci for Blood Pressure Regu c2017 Dec 07 a888-9020 v1013 aGenome-wide association studies have identified hundreds of genetic variants associated with blood pressure (BP), but sequence variation accounts for a small fraction of the phenotypic variance. Epigenetic changes may alter the expression of genes involved in BP regulation and explain part of the missing heritability. We therefore conducted a two-stage meta-analysis of the cross-sectional associations of systolic and diastolic BP with blood-derived genome-wide DNA methylation measured on the Infinium HumanMethylation450 BeadChip in 17,010 individuals of European, African American, and Hispanic ancestry. Of 31 discovery-stage cytosine-phosphate-guanine (CpG) dinucleotides, 13 replicated after Bonferroni correction (discovery: N = 9,828, p < 1.0 × 10-7; replication: N = 7,182, p < 1.6 × 10-3). The replicated methylation sites are heritable (h2 > 30%) and independent of known BP genetic variants, explaining an additional 1.4% and 2.0% of the interindividual variation in systolic and diastolic BP, respectively. Bidirectional Mendelian randomization among up to 4,513 individuals of European ancestry from 4 cohorts suggested that methylation at cg08035323 (TAF1B-YWHAQ) influences BP, while BP influences methylation at cg00533891 (ZMIZ1), cg00574958 (CPT1A), and cg02711608 (SLC1A5). Gene expression analyses further identified six genes (TSPAN2, SLC7A11, UNC93B1, CPT1A, PTMS, and LPCAT3) with evidence of triangular associations between methylation, gene expression, and BP. Additional integrative Mendelian randomization analyses of gene expression and DNA methylation suggested that the expression of TSPAN2 is a putative mediator of association between DNA methylation at cg23999170 and BP. These findings suggest that heritable DNA methylation plays a role in regulating BP independently of previously known genetic variants.
10aAged10aBlood Pressure10aCpG Islands10aCross-Sectional Studies10aDNA Methylation10aEpigenesis, Genetic10aGenetic Variation10aGenome-Wide Association Study10aHumans10aMendelian Randomization Analysis10aMiddle Aged10aNerve Tissue Proteins10aQuantitative Trait Loci10aTetraspanins1 aRichard, Melissa, A1 aHuan, Tianxiao1 aLigthart, Symen1 aGondalia, Rahul1 aJhun, Min, A1 aBrody, Jennifer, A1 aIrvin, Marguerite, R1 aMarioni, Riccardo1 aShen, Jincheng1 aTsai, Pei-Chien1 aMontasser, May, E1 aJia, Yucheng1 aSyme, Catriona1 aSalfati, Elias, L1 aBoerwinkle, Eric1 aGuan, Weihua1 aMosley, Thomas, H1 aBressler, Jan1 aMorrison, Alanna, C1 aLiu, Chunyu1 aMendelson, Michael, M1 aUitterlinden, André, G1 avan Meurs, Joyce, B1 aFranco, Oscar, H1 aZhang, Guosheng1 aLi, Yun1 aStewart, James, D1 aBis, Joshua, C1 aPsaty, Bruce, M1 aChen, Yii-Der Ida1 aKardia, Sharon, L R1 aZhao, Wei1 aTurner, Stephen, T1 aAbsher, Devin1 aAslibekyan, Stella1 aStarr, John, M1 aMcRae, Allan, F1 aHou, Lifang1 aJust, Allan, C1 aSchwartz, Joel, D1 aVokonas, Pantel, S1 aMenni, Cristina1 aSpector, Tim, D1 aShuldiner, Alan1 aDamcott, Coleen, M1 aRotter, Jerome, I1 aPalmas, Walter1 aLiu, Yongmei1 aPaus, Tomáš1 aHorvath, Steve1 aO'Connell, Jeffrey, R1 aGuo, Xiuqing1 aPausova, Zdenka1 aAssimes, Themistocles, L1 aSotoodehnia, Nona1 aSmith, Jennifer, A1 aArnett, Donna, K1 aDeary, Ian, J1 aBaccarelli, Andrea, A1 aBell, Jordana, T1 aWhitsel, Eric1 aDehghan, Abbas1 aLevy, Daniel1 aFornage, Myriam1 aBIOS Consortium uhttps://chs-nhlbi.org/node/758304812nas a2201345 4500008004100000022001400041245014400055210006900199260001600268300001000284490000800294520106400302100002601366700001801392700002101410700001301431700002001444700002001464700002301484700002001507700002001527700001801547700002001565700001701585700002301602700001901625700002301644700001801667700002001685700002101705700002301726700001901749700001901768700002301787700001901810700001801829700001801847700002401865700001801889700002201907700002001929700002101949700002101970700002001991700002202011700002102033700002002054700001402074700002002088700001602108700001902124700002002143700002802163700002102191700001702212700002002229700001402249700002102263700002202284700002302306700001502329700001502344700001802359700002202377700002302399700002202422700001902444700002102463700001202484700002402496700002202520700001702542700002002559700002202579700002202601700002002623700001402643700002202657700002102679700002002700700002002720700002302740700002002763700002202783700002202805700001502827700002302842700002302865700002402888700002202912700001702934700001802951700001802969700001802987700002103005700002103026700001603047700002003063700002103083700002103104700002903125700002103154700002403175700003003199700001903229700002503248700002203273700002203295700002003317700002503337700002003362700002203382710002603404856003603430 2017 eng d a1537-660500aGenome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis.0 aGenomewide Transethnic Metaanalysis Identifies Seven Genetic Loc c2017 Jan 05 a51-630 v1003 aGenome-wide association studies (GWASs) have identified loci for erythrocyte traits in primarily European ancestry populations. We conducted GWAS meta-analyses of six erythrocyte traits in 71,638 individuals from European, East Asian, and African ancestries using a Bayesian approach to account for heterogeneity in allelic effects and variation in the structure of linkage disequilibrium between ethnicities. We identified seven loci for erythrocyte traits including a locus (RBPMS/GTF2E2) associated with mean corpuscular hemoglobin and mean corpuscular volume. Statistical fine-mapping at this locus pointed to RBPMS at this locus and excluded nearby GTF2E2. Using zebrafish morpholino to evaluate loss of function, we observed a strong in vivo erythropoietic effect for RBPMS but not for GTF2E2, supporting the statistical fine-mapping at this locus and demonstrating that RBPMS is a regulator of erythropoiesis. Our findings show the utility of trans-ethnic GWASs for discovery and characterization of genetic loci influencing hematologic traits.
1 avan Rooij, Frank, J A1 aQayyum, Rehan1 aSmith, Albert, V1 aZhou, Yi1 aTrompet, Stella1 aTanaka, Toshiko1 aKeller, Margaux, F1 aChang, Li-Ching1 aSchmidt, Helena1 aYang, Min-Lee1 aChen, Ming-Huei1 aHayes, James1 aJohnson, Andrew, D1 aYanek, Lisa, R1 aMueller, Christian1 aLange, Leslie1 aFloyd, James, S1 aGhanbari, Mohsen1 aZonderman, Alan, B1 aJukema, Wouter1 aHofman, Albert1 aDuijn, Cornelia, M1 aDesch, Karl, C1 aSaba, Yasaman1 aOzel, Ayse, B1 aSnively, Beverly, M1 aWu, Jer-Yuarn1 aSchmidt, Reinhold1 aFornage, Myriam1 aKlein, Robert, J1 aFox, Caroline, S1 aMatsuda, Koichi1 aKamatani, Naoyuki1 aWild, Philipp, S1 aStott, David, J1 aFord, Ian1 aSlagboom, Eline1 aYang, Jaden1 aChu, Audrey, Y1 aLambert, Amy, J1 aUitterlinden, André, G1 aFranco, Oscar, H1 aHofer, Edith1 aGinsburg, David1 aHu, Bella1 aKeating, Brendan1 aSchick, Ursula, M1 aBrody, Jennifer, A1 aLi, Jun, Z1 aChen, Zhao1 aZeller, Tanja1 aGuralnik, Jack, M1 aChasman, Daniel, I1 aPeters, Luanne, L1 aKubo, Michiaki1 aBecker, Diane, M1 aLi, Jin1 aEiriksdottir, Gudny1 aRotter, Jerome, I1 aLevy, Daniel1 aGrossmann, Vera1 aPatel, Kushang, V1 aChen, Chien-Hsiun1 aRidker, Paul, M1 aTang, Hua1 aLauner, Lenore, J1 aRice, Kenneth, M1 aLi-Gao, Ruifang1 aFerrucci, Luigi1 aEvans, Michelle, K1 aChoudhuri, Avik1 aTrompouki, Eirini1 aAbraham, Brian, J1 aYang, Song1 aTakahashi, Atsushi1 aKamatani, Yoichiro1 aKooperberg, Charles1 aHarris, Tamara, B1 aJee, Sun, Ha1 aCoresh, Josef1 aTsai, Fuu-Jen1 aLongo, Dan, L1 aChen, Yuan-Tsong1 aFelix, Janine, F1 aYang, Qiong1 aPsaty, Bruce, M1 aBoerwinkle, Eric1 aBecker, Lewis, C1 aMook-Kanamori, Dennis, O1 aWilson, James, G1 aGudnason, Vilmundur1 aO'Donnell, Christopher, J1 aDehghan, Abbas1 aCupples, Adrienne, L1 aNalls, Michael, A1 aMorris, Andrew, P1 aOkada, Yukinori1 aReiner, Alexander, P1 aZon, Leonard, I1 aGanesh, Santhi, K1 aBioBank Japan Project uhttps://chs-nhlbi.org/node/736403942nas a2200757 4500008004100000022001400041245010600055210006900161260001600230520175200246100002801998700002502026700001702051700002002068700002202088700001602110700001702126700002302143700002102166700001202187700002502199700002202224700002602246700002202272700001602294700002102310700002102331700003002352700001702382700001602399700001702415700002102432700003202453700001802485700002402503700002102527700002202548700002202570700001702592700002002609700002102629700002202650700002302672700002102695700001802716700001402734700001802748700002402766700002602790700002802816700002102844700001802865700002802883700002102911700002302932700001902955700002902974700001903003700001903022700002303041700001903064700002203083700002303105700002003128856003603148 2018 eng d a1528-002000aDNA methylation age is associated with an altered hemostatic profile in a multi-ethnic meta-analysis.0 aDNA methylation age is associated with an altered hemostatic pro c2018 Jul 243 aMany hemostatic factors are associated with age and age-related diseases, however much remains unknown about the biological mechanisms linking aging and hemostatic factors. DNA methylation is a novel means by which to assess epigenetic aging, which is a measure of age and the aging processes as determined by altered epigenetic states. We used a meta-analysis approach to examine the association between measures of epigenetic aging and hemostatic factors, as well as a clotting time measure. For fibrinogen, we used European and African-ancestry participants who were meta-analyzed separately and combined via a random effects meta-analysis. All other measures only included participants of European-ancestry. We found that 1-year higher extrinsic epigenetic age as compared to chronological age was associated with higher fibrinogen (0.004 g/L per year; 95% CI: 0.001, 0.007; P = 0.01) and plasminogen activator inhibitor 1 (PAI-1; 0.13 U/mL per year; 95% CI: 0.07, 0.20; P = 6.6x10-5) concentrations as well as lower activated partial thromboplastin time, a measure of clotting time. We replicated PAI-1 associations using an independent cohort. To further elucidate potential functional mechanisms we associated epigenetic aging with expression levels of the PAI-1 protein encoding gene (SERPINE1) and the three fibrinogen subunit-encoding genes (FGA, FGG, and FGB), in both peripheral blood and aorta intima-media samples. We observed associations between accelerated epigenetic aging and transcription of FGG in both tissues. Collectively, our results indicate that accelerated epigenetic aging is associated with a pro-coagulation hemostatic profile, and that epigenetic aging may regulate hemostasis in part via gene transcription.
1 aWard-Caviness, Cavin, K1 aHuffman, Jennifer, E1 aEvertt, Karl1 aGermain, Marine1 avan Dongen, Jenny1 aHill, David1 aJhun, Min, A1 aBrody, Jennifer, A1 aGhanbari, Mohsen1 aDu, Lei1 aRoetker, Nicholas, S1 ade Vries, Paul, S1 aWaldenberger, Melanie1 aGieger, Christian1 aWolf, Petra1 aProkisch, Holger1 aKoenig, Wolfgang1 aO'Donnell, Christopher, J1 aLevy, Daniel1 aLiu, Chunyu1 aTruong, Vinh1 aWells, Philip, S1 aTrégouët, David-Alexandre1 aTang, Weihong1 aMorrison, Alanna, C1 aBoerwinkle, Eric1 aWiggins, Kerri, L1 aMcKnight, Barbara1 aGuo, Xiuqing1 aPsaty, Bruce, M1 aSotoodenia, Nona1 aBoomsa, Dorret, I1 aWillemsen, Gonneke1 aLigthart, Lannie1 aDeary, Ian, J1 aZhao, Wei1 aWare, Erin, B1 aKardia, Sharon, L R1 avan Meurs, Joyce, B J1 aUitterlinden, André, G1 aFranco, Oscar, H1 aEriksson, Per1 aFranco-Cereceda, Anders1 aPankow, James, S1 aJohnson, Andrew, D1 aGagnon, France1 aMorange, Pierre-Emmanuel1 aGeus, Eco, J C1 aStarr, John, M1 aSmith, Jennifer, A1 aDehghan, Abbas1 aBjörck, Hanna, M1 aSmith, Nicholas, L1 aPeters, Annette uhttps://chs-nhlbi.org/node/781611426nas a2203589 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2018 eng d a1537-660500aGenome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders.0 aGenome Analyses of 200000 Individuals Identify 58 Loci for Chron c2018 Nov 01 a691-7060 v1033 aC-reactive protein (CRP) is a sensitive biomarker of chronic low-grade inflammation and is associated with multiple complex diseases. The genetic determinants of chronic inflammation remain largely unknown, and the causal role of CRP in several clinical outcomes is debated. We performed two genome-wide association studies (GWASs), on HapMap and 1000 Genomes imputed data, of circulating amounts of CRP by using data from 88 studies comprising 204,402 European individuals. Additionally, we performed in silico functional analyses and Mendelian randomization analyses with several clinical outcomes. The GWAS meta-analyses of CRP revealed 58 distinct genetic loci (p < 5 × 10). After adjustment for body mass index in the regression analysis, the associations at all except three loci remained. The lead variants at the distinct loci explained up to 7.0% of the variance in circulating amounts of CRP. We identified 66 gene sets that were organized in two substantially correlated clusters, one mainly composed of immune pathways and the other characterized by metabolic pathways in the liver. Mendelian randomization analyses revealed a causal protective effect of CRP on schizophrenia and a risk-increasing effect on bipolar disorder. Our findings provide further insights into the biology of inflammation and could lead to interventions for treating inflammation and its clinical consequences.
