04937nas a2201345 4500008004100000022001400041245012400055210006900179260001300248300001200261490000700273520113500280100001601415700001901431700002301450700002301473700002301496700001901519700001801538700002401556700001801580700001801598700001701616700001901633700002001652700002201672700002301694700001901717700001901736700001801755700001901773700001601792700001401808700002601822700001501848700002601863700001601889700001301905700001301918700001901931700002201950700002001972700002101992700002002013700001402033700001902047700001802066700002402084700002202108700001902130700002402149700002002173700001202193700002702205700002202232700002002254700002402274700002802298700002402326700002102350700002402371700002102395700002202416700002802438700002102466700002702487700003002514700002002544700001502564700002402579700002002603700001702623700002302640700001902663700001902682700002202701700002202723700001802745700002202763700001902785700001902804700001402823700001802837700001402855700002102869700002302890700002802913700001702941700001902958700001902977700001702996700002003013700002103033700002403054700002503078700002303103700002303126700002103149700002603170700002203196700002003218700002003238700002003258700002003278700002903298700001703327700002303344710002603367710002303393710002603416710002503442710006603467710002203533856003603555 2016 eng d a1546-171800aMeta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci.0 aMetaanalysis identifies common and rare variants influencing blo c2016 Oct a1162-700 v483 a
Meta-analyses of association results for blood pressure using exome-centric single-variant and gene-based tests identified 31 new loci in a discovery stage among 146,562 individuals, with follow-up and meta-analysis in 180,726 additional individuals (total n = 327,288). These blood pressure-associated loci are enriched for known variants for cardiometabolic traits. Associations were also observed for the aggregation of rare and low-frequency missense variants in three genes, NPR1, DBH, and PTPMT1. In addition, blood pressure associations at 39 previously reported loci were confirmed. The identified variants implicate biological pathways related to cardiometabolic traits, vascular function, and development. Several new variants are inferred to have roles in transcription or as hubs in protein-protein interaction networks. Genetic risk scores constructed from the identified variants were strongly associated with coronary disease and myocardial infarction. This large collection of blood pressure-associated loci suggests new therapeutic strategies for hypertension, emphasizing a link with cardiometabolic risk.
1 aLiu, Chunyu1 aKraja, Aldi, T1 aSmith, Jennifer, A1 aBrody, Jennifer, A1 aFranceschini, Nora1 aBis, Joshua, C1 aRice, Kenneth1 aMorrison, Alanna, C1 aLu, Yingchang1 aWeiss, Stefan1 aGuo, Xiuqing1 aPalmas, Walter1 aMartin, Lisa, W1 aChen, Yii-Der Ida1 aSurendran, Praveen1 aDrenos, Fotios1 aCook, James, P1 aAuer, Paul, L1 aChu, Audrey, Y1 aGiri, Ayush1 aZhao, Wei1 aJakobsdottir, Johanna1 aLin, Li-An1 aStafford, Jeanette, M1 aAmin, Najaf1 aMei, Hao1 aYao, Jie1 aVoorman, Arend1 aLarson, Martin, G1 aGrove, Megan, L1 aSmith, Albert, V1 aHwang, Shih-Jen1 aChen, Han1 aHuan, Tianxiao1 aKosova, Gulum1 aStitziel, Nathan, O1 aKathiresan, Sekar1 aSamani, Nilesh1 aSchunkert, Heribert1 aDeloukas, Panos1 aLi, Man1 aFuchsberger, Christian1 aPattaro, Cristian1 aGorski, Mathias1 aKooperberg, Charles1 aPapanicolaou, George, J1 aRossouw, Jacques, E1 aFaul, Jessica, D1 aKardia, Sharon, L R1 aBouchard, Claude1 aRaffel, Leslie, J1 aUitterlinden, André, G1 aFranco, Oscar, H1 aVasan, Ramachandran, S1 aO'Donnell, Christopher, J1 aTaylor, Kent, D1 aLiu, Kiang1 aBottinger, Erwin, P1 aGottesman, Omri1 aDaw, Warwick1 aGiulianini, Franco1 aGanesh, Santhi1 aSalfati, Elias1 aHarris, Tamara, B1 aLauner, Lenore, J1 aDörr, Marcus1 aFelix, Stephan, B1 aRettig, Rainer1 aVölzke, Henry1 aKim, Eric1 aLee, Wen-Jane1 aLee, I-Te1 aSheu, Wayne, H-H1 aTsosie, Krystal, S1 aEdwards, Digna, R Velez1 aLiu, Yongmei1 aCorrea, Adolfo1 aWeir, David, R1 aVölker, Uwe1 aRidker, Paul, M1 aBoerwinkle, Eric1 aGudnason, Vilmundur1 aReiner, Alexander, P1 aDuijn, Cornelia, M1 aBorecki, Ingrid, B1 aEdwards, Todd, L1 aChakravarti, Aravinda1 aRotter, Jerome, I1 aPsaty, Bruce, M1 aLoos, Ruth, J F1 aFornage, Myriam1 aEhret, Georg, B1 aNewton-Cheh, Christopher1 aLevy, Daniel1 aChasman, Daniel, I1 aCHD Exome+ Consortium1 aExomeBP Consortium1 aGoT2DGenes Consortium1 aT2D-GENES Consortium1 aMyocardial Infarction Genetics and CARDIoGRAM Exome Consortia1 aCKDGen Consortium uhttps://chs-nhlbi.org/node/726406088nas a2201561 4500008004100000022001400041245007200055210006900127260001600196520173100212100002801943700002101971700002401992700001802016700002002034700002202054700002502076700001602101700001802117700001802135700001802153700002002171700002002191700001502211700002302226700003002249700001902279700001302298700002102311700002802332700002002360700002402380700002002404700001902424700001802443700002102461700002102482700002102503700001702524700002202541700001902563700001902582700002002601700002502621700002302646700002202669700002402691700002102715700002402736700002202760700002202782700001702804700002302821700001902844700002202863700002302885700001902908700002002927700002002947700002402967700001802991700002203009700001203031700001303043700002103056700001503077700002503092700002103117700002203138700002103160700002203181700002703203700001703230700002503247700002003272700002303292700001803315700002003333700001503353700002303368700002603391700002203417700001603439700001903455700001703474700002203491700002403513700002403537700002203561700002603583700002003609700002103629700002403650700002103674700001803695700002403713700001703737700002603754700001603780700002803796700001903824700001903843700002103862700002003883700002303903700002403926700001903950700002703969700002203996700002204018700002404040700001804064700002204082700001904104700002204123700002304145700002304168700001804191700002904209700002004238700001904258700002204277700001804299700002404317700002204341700001904363700002404382700001504406700002204421700002304443700002404466856003604490 2017 eng d a1460-208300aDiscovery of novel heart rate-associated loci using the Exome Chip.0 aDiscovery of novel heart rateassociated loci using the Exome Chi c2017 Apr 033 aBackground Resting heart rate is a heritable trait, and an increase in heart rate is associated with increased mortality risk. GWAS analyses have found loci associated with resting heart rate, at the time of our study these loci explained 0.9% of the variation.Aim To discover new genetic loci associated with heart rate from Exome Chip meta-analyses.Methods Heart rate was measured from either elecrtrocardiograms or pulse recordings. We meta-analysed heart rate association results from 104,452 European-ancestry individuals from 30 cohorts, genotyped using the Exome Chip. Twenty-four variants were selected for follow-up in an independent dataset (UK Biobank, N = 134,251). Conditional and gene-based testing was undertaken, and variants were investigated with bioinformatics methods.Results We discovered five novel heart rate loci, and one new independent low-frequency non-synonymous variant in an established heart rate locus (KIAA1755). Lead variants in four of the novel loci are non-synonymous variants in the genes C10orf71, DALDR3, TESK2, SEC31B. The variant at SEC31B is significantly associated with SEC31B expression in heart and tibial nerve tissue. Further candidate genes were detected from long range regulatory chromatin interactions in heart tissue (SCD, SLF2, MAPK8). We observed significant enrichment in DNase I hypersensitive sites in fetal heart and lung. Moreover, enrichment was seen for the first time in human neuronal progenitor cells (derived from embryonic stem cells) and fetal muscle samples by including our novel variants.Conclusion Our findings advance the knowledge of the genetic architecture of heart rate, and indicate new candidate genes for follow-up functional studies.
