04638nas 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 a
BACKGROUND: 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/117605936nas 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/666704476nas 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/678805818nas 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/693604941nas 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/734305032nas 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/792403820nas 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/8050