1 aLigthart, Symen1 aVaez, Ahmad1 aVõsa, Urmo1 aStathopoulou, Maria, G1 ade Vries, Paul, S1 aPrins, Bram, P1 avan der Most, Peter, J1 aTanaka, Toshiko1 aNaderi, Elnaz1 aRose, Lynda, M1 aWu, Ying1 aKarlsson, Robert1 aBarbalic, Maja1 aLin, Honghuang1 aPool, Rene1 aZhu, Gu1 aMace, Aurelien1 aSidore, Carlo1 aTrompet, Stella1 aMangino, Massimo1 aSabater-Lleal, Maria1 aKemp, John, P1 aAbbasi, Ali1 aKacprowski, Tim1 aVerweij, Niek1 aSmith, Albert, V1 aHuang, Tao1 aMarzi, Carola1 aFeitosa, Mary, F1 aLohman, Kurt, K1 aKleber, Marcus, E1 aMilaneschi, Yuri1 aMueller, Christian1 aHuq, Mahmudul1 aVlachopoulou, Efthymia1 aLyytikäinen, Leo-Pekka1 aOldmeadow, Christopher1 aDeelen, Joris1 aPerola, Markus1 aZhao, Jing Hua1 aFeenstra, Bjarke1 aAmini, Marzyeh1 aLahti, Jari1 aSchraut, Katharina, E1 aFornage, Myriam1 aSuktitipat, Bhoom1 aChen, Wei-Min1 aLi, Xiaohui1 aNutile, Teresa1 aMalerba, Giovanni1 aLuan, Jian'an1 aBak, Tom1 aSchork, Nicholas1 aM, Fabiola, del Greco1 aThiering, Elisabeth1 aMahajan, Anubha1 aMarioni, Riccardo, E1 aMihailov, Evelin1 aEriksson, Joel1 aOzel, Ayse, Bilge1 aZhang, Weihua1 aNethander, Maria1 aCheng, Yu-Ching1 aAslibekyan, Stella1 aAng, Wei1 aGandin, Ilaria1 aYengo, Loic1 aPortas, Laura1 aKooperberg, Charles1 aHofer, Edith1 aRajan, Kumar, B1 aSchurmann, Claudia1 aHollander, Wouter, den1 aAhluwalia, Tarunveer, S1 aZhao, Jing1 aDraisma, Harmen, H M1 aFord, Ian1 aTimpson, Nicholas1 aTeumer, Alexander1 aHuang, Hongyan1 aWahl, Simone1 aLiu, Yongmei1 aHuang, Jie1 aUh, Hae-Won1 aGeller, Frank1 aJoshi, Peter, K1 aYanek, Lisa, R1 aTrabetti, Elisabetta1 aLehne, Benjamin1 aVozzi, Diego1 aVerbanck, Marie1 aBiino, Ginevra1 aSaba, Yasaman1 aMeulenbelt, Ingrid1 aO'Connell, Jeff, R1 aLaakso, Markku1 aGiulianini, Franco1 aMagnusson, Patrik, K E1 aBallantyne, Christie, M1 aHottenga, Jouke Jan1 aMontgomery, Grant, W1 aRivadineira, Fernando1 aRueedi, Rico1 aSteri, Maristella1 aHerzig, Karl-Heinz1 aStott, David, J1 aMenni, Cristina1 aFrånberg, Mattias1 aSt Pourcain, Beate1 aFelix, Stephan, B1 aPers, Tune, H1 aBakker, Stephan, J L1 aKraft, Peter1 aPeters, Annette1 aVaidya, Dhananjay1 aDelgado, Graciela1 aSmit, Johannes, H1 aGroßmann, Vera1 aSinisalo, Juha1 aSeppälä, Ilkka1 aWilliams, Stephen, R1 aHolliday, Elizabeth, G1 aMoed, Matthijs1 aLangenberg, Claudia1 aRäikkönen, Katri1 aDing, Jingzhong1 aCampbell, Harry1 aSale, Michèle, M1 aChen, Yii-der, I1 aJames, Alan, L1 aRuggiero, Daniela1 aSoranzo, Nicole1 aHartman, Catharina, A1 aSmith, Erin, N1 aBerenson, Gerald, S1 aFuchsberger, Christian1 aHernandez, Dena1 aTiesler, Carla, M T1 aGiedraitis, Vilmantas1 aLiewald, David1 aFischer, Krista1 aMellström, Dan1 aLarsson, Anders1 aWang, Yunmei1 aScott, William, R1 aLorentzon, Matthias1 aBeilby, John1 aRyan, Kathleen, A1 aPennell, Craig, E1 aVuckovic, Dragana1 aBalkau, Beverly1 aConcas, Maria, Pina1 aSchmidt, Reinhold1 ade Leon, Carlos, F Mendes1 aBottinger, Erwin, P1 aKloppenburg, Margreet1 aPaternoster, Lavinia1 aBoehnke, Michael1 aMusk, A, W1 aWillemsen, Gonneke1 aEvans, David, M1 aMadden, Pamela, A F1 aKähönen, Mika1 aKutalik, Zoltán1 aZoledziewska, Magdalena1 aKarhunen, Ville1 aKritchevsky, Stephen, B1 aSattar, Naveed1 aLachance, Genevieve1 aClarke, Robert1 aHarris, Tamara, B1 aRaitakari, Olli, T1 aAttia, John, R1 avan Heemst, Diana1 aKajantie, Eero1 aSorice, Rossella1 aGambaro, Giovanni1 aScott, Robert, A1 aHicks, Andrew, A1 aFerrucci, Luigi1 aStandl, Marie1 aLindgren, Cecilia, M1 aStarr, John, M1 aKarlsson, Magnus1 aLind, Lars1 aLi, Jun, Z1 aChambers, John, C1 aMori, Trevor, A1 ade Geus, Eco, J C N1 aHeath, Andrew, C1 aMartin, Nicholas, G1 aAuvinen, Juha1 aBuckley, Brendan, M1 ade Craen, Anton, J M1 aWaldenberger, Melanie1 aStrauch, Konstantin1 aMeitinger, Thomas1 aScott, Rodney, J1 aMcEvoy, Mark1 aBeekman, Marian1 aBombieri, Cristina1 aRidker, Paul, M1 aMohlke, Karen, L1 aPedersen, Nancy, L1 aMorrison, Alanna, C1 aBoomsma, Dorret, I1 aWhitfield, John, B1 aStrachan, David, P1 aHofman, Albert1 aVollenweider, Peter1 aCucca, Francesco1 aJarvelin, Marjo-Riitta1 aJukema, Wouter1 aSpector, Tim, D1 aHamsten, Anders1 aZeller, Tanja1 aUitterlinden, André, G1 aNauck, Matthias1 aGudnason, Vilmundur1 aQi, Lu1 aGrallert, Harald1 aBorecki, Ingrid, B1 aRotter, Jerome, I1 aMärz, Winfried1 aWild, Philipp, S1 aLokki, Marja-Liisa1 aBoyle, Michael1 aSalomaa, Veikko1 aMelbye, Mads1 aEriksson, Johan, G1 aWilson, James, F1 aPenninx, Brenda, W J H1 aBecker, Diane, M1 aWorrall, Bradford, B1 aGibson, Greg1 aKrauss, Ronald, M1 aCiullo, Marina1 aZaza, Gianluigi1 aWareham, Nicholas, J1 aOldehinkel, Albertine, J1 aPalmer, Lyle, J1 aMurray, Sarah, S1 aPramstaller, Peter, P1 aBandinelli, Stefania1 aHeinrich, Joachim1 aIngelsson, Erik1 aDeary, Ian, J1 aMägi, Reedik1 aVandenput, Liesbeth1 aHarst, Pim1 aDesch, Karl, C1 aKooner, Jaspal, S1 aOhlsson, Claes1 aHayward, Caroline1 aLehtimäki, Terho1 aShuldiner, Alan, R1 aArnett, Donna, K1 aBeilin, Lawrence, J1 aRobino, Antonietta1 aFroguel, Philippe1 aPirastu, Mario1 aJess, Tine1 aKoenig, Wolfgang1 aLoos, Ruth, J F1 aEvans, Denis, A1 aSchmidt, Helena1 aSmith, George Davey1 aSlagboom, Eline1 aEiriksdottir, Gudny1 aMorris, Andrew, P1 aPsaty, Bruce, M1 aTracy, Russell, P1 aNolte, Ilja, M1 aBoerwinkle, Eric1 aVisvikis-Siest, Sophie1 aReiner, Alex, P1 aGross, Myron1 aBis, Joshua, C1 aFranke, Lude1 aFranco, Oscar, H1 aBenjamin, Emelia, J1 aChasman, Daniel, I1 aDupuis, Josée1 aSnieder, Harold1 aDehghan, Abbas1 aAlizadeh, Behrooz, Z1 aLifeLines Cohort Study1 aCHARGE Inflammation Working Group uhttps://chs-nhlbi.org/node/792005032nas a2201033 4500008004100000022001400041245016100055210006900216260001600285520189700301100002502198700002502223700002202248700002102270700002802291700001302319700002102332700002802353700001902381700002002400700002502420700001702445700002002462700002602482700002002508700002502528700001802553700001902571700002102590700002002611700002002631700001802651700002002669700002002689700002202709700002402731700002102755700002502776700002202801700001602823700002302839700002002862700002202882700002502904700001902929700003002948700001902978700001802997700002003015700002203035700002203057700002003079700001603099700002103115700001503136700002603151700002803177700001903205700002103224700001803245700002003263700002903283700002203312700002203334700003003356700002103386700001903407700002403426700002103450700002203471700002003493700002003513700002403533700002403557700002103581700002003602700002003622700001903642700001903661700003203680700002403712700002303736700003003759700002303789700002703812700002303839710010003862856003603962 2018 eng d a1524-453900aGenome-Wide Association Trans-Ethnic Meta-Analyses Identifies Novel Associations Regulating Coagulation Factor VIII and von Willebrand Factor Plasma Levels.0 aGenomeWide Association TransEthnic MetaAnalyses Identifies Novel c2018 Nov 203 aBACKGROUND: Factor VIII (FVIII) and its carrier protein von Willebrand factor (VWF) are associated with risk of arterial and venous thrombosis and with hemorrhagic disorders. We aimed to identify and functionally test novel genetic associations regulating plasma FVIII and VWF.
METHODS: We meta-analyzed genome-wide association results from 46,354 individuals of European, African, East Asian, and Hispanic ancestry. All studies performed linear regression analysis using an additive genetic model and associated approximately 35 million imputed variants with natural-log transformed phenotype levels. In vitro gene silencing in cultured endothelial cells was performed for candidate genes to provide additional evidence on association and function. Two-sample Mendelian randomization (MR) analyses were applied to test the causal role of FVIII and VWF plasma levels on the risk of arterial and venous thrombotic events.
RESULTS: We identified 13 novel genome-wide significant (p≤2.5x10) associations; 7 with FVIII levels ( FCHO2/TMEM171/TNPO1, HLA, SOX17/RP1, LINC00583/NFIB, RAB5C-KAT2A, RPL3/TAB1/SYNGR1, and ARSA) and 11 with VWF levels ( PDHB/PXK/KCTD6, SLC39A8, FCHO2/TMEM171/TNPO1, HLA, GIMAP7/GIMAP4, OR13C5/NIPSNAP, DAB2IP, C2CD4B, RAB5C-KAT2A, TAB1/SYNGR1, and ARSA), beyond 10 previously reported associations with these phenotypes. Functional validation provided further evidence of association for all loci on VWF except ARSA and DAB2IP. MR suggested causal effects of plasma FVIII activity levels on venous thrombosis and coronary artery disease risk and plasma VWF levels on ischemic stroke risk.
CONCLUSIONS: The meta-analysis identified 13 novel genetic loci regulating FVIII and VWF plasma levels, 10 of which we validated functionally. We provide some evidence for a causal role of these proteins in thrombotic events.
1 aSabater-Lleal, Maria1 aHuffman, Jennifer, E1 ade Vries, Paul, S1 aMarten, Jonathan1 aMastrangelo, Michael, A1 aSong, Ci1 aPankratz, Nathan1 aWard-Caviness, Cavin, K1 aYanek, Lisa, R1 aTrompet, Stella1 aDelgado, Graciela, E1 aGuo, Xiuqing1 aBartz, Traci, M1 aMartinez-Perez, Angel1 aGermain, Marine1 ade Haan, Hugoline, G1 aOzel, Ayse, B1 aPolasek, Ozren1 aSmith, Albert, V1 aEicher, John, D1 aReiner, Alex, P1 aTang, Weihong1 aDavies, Neil, M1 aStott, David, J1 aRotter, Jerome, I1 aTofler, Geoffrey, H1 aBoerwinkle, Eric1 ade Maat, Moniek, P M1 aKleber, Marcus, E1 aWelsh, Paul1 aBrody, Jennifer, A1 aChen, Ming-Huei1 aVaidya, Dhananjay1 aSoria, José, Manuel1 aSuchon, Pierre1 aVlieg, Astrid, van Hylcka1 aDesch, Karl, C1 aKolcic, Ivana1 aJoshi, Peter, K1 aLauner, Lenore, J1 aHarris, Tamara, B1 aCampbell, Harry1 aRudan, Igor1 aBecker, Diane, M1 aLi, Jun, Z1 aRivadeneira, Fernando1 aUitterlinden, André, G1 aHofman, Albert1 aFranco, Oscar, H1 aCushman, Mary1 aPsaty, Bruce, M1 aMorange, Pierre-Emmanuel1 aMcKnight, Barbara1 aChong, Michael, R1 aFernandez-Cadenas, Israel1 aRosand, Jonathan1 aLindgren, Arne1 aGudnason, Vilmundur1 aWilson, James, F1 aHayward, Caroline1 aGinsburg, David1 aFornage, Myriam1 aRosendaal, Frits, R1 aSouto, Juan, Carlos1 aBecker, Lewis, C1 aJenny, Nancy, S1 aMärz, Winfried1 aJukema, Wouter1 aDehghan, Abbas1 aTrégouët, David-Alexandre1 aMorrison, Alanna, C1 aJohnson, Andrew, D1 aO'Donnell, Christopher, J1 aStrachan, David, P1 aLowenstein, Charles, J1 aSmith, Nicholas, L1 aINVENT Consortium; MEGASTROKE consortium of the International Stroke Genetics Consortium (ISGC) uhttps://chs-nhlbi.org/node/792407247nas a2202185 4500008004100000022001400041245013000055210006900185260001500254300000900269490000600278520110800284653002001392653003101412653003501443653002101478653003801499653003401537653001101571653001401582653002801596653003601624653002801660653001701688100002301705700002801728700002201756700001701778700001901795700002401814700002201838700002401860700002301884700001601907700002001923700001901943700002101962700001701983700003002000700001902030700001502049700001902064700003302083700002102116700002002137700002002157700002102177700002502198700002002223700002302243700001802266700001902284700001802303700001902321700002302340700001902363700002202382700001902404700002802423700001702451700002102468700002002489700001902509700002002528700002002548700001602568700002102584700002302605700002302628700002502651700002402676700002002700700002502720700002302745700002002768700001502788700001902803700002002822700001702842700002102859700002002880700002002900700002102920700002602941700001902967700002002986700001903006700002003025700002003045700001903065700002003084700001803104700001903122700002503141700002203166700001603188700002303204700002003227700002003247700002003267700001703287700001803304700002003322700001903342700003103361700001503392700002303407700002203430700002003452700001803472700002103490700002103511700002103532700001803553700001903571700001903590700001903609700002003628700002103648700002603669700001903695700002203714700002203736700002003758700001803778700001703796700001803813700002103831700002103852700001903873700002203892700002303914700002303937700002503960700002203985700001604007700001604023700002104039700002004060700002004080700001704100700002304117700001604140700002204156700002204178700002504200700001504225700001804240700002104258700002304279700001604302700001804318700002004336700001704356700001804373700001904391700002204410700002404432700002004456700002004476700002304496700002304519700002904542700002204571700002004593700002104613700002104634700002204655700002304677700002004700700001904720700002804739700002104767700002204788700002304810700002404833700001704857700002404874700002404898700002804922700001904950700003004969710002604999856003605025 2018 eng d a2041-172300aGWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes.0 aGWAS and colocalization analyses implicate carotid intimamedia t c2018 12 03 a51410 v93 aCarotid artery intima media thickness (cIMT) and carotid plaque are measures of subclinical atherosclerosis associated with ischemic stroke and coronary heart disease (CHD). Here, we undertake meta-analyses of genome-wide association studies (GWAS) in 71,128 individuals for cIMT, and 48,434 individuals for carotid plaque traits. We identify eight novel susceptibility loci for cIMT, one independent association at the previously-identified PINX1 locus, and one novel locus for carotid plaque. Colocalization analysis with nearby vascular expression quantitative loci (cis-eQTLs) derived from arterial wall and metabolic tissues obtained from patients with CHD identifies candidate genes at two potentially additional loci, ADAMTS9 and LOXL4. LD score regression reveals significant genetic correlations between cIMT and plaque traits, and both cIMT and plaque with CHD, any stroke subtype and ischemic stroke. Our study provides insights into genes and tissue-specific regulatory mechanisms linking atherosclerosis both to its functional genomic origins and its clinical consequences in humans.