1 avan den Berg, Marten, E1 aWarren, Helen, R1 aCabrera, Claudia, P1 aVerweij, Niek1 aMifsud, Borbala1 aHaessler, Jeffrey1 aBihlmeyer, Nathan, A1 aFu, Yi-Ping1 aWeiss, Stefan1 aLin, Henry, J1 aGrarup, Niels1 aLi-Gao, Ruifang1 aPistis, Giorgio1 aShah, Nabi1 aBrody, Jennifer, A1 aMüller-Nurasyid, Martina1 aLin, Honghuang1 aMei, Hao1 aSmith, Albert, V1 aLyytikäinen, Leo-Pekka1 aHall, Leanne, M1 avan Setten, Jessica1 aTrompet, Stella1 aPrins, Bram, P1 aIsaacs, Aaron1 aRadmanesh, Farid1 aMarten, Jonathan1 aEntwistle, Aiman1 aKors, Jan, A1 aSilva, Claudia, T1 aAlonso, Alvaro1 aBis, Joshua, C1 ade Boer, Rudolf1 ade Haan, Hugoline, G1 ade Mutsert, Renée1 aDedoussis, George1 aDominiczak, Anna, F1 aDoney, Alex, S F1 aEllinor, Patrick, T1 aEppinga, Ruben, N1 aFelix, Stephan, B1 aGuo, Xiuqing1 aHagemeijer, Yanick1 aHansen, Torben1 aHarris, Tamara, B1 aHeckbert, Susan, R1 aHuang, Paul, L1 aHwang, Shih-Jen1 aKähönen, Mika1 aKanters, Jørgen, K1 aKolcic, Ivana1 aLauner, Lenore, J1 aLi, Man1 aYao, Jie1 aLinneberg, Allan1 aLiu, Simin1 aMacfarlane, Peter, W1 aMangino, Massimo1 aMorris, Andrew, D1 aMulas, Antonella1 aMurray, Alison, D1 aNelson, Christopher, P1 aOrrù, Marco1 aPadmanabhan, Sandosh1 aPeters, Annette1 aPorteous, David, J1 aPoulter, Neil1 aPsaty, Bruce, M1 aQi, Lihong1 aRaitakari, Olli, T1 aRivadeneira, Fernando1 aRoselli, Carolina1 aRudan, Igor1 aSattar, Naveed1 aSever, Peter1 aSinner, Moritz, F1 aSoliman, Elsayed, Z1 aSpector, Timothy, D1 aStanton, Alice, V1 aStirrups, Kathleen, E1 aTaylor, Kent, D1 aTobin, Martin, D1 aUitterlinden, Andre1 aVaartjes, Ilonca1 aHoes, Arno, W1 avan der Meer, Peter1 aVölker, Uwe1 aWaldenberger, Melanie1 aXie, Zhijun1 aZoledziewska, Magdalena1 aTinker, Andrew1 aPolasek, Ozren1 aRosand, Jonathan1 aJamshidi, Yalda1 aDuijn, Cornelia, M1 aZeggini, Eleftheria1 aJukema, Wouter1 aAsselbergs, Folkert, W1 aSamani, Nilesh, J1 aLehtimäki, Terho1 aGudnason, Vilmundur1 aWilson, James1 aLubitz, Steven, A1 aKääb, Stefan1 aSotoodehnia, Nona1 aCaulfield, Mark, J1 aPalmer, Colin, N A1 aSanna, Serena1 aMook-Kanamori, Dennis, O1 aDeloukas, Panos1 aPedersen, Oluf1 aRotter, Jerome, I1 aDörr, Marcus1 aO'Donnell, Chris, J1 aHayward, Caroline1 aArking, Dan, E1 aKooperberg, Charles1 aHarst, Pim1 aEijgelsheim, Mark1 aStricker, Bruno, H1 aMunroe, Patricia, B uhttps://chs-nhlbi.org/node/736307019nas a2201849 4500008004100000022001400041245009300055210006900148260001300217490000700230520169900237100001901936700001901955700002101974700002301995700001602018700002502034700002202059700001802081700001902099700001702118700002602135700001602161700003002177700002302207700002102230700002502251700002002276700002102296700002302317700001602340700002302356700002002379700001702399700002102416700002302437700002202460700001402482700002502496700002902521700002402550700002102574700001802595700001702613700002502630700001802655700001802673700002002691700002202711700002502733700001302758700002002771700002402791700002502815700001902840700001902859700002102878700002702899700001902926700001402945700002402959700002302983700002203006700002503028700002603053700002303079700002203102700002103124700002003145700001803165700002603183700001703209700001803226700002303244700002403267700001203291700002103303700002103324700002203345700002103367700002703388700002303415700001803438700002203456700002003478700002403498700001803522700001903540700002103559700001603580700002003596700002303616700002003639700002203659700001603681700002103697700001903718700002203737700001703759700002003776700002303796700002703819700002403846700001903870700002203889700001903911700002403930700001503954700002003969700001903989700002204008700001904030700002104049700002204070700002304092700001904115700001904134700002104153700002504174700002004199700002004219700002204239700001604261700002004277700002204297700002004319700001604339700002604355700001904381700001504400700002404415700002304439700002604462700002404488700002504512700002104537700002304558700002104581700002404602700002104626700002504647700001704672700002704689700002004716700002004736700002304756700002304779700001804802700002504820700001704845700002904862700002404891700002404915710004304939710015104982856003605133 2017 eng d a1942-326800aNew Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals.0 aNew Blood PressureAssociated Loci Identified in MetaAnalyses of c2017 Oct0 v103 aBACKGROUND: Genome-wide association studies have recently identified >400 loci that harbor DNA sequence variants that influence blood pressure (BP). Our earlier studies identified and validated 56 single nucleotide variants (SNVs) associated with BP from meta-analyses of exome chip genotype data. An additional 100 variants yielded suggestive evidence of association.
METHODS AND RESULTS: Here, we augment the sample with 140 886 European individuals from the UK Biobank, in whom 77 of the 100 suggestive SNVs were available for association analysis with systolic BP or diastolic BP or pulse pressure. We performed 2 meta-analyses, one in individuals of European, South Asian, African, and Hispanic descent (pan-ancestry, ≈475 000), and the other in the subset of individuals of European descent (≈423 000). Twenty-one SNVs were genome-wide significant (P<5×10-8) for BP, of which 4 are new BP loci: rs9678851 (missense, SLC4A1AP), rs7437940 (AFAP1), rs13303 (missense, STAB1), and rs1055144 (7p15.2). In addition, we identified a potentially independent novel BP-associated SNV, rs3416322 (missense, SYNPO2L) at a known locus, uncorrelated with the previously reported SNVs. Two SNVs are associated with expression levels of nearby genes, and SNVs at 3 loci are associated with other traits. One SNV with a minor allele frequency <0.01, (rs3025380 at DBH) was genome-wide significant.
CONCLUSIONS: We report 4 novel loci associated with BP regulation, and 1 independent variant at an established BP locus. This analysis highlights several candidate genes with variation that alter protein function or gene expression for potential follow-up.
1 aKraja, Aldi, T1 aCook, James, P1 aWarren, Helen, R1 aSurendran, Praveen1 aLiu, Chunyu1 aEvangelou, Evangelos1 aManning, Alisa, K1 aGrarup, Niels1 aDrenos, Fotios1 aSim, Xueling1 aSmith, Albert, Vernon1 aAmin, Najaf1 aBlakemore, Alexandra, I F1 aBork-Jensen, Jette1 aBrandslund, Ivan1 aFarmaki, Aliki-Eleni1 aFava, Cristiano1 aFerreira, Teresa1 aHerzig, Karl-Heinz1 aGiri, Ayush1 aGiulianini, Franco1 aGrove, Megan, L1 aGuo, Xiuqing1 aHarris, Sarah, E1 aHave, Christian, T1 aHavulinna, Aki, S1 aZhang, He1 aJørgensen, Marit, E1 aKäräjämäki, AnneMari1 aKooperberg, Charles1 aLinneberg, Allan1 aLittle, Louis1 aLiu, Yongmei1 aBonnycastle, Lori, L1 aLu, Yingchang1 aMägi, Reedik1 aMahajan, Anubha1 aMalerba, Giovanni1 aMarioni, Riccardo, E1 aMei, Hao1 aMenni, Cristina1 aMorrison, Alanna, C1 aPadmanabhan, Sandosh1 aPalmas, Walter1 aPoveda, Alaitz1 aRauramaa, Rainer1 aRayner, Nigel, William1 aRiaz, Muhammad1 aRice, Ken1 aRichard, Melissa, A1 aSmith, Jennifer, A1 aSoutham, Lorraine1 aStančáková, Alena1 aStirrups, Kathleen, E1 aTragante, Vinicius1 aTuomi, Tiinamaija1 aTzoulaki, Ioanna1 aVarga, Tibor, V1 aWeiss, Stefan1 aYiorkas, Andrianos, M1 aYoung, Robin1 aZhang, Weihua1 aBarnes, Michael, R1 aCabrera, Claudia, P1 aGao, He1 aBoehnke, Michael1 aBoerwinkle, Eric1 aChambers, John, C1 aConnell, John, M1 aChristensen, Cramer, K1 ade Boer, Rudolf, A1 aDeary, Ian, J1 aDedoussis, George1 aDeloukas, Panos1 aDominiczak, Anna, F1 aDörr, Marcus1 aJoehanes, Roby1 aEdwards, Todd, L1 aEsko, Tõnu1 aFornage, Myriam1 aFranceschini, Nora1 aFranks, Paul, W1 aGambaro, Giovanni1 aGroop, Leif1 aHallmans, Göran1 aHansen, Torben1 aHayward, Caroline1 aHeikki, Oksa1 aIngelsson, Erik1 aTuomilehto, Jaakko1 aJarvelin, Marjo-Riitta1 aKardia, Sharon, L R1 aKarpe, Fredrik1 aKooner, Jaspal, S1 aLakka, Timo, A1 aLangenberg, Claudia1 aLind, Lars1 aLoos, Ruth, J F1 aLaakso, Markku1 aMcCarthy, Mark, I1 aMelander, Olle1 