10aADAMTS9 Protein10aAmino Acid Oxidoreductases10aCarotid Intima-Media Thickness10aCoronary Disease10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aHumans10aLod Score10aPlaque, Atherosclerotic10aPolymorphism, Single Nucleotide10aQuantitative Trait Loci10aRisk Factors1 aFranceschini, Nora1 aGiambartolomei, Claudia1 ade Vries, Paul, S1 aFinan, Chris1 aBis, Joshua, C1 aHuntley, Rachael, P1 aLovering, Ruth, C1 aTajuddin, Salman, M1 aWinkler, Thomas, W1 aGraff, Misa1 aKavousi, Maryam1 aDale, Caroline1 aSmith, Albert, V1 aHofer, Edith1 avan Leeuwen, Elisabeth, M1 aNolte, Ilja, M1 aLu, Lingyi1 aScholz, Markus1 aSargurupremraj, Muralidharan1 aPitkänen, Niina1 aFranzén, Oscar1 aJoshi, Peter, K1 aNoordam, Raymond1 aMarioni, Riccardo, E1 aHwang, Shih-Jen1 aMusani, Solomon, K1 aSchminke, Ulf1 aPalmas, Walter1 aIsaacs, Aaron1 aCorrea, Adolfo1 aZonderman, Alan, B1 aHofman, Albert1 aTeumer, Alexander1 aCox, Amanda, J1 aUitterlinden, André, G1 aWong, Andrew1 aSmit, Andries, J1 aNewman, Anne, B1 aBritton, Annie1 aRuusalepp, Arno1 aSennblad, Bengt1 aHedblad, Bo1 aPasaniuc, Bogdan1 aPenninx, Brenda, W1 aLangefeld, Carl, D1 aWassel, Christina, L1 aTzourio, Christophe1 aFava, Cristiano1 aBaldassarre, Damiano1 aO'Leary, Daniel, H1 aTeupser, Daniel1 aKuh, Diana1 aTremoli, Elena1 aMannarino, Elmo1 aGrossi, Enzo1 aBoerwinkle, Eric1 aSchadt, Eric, E1 aIngelsson, Erik1 aVeglia, Fabrizio1 aRivadeneira, Fernando1 aBeutner, Frank1 aChauhan, Ganesh1 aHeiss, Gerardo1 aSnieder, Harold1 aCampbell, Harry1 aVölzke, Henry1 aMarkus, Hugh, S1 aDeary, Ian, J1 aJukema, Wouter1 ade Graaf, Jacqueline1 aPrice, Jacqueline1 aPott, Janne1 aHopewell, Jemma, C1 aLiang, Jingjing1 aThiery, Joachim1 aEngmann, Jorgen1 aGertow, Karl1 aRice, Kenneth1 aTaylor, Kent, D1 aDhana, Klodian1 aKiemeney, Lambertus, A L M1 aLind, Lars1 aRaffield, Laura, M1 aLauner, Lenore, J1 aHoldt, Lesca, M1 aDörr, Marcus1 aDichgans, Martin1 aTraylor, Matthew1 aSitzer, Matthias1 aKumari, Meena1 aKivimaki, Mika1 aNalls, Mike, A1 aMelander, Olle1 aRaitakari, Olli1 aFranco, Oscar, H1 aRueda-Ochoa, Oscar, L1 aRoussos, Panos1 aWhincup, Peter, H1 aAmouyel, Philippe1 aGiral, Philippe1 aAnugu, Pramod1 aWong, Quenna1 aMalik, Rainer1 aRauramaa, Rainer1 aBurkhardt, Ralph1 aHardy, Rebecca1 aSchmidt, Reinhold1 ade Mutsert, Renée1 aMorris, Richard, W1 aStrawbridge, Rona, J1 aWannamethee, Goya1 aHägg, Sara1 aShah, Sonia1 aMcLachlan, Stela1 aTrompet, Stella1 aSeshadri, Sudha1 aKurl, Sudhir1 aHeckbert, Susan, R1 aRing, Susan1 aHarris, Tamara, B1 aLehtimäki, Terho1 aGalesloot, Tessel, E1 aShah, Tina1 ade Faire, Ulf1 aPlagnol, Vincent1 aRosamond, Wayne, D1 aPost, Wendy1 aZhu, Xiaofeng1 aZhang, Xiaoling1 aGuo, Xiuqing1 aSaba, Yasaman1 aDehghan, Abbas1 aSeldenrijk, Adrie1 aMorrison, Alanna, C1 aHamsten, Anders1 aPsaty, Bruce, M1 aDuijn, Cornelia, M1 aLawlor, Deborah, A1 aMook-Kanamori, Dennis, O1 aBowden, Donald, W1 aSchmidt, Helena1 aWilson, James, F1 aWilson, James, G1 aRotter, Jerome, I1 aWardlaw, Joanna, M1 aDeanfield, John1 aHalcox, Julian1 aLyytikäinen, Leo-Pekka1 aLoeffler, Markus1 aEvans, Michele, K1 aDebette, Stephanie1 aHumphries, Steve, E1 aVölker, Uwe1 aGudnason, Vilmundur1 aHingorani, Aroon, D1 aBjörkegren, Johan, L M1 aCasas, Juan, P1 aO'Donnell, Christopher, J1 aMEGASTROKE Consortium uhttps://chs-nhlbi.org/node/791303116nas a2200673 4500008004100000022001400041245012500055210006900180260001500249300000900264490000600273520115900279653001001438653003801448653004501486653001101531653002601542653002701568653003101595653003801626653003301664653001401697100001801711700001301729700002301742700001901765700001901784700002501803700001601828700002001844700003001864700001901894700001301913700001901926700002101945700002001966700001701986700001302003700001902016700002102035700002402056700001902080700001302099700002802112700001902140700001602159700002202175700002102197700001902218700002202237700002302259700002102282700002002303700002102323700002102344700002202365700001902387856003602406 2018 eng d a2041-172300aLarge-scale whole-exome sequencing association studies identify rare functional variants influencing serum urate levels.0 aLargescale wholeexome sequencing association studies identify ra c2018 10 12 a42280 v93 aElevated serum urate levels can cause gout, an excruciating disease with suboptimal treatment. Previous GWAS identified common variants with modest effects on serum urate. Here we report large-scale whole-exome sequencing association studies of serum urate and kidney function among ≤19,517 European ancestry and African-American individuals. We identify aggregate associations of low-frequency damaging variants in the urate transporters SLC22A12 (URAT1; p = 1.3 × 10) and SLC2A9 (p = 4.5 × 10). Gout risk in rare SLC22A12 variant carriers is halved (OR = 0.5, p = 4.9 × 10). Selected rare variants in SLC22A12 are validated in transport studies, confirming three as loss-of-function (R325W, R405C, and T467M) and illustrating the therapeutic potential of the new URAT1-blocker lesinurad. In SLC2A9, mapping of rare variants of large effects onto the predicted protein structure reveals new residues that may affect urate binding. These findings provide new insights into the genetic architecture of serum urate, and highlight molecular targets in SLC22A12 and SLC2A9 for lowering serum urate and preventing gout.
10aExome10aGenetic Predisposition to Disease10aGlucose Transport Proteins, Facilitative10aHumans10aKidney Function Tests10aMeta-Analysis as Topic10aOrganic Anion Transporters10aOrganic Cation Transport Proteins10aProtein Structure, Secondary10aUric Acid1 aTin, Adrienne1 aLi, Yong1 aBrody, Jennifer, A1 aNutile, Teresa1 aChu, Audrey, Y1 aHuffman, Jennifer, E1 aYang, Qiong1 aChen, Ming-Huei1 aRobinson-Cohen, Cassianne1 aMace, Aurelien1 aLiu, Jun1 aDemirkan, Ayse1 aSorice, Rossella1 aSedaghat, Sanaz1 aSwen, Melody1 aYu, Bing1 aGhasemi, Sahar1 aTeumer, Alexanda1 aVollenweider, Peter1 aCiullo, Marina1 aLi, Meng1 aUitterlinden, André, G1 aKraaij, Robert1 aAmin, Najaf1 avan Rooij, Jeroen1 aKutalik, Zoltán1 aDehghan, Abbas1 aMcKnight, Barbara1 aDuijn, Cornelia, M1 aMorrison, Alanna1 aPsaty, Bruce, M1 aBoerwinkle, Eric1 aFox, Caroline, S1 aWoodward, Owen, M1 aKöttgen, Anna uhttps://chs-nhlbi.org/node/792809584nas a2203049 4500008004100000022001400041245011700055210006900172260001300241300001200254490000700266520112500273100002001398700002101418700002101439700001401460700002301474700001901497700001301516700002401529700001901553700002001572700001701592700001801609700001201627700002301639700001201662700001801674700002001692700001801712700001901730700002301749700002001772700001801792700003601810700002001846700002001866700002001886700002301906700003001929700002101959700002001980700002002000700002102020700001202041700002602053700001302079700002002092700002302112700002202135700001902157700002702176700003202203700002102235700002102256700002002277700002402297700002102321700002502342700002102367700002002388700002002408700002402428700002102452700001602473700001802489700001902507700001902526700001602545700001702561700002202578700002302600700002302623700002102646700002302667700001902690700002202709700002202731700001902753700002402772700002402796700002102820700002002841700002202861700002602883700002002909700002502929700002202954700001402976700001502990700002603005700002503031700001503056700002003071700002503091700002303116700002903139700001703168700001903185700002503204700001803229700002203247700002403269700001803293700002103311700001803332700002003350700001703370700001903387700002103406700001803427700001303445700001503458700001803473700002203491700002703513700002103540700001803561700002103579700001903600700002403619700002303643700001803666700002103684700001503705700002103720700002603741700002203767700002103789700002503810700002303835700002003858700002403878700002103902700002503923700001803948700001803966700001803984700002104002700002004023700001904043700001304062700001604075700001704091700002204108700001904130700002104149700002404170700001904194700002404213700002204237700001904259700002004278700002304298700002004321700002004341700002304361700002404384700002204408700002304430700002404453700002204477700002204499700001504521700002204536700002404558700002204582700002504604700002104629700002204650700001904672700002104691700001804712700002204730700002204752700002304774700002504797700002304822700001904845700002004864700002504884700001804909700002004927700002604947700002404973700002504997700002005022700002105042700001605063700002005079700002405099700002805123700001705151700002305168700002205191700002505213700002905238700002305267700001705290700002005307700001905327700002105346700002005367700002205387700002105409700001605430700001805446700001905464700002605483700002205509700002005531700002405551700001905575700002605594700001905620700002005639700001905659700001205678700001505690700001705705700002005722700002305742700002105765700002605786700002805812700002305840700002105863700001905884700002005903700002105923700001905944700002505963700002005988700002406008700002106032700002206053700002806075700002206103700002306125700002506148700002106173700002406194700002106218700001906239700002506258700002206283700002006305700002106325700002106346700002206367700002206389700002206411710002306433710002106456710002106477856003606498 2018 eng d a1546-171800aRefining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes.0 aRefining the accuracy of validated target identification through c2018 Apr a559-5710 v503 aWe aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P < 2.2 × 10); of these, 16 map outside known risk-associated loci. We make two important observations. First, only five of these signals are driven by low-frequency variants: even for these, effect sizes are modest (odds ratio ≤1.29). Second, when we used large-scale genome-wide association data to fine-map the associated variants in their regional context, accounting for the global enrichment of complex trait associations in coding sequence, compelling evidence for coding variant causality was obtained for only 16 signals. At 13 others, the associated coding variants clearly represent 'false leads' with potential to generate erroneous mechanistic inference. Coding variant associations offer a direct route to biological insight for complex diseases and identification of validated therapeutic targets; however, appropriate mechanistic inference requires careful specification of their causal contribution to disease predisposition.
1 aMahajan, Anubha1 aWessel, Jennifer1 aWillems, Sara, M1 aZhao, Wei1 aRobertson, Neil, R1 aChu, Audrey, Y1 aGan, Wei1 aKitajima, Hidetoshi1 aTaliun, Daniel1 aRayner, William1 aGuo, Xiuqing1 aLu, Yingchang1 aLi, Man1 aJensen, Richard, A1 aHu, Yao1 aHuo, Shaofeng1 aLohman, Kurt, K1 aZhang, Weihua1 aCook, James, P1 aPrins, Bram, Peter1 aFlannick, Jason1 aGrarup, Niels1 aTrubetskoy, Vassily, Vladimirov1 aKravic, Jasmina1 aKim, Young, Jin1 aRybin, Denis, V1 aYaghootkar, Hanieh1 aMüller-Nurasyid, Martina1 aMeidtner, Karina1 aLi-Gao, Ruifang1 aVarga, Tibor, V1 aMarten, Jonathan1 aLi, Jin1 aSmith, Albert, Vernon1 aAn, Ping1 aLigthart, Symen1 aGustafsson, Stefan1 aMalerba, Giovanni1 aDemirkan, Ayse1 aTajes, Juan, Fernandez1 aSteinthorsdottir, Valgerdur1 aWuttke, Matthias1 aLecoeur, Cécile1 aPreuss, Michael1 aBielak, Lawrence, F1 aGraff, Marielisa1 aHighland, Heather, M1 aJustice, Anne, E1 aLiu, Dajiang, J1 aMarouli, Eirini1 aPeloso, Gina, Marie1 aWarren, Helen, R1 aAfaq, Saima1 aAfzal, Shoaib1 aAhlqvist, Emma1 aAlmgren, Peter1 aAmin, Najaf1 aBang, Lia, B1 aBertoni, Alain, G1 aBombieri, Cristina1 aBork-Jensen, Jette1 aBrandslund, Ivan1 aBrody, Jennifer, A1 aBurtt, Noel, P1 aCanouil, Mickaël1 aChen, Yii-Der Ida1 aCho, Yoon Shin1 aChristensen, Cramer1 aEastwood, Sophie, V1 aEckardt, Kai-Uwe1 aFischer, Krista1 aGambaro, Giovanni1 aGiedraitis, Vilmantas1 aGrove, Megan, L1 ade Haan, Hugoline, G1 aHackinger, Sophie1 aHai, Yang1 aHan, Sohee1 aTybjærg-Hansen, Anne1 aHivert, Marie-France1 aIsomaa, Bo1 aJäger, Susanne1 aJørgensen, Marit, E1 aJørgensen, Torben1 aKäräjämäki, AnneMari1 aKim, Bong-Jo1 aKim, Sung, Soo1 aKoistinen, Heikki, A1 aKovacs, Peter1 aKriebel, Jennifer1 aKronenberg, Florian1 aLäll, Kristi1 aLange, Leslie, A1 aLee, Jung-Jin1 aLehne, Benjamin1 aLi, Huaixing1 aLin, Keng-Hung1 aLinneberg, Allan1 aLiu, Ching-Ti1 aLiu, Jun1 aLoh, Marie1 aMägi, Reedik1 aMamakou, Vasiliki1 aMcKean-Cowdin, Roberta1 aNadkarni, Girish1 aNeville, Matt1 aNielsen, Sune, F1 aNtalla, Ioanna1 aPeyser, Patricia, A1 aRathmann, Wolfgang1 aRice, Kenneth1 aRich, Stephen, S1 aRode, Line1 aRolandsson, Olov1 aSchönherr, Sebastian1 aSelvin, Elizabeth1 aSmall, Kerrin, S1 aStančáková, Alena1 aSurendran, Praveen1 aTaylor, Kent, D1 aTeslovich, Tanya, M1 aThorand, Barbara1 aThorleifsson, Gudmar1 aTin, Adrienne1 aTönjes, Anke1 aVarbo, Anette1 aWitte, Daniel, R1 aWood, Andrew, R1 aYajnik, Pranav1 aYao, Jie1 aYengo, Loic1 aYoung, Robin1 aAmouyel, Philippe1 aBoeing, Heiner1 aBoerwinkle, Eric1 aBottinger, Erwin, P1 aChowdhury, Raj1 aCollins, Francis, S1 aDedoussis, George1 aDehghan, Abbas1 aDeloukas, Panos1 aFerrario, Marco, M1 aFerrieres, Jean1 aFlorez, Jose, C1 aFrossard, Philippe1 aGudnason, Vilmundur1 aHarris, Tamara, B1 aHeckbert, Susan, R1 aHowson, Joanna, M M1 aIngelsson, Martin1 aKathiresan, Sekar1 aKee, Frank1 aKuusisto, Johanna1 aLangenberg, Claudia1 aLauner, Lenore, J1 aLindgren, Cecilia, M1 aMännistö, Satu1 aMeitinger, Thomas1 aMelander, Olle1 aMohlke, Karen, L1 aMoitry, Marie1 aMorris, Andrew, D1 aMurray, Alison, D1 ade Mutsert, Renée1 aOrho-Melander, Marju1 aOwen, Katharine, R1 aPerola, Markus1 aPeters, Annette1 aProvince, Michael, A1 aRasheed, Asif1 aRidker, Paul, M1 aRivadineira, Fernando1 aRosendaal, Frits, R1 aRosengren, Anders, H1 aSalomaa, Veikko1 aSheu, Wayne, H-H1 aSladek, Rob1 aSmith, Blair, H1 aStrauch, Konstantin1 aUitterlinden, André, G1 aVarma, Rohit1 aWiller, Cristen, J1 aBlüher, Matthias1 aButterworth, Adam, S1 aChambers, John, Campbell1 aChasman, Daniel, I1 aDanesh, John1 aDuijn, Cornelia1 aDupuis, Josée1 aFranco, Oscar, H1 aFranks, Paul, W1 aFroguel, Philippe1 aGrallert, Harald1 aGroop, Leif1 aHan, Bok-Ghee1 aHansen, Torben1 aHattersley, Andrew, T1 aHayward, Caroline1 aIngelsson, Erik1 aKardia, Sharon, L R1 aKarpe, Fredrik1 aKooner, Jaspal, Singh1 aKöttgen, Anna1 aKuulasmaa, Kari1 aLaakso, Markku1 aLin, Xu1 aLind, Lars1 aLiu, Yongmei1 aLoos, Ruth, J F1 aMarchini, Jonathan1 aMetspalu, Andres1 aMook-Kanamori, Dennis1 aNordestgaard, Børge, G1 aPalmer, Colin, N A1 aPankow, James, S1 aPedersen, Oluf1 aPsaty, Bruce, M1 aRauramaa, Rainer1 aSattar, Naveed1 aSchulze, Matthias, B1 aSoranzo, Nicole1 aSpector, Timothy, D1 aStefansson, Kari1 aStumvoll, Michael1 aThorsteinsdottir, Unnur1 aTuomi, Tiinamaija1 aTuomilehto, Jaakko1 aWareham, Nicholas, J1 aWilson, James, G1 aZeggini, Eleftheria1 aScott, Robert, A1 aBarroso, Inês1 aFrayling, Timothy, M1 aGoodarzi, Mark, O1 aMeigs, James, B1 aBoehnke, Michael1 aSaleheen, Danish1 aMorris, Andrew, P1 aRotter, Jerome, I1 aMcCarthy, Mark, I1 aExomeBP Consortium1 aMAGIC Consortium1 aGIANT Consortium uhttps://chs-nhlbi.org/node/766808823nas a2202773 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2018 eng d a2041-172300aStudy of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function.0 aStudy of 300486 individuals identifies 148 independent genetic l c2018 May 29 a20980 v93 aGeneral cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci (P < 5 × 10) associated with general cognitive function. Within the novel genetic loci are variants associated with neurodegenerative and neurodevelopmental disorders, physical and psychiatric illnesses, and brain structure. Gene-based analyses find 709 genes associated with general cognitive function. Expression levels across the cortex are associated with general cognitive function. Using polygenic scores, up to 4.3% of variance in general cognitive function is predicted in independent samples. We detect significant genetic overlap between general cognitive function, reaction time, and many health variables including eyesight, hypertension, and longevity. In conclusion we identify novel genetic loci and pathways contributing to the heritability of general cognitive function.
1 aDavies, Gail1 aLam, Max1 aHarris, Sarah, E1 aTrampush, Joey, W1 aLuciano, Michelle1 aHill, David1 aHagenaars, Saskia, P1 aRitchie, Stuart, J1 aMarioni, Riccardo, E1 aFawns-Ritchie, Chloe1 aLiewald, David, C M1 aOkely, Judith, A1 aAhola-Olli, Ari, V1 aBarnes, Catriona, L K1 aBertram, Lars1 aBis, Joshua, C1 aBurdick, Katherine, E1 aChristoforou, Andrea1 aDeRosse, Pamela1 aDjurovic, Srdjan1 aEspeseth, Thomas1 aGiakoumaki, Stella1 aGiddaluru, Sudheer1 aGustavson, Daniel, E1 aHayward, Caroline1 aHofer, Edith1 aIkram, Arfan, M1 aKarlsson, Robert1 aKnowles, Emma1 aLahti, Jari1 aLeber, Markus1 aLi, Shuo1 aMather, Karen, A1 aMelle, Ingrid1 aMorris, Derek1 aOldmeadow, Christopher1 aPalviainen, Teemu1 aPayton, Antony1 aPazoki, Raha1 aPetrovic, Katja1 aReynolds, Chandra, A1 aSargurupremraj, Muralidharan1 aScholz, Markus1 aSmith, Jennifer, A1 aSmith, Albert, V1 aTerzikhan, Natalie1 aThalamuthu, Anbupalam1 aTrompet, Stella1 avan der Lee, Sven, J1 aWare, Erin, B1 aWindham, Gwen1 aWright, Margaret, J1 aYang, Jingyun1 aYu, Jin1 aAmes, David1 aAmin, Najaf1 aAmouyel, Philippe1 aAndreassen, Ole, A1 aArmstrong, Nicola, J1 aAssareh, Amelia, A1 aAttia, John, R1 aAttix, Deborah1 aAvramopoulos, Dimitrios1 aBennett, David, A1 aBöhmer, Anne, C1 aBoyle, Patricia, A1 aBrodaty, Henry1 aCampbell, Harry1 aCannon, Tyrone, D1 aCirulli, Elizabeth, T1 aCongdon, Eliza1 aConley, Emily, Drabant1 aCorley, Janie1 aCox, Simon, R1 aDale, Anders, M1 aDehghan, Abbas1 aDick, Danielle1 aDickinson, Dwight1 aEriksson, Johan, G1 aEvangelou, Evangelos1 aFaul, Jessica, D1 aFord, Ian1 aFreimer, Nelson, A1 aGao, He1 aGiegling, Ina1 aGillespie, Nathan, A1 aGordon, Scott, D1 aGottesman, Rebecca, F1 aGriswold, Michael, E1 aGudnason, Vilmundur1 aHarris, Tamara, B1 aHartmann, Annette, M1 aHatzimanolis, Alex1 aHeiss, Gerardo1 aHolliday, Elizabeth, G1 aJoshi, Peter, K1 aKähönen, Mika1 aKardia, Sharon, L R1 aKarlsson, Ida1 aKleineidam, Luca1 aKnopman, David, S1 aKochan, Nicole, A1 aKonte, Bettina1 aKwok, John, B1 aLe Hellard, Stephanie1 aLee, Teresa1 aLehtimäki, Terho1 aLi, Shu-Chen1 aLiu, Tian1 aKoini, Marisa1 aLondon, Edythe1 aLongstreth, Will, T1 aLopez, Oscar, L1 aLoukola, Anu1 aLuck, Tobias1 aLundervold, Astri, J1 aLundquist, Anders1 aLyytikäinen, Leo-Pekka1 aMartin, Nicholas, G1 aMontgomery, Grant, W1 aMurray, Alison, D1 aNeed, Anna, C1 aNoordam, Raymond1 aNyberg, Lars1 aOllier, William1 aPapenberg, Goran1 aPattie, Alison1 aPolasek, Ozren1 aPoldrack, Russell, A1 aPsaty, Bruce, M1 aReppermund, Simone1 aRiedel-Heller, Steffi, G1 aRose, Richard, J1 aRotter, Jerome, I1 aRoussos, Panos1 aRovio, Suvi, P1 aSaba, Yasaman1 aSabb, Fred, W1 aSachdev, Perminder, S1 aSatizabal, Claudia, L1 aSchmid, Matthias1 aScott, Rodney, J1 aScult, Matthew, A1 aSimino, Jeannette1 aSlagboom, Eline1 aSmyrnis, Nikolaos1 aSoumaré, Aïcha1 aStefanis, Nikos, C1 aStott, David, J1 aStraub, Richard, E1 aSundet, Kjetil1 aTaylor, Adele, M1 aTaylor, Kent, D1 aTzoulaki, Ioanna1 aTzourio, Christophe1 aUitterlinden, Andre1 aVitart, Veronique1 aVoineskos, Aristotle, N1 aKaprio, Jaakko1 aWagner, Michael1 aWagner, Holger1 aWeinhold, Leonie1 aWen, Hoyan1 aWiden, Elisabeth1 aYang, Qiong1 aZhao, Wei1 aAdams, Hieab, H H1 aArking, Dan, E1 aBilder, Robert, M1 aBitsios, Panos1 aBoerwinkle, Eric1 aChiba-Falek, Ornit1 aCorvin, Aiden1 aDe Jager, Philip, L1 aDebette, Stephanie1 aDonohoe, Gary1 aElliott, Paul1 aFitzpatrick, Annette, L1 aGill, Michael1 aGlahn, David, C1 aHägg, Sara1 aHansell, Narelle, K1 aHariri, Ahmad, R1 aIkram, Kamran1 aJukema, Wouter1 aVuoksimaa, Eero1 aKeller, Matthew, C1 aKremen, William, S1 aLauner, Lenore1 aLindenberger, Ulman1 aPalotie, Aarno1 aPedersen, Nancy, L1 aPendleton, Neil1 aPorteous, David, J1 aRäikkönen, Katri1 aRaitakari, Olli, T1 aRamirez, Alfredo1 aReinvang, Ivar1 aRudan, Igor1 aSchmidt, Reinhold1 aSchmidt, Helena1 aSchofield, Peter, W1 aSchofield, Peter, R1 aStarr, John, M1 aSteen, Vidar, M1 aTrollor, Julian, N1 aTurner, Steven, T1 aDuijn, Cornelia, M1 aVillringer, Arno1 aWeinberger, Daniel, R1 aWeir, David, R1 aWilson, James, F1 aMalhotra, Anil1 aMcIntosh, Andrew, M1 aGale, Catharine, R1 aSeshadri, Sudha1 aMosley, Thomas, H1 aBressler, Jan1 aLencz, Todd1 aDeary, Ian, J uhttps://chs-nhlbi.org/node/778804760nas a2201057 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2019 eng d a1524-453900aBlood Leukocyte DNA Methylation Predicts Risk of Future Myocardial Infarction and Coronary Heart Disease.0 aBlood Leukocyte DNA Methylation Predicts Risk of Future Myocardi c2019 08 20 a645-6570 v1403 aBACKGROUND: DNA methylation is implicated in coronary heart disease (CHD), but current evidence is based on small, cross-sectional studies. We examined blood DNA methylation in relation to incident CHD across multiple prospective cohorts.
METHODS: Nine population-based cohorts from the United States and Europe profiled epigenome-wide blood leukocyte DNA methylation using the Illumina Infinium 450k microarray, and prospectively ascertained CHD events including coronary insufficiency/unstable angina, recognized myocardial infarction, coronary revascularization, and coronary death. Cohorts conducted race-specific analyses adjusted for age, sex, smoking, education, body mass index, blood cell type proportions, and technical variables. We conducted fixed-effect meta-analyses across cohorts.
RESULTS: Among 11 461 individuals (mean age 64 years, 67% women, 35% African American) free of CHD at baseline, 1895 developed CHD during a mean follow-up of 11.2 years. Methylation levels at 52 CpG (cytosine-phosphate-guanine) sites were associated with incident CHD or myocardial infarction (false discovery rate<0.05). These CpGs map to genes with key roles in calcium regulation (ATP2B2, CASR, GUCA1B, HPCAL1), and genes identified in genome- and epigenome-wide studies of serum calcium (CASR), serum calcium-related risk of CHD (CASR), coronary artery calcified plaque (PTPRN2), and kidney function (CDH23, HPCAL1), among others. Mendelian randomization analyses supported a causal effect of DNA methylation on incident CHD; these CpGs map to active regulatory regions proximal to long non-coding RNA transcripts.
CONCLUSION: Methylation of blood-derived DNA is associated with risk of future CHD across diverse populations and may serve as an informative tool for gaining further insight on the development of CHD.