aMohlke, Karen, L1 aMorris, Andrew, P1 aPalmer, Colin, N A1 aPedersen, Oluf1 aPolasek, Ozren1 aPoulter, Neil, R1 aProvince, Michael, A1 aPsaty, Bruce, M1 aRidker, Paul, M1 aRotter, Jerome, I1 aRudan, Igor1 aSalomaa, Veikko1 aSamani, Nilesh, J1 aSever, Peter, J1 aSkaaby, Tea1 aStafford, Jeanette, M1 aStarr, John, M1 aHarst, Pim1 avan der Meer, Peter1 aDuijn, Cornelia, M1 aVergnaud, Anne-Claire1 aGudnason, Vilmundur1 aWareham, Nicholas, J1 aWilson, James, G1 aWiller, Cristen, J1 aWitte, Daniel, R1 aZeggini, Eleftheria1 aSaleheen, Danish1 aButterworth, Adam, S1 aDanesh, John1 aAsselbergs, Folkert, W1 aWain, Louise, V1 aEhret, Georg, B1 aChasman, Daniel, I1 aCaulfield, Mark, J1 aElliott, Paul1 aLindgren, Cecilia, M1 aLevy, Daniel1 aNewton-Cheh, Christopher1 aMunroe, Patricia, B1 aHowson, Joanna, M M1 aUnderstanding Society Scientific Group1 aCHARGE EXOME BP, CHD Exome+, Exome BP, GoT2D:T2DGenes Consortia, The UK Biobank Cardio-Metabolic Traits Consortium Blood Pressure Working Group† uhttps://chs-nhlbi.org/node/756905196nas a2201345 4500008004100000022001400041245009400055210006900149260001300218300001200231490000700243520143500250100001901685700002401704700002101728700002501749700002101774700002301795700002101818700001701839700001801856700003001874700002001904700001801924700001801942700002001960700002801980700002102008700001802029700001902047700002202066700002802088700001302116700002202129700002202151700001202173700001902185700002402204700002102228700001902249700001802268700002402286700002002310700001702330700002202347700002202369700001902391700002102410700002402431700001702455700001602472700001902488700002202507700002702529700002402556700002202580700002402602700002002626700002602646700002202672700002302694700001902717700002102736700001602757700002302773700002402796700001302820700001702833700002002850700002202870700002202892700002902914700002002943700002602963700002402989700002203013700002503035700002003060700001903080700002203099700001803121700001703139700002103156700002403177700002103201700001703222700002003239700002303259700002403282700001903306700002403325700002003349700002303369700002403392700002103416700002203437700001903459700001903478700001903497700001503516700002303531700001903554700002303573700002203596700001803618700002003636700002703656700002403683700002203707700002103729700002403750700002203774700001803796856003603814 2018 eng d a2574-830000aCommon and Rare Coding Genetic Variation Underlying the Electrocardiographic PR Interval.0 aCommon and Rare Coding Genetic Variation Underlying the Electroc c2018 May ae0020370 v113 aBACKGROUND: Electrical conduction from the cardiac sinoatrial node to the ventricles is critical for normal heart function. Genome-wide association studies have identified more than a dozen common genetic loci that are associated with PR interval. However, it is unclear whether rare and low-frequency variants also contribute to PR interval heritability.
METHODS: We performed large-scale meta-analyses of the PR interval that included 83 367 participants of European ancestry and 9436 of African ancestry. We examined both common and rare variants associated with the PR interval.
RESULTS: We identified 31 genetic loci that were significantly associated with PR interval after Bonferroni correction (<1.2×10), including 11 novel loci that have not been reported previously. Many of these loci are involved in heart morphogenesis. In gene-based analysis, we found that multiple rare variants at (=5.9×10) and (=1.1×10) were associated with PR interval. locus also was implicated in the common variant analysis, whereas was a novel locus.
CONCLUSIONS: We identified common variants at 11 novel loci and rare variants within 2 gene regions that were significantly associated with PR interval. Our findings provide novel insights to the current understanding of atrioventricular conduction, which is critical for cardiac activity and an important determinant of health.
1 aLin, Honghuang1 avan Setten, Jessica1 aSmith, Albert, V1 aBihlmeyer, Nathan, A1 aWarren, Helen, R1 aBrody, Jennifer, A1 aRadmanesh, Farid1 aHall, Leanne1 aGrarup, Niels1 aMüller-Nurasyid, Martina1 aBoutin, Thibaud1 aVerweij, Niek1 aLin, Henry, J1 aLi-Gao, Ruifang1 avan den Berg, Marten, E1 aMarten, Jonathan1 aWeiss, Stefan1 aPrins, Bram, P1 aHaessler, Jeffrey1 aLyytikäinen, Leo-Pekka1 aMei, Hao1 aHarris, Tamara, B1 aLauner, Lenore, J1 aLi, Man1 aAlonso, Alvaro1 aSoliman, Elsayed, Z1 aConnell, John, M1 aHuang, Paul, L1 aWeng, Lu-Chen1 aJameson, Heather, S1 aHucker, William1 aHanley, Alan1 aTucker, Nathan, R1 aChen, Yii-Der Ida1 aBis, Joshua, C1 aRice, Kenneth, M1 aSitlani, Colleen, M1 aKors, Jan, A1 aXie, Zhijun1 aWen, Chengping1 aMagnani, Jared, W1 aNelson, Christopher, P1 aKanters, Jørgen, K1 aSinner, Moritz, F1 aStrauch, Konstantin1 aPeters, Annette1 aWaldenberger, Melanie1 aMeitinger, Thomas1 aBork-Jensen, Jette1 aPedersen, Oluf1 aLinneberg, Allan1 aRudan, Igor1 ade Boer, Rudolf, A1 avan der Meer, Peter1 aYao, Jie1 aGuo, Xiuqing1 aTaylor, Kent, D1 aSotoodehnia, Nona1 aRotter, Jerome, I1 aMook-Kanamori, Dennis, O1 aTrompet, Stella1 aRivadeneira, Fernando1 aUitterlinden, Andre1 aEijgelsheim, Mark1 aPadmanabhan, Sandosh1 aSmith, Blair, H1 aVölzke, Henry1 aFelix, Stephan, B1 aHomuth, Georg1 aVölker, Uwe1 aMangino, Massimo1 aSpector, Timothy, D1 aBots, Michiel, L1 aPerez, Marco1 aKähönen, Mika1 aRaitakari, Olli, T1 aGudnason, Vilmundur1 aArking, Dan, E1 aMunroe, Patricia, B1 aPsaty, Bruce, M1 aDuijn, Cornelia, M1 aBenjamin, Emelia, J1 aRosand, Jonathan1 aSamani, Nilesh, J1 aHansen, Torben1 aKääb, Stefan1 aPolasek, Ozren1 aHarst, Pim1 aHeckbert, Susan, R1 aJukema, Wouter1 aStricker, Bruno, H1 aHayward, Caroline1 aDörr, Marcus1 aJamshidi, Yalda1 aAsselbergs, Folkert, W1 aKooperberg, Charles1 aLehtimäki, Terho1 aWilson, James, G1 aEllinor, Patrick, T1 aLubitz, Steven, A1 aIsaacs, Aaron uhttps://chs-nhlbi.org/node/780105658nas a2201489 4500008004100000022001400041245010600055210006900161260001500230300000700245490000700252520146500259100001901724700002101743700002301764700002701787700001901814700002501833700002501858700002301883700002501906700002901931700002201960700002301982700001702005700001702022700001802039700002202057700002002079700002102099700001802120700002002138700001902158700001802177700002802195700002102223700001302244700003002257700001902287700002502306700002102331700001902352700002302371700002002394700002402414700002102438700001802459700002102477700001802498700001902516700002002535700002102555700002302576700002402599700002202623700002402645700001702669700002202686700002202708700002202730700002302752700001902775700001702794700002002811700001702831700002202848700002202870700001202892700002102904700002702925700001902952700001702971700002002988700001903008700002003027700002303047700002103070700002203091700002203113700002403135700002003159700002403179700002803203700001903231700002003250700002403270700002103294700002403315700001703339700001903356700002603375700002103401700001603422700002703438700001803465700002303483700002103506700002803527700002403555700001903579700001903598700002403617700002403641700002203665700001803687700002203705700002903727700002403756700003203780700002103812700001603833700002203849700002403871700002003895700001603915700002303931700001803954700002203972700002003994700001504014700002104029700002404050700001904074700001904093700002004112856003604132 2018 eng d a1474-760X00aExome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6.0 aExomechip metaanalysis identifies novel loci associated with car c2018 07 17 a870 v193 aBACKGROUND: Genome-wide association studies conducted on QRS duration, an electrocardiographic measurement associated with heart failure and sudden cardiac death, have led to novel biological insights into cardiac function. However, the variants identified fall predominantly in non-coding regions and their underlying mechanisms remain unclear.