10aAdult10aAged10aCohort Studies10aCoronary Disease10aCpG Islands10aDNA Methylation10aEurope10aFemale10aGenome-Wide Association Study10aHumans10aIncidence10aLeukocytes10aMale10aMiddle Aged10aMyocardial Infarction10aPopulation Groups10aPrognosis10aProspective Studies10aRisk10aUnited States1 aAgha, Golareh1 aMendelson, Michael, M1 aWard-Caviness, Cavin, K1 aJoehanes, Roby1 aHuan, Tianxiao1 aGondalia, Rahul1 aSalfati, Elias1 aBrody, Jennifer, A1 aFiorito, Giovanni1 aBressler, Jan1 aChen, Brian, H1 aLigthart, Symen1 aGuarrera, Simonetta1 aColicino, Elena1 aJust, Allan, C1 aWahl, Simone1 aGieger, Christian1 aVandiver, Amy, R1 aTanaka, Toshiko1 aHernandez, Dena, G1 aPilling, Luke, C1 aSingleton, Andrew, B1 aSacerdote, Carlotta1 aKrogh, Vittorio1 aPanico, Salvatore1 aTumino, Rosario1 aLi, Yun1 aZhang, Guosheng1 aStewart, James, D1 aFloyd, James, S1 aWiggins, Kerri, L1 aRotter, Jerome, I1 aMulthaup, Michael1 aBakulski, Kelly1 aHorvath, Steven1 aTsao, Philip, S1 aAbsher, Devin, M1 aVokonas, Pantel1 aHirschhorn, Joel1 aFallin, Daniele1 aLiu, Chunyu1 aBandinelli, Stefania1 aBoerwinkle, Eric1 aDehghan, Abbas1 aSchwartz, Joel, D1 aPsaty, Bruce, M1 aFeinberg, Andrew, P1 aHou, Lifang1 aFerrucci, Luigi1 aSotoodehnia, Nona1 aMatullo, Giuseppe1 aPeters, Annette1 aFornage, Myriam1 aAssimes, Themistocles, L1 aWhitsel, Eric, A1 aLevy, Daniel1 aBaccarelli, Andrea, A uhttps://chs-nhlbi.org/node/850713143nas a2204261 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2019 eng d a1546-171800aA catalog of genetic loci associated with kidney function from analyses of a million individuals.0 acatalog of genetic loci associated with kidney function from ana c2019 06 a957-9720 v513 aChronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.
10aChromosome Mapping10aEuropean Continental Ancestry Group10aGenetic Association Studies10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aGlomerular Filtration Rate10aHumans10aInheritance Patterns10aKidney Function Tests10aPhenotype10aPolymorphism, Single Nucleotide10aQuantitative Trait Loci10aQuantitative Trait, Heritable10aRenal Insufficiency, Chronic10aUromodulin1 aWuttke, Matthias1 aLi, Yong1 aLi, Man1 aSieber, Karsten, B1 aFeitosa, Mary, F1 aGorski, Mathias1 aTin, Adrienne1 aWang, Lihua1 aChu, Audrey, Y1 aHoppmann, Anselm1 aKirsten, Holger1 aGiri, Ayush1 aChai, Jin-Fang1 aSveinbjornsson, Gardar1 aTayo, Bamidele, O1 aNutile, Teresa1 aFuchsberger, Christian1 aMarten, Jonathan1 aCocca, Massimiliano1 aGhasemi, Sahar1 aXu, Yizhe1 aHorn, Katrin1 aNoce, Damia1 avan der Most, Peter, J1 aSedaghat, Sanaz1 aYu, Zhi1 aAkiyama, Masato1 aAfaq, Saima1 aAhluwalia, Tarunveer, S1 aAlmgren, Peter1 aAmin, Najaf1 aArnlöv, Johan1 aBakker, Stephan, J L1 aBansal, Nisha1 aBaptista, Daniela1 aBergmann, Sven1 aBiggs, Mary, L1 aBiino, Ginevra1 aBoehnke, Michael1 aBoerwinkle, Eric1 aBoissel, Mathilde1 aBottinger, Erwin, P1 aBoutin, Thibaud, S1 aBrenner, Hermann1 aBrumat, Marco1 aBurkhardt, Ralph1 aButterworth, Adam, S1 aCampana, Eric1 aCampbell, Archie1 aCampbell, Harry1 aCanouil, Mickaël1 aCarroll, Robert, J1 aCatamo, Eulalia1 aChambers, John, C1 aChee, Miao-Ling1 aChee, Miao-Li1 aChen, Xu1 aCheng, Ching-Yu1 aCheng, Yurong1 aChristensen, Kaare1 aCifkova, Renata1 aCiullo, Marina1 aConcas, Maria, Pina1 aCook, James, P1 aCoresh, Josef1 aCorre, Tanguy1 aSala, Cinzia, Felicita1 aCusi, Daniele1 aDanesh, John1 aDaw, Warwick1 ade Borst, Martin, H1 aDe Grandi, Alessandro1 ade Mutsert, Renée1 ade Vries, Aiko, P J1 aDegenhardt, Frauke1 aDelgado, Graciela1 aDemirkan, Ayse1 aDi Angelantonio, Emanuele1 aDittrich, Katalin1 aDivers, Jasmin1 aDorajoo, Rajkumar1 aEckardt, Kai-Uwe1 aEhret, Georg1 aElliott, Paul1 aEndlich, Karlhans1 aEvans, Michele, K1 aFelix, Janine, F1 aFoo, Valencia, Hui Xian1 aFranco, Oscar, H1 aFranke, Andre1 aFreedman, Barry, I1 aFreitag-Wolf, Sandra1 aFriedlander, Yechiel1 aFroguel, Philippe1 aGansevoort, Ron, T1 aGao, He1 aGasparini, Paolo1 aGaziano, Michael1 aGiedraitis, Vilmantas1 aGieger, Christian1 aGirotto, Giorgia1 aGiulianini, Franco1 aGögele, Martin1 aGordon, Scott, D1 aGudbjartsson, Daniel, F1 aGudnason, Vilmundur1 aHaller, Toomas1 aHamet, Pavel1 aHarris, Tamara, B1 aHartman, Catharina, A1 aHayward, Caroline1 aHellwege, Jacklyn, N1 aHeng, Chew-Kiat1 aHicks, Andrew, A1 aHofer, Edith1 aHuang, Wei1 aHutri-Kähönen, Nina1 aHwang, Shih-Jen1 aIkram, Arfan, M1 aIndridason, Olafur, S1 aIngelsson, Erik1 aIsing, Marcus1 aJaddoe, Vincent, W V1 aJakobsdottir, Johanna1 aJonas, Jost, B1 aJoshi, Peter, K1 aJosyula, Navya, Shilpa1 aJung, Bettina1 aKähönen, Mika1 aKamatani, Yoichiro1 aKammerer, Candace, M1 aKanai, Masahiro1 aKastarinen, Mika1 aKerr, Shona, M1 aKhor, Chiea-Chuen1 aKiess, Wieland1 aKleber, Marcus, E1 aKoenig, Wolfgang1 aKooner, Jaspal, S1 aKörner, Antje1 aKovacs, Peter1 aKraja, Aldi, T1 aKrajcoviechova, Alena1 aKramer, Holly1 aKrämer, Bernhard, K1 aKronenberg, Florian1 aKubo, Michiaki1 aKuhnel, Brigitte1 aKuokkanen, Mikko1 aKuusisto, Johanna1 aLa Bianca, Martina1 aLaakso, Markku1 aLange, Leslie, A1 aLangefeld, Carl, D1 aLee, Jeannette, Jen-Mai1 aLehne, Benjamin1 aLehtimäki, Terho1 aLieb, Wolfgang1 aLim, Su-Chi1 aLind, Lars1 aLindgren, Cecilia, M1 aLiu, Jun1 aLiu, Jianjun1 aLoeffler, Markus1 aLoos, Ruth, J F1 aLucae, Susanne1 aLukas, Mary, Ann1 aLyytikäinen, Leo-Pekka1 aMägi, Reedik1 aMagnusson, Patrik, K E1 aMahajan, Anubha1 aMartin, Nicholas, G1 aMartins, Jade1 aMärz, Winfried1 aMascalzoni, Deborah1 aMatsuda, Koichi1 aMeisinger, Christa1 aMeitinger, Thomas1 aMelander, Olle1 aMetspalu, Andres1 aMikaelsdottir, Evgenia, K1 aMilaneschi, Yuri1 aMiliku, Kozeta1 aMishra, Pashupati, P1 aMohlke, Karen, L1 aMononen, Nina1 aMontgomery, Grant, W1 aMook-Kanamori, Dennis, O1 aMychaleckyj, Josyf, C1 aNadkarni, Girish, N1 aNalls, Mike, A1 aNauck, Matthias1 aNikus, Kjell1 aNing, Boting1 aNolte, Ilja, M1 aNoordam, Raymond1 aO'Connell, Jeffrey1 aO'Donoghue, Michelle, L1 aOlafsson, Isleifur1 aOldehinkel, Albertine, J1 aOrho-Melander, Marju1 aOuwehand, Willem, H1 aPadmanabhan, Sandosh1 aPalmer, Nicholette, D1 aPalsson, Runolfur1 aPenninx, Brenda, W J H1 aPerls, Thomas1 aPerola, Markus1 aPirastu, Mario1 aPirastu, Nicola1 aPistis, Giorgio1 aPodgornaia, Anna, I1 aPolasek, Ozren1 aPonte, Belen1 aPorteous, David, J1 aPoulain, Tanja1 aPramstaller, Peter, P1 aPreuss, Michael, H1 aPrins, Bram, P1 aProvince, Michael, A1 aRabelink, Ton, J1 aRaffield, Laura, M1 aRaitakari, Olli, T1 aReilly, Dermot, F1 aRettig, Rainer1 aRheinberger, Myriam1 aRice, Kenneth, M1 aRidker, Paul, M1 aRivadeneira, Fernando1 aRizzi, Federica1 aRoberts, David, J1 aRobino, Antonietta1 aRossing, Peter1 aRudan, Igor1 aRueedi, Rico1 aRuggiero, Daniela1 aRyan, Kathleen, A1 aSaba, Yasaman1 aSabanayagam, Charumathi1 aSalomaa, Veikko1 aSalvi, Erika1 aSaum, Kai-Uwe1 aSchmidt, Helena1 aSchmidt, Reinhold1 aSchöttker, Ben1 aSchulz, Christina-Alexandra1 aSchupf, Nicole1 aShaffer, Christian, M1 aShi, Yuan1 aSmith, Albert, V1 aSmith, Blair, H1 aSoranzo, Nicole1 aSpracklen, Cassandra, N1 aStrauch, Konstantin1 aStringham, Heather, M1 aStumvoll, Michael1 aSvensson, Per, O1 aSzymczak, Silke1 aTai, E-Shyong1 aTajuddin, Salman, M1 aTan, Nicholas, Y Q1 aTaylor, Kent, D1 aTeren, Andrej1 aTham, Yih-Chung1 aThiery, Joachim1 aThio, Chris, H L1 aThomsen, Hauke1 aThorleifsson, Gudmar1 aToniolo, Daniela1 aTönjes, Anke1 aTremblay, Johanne1 aTzoulaki, Ioanna1 aUitterlinden, André, G1 aVaccargiu, Simona1 avan Dam, Rob, M1 aHarst, Pim1 aDuijn, Cornelia, M1 aEdward, Digna, R Velez1 aVerweij, Niek1 aVogelezang, Suzanne1 aVölker, Uwe1 aVollenweider, Peter1 aWaeber, Gérard1 aWaldenberger, Melanie1 aWallentin, Lars1 aWang, Ya, Xing1 aWang, Chaolong1 aWaterworth, Dawn, M1 aBin Wei, Wen1 aWhite, Harvey1 aWhitfield, John, B1 aWild, Sarah, H1 aWilson, James, F1 aWojczynski, Mary, K1 aWong, Charlene1 aWong, Tien-Yin1 aXu, Liang1 aYang, Qiong1 aYasuda, Masayuki1 aYerges-Armstrong, Laura, M1 aZhang, Weihua1 aZonderman, Alan, B1 aRotter, Jerome, I1 aBochud, Murielle1 aPsaty, Bruce, M1 aVitart, Veronique1 aWilson, James, G1 aDehghan, Abbas1 aParsa, Afshin1 aChasman, Daniel, I1 aHo, Kevin1 aMorris, Andrew, P1 aDevuyst, Olivier1 aAkilesh, Shreeram1 aPendergrass, Sarah, A1 aSim, Xueling1 aBöger, Carsten, A1 aOkada, Yukinori1 aEdwards, Todd, L1 aSnieder, Harold1 aStefansson, Kari1 aHung, Adriana, M1 aHeid, Iris, M1 aScholz, Markus1 aTeumer, Alexander1 aKöttgen, Anna1 aPattaro, Cristian1 aLifeLines Cohort Study1 aV. A. Million Veteran Program uhttps://chs-nhlbi.org/node/810903820nas a2200697 4500008004100000022001400041245012600055210006900181260001600250300001200266490000800278520168300286100002201969700002501991700002502016700002102041700001302062700002102075700002002096700002502116700002502141700002002166700002602186700002802212700002302240700002002263700002502283700002302308700001902331700002202350700002602372700002502398700001802423700002402441700002802465700003002493700002002523700002102543700002002564700002302584700001802607700002302625700002202648700002002670700002002690700003302710700002002743700002002763700002002783700002002803700002402823700002402847700001902871700002302890700002402913700003002937700002302967710002202990710007403012856003603086 2019 eng d a1528-002000aA genome-wide association study identifies new loci for factor VII and implicates factor VII in ischemic stroke etiology.0 agenomewide association study identifies new loci for factor VII c2019 Feb 28 a967-9770 v1333 aFactor VII (FVII) is an important component of the coagulation cascade. Few genetic loci regulating FVII activity and/or levels have been discovered to date. We conducted a meta-analysis of 9 genome-wide association studies of plasma FVII levels (7 FVII activity and 2 FVII antigen) among 27 495 participants of European and African ancestry. Each study performed ancestry-specific association analyses. Inverse variance weighted meta-analysis was performed within each ancestry group and then combined for a -ancestry meta-analysis. Our primary analysis included the 7 studies that measured FVII activity, and a secondary analysis included all 9 studies. We provided functional genomic validation for newly identified significant loci by silencing candidate genes in a human liver cell line (HuH7) using small-interfering RNA and then measuring messenger RNA and FVII protein expression. Lastly, we used meta-analysis results to perform Mendelian randomization analysis to estimate the causal effect of FVII activity on coronary artery disease, ischemic stroke (IS), and venous thromboembolism. We identified 2 novel ( and ) and 6 known loci associated with FVII activity, explaining 19.0% of the phenotypic variance. Adding FVII antigen data to the meta-analysis did not result in the discovery of further loci. Silencing in HuH7 cells upregulated FVII, whereas silencing downregulated FVII. Mendelian randomization analyses suggest that FVII activity has a positive causal effect on the risk of IS. Variants at and contribute to FVII activity by regulating expression levels. FVII activity appears to contribute to the etiology of IS in the general population.
1 ade Vries, Paul, S1 aSabater-Lleal, Maria1 aHuffman, Jennifer, E1 aMarten, Jonathan1 aSong, Ci1 aPankratz, Nathan1 aBartz, Traci, M1 ade Haan, Hugoline, G1 aDelgado, Graciela, E1 aEicher, John, D1 aMartinez-Perez, Angel1 aWard-Caviness, Cavin, K1 aBrody, Jennifer, A1 aChen, Ming-Huei1 ade Maat, Moniek, P M1 aFrånberg, Mattias1 aGill, Dipender1 aKleber, Marcus, E1 aRivadeneira, Fernando1 aSoria, José, Manuel1 aTang, Weihong1 aTofler, Geoffrey, H1 aUitterlinden, André, G1 aVlieg, Astrid, van Hylcka1 aSeshadri, Sudha1 aBoerwinkle, Eric1 aDavies, Neil, M1 aGiese, Anne-Katrin1 aIkram, Kamran1 aKittner, Steven, J1 aMcKnight, Barbara1 aPsaty, Bruce, M1 aReiner, Alex, P1 aSargurupremraj, Muralidharan1 aTaylor, Kent, D1 aFornage, Myriam1 aHamsten, Anders1 aMärz, Winfried1 aRosendaal, Frits, R1 aSouto, Juan, Carlos1 aDehghan, Abbas1 aJohnson, Andrew, D1 aMorrison, Alanna, C1 aO'Donnell, Christopher, J1 aSmith, Nicholas, L1 aINVENT Consortium1 aMEGASTROKE Consortium of the International Stroke Genetics Consortium uhttps://chs-nhlbi.org/node/798804639nas a2200829 4500008004100000022001400041245010700055210006900162260000900231300001300240490000700253520225600260100002802516700002202544700002202566700002502588700001902613700002402632700002302656700001702679700002202696700002002718700001802738700002202756700002502778700002502803700001702828700001902845700003002864700002402894700002102918700002602939700002202965700002102987700002103008700001803029700001603047700002303063700001303086700002503099700002803124700002103152700002303173700002203196700002203218700002003240700002303260700002103283700002403304700002303328700002603351700002003377700002003397700001303417700001903430700002203449700002003471700001903491700001903510700002103529700002403550700002203574700002003596700001803616700002303634700001903657700003003676700002303706700002003729700002403749856003603773 2019 eng d a1932-620300aMendelian randomization evaluation of causal effects of fibrinogen on incident coronary heart disease.0 aMendelian randomization evaluation of causal effects of fibrinog c2019 ae02162220 v143 aBACKGROUND: Fibrinogen is an essential hemostatic factor and cardiovascular disease risk factor. Early attempts at evaluating the causal effect of fibrinogen on coronary heart disease (CHD) and myocardial infraction (MI) using Mendelian randomization (MR) used single variant approaches, and did not take advantage of recent genome-wide association studies (GWAS) or multi-variant, pleiotropy robust MR methodologies.
METHODS AND FINDINGS: We evaluated evidence for a causal effect of fibrinogen on both CHD and MI using MR. We used both an allele score approach and pleiotropy robust MR models. The allele score was composed of 38 fibrinogen-associated variants from recent GWAS. Initial analyses using the allele score used a meta-analysis of 11 European-ancestry prospective cohorts, free of CHD and MI at baseline, to examine incidence CHD and MI. We also applied 2 sample MR methods with data from a prevalent CHD and MI GWAS. Results are given in terms of the hazard ratio (HR) or odds ratio (OR), depending on the study design, and associated 95% confidence interval (CI). In single variant analyses no causal effect of fibrinogen on CHD or MI was observed. In multi-variant analyses using incidence CHD cases and the allele score approach, the estimated causal effect (HR) of a 1 g/L higher fibrinogen concentration was 1.62 (CI = 1.12, 2.36) when using incident cases and the allele score approach. In 2 sample MR analyses that accounted for pleiotropy, the causal estimate (OR) was reduced to 1.18 (CI = 0.98, 1.42) and 1.09 (CI = 0.89, 1.33) in the 2 most precise (smallest CI) models, out of 4 models evaluated. In the 2 sample MR analyses for MI, there was only very weak evidence of a causal effect in only 1 out of 4 models.
CONCLUSIONS: A small causal effect of fibrinogen on CHD is observed using multi-variant MR approaches which account for pleiotropy, but not single variant MR approaches. Taken together, results indicate that even with large sample sizes and multi-variant approaches MR analyses still cannot exclude the null when estimating the causal effect of fibrinogen on CHD, but that any potential causal effect is likely to be much smaller than observed in epidemiological studies.
1 aWard-Caviness, Cavin, K1 ade Vries, Paul, S1 aWiggins, Kerri, L1 aHuffman, Jennifer, E1 aYanek, Lisa, R1 aBielak, Lawrence, F1 aGiulianini, Franco1 aGuo, Xiuqing1 aKleber, Marcus, E1 aKacprowski, Tim1 aGroß, Stefan1 aPetersman, Astrid1 aSmith, George, Davey1 aHartwig, Fernando, P1 aBowden, Jack1 aHemani, Gibran1 aMüller-Nuraysid, Martina1 aStrauch, Konstantin1 aKoenig, Wolfgang1 aWaldenberger, Melanie1 aMeitinger, Thomas1 aPankratz, Nathan1 aBoerwinkle, Eric1 aTang, Weihong1 aFu, Yi-Ping1 aJohnson, Andrew, D1 aSong, Ci1 ade Maat, Moniek, P M1 aUitterlinden, André, G1 aFranco, Oscar, H1 aBrody, Jennifer, A1 aMcKnight, Barbara1 aChen, Yii-Der Ida1 aPsaty, Bruce, M1 aMathias, Rasika, A1 aBecker, Diane, M1 aPeyser, Patricia, A1 aSmith, Jennifer, A1 aBielinski, Suzette, J1 aRidker, Paul, M1 aTaylor, Kent, D1 aYao, Jie1 aTracy, Russell1 aDelgado, Graciela1 aTrompet, Stella1 aSattar, Naveed1 aJukema, Wouter1 aBecker, Lewis, C1 aKardia, Sharon, L R1 aRotter, Jerome, I1 aMärz, Winfried1 aDörr, Marcus1 aChasman, Daniel, I1 aDehghan, Abbas1 aO'Donnell, Christopher, J1 aSmith, Nicholas, L1 aPeters, Annette1 aMorrison, Alanna, C uhttps://chs-nhlbi.org/node/805004618nas a2200805 4500008004100000022001400041245019400055210006900249260000900318300001300327490000700340520222500347653001002572653002802582653002802610653001102638653004002649653001702689653003402706653001102740653002602751653003602777653002402813100001602837700001602853700002202869700001902891700002202910700002102932700001902953700001802972700002302990700002603013700001703039700002003056700002103076700002103097700002103118700002303139700002203162700002103184700001703205700002203222700001903244700002003263700001903283700002203302700002603324700002103350700002103371700002003392700002603412700002203438700002203460700002003482700002803502700001703530700001903547700001303566700002303579700001803602700002403620700002303644700001603667700002003683700001903703700003003722700002403752856003603776 2020 eng d a1932-620300aGenetic loci associated with prevalent and incident myocardial infarction and coronary heart disease in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.0 aGenetic loci associated with prevalent and incident myocardial i c2020 ae02300350 v153 aBACKGROUND: Genome-wide association studies have identified multiple genomic loci associated with coronary artery disease, but most are common variants in non-coding regions that provide limited information on causal genes and etiology of the disease. To overcome the limited scope that common variants provide, we focused our investigation on low-frequency and rare sequence variations primarily residing in coding regions of the genome.
METHODS AND RESULTS: Using samples of individuals of European ancestry from ten cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, both cross-sectional and prospective analyses were conducted to examine associations between genetic variants and myocardial infarction (MI), coronary heart disease (CHD), and all-cause mortality following these events. For prevalent events, a total of 27,349 participants of European ancestry, including 1831 prevalent MI cases and 2518 prevalent CHD cases were used. For incident cases, a total of 55,736 participants of European ancestry were included (3,031 incident MI cases and 5,425 incident CHD cases). There were 1,860 all-cause deaths among the 3,751 MI and CHD cases from six cohorts that contributed to the analysis of all-cause mortality. Single variant and gene-based analyses were performed separately in each cohort and then meta-analyzed for each outcome. A low-frequency intronic variant (rs988583) in PLCL1 was significantly associated with prevalent MI (OR = 1.80, 95% confidence interval: 1.43, 2.27; P = 7.12 × 10-7). We conducted gene-based burden tests for genes with a cumulative minor allele count (cMAC) ≥ 5 and variants with minor allele frequency (MAF) < 5%. TMPRSS5 and LDLRAD1 were significantly associated with prevalent MI and CHD, respectively, and RC3H2 and ANGPTL4 were significantly associated with incident MI and CHD, respectively. No loci were significantly associated with all-cause mortality following a MI or CHD event.
CONCLUSION: This study identified one known locus (ANGPTL4) and four new loci (PLCL1, RC3H2, TMPRSS5, and LDLRAD1) associated with cardiovascular disease risk that warrant further investigation.
10aAging10aCoronary Artery Disease10aCross-Sectional Studies10aEurope10aEuropean Continental Ancestry Group10aGenetic Loci10aGenome-Wide Association Study10aHumans10aMyocardial Infarction10aPolymorphism, Single Nucleotide10aProspective Studies1 aHahn, Julie1 aFu, Yi-Ping1 aBrown, Michael, R1 aBis, Joshua, C1 ade Vries, Paul, S1 aFeitosa, Mary, F1 aYanek, Lisa, R1 aWeiss, Stefan1 aGiulianini, Franco1 aSmith, Albert, Vernon1 aGuo, Xiuqing1 aBartz, Traci, M1 aBecker, Diane, M1 aBecker, Lewis, C1 aBoerwinkle, Eric1 aBrody, Jennifer, A1 aChen, Yii-Der Ida1 aFranco, Oscar, H1 aGrove, Megan1 aHarris, Tamara, B1 aHofman, Albert1 aHwang, Shih-Jen1 aKral, Brian, G1 aLauner, Lenore, J1 aMarkus, Marcello, R P1 aRice, Kenneth, M1 aRich, Stephen, S1 aRidker, Paul, M1 aRivadeneira, Fernando1 aRotter, Jerome, I1 aSotoodehnia, Nona1 aTaylor, Kent, D1 aUitterlinden, André, G1 aVölker, Uwe1 aVölzke, Henry1 aYao, Jie1 aChasman, Daniel, I1 aDörr, Marcus1 aGudnason, Vilmundur1 aMathias, Rasika, A1 aPost, Wendy1 aPsaty, Bruce, M1 aDehghan, Abbas1 aO'Donnell, Christopher, J1 aMorrison, Alanna, C uhttps://chs-nhlbi.org/node/862503140nas a2200649 4500008004100000022001400041245009100055210006900146260001600215520129400231100003201525700002001557700001701577700001801594700001601612700002201628700002501650700002301675700001901698700002001717700002101737700002001758700002101778700002101799700001701820700002001837700001901857700001801876700001801894700001901912700002201931700002001953700002001973700002001993700002202013700001902035700002002054700002102074700001602095700002102111700002502132700002302157700001902180700002102199700001902220700002302239700002002262700002002282700002302302700001902325700001802344700001702362700002602379700003002405700001902435856003602454 2021 eng d a1573-728400aMeta-analysis of epigenome-wide association studies of carotid intima-media thickness.0 aMetaanalysis of epigenomewide association studies of carotid int c2021 Jun 063 aCommon carotid intima-media thickness (cIMT) is an index of subclinical atherosclerosis that is associated with ischemic stroke and coronary artery disease (CAD). We undertook a cross-sectional epigenome-wide association study (EWAS) of measures of cIMT in 6400 individuals. Mendelian randomization analysis was applied to investigate the potential causal role of DNA methylation in the link between atherosclerotic cardiovascular risk factors and cIMT or clinical cardiovascular disease. The CpG site cg05575921 was associated with cIMT (beta = -0.0264, p value = 3.5 × 10) in the discovery panel and was replicated in replication panel (beta = -0.07, p value = 0.005). This CpG is located at chr5:81649347 in the intron 3 of the aryl hydrocarbon receptor repressor gene (AHRR). Our results indicate that DNA methylation at cg05575921 might be in the pathway between smoking, cIMT and stroke. Moreover, in a region-based analysis, 34 differentially methylated regions (DMRs) were identified of which a DMR upstream of ALOX12 showed the strongest association with cIMT (p value = 1.4 × 10). In conclusion, our study suggests that DNA methylation may play a role in the link between cardiovascular risk factors, cIMT and clinical cardiovascular disease.
1 aPortilla-Fernández, Eliana1 aHwang, Shih-Jen1 aWilson, Rory1 aMaddock, Jane1 aHill, David1 aTeumer, Alexander1 aMishra, Pashupati, P1 aBrody, Jennifer, A1 aJoehanes, Roby1 aLigthart, Symen1 aGhanbari, Mohsen1 aKavousi, Maryam1 aRoks, Anton, J M1 aDanser, A, H Jan1 aLevy, Daniel1 aPeters, Annette1 aGhasemi, Sahar1 aSchminke, Ulf1 aDörr, Marcus1 aGrabe, Hans, J1 aLehtimäki, Terho1 aKähönen, Mika1 aHurme, Mikko, A1 aBartz, Traci, M1 aSotoodehnia, Nona1 aBis, Joshua, C1 aThiery, Joachim1 aKoenig, Wolfgang1 aOng, Ken, K1 aBell, Jordana, T1 aMeisinger, Christine1 aWardlaw, Joanna, M1 aStarr, John, M1 aSeissler, Jochen1 aThen, Cornelia1 aRathmann, Wolfgang1 aIkram, Arfan, M1 aPsaty, Bruce, M1 aRaitakari, Olli, T1 aVölzke, Henry1 aDeary, Ian, J1 aWong, Andrew1 aWaldenberger, Melanie1 aO'Donnell, Christopher, J1 aDehghan, Abbas uhttps://chs-nhlbi.org/node/878912282nas a2204021 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2022 eng d a2399-364200aDifferential and shared genetic effects on kidney function between diabetic and non-diabetic individuals.0 aDifferential and shared genetic effects on kidney function betwe c2022 Jun 13 a5800 v53 aReduced glomerular filtration rate (GFR) can progress to kidney failure. Risk factors include genetics and diabetes mellitus (DM), but little is known about their interaction. We conducted genome-wide association meta-analyses for estimated GFR based on serum creatinine (eGFR), separately for individuals with or without DM (n = 178,691, n = 1,296,113). Our genome-wide searches identified (i) seven eGFR loci with significant DM/noDM-difference, (ii) four additional novel loci with suggestive difference and (iii) 28 further novel loci (including CUBN) by allowing for potential difference. GWAS on eGFR among DM individuals identified 2 known and 27 potentially responsible loci for diabetic kidney disease. Gene prioritization highlighted 18 genes that may inform reno-protective drug development. We highlight the existence of DM-only and noDM-only effects, which can inform about the target group, if respective genes are advanced as drug targets. Largely shared effects suggest that most drug interventions to alter eGFR should be effective in DM and noDM.