RESULTS: Here, we identify putative functional coding variation associated with changes in the QRS interval duration by combining Illumina HumanExome BeadChip genotype data from 77,898 participants of European ancestry and 7695 of African descent in our discovery cohort, followed by replication in 111,874 individuals of European ancestry from the UK Biobank and deCODE cohorts. We identify ten novel loci, seven within coding regions, including ADAMTS6, significantly associated with QRS duration in gene-based analyses. ADAMTS6 encodes a secreted metalloprotease of currently unknown function. In vitro validation analysis shows that the QRS-associated variants lead to impaired ADAMTS6 secretion and loss-of function analysis in mice demonstrates a previously unappreciated role for ADAMTS6 in connexin 43 gap junction expression, which is essential for myocardial conduction.
CONCLUSIONS: Our approach identifies novel coding and non-coding variants underlying ventricular depolarization and provides a possible mechanism for the ADAMTS6-associated conduction changes.
1 aPrins, Bram, P1 aMead, Timothy, J1 aBrody, Jennifer, A1 aSveinbjornsson, Gardar1 aNtalla, Ioanna1 aBihlmeyer, Nathan, A1 avan den Berg, Marten1 aBork-Jensen, Jette1 aCappellani, Stefania1 aVan Duijvenboden, Stefan1 aKlena, Nikolai, T1 aGabriel, George, C1 aLiu, Xiaoqin1 aGulec, Cagri1 aGrarup, Niels1 aHaessler, Jeffrey1 aHall, Leanne, M1 aIorio, Annamaria1 aIsaacs, Aaron1 aLi-Gao, Ruifang1 aLin, Honghuang1 aLiu, Ching-Ti1 aLyytikäinen, Leo-Pekka1 aMarten, Jonathan1 aMei, Hao1 aMüller-Nurasyid, Martina1 aOrini, Michele1 aPadmanabhan, Sandosh1 aRadmanesh, Farid1 aRamirez, Julia1 aRobino, Antonietta1 aSchwartz, Molly1 avan Setten, Jessica1 aSmith, Albert, V1 aVerweij, Niek1 aWarren, Helen, R1 aWeiss, Stefan1 aAlonso, Alvaro1 aArnar, David, O1 aBots, Michiel, L1 ade Boer, Rudolf, A1 aDominiczak, Anna, F1 aEijgelsheim, Mark1 aEllinor, Patrick, T1 aGuo, Xiuqing1 aFelix, Stephan, B1 aHarris, Tamara, B1 aHayward, Caroline1 aHeckbert, Susan, R1 aHuang, Paul, L1 aJukema, J, W1 aKähönen, Mika1 aKors, Jan, A1 aLambiase, Pier, D1 aLauner, Lenore, J1 aLi, Man1 aLinneberg, Allan1 aNelson, Christopher, P1 aPedersen, Oluf1 aPerez, Marco1 aPeters, Annette1 aPolasek, Ozren1 aPsaty, Bruce, M1 aRaitakari, Olli, T1 aRice, Kenneth, M1 aRotter, Jerome, I1 aSinner, Moritz, F1 aSoliman, Elsayed, Z1 aSpector, Tim, D1 aStrauch, Konstantin1 aThorsteinsdottir, Unnur1 aTinker, Andrew1 aTrompet, Stella1 aUitterlinden, Andre1 aVaartjes, Ilonca1 avan der Meer, Peter1 aVölker, Uwe1 aVölzke, Henry1 aWaldenberger, Melanie1 aWilson, James, G1 aXie, Zhijun1 aAsselbergs, Folkert, W1 aDörr, Marcus1 aDuijn, Cornelia, M1 aGasparini, Paolo1 aGudbjartsson, Daniel, F1 aGudnason, Vilmundur1 aHansen, Torben1 aKääb, Stefan1 aKanters, Jørgen, K1 aKooperberg, Charles1 aLehtimäki, Terho1 aLin, Henry, J1 aLubitz, Steven, A1 aMook-Kanamori, Dennis, O1 aConti, Francesco, J1 aNewton-Cheh, Christopher, H1 aRosand, Jonathan1 aRudan, Igor1 aSamani, Nilesh, J1 aSinagra, Gianfranco1 aSmith, Blair, H1 aHolm, Hilma1 aStricker, Bruno, H1 aUlivi, Sheila1 aSotoodehnia, Nona1 aApte, Suneel, S1 aHarst, Pim1 aStefansson, Kari1 aMunroe, Patricia, B1 aArking, Dan, E1 aLo, Cecilia, W1 aJamshidi, Yalda uhttps://chs-nhlbi.org/node/780905298nas a2201333 4500008004100000022001400041245011200055210006900167260001300236300001200249490000700261520154600268100002501814700002301839700002601862700002101888700001901909700001801928700001801946700002101964700002101985700002002006700001802026700001302044700003002057700002502087700001802112700001702130700001302147700002002160700002502180700001802205700001902223700002402242700002202266700002802288700001202316700001902328700002402347700001902371700001602390700002202406700002002428700002302448700002202471700002502493700002102518700001902539700001602558700002402574700001702598700002102615700002202636700002702658700002102685700002302706700001902729700001902748700002102767700002202788700002002810700002602830700002202856700002002878700001802898700001602916700002302932700002402955700001802979700002002997700002303017700002003040700001903060700001803079700002503097700002603122700002403148700001703172700001803189700001903207700002203226700002103248700002403269700002103293700001703314700002303331700002003354700001803374700002403392700002403416700002203440700002303462700003203485700002203517700002103539700002203560700002403582700002103606700001903627700001903646700001503665700002303680700002203703700002903725700002203754700001803776700002003794700002703814700002403841700002203865700001903887700002203906856003603928 2018 eng d a2574-830000aExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals.0 aExomeChipWide Analysis of 95 626 Individuals Identifies 10 Novel c2018 Jan ae0017580 v113 aBACKGROUND: QT interval, measured through a standard ECG, captures the time it takes for the cardiac ventricles to depolarize and repolarize. JT interval is the component of the QT interval that reflects ventricular repolarization alone. Prolonged QT interval has been linked to higher risk of sudden cardiac arrest.
METHODS AND RESULTS: We performed an ExomeChip-wide analysis for both QT and JT intervals, including 209 449 variants, both common and rare, in 17 341 genes from the Illumina Infinium HumanExome BeadChip. We identified 10 loci that modulate QT and JT interval duration that have not been previously reported in the literature using single-variant statistical models in a meta-analysis of 95 626 individuals from 23 cohorts (comprised 83 884 European ancestry individuals, 9610 blacks, 1382 Hispanics, and 750 Asians). This brings the total number of ventricular repolarization associated loci to 45. In addition, our approach of using coding variants has highlighted the role of 17 specific genes for involvement in ventricular repolarization, 7 of which are in novel loci.
CONCLUSIONS: Our analyses show a role for myocyte internal structure and interconnections in modulating QT interval duration, adding to previous known roles of potassium, sodium, and calcium ion regulation, as well as autonomic control. We anticipate that these discoveries will open new paths to the goal of making novel remedies for the prevention of lethal ventricular arrhythmias and sudden cardiac arrest.
1 aBihlmeyer, Nathan, A1 aBrody, Jennifer, A1 aSmith, Albert, Vernon1 aWarren, Helen, R1 aLin, Honghuang1 aIsaacs, Aaron1 aLiu, Ching-Ti1 aMarten, Jonathan1 aRadmanesh, Farid1 aHall, Leanne, M1 aGrarup, Niels1 aMei, Hao1 aMüller-Nurasyid, Martina1 aHuffman, Jennifer, E1 aVerweij, Niek1 aGuo, Xiuqing1 aYao, Jie1 aLi-Gao, Ruifang1 avan den Berg, Marten1 aWeiss, Stefan1 aPrins, Bram, P1 avan Setten, Jessica1 aHaessler, Jeffrey1 aLyytikäinen, Leo-Pekka1 aLi, Man1 aAlonso, Alvaro1 aSoliman, Elsayed, Z1 aBis, Joshua, C1 aAustin, Tom1 aChen, Yii-Der Ida1 aPsaty, Bruce, M1 aHarrris, Tamara, B1 aLauner, Lenore, J1 aPadmanabhan, Sandosh1 aDominiczak, Anna1 aHuang, Paul, L1 aXie, Zhijun1 aEllinor, Patrick, T1 aKors, Jan, A1 aCampbell, Archie1 aMurray, Alison, D1 aNelson, Christopher, P1 aTobin, Martin, D1 aBork-Jensen, Jette1 aHansen, Torben1 aPedersen, Oluf1 aLinneberg, Allan1 aSinner, Moritz, F1 aPeters, Annette1 aWaldenberger, Melanie1 aMeitinger, Thomas1 aPerz, Siegfried1 aKolcic, Ivana1 aRudan, Igor1 ade Boer, Rudolf, A1 avan der Meer, Peter1 aLin, Henry, J1 aTaylor, Kent, D1 ade Mutsert, Renée1 aTrompet, Stella1 aJukema, Wouter1 aMaan, Arie, C1 aStricker, Bruno, H C1 aRivadeneira, Fernando1 aUitterlinden, Andre1 aVölker, Uwe1 aHomuth, Georg1 aVölzke, Henry1 aFelix, Stephan, B1 aMangino, Massimo1 aSpector, Timothy, D1 aBots, Michiel, L1 aPerez, Marco1 aRaitakari, Olli, T1 aKähönen, Mika1 aMononen, Nina1 aGudnason, Vilmundur1 aMunroe, Patricia, B1 aLubitz, Steven, A1 aDuijn, Cornelia, M1 aNewton-Cheh, Christopher, H1 aHayward, Caroline1 aRosand, Jonathan1 aSamani, Nilesh, J1 aKanters, Jørgen, K1 aWilson, James, G1 aKääb, Stefan1 aPolasek, Ozren1 aHarst, Pim1 aHeckbert, Susan, R1 aRotter, Jerome, I1 aMook-Kanamori, Dennis, O1 aEijgelsheim, Mark1 aDörr, Marcus1 aJamshidi, Yalda1 aAsselbergs, Folkert, W1 aKooperberg, Charles1 aLehtimäki, Terho1 aArking, Dan, E1 aSotoodehnia, Nona uhttps://chs-nhlbi.org/node/778403584nas a2200649 4500008004100000022001400041245010200055210006900157260001500226300001200241490000700253520177200260100001702032700001902049700001702068700002002085700001402105700002402119700002302143700001802166700002502184700001902209700002302228700002402251700002102275700002002296700001702316700002002333700001302353700002002366700002002386700002202406700003002428700002502458700002002483700001802503700001902521700002002540700002302560700002002583700002002603700002102623700002402644700002102668700001402689700001902703700002202722700002302744700001702767700001602784700002202800700002102822700001802843700001902861700001802880856003602898 2019 eng d a1460-208300aAdmixture mapping identifies novel loci for obstructive sleep apnea in Hispanic/Latino Americans.0 aAdmixture mapping identifies novel loci for obstructive sleep ap c2019 02 15 a675-6870 v283 aObstructive sleep apnea (OSA) is a common disorder associated with increased risk of cardiovascular disease and mortality. Its prevalence and severity vary across ancestral background. Although OSA traits are heritable, few genetic associations have been identified. To identify genetic regions associated with OSA and improve statistical power, we applied admixture mapping on three primary OSA traits [the apnea hypopnea index (AHI), overnight average oxyhemoglobin saturation (SaO2) and percentage time SaO2 < 90%] and a secondary trait (respiratory event duration) in a Hispanic/Latino American population study of 11 575 individuals with significant variation in ancestral background. Linear mixed models were performed using previously inferred African, European and Amerindian local genetic ancestry markers. Global African ancestry was associated with a lower AHI, higher SaO2 and shorter event duration. Admixture mapping analysis of the primary OSA traits identified local African ancestry at the chromosomal region 2q37 as genome-wide significantly associated with AHI (P < 5.7 × 10-5), and European and Amerindian ancestries at 18q21 suggestively associated with both AHI and percentage time SaO2 < 90% (P < 10-3). Follow-up joint ancestry-SNP association analyses identified novel variants in ferrochelatase (FECH), significantly associated with AHI and percentage time SaO2 < 90% after adjusting for multiple tests (P < 8 × 10-6). These signals contributed to the admixture mapping associations and were replicated in independent cohorts. In this first admixture mapping study of OSA, novel associations with variants in the iron/heme metabolism pathway suggest a role for iron in influencing respiratory traits underlying OSA.
1 aWang, Heming1 aCade, Brian, E1 aSofer, Tamar1 aSands, Scott, A1 aChen, Han1 aBrowning, Sharon, R1 aStilp, Adrienne, M1 aLouie, Tin, L1 aThornton, Timothy, A1 aJohnson, Craig1 aBelow, Jennifer, E1 aConomos, Matthew, P1 aEvans, Daniel, S1 aGharib, Sina, A1 aGuo, Xiuqing1 aWood, Alexis, C1 aMei, Hao1 aYaffe, Kristine1 aLoredo, Jose, S1 aRamos, Alberto, R1 aBarrett-Connor, Elizabeth1 aAncoli-Israel, Sonia1 aZee, Phyllis, C1 aArens, Raanan1 aShah, Neomi, A1 aTaylor, Kent, D1 aTranah, Gregory, J1 aStone, Katie, L1 aHanis, Craig, L1 aWilson, James, G1 aGottlieb, Daniel, J1 aPatel, Sanjay, R1 aRice, Ken1 aPost, Wendy, S1 aRotter, Jerome, I1 aSunyaev, Shamil, R1 aCai, Jianwen1 aLin, Xihong1 aPurcell, Shaun, M1 aLaurie, Cathy, C1 aSaxena, Richa1 aRedline, Susan1 aZhu, Xiaofeng uhttps://chs-nhlbi.org/node/804904619nas a2201021 4500008004100000022001400041245012900055210006900184260001200253300001300265490000700278520172700285653001502012653001002027653000902037653002202046653003802068653002602106653003402132653001102166653002902177653002202206653003402228653001502262653001102277653001202288653004202300653000902342653001602351653002602367653005002393653001102443653001902454653003602473653002802509653002602537653001002563653002602573653001602599100001902615700001402634700002302648700001502671700002502686700001802711700002202729700002302751700001702774700002402791700002102815700002802836700002002864700002202884700002402906700002202930700001902952700002202971700001502993700002003008700001303028700002203041700002103063700001903084700002203103700002203125700002103147700001403168700001903182700001703201700002003218700002503238700001703263700002003280700002003300700002003320700002003340700002203360700002003382700002303402700002103425700002303446700002103469700001803490700001803508700001603526700001903542856003603561 2019 eng d a1553-740400aAssociations of variants In the hexokinase 1 and interleukin 18 receptor regions with oxyhemoglobin saturation during sleep.0 aAssociations of variants In the hexokinase 1 and interleukin 18 c2019 04 ae10077390 v153 aSleep disordered breathing (SDB)-related overnight hypoxemia is associated with cardiometabolic disease and other comorbidities. Understanding the genetic bases for variations in nocturnal hypoxemia may help understand mechanisms influencing oxygenation and SDB-related mortality. We conducted genome-wide association tests across 10 cohorts and 4 populations to identify genetic variants associated with three correlated measures of overnight oxyhemoglobin saturation: average and minimum oxyhemoglobin saturation during sleep and the percent of sleep with oxyhemoglobin saturation under 90%. The discovery sample consisted of 8,326 individuals. Variants with p < 1 × 10(-6) were analyzed in a replication group of 14,410 individuals. We identified 3 significantly associated regions, including 2 regions in multi-ethnic analyses (2q12, 10q22). SNPs in the 2q12 region associated with minimum SpO2 (rs78136548 p = 2.70 × 10(-10)). SNPs at 10q22 were associated with all three traits including average SpO2 (rs72805692 p = 4.58 × 10(-8)). SNPs in both regions were associated in over 20,000 individuals and are supported by prior associations or functional evidence. Four additional significant regions were detected in secondary sex-stratified and combined discovery and replication analyses, including a region overlapping Reelin, a known marker of respiratory complex neurons.These are the first genome-wide significant findings reported for oxyhemoglobin saturation during sleep, a phenotype of high clinical interest. Our replicated associations with HK1 and IL18R1 suggest that variants in inflammatory pathways, such as the biologically-plausible NLRP3 inflammasome, may contribute to nocturnal hypoxemia.