10aCreatinine10aDiabetes Mellitus10aDiabetic Nephropathies10aGenome-Wide Association Study10aGlomerular Filtration Rate10aHumans10aKidney1 aWinkler, Thomas, W1 aRasheed, Humaira1 aTeumer, Alexander1 aGorski, Mathias1 aRowan, Bryce, X1 aStanzick, Kira, J1 aThomas, Laurent, F1 aTin, Adrienne1 aHoppmann, Anselm1 aChu, Audrey, Y1 aTayo, Bamidele1 aThio, Chris, H L1 aCusi, Daniele1 aChai, Jin-Fang1 aSieber, Karsten, B1 aHorn, Katrin1 aLi, Man1 aScholz, Markus1 aCocca, Massimiliano1 aWuttke, Matthias1 avan der Most, Peter, J1 aYang, Qiong1 aGhasemi, Sahar1 aNutile, Teresa1 aLi, Yong1 aPontali, Giulia1 aGünther, Felix1 aDehghan, Abbas1 aCorrea, Adolfo1 aParsa, Afshin1 aFeresin, Agnese1 ade Vries, Aiko, P J1 aZonderman, Alan, B1 aSmith, Albert, V1 aOldehinkel, Albertine, J1 aDe Grandi, Alessandro1 aRosenkranz, Alexander, R1 aFranke, Andre1 aTeren, Andrej1 aMetspalu, Andres1 aHicks, Andrew, A1 aMorris, Andrew, P1 aTönjes, Anke1 aMorgan, Anna1 aPodgornaia, Anna, I1 aPeters, Annette1 aKörner, Antje1 aMahajan, Anubha1 aCampbell, Archie1 aFreedman, Barry, I1 aSpedicati, Beatrice1 aPonte, Belen1 aSchöttker, Ben1 aBrumpton, Ben1 aBanas, Bernhard1 aKrämer, Bernhard, K1 aJung, Bettina1 aÅsvold, Bjørn, Olav1 aSmith, Blair, H1 aNing, Boting1 aPenninx, Brenda, W J H1 aVanderwerff, Brett, R1 aPsaty, Bruce, M1 aKammerer, Candace, M1 aLangefeld, Carl, D1 aHayward, Caroline1 aSpracklen, Cassandra, N1 aRobinson-Cohen, Cassianne1 aHartman, Catharina, A1 aLindgren, Cecilia, M1 aWang, Chaolong1 aSabanayagam, Charumathi1 aHeng, Chew-Kiat1 aLanzani, Chiara1 aKhor, Chiea-Chuen1 aCheng, Ching-Yu1 aFuchsberger, Christian1 aGieger, Christian1 aShaffer, Christian, M1 aSchulz, Christina-Alexandra1 aWiller, Cristen, J1 aChasman, Daniel, I1 aGudbjartsson, Daniel, F1 aRuggiero, Daniela1 aToniolo, Daniela1 aCzamara, Darina1 aPorteous, David, J1 aWaterworth, Dawn, M1 aMascalzoni, Deborah1 aMook-Kanamori, Dennis, O1 aReilly, Dermot, F1 aDaw, Warwick1 aHofer, Edith1 aBoerwinkle, Eric1 aSalvi, Erika1 aBottinger, Erwin, P1 aTai, E-Shyong1 aCatamo, Eulalia1 aRizzi, Federica1 aGuo, Feng1 aRivadeneira, Fernando1 aGuilianini, Franco1 aSveinbjornsson, Gardar1 aEhret, Georg1 aWaeber, Gérard1 aBiino, Ginevra1 aGirotto, Giorgia1 aPistis, Giorgio1 aNadkarni, Girish, N1 aDelgado, Graciela, E1 aMontgomery, Grant, W1 aSnieder, Harold1 aCampbell, Harry1 aWhite, Harvey, D1 aGao, He1 aStringham, Heather, M1 aSchmidt, Helena1 aLi, Hengtong1 aBrenner, Hermann1 aHolm, Hilma1 aKirsten, Holgen1 aKramer, Holly1 aRudan, Igor1 aNolte, Ilja, M1 aTzoulaki, Ioanna1 aOlafsson, Isleifur1 aMartins, Jade1 aCook, James, P1 aWilson, James, F1 aHalbritter, Jan1 aFelix, Janine, F1 aDivers, Jasmin1 aKooner, Jaspal, S1 aLee, Jeannette, Jen-Mai1 aO'Connell, Jeffrey1 aRotter, Jerome, I1 aLiu, Jianjun1 aXu, Jie1 aThiery, Joachim1 aArnlöv, Johan1 aKuusisto, Johanna1 aJakobsdottir, Johanna1 aTremblay, Johanne1 aChambers, John, C1 aWhitfield, John, B1 aGaziano, John, M1 aMarten, Jonathan1 aCoresh, Josef1 aJonas, Jost, B1 aMychaleckyj, Josyf, C1 aChristensen, Kaare1 aEckardt, Kai-Uwe1 aMohlke, Karen, L1 aEndlich, Karlhans1 aDittrich, Katalin1 aRyan, Kathleen, A1 aRice, Kenneth, M1 aTaylor, Kent, D1 aHo, Kevin1 aNikus, Kjell1 aMatsuda, Koichi1 aStrauch, Konstantin1 aMiliku, Kozeta1 aHveem, Kristian1 aLind, Lars1 aWallentin, Lars1 aYerges-Armstrong, Laura, M1 aRaffield, Laura, M1 aPhillips, Lawrence, S1 aLauner, Lenore, J1 aLyytikäinen, Leo-Pekka1 aLange, Leslie, A1 aCitterio, Lorena1 aKlaric, Lucija1 aIkram, Arfan, M1 aIsing, Marcus1 aKleber, Marcus, E1 aFrancescatto, Margherita1 aConcas, Maria, Pina1 aCiullo, Marina1 aPiratsu, Mario1 aOrho-Melander, Marju1 aLaakso, Markku1 aLoeffler, Markus1 aPerola, Markus1 ade Borst, Martin, H1 aGögele, Martin1 aLa Bianca, Martina1 aLukas, Mary, Ann1 aFeitosa, Mary, F1 aBiggs, Mary, L1 aWojczynski, Mary, K1 aKavousi, Maryam1 aKanai, Masahiro1 aAkiyama, Masato1 aYasuda, Masayuki1 aNauck, Matthias1 aWaldenberger, Melanie1 aChee, Miao-Li1 aChee, Miao-Ling1 aBoehnke, Michael1 aPreuss, Michael, H1 aStumvoll, Michael1 aProvince, Michael, A1 aEvans, Michele, K1 aO'Donoghue, Michelle, L1 aKubo, Michiaki1 aKähönen, Mika1 aKastarinen, Mika1 aNalls, Mike, A1 aKuokkanen, Mikko1 aGhanbari, Mohsen1 aBochud, Murielle1 aJosyula, Navya, Shilpa1 aMartin, Nicholas, G1 aTan, Nicholas, Y Q1 aPalmer, Nicholette, D1 aPirastu, Nicola1 aSchupf, Nicole1 aVerweij, Niek1 aHutri-Kähönen, Nina1 aMononen, Nina1 aBansal, Nisha1 aDevuyst, Olivier1 aMelander, Olle1 aRaitakari, Olli, T1 aPolasek, Ozren1 aManunta, Paolo1 aGasparini, Paolo1 aMishra, Pashupati, P1 aSulem, Patrick1 aMagnusson, Patrik, K E1 aElliott, Paul1 aRidker, Paul, M1 aHamet, Pavel1 aSvensson, Per, O1 aJoshi, Peter, K1 aKovacs, Peter1 aPramstaller, Peter, P1 aRossing, Peter1 aVollenweider, Peter1 aHarst, Pim1 aDorajoo, Rajkumar1 aSim, Ralene, Z H1 aBurkhardt, Ralph1 aTao, Ran1 aNoordam, Raymond1 aMägi, Reedik1 aSchmidt, Reinhold1 ade Mutsert, Renée1 aRueedi, Rico1 avan Dam, Rob, M1 aCarroll, Robert, J1 aGansevoort, Ron, T1 aLoos, Ruth, J F1 aFelicita, Sala, Cinzia1 aSedaghat, Sanaz1 aPadmanabhan, Sandosh1 aFreitag-Wolf, Sandra1 aPendergrass, Sarah, A1 aGraham, Sarah, E1 aGordon, Scott, D1 aHwang, Shih-Jen1 aKerr, Shona, M1 aVaccargiu, Simona1 aPatil, Snehal, B1 aHallan, Stein1 aBakker, Stephan, J L1 aLim, Su-Chi1 aLucae, Susanne1 aVogelezang, Suzanne1 aBergmann, Sven1 aCorre, Tanguy1 aAhluwalia, Tarunveer, S1 aLehtimäki, Terho1 aBoutin, Thibaud, S1 aMeitinger, Thomas1 aWong, Tien-Yin1 aBergler, Tobias1 aRabelink, Ton, J1 aEsko, Tõnu1 aHaller, Toomas1 aThorsteinsdottir, Unnur1 aVölker, Uwe1 aFoo, Valencia, Hui Xian1 aSalomaa, Veikko1 aVitart, Veronique1 aGiedraitis, Vilmantas1 aGudnason, Vilmundur1 aJaddoe, Vincent, W V1 aHuang, Wei1 aZhang, Weihua1 aBin Wei, Wen1 aKiess, Wieland1 aMärz, Winfried1 aKoenig, Wolfgang1 aLieb, Wolfgang1 aGào, Xīn1 aSim, Xueling1 aWang, Ya, Xing1 aFriedlander, Yechiel1 aTham, Yih-Chung1 aKamatani, Yoichiro1 aOkada, Yukinori1 aMilaneschi, Yuri1 aYu, Zhi1 aStark, Klaus, J1 aStefansson, Kari1 aBöger, Carsten, A1 aHung, Adriana, M1 aKronenberg, Florian1 aKöttgen, Anna1 aPattaro, Cristian1 aHeid, Iris, M1 aLifeLines Cohort Study1 aDiscovEHR/MyCode study1 aVA Million Veteran Program uhttps://chs-nhlbi.org/node/911213363nas a2204429 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2022 eng d a1546-171800aMulti-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation.0 aMultiancestry genetic study of type 2 diabetes highlights the po c2022 May a560-5720 v543 aWe assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P < 5 × 10), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4% of T2D associations to a single variant with >50% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying the foundations for functional investigations. Multi-ancestry genetic risk scores enhanced transferability of T2D prediction across diverse populations. Our study provides a step toward more effective clinical translation of T2D GWAS to improve global health for all, irrespective of genetic background.
10aDiabetes Mellitus, Type 210aEthnicity10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aHumans10aPolymorphism, Single Nucleotide10aRisk Factors1 aMahajan, Anubha1 aSpracklen, Cassandra, N1 aZhang, Weihua1 aC Y Ng, Maggie1 aPetty, Lauren, E1 aKitajima, Hidetoshi1 aYu, Grace, Z1 aRüeger, Sina1 aSpeidel, Leo1 aKim, Young, Jin1 aHorikoshi, Momoko1 aMercader, Josep, M1 aTaliun, Daniel1 aMoon, Sanghoon1 aKwak, Soo-Heon1 aRobertson, Neil, R1 aRayner, Nigel, W1 aLoh, Marie1 aKim, Bong-Jo1 aChiou, Joshua1 aMiguel-Escalada, Irene1 aParolo, Pietro, Della Brio1 aLin, Kuang1 aBragg, Fiona1 aPreuss, Michael, H1 aTakeuchi, Fumihiko1 aNano, Jana1 aGuo, Xiuqing1 aLamri, Amel1 aNakatochi, Masahiro1 aScott, Robert, A1 aLee, Jung-Jin1 aHuerta-Chagoya, Alicia1 aGraff, Mariaelisa1 aChai, Jin-Fang1 aParra, Esteban, J1 aYao, Jie1 aBielak, Lawrence, F1 aTabara, Yasuharu1 aHai, Yang1 aSteinthorsdottir, Valgerdur1 aCook, James, P1 aKals, Mart1 aGrarup, Niels1 aSchmidt, Ellen, M1 aPan, Ian1 aSofer, Tamar1 aWuttke, Matthias1 aSarnowski, Chloe1 aGieger, Christian1 aNousome, Darryl1 aTrompet, Stella1 aLong, Jirong1 aSun, Meng1 aTong, Lin1 aChen, Wei-Min1 aAhmad, Meraj1 aNoordam, Raymond1 aJ Y Lim, Victor1 aTam, Claudia, H T1 aJoo, Yoonjung, Yoonie1 aChen, Chien-Hsiun1 aRaffield, Laura, M1 aLecoeur, Cécile1 aPrins, Bram, Peter1 aNicolas, Aude1 aYanek, Lisa, R1 aChen, Guanjie1 aJensen, Richard, A1 aTajuddin, Salman1 aKabagambe, Edmond, K1 aAn, Ping1 aXiang, Anny, H1 aChoi, Hyeok, Sun1 aCade, Brian, E1 aTan, Jingyi1 aFlanagan, Jack1 aAbaitua, Fernando1 aAdair, Linda, S1 aAdeyemo, Adebowale1 aAguilar-Salinas, Carlos, A1 aAkiyama, Masato1 aAnand, Sonia, S1 aBertoni, Alain1 aBian, Zheng1 aBork-Jensen, Jette1 aBrandslund, Ivan1 aBrody, Jennifer, A1 aBrummett, Chad, M1 aBuchanan, Thomas, A1 aCanouil, Mickaël1 aChan, Juliana, C N1 aChang, Li-Ching1 aChee, Miao-Li1 aChen, Ji1 aChen, Shyh-Huei1 aChen, Yuan-Tsong1 aChen, Zhengming1 aChuang, Lee-Ming1 aCushman, Mary1 aDas, Swapan, K1 ade Silva, Janaka1 aDedoussis, George1 aDimitrov, Latchezar1 aDoumatey, Ayo, P1 aDu, Shufa1 aDuan, Qing1 aEckardt, Kai-Uwe1 aEmery, Leslie, S1 aEvans, Daniel, S1 aEvans, Michele, K1 aFischer, Krista1 aFloyd, James, S1 aFord, Ian1 aFornage, Myriam1 aFranco, Oscar, H1 aFrayling, Timothy, M1 aFreedman, Barry, I1 aFuchsberger, Christian1 aGenter, Pauline1 aGerstein, Hertzel, C1 aGiedraitis, Vilmantas1 aGonzález-Villalpando, Clicerio1 aGonzalez-Villalpando, Maria, Elena1 aGoodarzi, Mark, O1 aGordon-Larsen, Penny1 aGorkin, David1 aGross, Myron1 aGuo, Yu1 aHackinger, Sophie1 aHan, Sohee1 aHattersley, Andrew, T1 aHerder, Christian1 aHoward, Annie-Green1 aHsueh, Willa1 aHuang, Mengna1 aHuang, Wei1 aHung, Yi-Jen1 aHwang, Mi, Yeong1 aHwu, Chii-Min1 aIchihara, Sahoko1 aIkram, Mohammad, Arfan1 aIngelsson, Martin1 aIslam, Md, Tariqul1 aIsono, Masato1 aJang, Hye-Mi1 aJasmine, Farzana1 aJiang, Guozhi1 aJonas, Jost, B1 aJørgensen, Marit, E1 aJørgensen, Torben1 aKamatani, Yoichiro1 aKandeel, Fouad, R1 aKasturiratne, Anuradhani1 aKatsuya, Tomohiro1 aKaur, Varinderpal1 aKawaguchi, Takahisa1 aKeaton, Jacob, M1 aKho, Abel, N1 aKhor, Chiea-Chuen1 aKibriya, Muhammad, G1 aKim, Duk-Hwan1 aKohara, Katsuhiko1 aKriebel, Jennifer1 aKronenberg, Florian1 aKuusisto, Johanna1 aLäll, Kristi1 aLange, Leslie, A1 aLee, Myung-Shik1 aLee, Nanette, R1 aLeong, Aaron1 aLi, Liming1 aLi, Yun1 aLi-Gao, Ruifang1 aLigthart, Symen1 aLindgren, Cecilia, M1 aLinneberg, Allan1 aLiu, Ching-Ti1 aLiu, Jianjun1 aLocke, Adam, E1 aLouie, Tin1 aLuan, Jian'an1 aLuk, Andrea, O1 aLuo, Xi1 aLv, Jun1 aLyssenko, Valeriya1 aMamakou, Vasiliki1 aMani, Radha, K1 aMeitinger, Thomas1 aMetspalu, Andres1 aMorris, Andrew, D1 aNadkarni, Girish, N1 aNadler, Jerry, L1 aNalls, Michael, A1 aNayak, Uma1 aNongmaithem, Suraj, S1 aNtalla, Ioanna1 aOkada, Yukinori1 aOrozco, Lorena1 aPatel, Sanjay, R1 aPereira, Mark, A1 aPeters, Annette1 aPirie, Fraser, J1 aPorneala, Bianca1 aPrasad, Gauri1 aPreissl, Sebastian1 aRasmussen-Torvik, Laura, J1 aReiner, Alexander, P1 aRoden, Michael1 aRohde, Rebecca1 aRoll, Kathryn1 aSabanayagam, Charumathi1 aSander, Maike1 aSandow, Kevin1 aSattar, Naveed1 aSchönherr, Sebastian1 aSchurmann, Claudia1 aShahriar, Mohammad1 aShi, Jinxiu1 aShin, Dong, Mun1 aShriner, Daniel1 aSmith, Jennifer, A1 aSo, Wing, Yee1 aStančáková, Alena1 aStilp, Adrienne, M1 aStrauch, Konstantin1 aSuzuki, Ken1 aTakahashi, Atsushi1 aTaylor, Kent, D1 aThorand, Barbara1 aThorleifsson, Gudmar1 aThorsteinsdottir, Unnur1 aTomlinson, Brian1 aTorres, Jason, M1 aTsai, Fuu-Jen1 aTuomilehto, Jaakko1 aTusié-Luna, Teresa1 aUdler, Miriam, S1 aValladares-Salgado, Adan1 avan Dam, Rob, M1 avan Klinken, Jan, B1 aVarma, Rohit1 aVujkovic, Marijana1 aWacher-Rodarte, Niels1 aWheeler, Eleanor1 aWhitsel, Eric, A1 