10aAdolescent10aAdult10aAged10aAged, 80 and over10aCell Adhesion Molecules, Neuronal10aComputational Biology10aExtracellular Matrix Proteins10aFemale10aGene Regulatory Networks10aGenetic Variation10aGenome-Wide Association Study10aHexokinase10aHumans10aHypoxia10aInterleukin-18 Receptor alpha Subunit10aMale10aMiddle Aged10aNerve Tissue Proteins10aNLR Family, Pyrin Domain-Containing 3 Protein10aOxygen10aOxyhemoglobins10aPolymorphism, Single Nucleotide10aQuantitative Trait Loci10aSerine Endopeptidases10aSleep10aSleep Apnea Syndromes10aYoung Adult1 aCade, Brian, E1 aChen, Han1 aStilp, Adrienne, M1 aLouie, Tin1 aAncoli-Israel, Sonia1 aArens, Raanan1 aBarfield, Richard1 aBelow, Jennifer, E1 aCai, Jianwen1 aConomos, Matthew, P1 aEvans, Daniel, S1 aFrazier-Wood, Alexis, C1 aGharib, Sina, A1 aGleason, Kevin, J1 aGottlieb, Daniel, J1 aHillman, David, R1 aJohnson, Craig1 aLederer, David, J1 aLee, Jiwon1 aLoredo, Jose, S1 aMei, Hao1 aMukherjee, Sutapa1 aPatel, Sanjay, R1 aPost, Wendy, S1 aPurcell, Shaun, M1 aRamos, Alberto, R1 aReid, Kathryn, J1 aRice, Ken1 aShah, Neomi, A1 aSofer, Tamar1 aTaylor, Kent, D1 aThornton, Timothy, A1 aWang, Heming1 aYaffe, Kristine1 aZee, Phyllis, C1 aHanis, Craig, L1 aPalmer, Lyle, J1 aRotter, Jerome, I1 aStone, Katie, L1 aTranah, Gregory, J1 aWilson, James, G1 aSunyaev, Shamil, R1 aLaurie, Cathy, C1 aZhu, Xiaofeng1 aSaxena, Richa1 aLin, Xihong1 aRedline, Susan uhttps://chs-nhlbi.org/node/804407958nas a2202377 4500008004100000022001400041245011500055210006900170260001600239300000900255490000700264520122900271100001901500700001801519700002501537700002401562700002701586700002201613700002201635700002101657700002201678700002301700700002001723700002101743700002201764700002101786700002201807700002401829700002101853700002001874700001801894700001901912700001601931700002401947700003201971700002902003700002002032700002902052700002602081700002002107700002002127700002202147700002602169700001602195700002002211700002102231700001902252700001502271700002502286700002202311700002702333700002202360700002202382700002402404700001802428700002002446700002502466700001802491700001702509700002302526700002102549700002502570700002202595700002302617700001902640700002302659700002602682700001702708700001802725700002702743700002602770700002202796700002802818700002302846700002602869700002002895700002002915700002102935700001802956700001702974700002302991700001903014700002403033700002203057700002203079700002103101700002403122700002003146700002403166700002303190700001903213700001303232700001803245700002203263700003003285700002003315700002603335700002103361700002403382700002203406700002703428700001503455700001803470700001903488700002303507700002203530700002403552700002303576700001803599700001803617700001903635700001803654700002403672700001803696700001903714700001903733700002303752700002003775700001803795700002203813700002603835700002703861700002203888700002603910700001403936700001903950700002503969700002003994700001804014700002204032700001704054700001804071700002204089700001604111700002504127700002004152700001704172700002304189700001804212700002204230700002004252700001304272700002304285700001804308700002904326700002104355700002104376700001404397700002304411700001504434700002304449700001704472700001904489700003204508700002404540700002204564700002304586700002004609700002304629700002404652700002804676700002204704700002404726700002404750700001904774700002504793700002104818700001904839700001904858700002104877700002004898700002404918700002204942700002704964700002204991700002105013700002305034700002005057700001705077700001905094700002405113700002205137700001905159700001905178700002905197700002005226700002805246700001605274700001905290700002505309700002805334700002805362700002405390700001905414700002105433700002405454700002005478700002205498700002405520856003605544 2020 eng d a2041-172300aMulti-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction.0 aMultiancestry GWAS of the electrocardiographic PR interval ident c2020 May 21 a25420 v113 aThe electrocardiographic PR interval reflects atrioventricular conduction, and is associated with conduction abnormalities, pacemaker implantation, atrial fibrillation (AF), and cardiovascular mortality. Here we report a multi-ancestry (N = 293,051) genome-wide association meta-analysis for the PR interval, discovering 202 loci of which 141 have not previously been reported. Variants at identified loci increase the percentage of heritability explained, from 33.5% to 62.6%. We observe enrichment for cardiac muscle developmental/contractile and cytoskeletal genes, highlighting key regulation processes for atrioventricular conduction. Additionally, 8 loci not previously reported harbor genes underlying inherited arrhythmic syndromes and/or cardiomyopathies suggesting a role for these genes in cardiovascular pathology in the general population. We show that polygenic predisposition to PR interval duration is an endophenotype for cardiovascular disease, including distal conduction disease, AF, and atrioventricular pre-excitation. These findings advance our understanding of the polygenic basis of cardiac conduction, and the genetic relationship between PR interval duration and cardiovascular disease.
1 aNtalla, Ioanna1 aWeng, Lu-Chen1 aCartwright, James, H1 aHall, Amelia, Weber1 aSveinbjornsson, Gardar1 aTucker, Nathan, R1 aChoi, Seung, Hoan1 aChaffin, Mark, D1 aRoselli, Carolina1 aBarnes, Michael, R1 aMifsud, Borbala1 aWarren, Helen, R1 aHayward, Caroline1 aMarten, Jonathan1 aCranley, James, J1 aConcas, Maria, Pina1 aGasparini, Paolo1 aBoutin, Thibaud1 aKolcic, Ivana1 aPolasek, Ozren1 aRudan, Igor1 aAraujo, Nathalia, M1 aLima-Costa, Maria, Fernanda1 aRibeiro, Antonio, Luiz P1 aSouza, Renan, P1 aTarazona-Santos, Eduardo1 aGiedraitis, Vilmantas1 aIngelsson, Erik1 aMahajan, Anubha1 aMorris, Andrew, P1 aM, Fabiola, del Greco1 aFoco, Luisa1 aGögele, Martin1 aHicks, Andrew, A1 aCook, James, P1 aLind, Lars1 aLindgren, Cecilia, M1 aSundström, Johan1 aNelson, Christopher, P1 aRiaz, Muhammad, B1 aSamani, Nilesh, J1 aSinagra, Gianfranco1 aUlivi, Sheila1 aKähönen, Mika1 aMishra, Pashupati, P1 aMononen, Nina1 aNikus, Kjell1 aCaulfield, Mark, J1 aDominiczak, Anna1 aPadmanabhan, Sandosh1 aMontasser, May, E1 aO'Connell, Jeff, R1 aRyan, Kathleen1 aShuldiner, Alan, R1 aAeschbacher, Stefanie1 aConen, David1 aRisch, Lorenz1 aThériault, Sébastien1 aHutri-Kähönen, Nina1 aLehtimäki, Terho1 aLyytikäinen, Leo-Pekka1 aRaitakari, Olli, T1 aBarnes, Catriona, L K1 aCampbell, Harry1 aJoshi, Peter, K1 aWilson, James, F1 aIsaacs, Aaron1 aKors, Jan, A1 aDuijn, Cornelia, M1 aHuang, Paul, L1 aGudnason, Vilmundur1 aHarris, Tamara, B1 aLauner, Lenore, J1 aSmith, Albert, V1 aBottinger, Erwin, P1 aLoos, Ruth, J F1 aNadkarni, Girish, N1 aPreuss, Michael, H1 aCorrea, Adolfo1 aMei, Hao1 aWilson, James1 aMeitinger, Thomas1 aMüller-Nurasyid, Martina1 aPeters, Annette1 aWaldenberger, Melanie1 aMangino, Massimo1 aSpector, Timothy, D1 aRienstra, Michiel1 avan de Vegte, Yordi, J1 aHarst, Pim1 aVerweij, Niek1 aKääb, Stefan1 aSchramm, Katharina1 aSinner, Moritz, F1 aStrauch, Konstantin1 aCutler, Michael, J1 aFatkin, Diane1 aLondon, Barry1 aOlesen, Morten1 aRoden, Dan, M1 aShoemaker, Benjamin1 aSmith, Gustav1 aBiggs, Mary, L1 aBis, Joshua, C1 aBrody, Jennifer, A1 aPsaty, Bruce, M1 aRice, Kenneth1 aSotoodehnia, Nona1 aDe Grandi, Alessandro1 aFuchsberger, Christian1 aPattaro, Cristian1 aPramstaller, Peter, P1 aFord, Ian1 aJukema, Wouter1 aMacfarlane, Peter, W1 aTrompet, Stella1 aDörr, Marcus1 aFelix, Stephan, B1 aVölker, Uwe1 aWeiss, Stefan1 aHavulinna, Aki, S1 aJula, Antti1 aSääksjärvi, Katri1 aSalomaa, Veikko1 aGuo, Xiuqing1 aHeckbert, Susan, R1 aLin, Henry, J1 aRotter, Jerome, I1 aTaylor, Kent, D1 aYao, Jie1 ade Mutsert, Renée1 aMaan, Arie, C1 aMook-Kanamori, Dennis, O1 aNoordam, Raymond1 aCucca, Francesco1 aDing, Jun1 aLakatta, Edward, G1 aQian, Yong1 aTarasov, Kirill, V1 aLevy, Daniel1 aLin, Honghuang1 aNewton-Cheh, Christopher, H1 aLunetta, Kathryn, L1 aMurray, Alison, D1 aPorteous, David, J1 aSmith, Blair, H1 aStricker, Bruno, H1 aUitterlinden, Andre1 avan den Berg, Marten, E1 aHaessler, Jeffrey1 aJackson, Rebecca, D1 aKooperberg, Charles1 aPeters, Ulrike1 aReiner, Alexander, P1 aWhitsel, Eric, A1 aAlonso, Alvaro1 aArking, Dan, E1 aBoerwinkle, Eric1 aEhret, Georg, B1 aSoliman, Elsayed, Z1 aAvery, Christy, L1 aGogarten, Stephanie, M1 aKerr, Kathleen, F1 aLaurie, Cathy, C1 aSeyerle, Amanda, A1 aStilp, Adrienne1 aAssa, Solmaz1 aSaid, Abdullah1 avan der Ende, Yldau1 aLambiase, Pier, D1 aOrini, Michele1 aRamirez, Julia1 aVan Duijvenboden, Stefan1 aArnar, David, O1 aGudbjartsson, Daniel, F1 aHolm, Hilma1 aSulem, Patrick1 aThorleifsson, Gudmar1 aThorolfsdottir, Rosa, B1 aThorsteinsdottir, Unnur1 aBenjamin, Emelia, J1 aTinker, Andrew1 aStefansson, Kari1 aEllinor, Patrick, T1 aJamshidi, Yalda1 aLubitz, Steven, A1 aMunroe, Patricia, B uhttps://chs-nhlbi.org/node/836803828nas a2200625 4500008004100000022001400041245010800055210006900163260001500232300000800247490000700255520201900262100001902281700001502300700001702315700001702332700001502349700001402364700002002378700002402398700001702422700002402439700002002463700001602483700001302499700002102512700002202533700001802555700001902573700002102592700002002613700002202633700002202655700002002677700002002697700002302717700002502740700002402765700001902789700002502808700002202833700002602855700001902881700002002900700002202920700002102942700002202963700002702985700002103012700001803033700001903051710006503070710003103135856003603166 2021 eng d a1756-994X00aWhole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program.0 aWholegenome association analyses of sleepdisordered breathing ph c2021 08 26 a1360 v133 aBACKGROUND: Sleep-disordered breathing is a common disorder associated with significant morbidity. The genetic architecture of sleep-disordered breathing remains poorly understood. Through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, we performed the first whole-genome sequence analysis of sleep-disordered breathing.
METHODS: The study sample was comprised of 7988 individuals of diverse ancestry. Common-variant and pathway analyses included an additional 13,257 individuals. We examined five complementary traits describing different aspects of sleep-disordered breathing: the apnea-hypopnea index, average oxyhemoglobin desaturation per event, average and minimum oxyhemoglobin saturation across the sleep episode, and the percentage of sleep with oxyhemoglobin saturation < 90%. We adjusted for age, sex, BMI, study, and family structure using MMSKAT and EMMAX mixed linear model approaches. Additional bioinformatics analyses were performed with MetaXcan, GIGSEA, and ReMap.
RESULTS: We identified a multi-ethnic set-based rare-variant association (p = 3.48 × 10) on chromosome X with ARMCX3. Additional rare-variant associations include ARMCX3-AS1, MRPS33, and C16orf90. Novel common-variant loci were identified in the NRG1 and SLC45A2 regions, and previously associated loci in the IL18RAP and ATP2B4 regions were associated with novel phenotypes. Transcription factor binding site enrichment identified associations with genes implicated with respiratory and craniofacial traits. Additional analyses identified significantly associated pathways.
CONCLUSIONS: We have identified the first gene-based rare-variant associations with objectively measured sleep-disordered breathing traits. Our results increase the understanding of the genetic architecture of sleep-disordered breathing and highlight associations in genes that modulate lung development, inflammation, respiratory rhythmogenesis, and HIF1A-mediated hypoxic response.
1 aCade, Brian, E1 aLee, Jiwon1 aSofer, Tamar1 aWang, Heming1 aZhang, Man1 aChen, Han1 aGharib, Sina, A1 aGottlieb, Daniel, J1 aGuo, Xiuqing1 aLane, Jacqueline, M1 aLiang, Jingjing1 aLin, Xihong1 aMei, Hao1 aPatel, Sanjay, R1 aPurcell, Shaun, M1 aSaxena, Richa1 aShah, Neomi, A1 aEvans, Daniel, S1 aHanis, Craig, L1 aHillman, David, R1 aMukherjee, Sutapa1 aPalmer, Lyle, J1 aStone, Katie, L1 aTranah, Gregory, J1 aAbecasis, Goncalo, R1 aBoerwinkle, Eric, A1 aCorrea, Adolfo1 aCupples, Adrienne, L1 aKaplan, Robert, C1 aNickerson, Deborah, A1 aNorth, Kari, E1 aPsaty, Bruce, M1 aRotter, Jerome, I1 aRich, Stephen, S1 aTracy, Russell, P1 aVasan, Ramachandran, S1 aWilson, James, G1 aZhu, Xiaofeng1 aRedline, Susan1 aNHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium1 aTOPMed Sleep Working Group uhttps://chs-nhlbi.org/node/892003392nas a2200565 4500008004100000022001400041245014400055210006900199260001600268520170200284100002201986700002302008700002302031700001902054700002402073700002002097700001902117700001802136700002102154700002002175700003002195700002602225700002002251700002002271700002202291700002402313700002302337700002002360700002002380700002402400700002002424700002202444700001302466700002402479700002002503700001502523700002302538700002702561700001702588700001602605700002402621700002002645700002402665700002202689700002202711700002202733700001502755700002002770856003602790 2022 eng d a1573-728400aProteomics and Population Biology in the Cardiovascular Health Study (CHS): design of a study with mentored access and active data sharing.0 aProteomics and Population Biology in the Cardiovascular Health S c2022 Jul 053 aBACKGROUND: In the last decade, genomic studies have identified and replicated thousands of genetic associations with measures of health and disease and contributed to the understanding of the etiology of a variety of health conditions. Proteins are key biomarkers in clinical medicine and often drug-therapy targets. Like genomics, proteomics can advance our understanding of biology.
METHODS AND RESULTS: In the setting of the Cardiovascular Health Study (CHS), a cohort study of older adults, an aptamer-based method that has high sensitivity for low-abundance proteins was used to assay 4979 proteins in frozen, stored plasma from 3188 participants (61% women, mean age 74 years). CHS provides active support, including central analysis, for seven phenotype-specific working groups (WGs). Each CHS WG is led by one or two senior investigators and includes 10 to 20 early or mid-career scientists. In this setting of mentored access, the proteomic data and analytic methods are widely shared with the WGs and investigators so that they may evaluate associations between baseline levels of circulating proteins and the incidence of a variety of health outcomes in prospective cohort analyses. We describe the design of CHS, the CHS Proteomics Study, characteristics of participants, quality control measures, and structural characteristics of the data provided to CHS WGs. We additionally highlight plans for validation and replication of novel proteomic associations.
CONCLUSION: The CHS Proteomics Study offers an opportunity for collaborative data sharing to improve our understanding of the etiology of a variety of health conditions in older adults.
1 aAustin, Thomas, R1 aMcHugh, Caitlin, P1 aBrody, Jennifer, A1 aBis, Joshua, C1 aSitlani, Colleen, M1 aBartz, Traci, M1 aBiggs, Mary, L1 aBansal, Nisha1 aBůzková, Petra1 aCarr, Steven, A1 adeFilippi, Christopher, R1 aElkind, Mitchell, S V1 aFink, Howard, A1 aFloyd, James, S1 aFohner, Alison, E1 aGerszten, Robert, E1 aHeckbert, Susan, R1 aKatz, Daniel, H1 aKizer, Jorge, R1 aLemaitre, Rozenn, N1 aLongstreth, W T1 aMcKnight, Barbara1 aMei, Hao1 aMukamal, Kenneth, J1 aNewman, Anne, B1 aNgo, Debby1 aOdden, Michelle, C1 aVasan, Ramachandran, S1 aShojaie, Ali1 aSimon, Noah1 aSmith, George Davey1 aDavies, Neil, M1 aSiscovick, David, S1 aSotoodehnia, Nona1 aTracy, Russell, P1 aWiggins, Kerri, L1 aZheng, Jie1 aPsaty, Bruce, M uhttps://chs-nhlbi.org/node/908605138nas a2201357 4500008004100000022001400041245012700055210006900182260001600251300000900267490000700276520124600283653002501529653002701554653001501581653002801596653002401624653003401648653001101682653001701693100002201710700002201732700002601754700001901780700001301799700001801812700002201830700001901852700002001871700002901891700002701920700002401947700001801971700001601989700002202005700001302027700002102040700002002061700001902081700002602100700002402126700001902150700002702169700002002196700002602216700002202242700001902264700002302283700002102306700001902327700001902346700002102365700002702386700002402413700002702437700001502464700002302479700001702502700001902519700002302538700002402561700001702585700003202602700002102634700002502655700002402680700001702704700002302721700002602744700002502770700001802795700002102813700001402834700002402848700002402872700001802896700002902914700001902943700002502962700001802987700002103005700002103026700002203047700001903069700002203088700001703110700002103127700001803148700002203166700001903188700002903207700002803236700002503264700002003289700002203309700002903331700002203360700002303382700001503405700002303420700001803443700002103461700001903482700002203501700001803523700002403541700001803565700002103583700002403604700002203628700002003650700002203670700002803692700002403720856003603744 2023 eng d a2041-172300aGenetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease.0 aGenetic architecture of spatial electrical biomarkers for cardia c2023 Mar 14 a14110 v143 aThe 3-dimensional spatial and 2-dimensional frontal QRS-T angles are measures derived from the vectorcardiogram. They are independent risk predictors for arrhythmia, but the underlying biology is unknown. Using multi-ancestry genome-wide association studies we identify 61 (58 previously unreported) loci for the spatial QRS-T angle (N = 118,780) and 11 for the frontal QRS-T angle (N = 159,715). Seven out of the 61 spatial QRS-T angle loci have not been reported for other electrocardiographic measures. Enrichments are observed in pathways related to cardiac and vascular development, muscle contraction, and hypertrophy. Pairwise genome-wide association studies with classical ECG traits identify shared genetic influences with PR interval and QRS duration. Phenome-wide scanning indicate associations with atrial fibrillation, atrioventricular block and arterial embolism and genetically determined QRS-T angle measures are associated with fascicular and bundle branch block (and also atrioventricular block for the frontal QRS-T angle). We identify potential biology involved in the QRS-T angle and their genetic relationships with cardiovascular traits and diseases, may inform future research and risk prediction.