aWickremasinghe, Ananda, R1 aDijk, Ko Willems1 aWitte, Daniel, R1 aYajnik, Chittaranjan, S1 aYamamoto, Ken1 aYamauchi, Toshimasa1 aYengo, Loic1 aYoon, Kyungheon1 aYu, Canqing1 aYuan, Jian-Min1 aYusuf, Salim1 aZhang, Liang1 aZheng, Wei1 aRaffel, Leslie, J1 aIgase, Michiya1 aIpp, Eli1 aRedline, Susan1 aCho, Yoon Shin1 aLind, Lars1 aProvince, Michael, A1 aHanis, Craig, L1 aPeyser, Patricia, A1 aIngelsson, Erik1 aZonderman, Alan, B1 aPsaty, Bruce, M1 aWang, Ya-Xing1 aRotimi, Charles, N1 aBecker, Diane, M1 aMatsuda, Fumihiko1 aLiu, Yongmei1 aZeggini, Eleftheria1 aYokota, Mitsuhiro1 aRich, Stephen, S1 aKooperberg, Charles1 aPankow, James, S1 aEngert, James, C1 aChen, Yii-Der Ida1 aFroguel, Philippe1 aWilson, James, G1 aSheu, Wayne, H H1 aKardia, Sharon, L R1 aWu, Jer-Yuarn1 aHayes, Geoffrey1 aMa, Ronald, C W1 aWong, Tien-Yin1 aGroop, Leif1 aMook-Kanamori, Dennis, O1 aChandak, Giriraj, R1 aCollins, Francis, S1 aBharadwaj, Dwaipayan1 aParé, Guillaume1 aSale, Michèle, M1 aAhsan, Habibul1 aMotala, Ayesha, A1 aShu, Xiao-Ou1 aPark, Kyong-Soo1 aJukema, Wouter1 aCruz, Miguel1 aMcKean-Cowdin, Roberta1 aGrallert, Harald1 aCheng, Ching-Yu1 aBottinger, Erwin, P1 aDehghan, Abbas1 aTai, E-Shyong1 aDupuis, Josée1 aKato, Norihiro1 aLaakso, Markku1 aKöttgen, Anna1 aKoh, Woon-Puay1 aPalmer, Colin, N A1 aLiu, Simin1 aAbecasis, Goncalo1 aKooner, Jaspal, S1 aLoos, Ruth, J F1 aNorth, Kari, E1 aHaiman, Christopher, A1 aFlorez, Jose, C1 aSaleheen, Danish1 aHansen, Torben1 aPedersen, Oluf1 aMägi, Reedik1 aLangenberg, Claudia1 aWareham, Nicholas, J1 aMaeda, Shiro1 aKadowaki, Takashi1 aLee, Juyoung1 aMillwood, Iona, Y1 aWalters, Robin, G1 aStefansson, Kari1 aMyers, Simon, R1 aFerrer, Jorge1 aGaulton, Kyle, J1 aMeigs, James, B1 aMohlke, Karen, L1 aGloyn, Anna, L1 aBowden, Donald, W1 aBelow, Jennifer, E1 aChambers, John, C1 aSim, Xueling1 aBoehnke, Michael1 aRotter, Jerome, I1 aMcCarthy, Mark, I1 aMorris, Andrew, P1 aFinnGen1 aeMERGE Consortium uhttps://chs-nhlbi.org/node/910403215nas a2200481 4500008004100000022001400041245015300055210006900208260001600277520174000293100002102033700001402054700002302068700002002091700001902111700002502130700002602155700001802181700002102199700001802220700002202238700002102260700002102281700002202302700002402324700001902348700002102367700002302388700001902411700002202430700002302452700001702475700002002492700001802512700002802530700002302558700001902581700003002600700002002630700002402650700002302674856003602697 2022 eng d a1460-208300aWhole exome sequencing of 14 389 individuals from the ESP and CHARGE consortia identifies novel rare variation associated with hemostatic factors.0 aWhole exome sequencing of 14 389 individuals from the ESP and CH c2022 May 123 aPlasma levels of fibrinogen, coagulation factors VII and VIII, and von Willebrand factor (vWF) are four intermediate phenotypes that are heritable and have been associated with the risk of clinical thrombotic events. To identify rare and low-frequency variants associated with these hemostatic factors, we conducted whole exome sequencing in 10 860 individuals of European ancestry (EA) and 3529 African Americans (AAs) from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium and the National Heart, Lung, and Blood Institute's Exome Sequencing Project (ESP). Gene-based tests demonstrated significant associations with rare variation (minor allele frequency < 5%) in FGG (with fibrinogen, p = 9.1x10-13), F7 (with factor VII, p = 1.3x10-72; seven novel variants), and VWF (with factor VIII and vWF; p = 3.2x10-14; one novel variant). These eight novel rare variant associations were independent of the known common variants at these loci and tended to have much larger effect sizes. In addition, one of the rare novel variants in F7 was significantly associated with an increased risk of venous thromboembolism in AAs (Ile200Ser; rs141219108; p = 4.2x10-5). After restricting gene-based analyses to only loss-of-function variants, a novel significant association was detected and replicated between factor VIII levels and a stop-gain mutation exclusive to African Americans (rs3211938) in CD36. This variant has previously been linked to dyslipidemia but not with levels of a hemostatic factor. These efforts represent the largest integration of whole exome sequence data from two national projects to identify genetic variation associated with plasma hemostatic factors.
1 aPankratz, Nathan1 aWei, Peng1 aBrody, Jennifer, A1 aChen, Ming-Huei1 aVries, Paul, S1 aHuffman, Jennifer, E1 aStimson, Mary, Rachel1 aAuer, Paul, L1 aBoerwinkle, Eric1 aCushman, Mary1 aMaat, Moniek, P M1 aFolsom, Aaron, R1 aFranco, Oscar, H1 aGibbs, Richard, A1 aHaagenson, Kelly, K1 aHofman, Albert1 aJohnsen, Jill, M1 aKovar, Christie, L1 aKraaij, Robert1 aMcKnight, Barbara1 aMetcalf, Ginger, A1 aMuzny, Donna1 aPsaty, Bruce, M1 aTang, Weihong1 aUitterlinden, André, G1 aRooij, Jeroen, G J1 aDehghan, Abbas1 aO'Donnell, Christopher, J1 aReiner, Alex, P1 aMorrison, Alanna, C1 aSmith, Nicholas, L uhttps://chs-nhlbi.org/node/910707212nas a2201753 4500008004100000245012700041210006900168260001600237520220800253100002502461700001902486700001602505700001902521700002302540700001902563700002302582700002102605700001802626700002002644700002402664700002302688700002902711700002302740700002002763700002102783700002102804700002102825700002402846700002202870700001902892700001502911700002102926700002002947700001802967700001902985700002103004700002503025700002603050700002103076700001903097700001903116700002803135700002203163700002203185700001903207700002003226700001803246700001703264700001503281700002003296700002803316700001703344700001703361700002703378700002503405700002003430700002003450700002003470700002403490700001203514700001603526700002003542700002803562700001603590700002103606700001903627700002103646700002703667700002103694700002403715700001603739700002203755700002403777700002503801700001703826700001403843700002103857700002003878700002203898700001903920700002003939700001503959700002003974700002203994700002404016700002004040700001804060700002004078700002704098700001804125700001704143700002104160700001604181700001804197700002404215700002004239700002004259700002604279700001904305700002004324700002304344700002304367700002504390700002004415700003004435700001804465700002304483700001804506700002104524700001904545700002004564700001804584700001904602700002304621700002204644700002004666700001904686700002204705700002004727700001904747700002304766700002104789700002004810700002304830700002504853700002904878700002904907700001904936700002604955700001904981700002205000700002005022700002405042700002005066700001705086700001805103700002105121700001305142700003205155700002305187700002205210700002205232700002505254700002405279700002305303710003105326710006505357856003605422 2023 eng d00aWhole genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles.0 aWhole genome analysis of plasma fibrinogen reveals populationdif c2023 Jun 123 aUNLABELLED: Genetic studies have identified numerous regions associated with plasma fibrinogen levels in Europeans, yet missing heritability and limited inclusion of non-Europeans necessitates further studies with improved power and sensitivity. Compared with array-based genotyping, whole genome sequencing (WGS) data provides better coverage of the genome and better representation of non-European variants. To better understand the genetic landscape regulating plasma fibrinogen levels, we meta-analyzed WGS data from the NHLBI's Trans-Omics for Precision Medicine (TOPMed) program (n=32,572), with array-based genotype data from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium (n=131,340) imputed to the TOPMed or Haplotype Reference Consortium panel. We identified 18 loci that have not been identified in prior genetic studies of fibrinogen. Of these, four are driven by common variants of small effect with reported MAF at least 10% higher in African populations. Three ( , and signals contain predicted deleterious missense variants. Two loci, and , each harbor two conditionally distinct, non-coding variants. The gene region encoding the protein chain subunits ( ), contains 7 distinct signals, including one novel signal driven by rs28577061, a variant common (MAF=0.180) in African reference panels but extremely rare (MAF=0.008) in Europeans. Through phenome-wide association studies in the VA Million Veteran Program, we found associations between fibrinogen polygenic risk scores and thrombotic and inflammatory disease phenotypes, including an association with gout. Our findings demonstrate the utility of WGS to augment genetic discovery in diverse populations and offer new insights for putative mechanisms of fibrinogen regulation.
KEY POINTS: Largest and most diverse genetic study of plasma fibrinogen identifies 54 regions (18 novel), housing 69 conditionally distinct variants (20 novel).Sufficient power achieved to identify signal driven by African population variant.Links to (1) liver enzyme, blood cell and lipid genetic signals, (2) liver regulatory elements, and (3) thrombotic and inflammatory disease.
1 aHuffman, Jennifer, E1 aNicolas, Jayna1 aHahn, Julie1 aHeath, Adam, S1 aRaffield, Laura, M1 aYanek, Lisa, R1 aBrody, Jennifer, A1 aThibord, Florian1 aAlmasy, Laura1 aBartz, Traci, M1 aBielak, Lawrence, F1 aBowler, Russell, P1 aCarrasquilla, Germán, D1 aChasman, Daniel, I1 aChen, Ming-Huei1 aEmmert, David, B1 aGhanbari, Mohsen1 aHaessle, Jeffery1 aHottenga, Jouke-Jan1 aKleber, Marcus, E1 aLe, Ngoc-Quynh1 aLee, Jiwon1 aLewis, Joshua, P1 aLi-Gao, Ruifang1 aLuan, Jian'an1 aMalmberg, Anni1 aMangino, Massimo1 aMarioni, Riccardo, E1 aMartinez-Perez, Angel1 aPankratz, Nathan1 aPolasek, Ozren1 aRichmond, Anne1 aRodriguez, Benjamin, At1 aRotter, Jerome, I1 aSteri, Maristella1 aSuchon, Pierre1 aTrompet, Stella1 aWeiss, Stefan1 aZare, Marjan1 aAuer, Paul1 aCho, Michael, H1 aChristofidou, Paraskevi1 aDavies, Gail1 ade Geus, Eco1 aDeleuze, Jean-Francois1 aDelgado, Graciela, E1 aEkunwe, Lynette1 aFaraday, Nauder1 aGögele, Martin1 aGreinacher, Andreas1 aHe, Gao1 aHoward, Tom1 aJoshi, Peter, K1 aKilpeläinen, Tuomas, O1 aLahti, Jari1 aLinneberg, Allan1 aNaitza, Silvia1 aNoordam, Raymond1 aPaüls-Vergés, Ferran1 aRich, Stephen, S1 aRosendaal, Frits, R1 aRudan, Igor1 aRyan, Kathleen, A1 aSouto, Juan, Carlos1 avan Rooij, Frank, Ja1 aWang, Heming1 aZhao, Wei1 aBecker, Lewis, C1 aBeswick, Andrew1 aBrown, Michael, R1 aCade, Brian, E1 aCampbell, Harry1 aCho, Kelly1 aCrapo, James, D1 aCurran, Joanne, E1 ade Maat, Moniek, Pm1 aDoyle, Margaret1 aElliott, Paul1 aFloyd, James, S1 aFuchsberger, Christian1 aGrarup, Niels1 aGuo, Xiuqing1 aHarris, Sarah, E1 aHou, Lifang1 aKolcic, Ivana1 aKooperberg, Charles1 aMenni, Cristina1 aNauck, Matthias1 aO'Connell, Jeffrey, R1 aOrrù, Valeria1 aPsaty, Bruce, M1 aRäikkönen, Katri1 aSmith, Jennifer, A1 aSoria, José, Manuel1 aStott, David, J1 aVlieg, Astrid, van Hylcka1 aWatkins, Hugh1 aWillemsen, Gonneke1 aWilson, Peter1 aBen-Shlomo, Yoav1 aBlangero, John1 aBoomsma, Dorret1 aCox, Simon, R1 aDehghan, Abbas1 aEriksson, Johan, G1 aFiorillo, Edoardo1 aFornage, Myriam1 aHansen, Torben1 aHayward, Caroline1 aIkram, Arfan, M1 aJukema, Wouter1 aKardia, Sharon, Lr1 aLange, Leslie, A1 aMärz, Winfried1 aMathias, Rasika, A1 aMitchell, Braxton, D1 aMook-Kanamori, Dennis, O1 aMorange, Pierre-Emmanuel1 aPedersen, Oluf1 aPramstaller, Peter, P1 aRedline, Susan1 aReiner, Alexander1 aRidker, Paul, M1 aSilverman, Edwin, K1 aSpector, Tim, D1 aVölker, Uwe1 aWareham, Nick1 aWilson, James, F1 aYao, Jie1 aTrégouët, David-Alexandre1 aJohnson, Andrew, D1 aWolberg, Alisa, S1 ade Vries, Paul, S1 aSabater-Lleal, Maria1 aMorrison, Alanna, C1 aSmith, Nicholas, L1 aVA Million Veteran Program1 aNHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium uhttps://chs-nhlbi.org/node/9449