10aArrhythmias, Cardiac10aAtrioventricular Block10aBiomarkers10aCardiovascular Diseases10aElectrocardiography10aGenome-Wide Association Study10aHumans10aRisk Factors1 aYoung, William, J1 aHaessler, Jeffrey1 aBenjamins, Jan-Walter1 aRepetto, Linda1 aYao, Jie1 aIsaacs, Aaron1 aHarper, Andrew, R1 aRamirez, Julia1 aGarnier, Sophie1 aVan Duijvenboden, Stefan1 aBaldassari, Antoine, R1 aConcas, Maria, Pina1 aDuong, ThuyVy1 aFoco, Luisa1 aIsaksen, Jonas, L1 aMei, Hao1 aNoordam, Raymond1 aNursyifa, Casia1 aRichmond, Anne1 aSantolalla, Meddly, L1 aSitlani, Colleen, M1 aSoroush, Negin1 aThériault, Sébastien1 aTrompet, Stella1 aAeschbacher, Stefanie1 aAhmadizar, Fariba1 aAlonso, Alvaro1 aBrody, Jennifer, A1 aCampbell, Archie1 aCorrea, Adolfo1 aDarbar, Dawood1 aDe Luca, Antonio1 aDeleuze, Jean-Francois1 aEllervik, Christina1 aFuchsberger, Christian1 aGoel, Anuj1 aGrace, Christopher1 aGuo, Xiuqing1 aHansen, Torben1 aHeckbert, Susan, R1 aJackson, Rebecca, D1 aKors, Jan, A1 aLima-Costa, Maria, Fernanda1 aLinneberg, Allan1 aMacfarlane, Peter, W1 aMorrison, Alanna, C1 aNavarro, Pau1 aPorteous, David, J1 aPramstaller, Peter, P1 aReiner, Alexander, P1 aRisch, Lorenz1 aSchotten, Ulrich1 aShen, Xia1 aSinagra, Gianfranco1 aSoliman, Elsayed, Z1 aStoll, Monika1 aTarazona-Santos, Eduardo1 aTinker, Andrew1 aTrajanoska, Katerina1 aVillard, Eric1 aWarren, Helen, R1 aWhitsel, Eric, A1 aWiggins, Kerri, L1 aArking, Dan, E1 aAvery, Christy, L1 aConen, David1 aGirotto, Giorgia1 aGrarup, Niels1 aHayward, Caroline1 aJukema, Wouter1 aMook-Kanamori, Dennis, O1 aOlesen, Morten, Salling1 aPadmanabhan, Sandosh1 aPsaty, Bruce, M1 aPattaro, Cristian1 aRibeiro, Antonio, Luiz P1 aRotter, Jerome, I1 aStricker, Bruno, H1 aHarst, Pim1 aDuijn, Cornelia, M1 aVerweij, Niek1 aWilson, James, G1 aOrini, Michele1 aCharron, Philippe1 aWatkins, Hugh1 aKooperberg, Charles1 aLin, Henry, J1 aWilson, James, F1 aKanters, Jørgen, K1 aSotoodehnia, Nona1 aMifsud, Borbala1 aLambiase, Pier, D1 aTereshchenko, Larisa, G1 aMunroe, Patricia, B uhttps://chs-nhlbi.org/node/932204874nas a2201033 4500008004100000022001400041245014100055210006900196260001600265300000700281490000700288520197200295653000902267653001402276653003402290653001102324653001102335653001402346653001502360653003602375100001302411700002202424700001502446700001502461700001902476700001702495700001602512700001702528700002402545700001602569700001602585700002302601700001702624700002102641700002502662700002102687700001802708700002302726700002202749700002702771700002002798700002002818700001402838700002602852700001902878700002302897700002202920700001802942700002302960700002102983700001803004700002203022700001903044700001903063700002703082700002603109700002203135700001603157700001903173700002403192700002203216700002503238700002203263700001903285700002303304700001803327700002003345700002103365700002303386700002403409700002603433700002303459700002203482700002103504700002303525700002403548700001903572700002203591700002003613700001803633700002303651700001903674700002803693700002003721700001803741700002303759700002203782856003603804 2024 eng d a1758-919300aMulti-omics and pathway analyses of genome-wide associations implicate regulation and immunity in verbal declarative memory performance.0 aMultiomics and pathway analyses of genomewide associations impli c2024 Jan 20 a140 v163 aBACKGROUND: Uncovering the functional relevance underlying verbal declarative memory (VDM) genome-wide association study (GWAS) results may facilitate the development of interventions to reduce age-related memory decline and dementia.
METHODS: We performed multi-omics and pathway enrichment analyses of paragraph (PAR-dr) and word list (WL-dr) delayed recall GWAS from 29,076 older non-demented individuals of European descent. We assessed the relationship between single-variant associations and expression quantitative trait loci (eQTLs) in 44 tissues and methylation quantitative trait loci (meQTLs) in the hippocampus. We determined the relationship between gene associations and transcript levels in 53 tissues, annotation as immune genes, and regulation by transcription factors (TFs) and microRNAs. To identify significant pathways, gene set enrichment was tested in each cohort and meta-analyzed across cohorts. Analyses of differential expression in brain tissues were conducted for pathway component genes.
RESULTS: The single-variant associations of VDM showed significant linkage disequilibrium (LD) with eQTLs across all tissues and meQTLs within the hippocampus. Stronger WL-dr gene associations correlated with reduced expression in four brain tissues, including the hippocampus. More robust PAR-dr and/or WL-dr gene associations were intricately linked with immunity and were influenced by 31 TFs and 2 microRNAs. Six pathways, including type I diabetes, exhibited significant associations with both PAR-dr and WL-dr. These pathways included fifteen MHC genes intricately linked to VDM performance, showing diverse expression patterns based on cognitive status in brain tissues.
CONCLUSIONS: VDM genetic associations influence expression regulation via eQTLs and meQTLs. The involvement of TFs, microRNAs, MHC genes, and immune-related pathways contributes to VDM performance in older individuals.
10aAged10aCognition10aGenome-Wide Association Study10aHumans10aMemory10aMicroRNAs10aMultiomics10aPolymorphism, Single Nucleotide1 aMei, Hao1 aSimino, Jeannette1 aLi, Lianna1 aJiang, Fan1 aBis, Joshua, C1 aDavies, Gail1 aHill, David1 aXia, Charley1 aGudnason, Vilmundur1 aYang, Qiong1 aLahti, Jari1 aSmith, Jennifer, A1 aKirin, Mirna1 aDe Jager, Philip1 aArmstrong, Nicola, J1 aGhanbari, Mohsen1 aKolcic, Ivana1 aMoran, Christopher1 aTeumer, Alexander1 aSargurupremraj, Murali1 aMahmud, Shamsed1 aFornage, Myriam1 aZhao, Wei1 aSatizabal, Claudia, L1 aPolasek, Ozren1 aRäikkönen, Katri1 aLiewald, David, C1 aHomuth, Georg1 aCallisaya, Michele1 aMather, Karen, A1 aWindham, Gwen1 aZemunik, Tatijana1 aPalotie, Aarno1 aPattie, Alison1 avan der Auwera, Sandra1 aThalamuthu, Anbupalam1 aKnopman, David, S1 aRudan, Igor1 aStarr, John, M1 aWittfeld, Katharina1 aKochan, Nicole, A1 aGriswold, Michael, E1 aVitart, Veronique1 aBrodaty, Henry1 aGottesman, Rebecca1 aCox, Simon, R1 aPsaty, Bruce, M1 aBoerwinkle, Eric1 aChasman, Daniel, I1 aGrodstein, Francine1 aSachdev, Perminder, S1 aSrikanth, Velandai1 aHayward, Caroline1 aWilson, James, F1 aEriksson, Johan, G1 aKardia, Sharon, L R1 aGrabe, Hans, J1 aBennett, David, A1 aIkram, Arfan, M1 aDeary, Ian, J1 aDuijn, Cornelia, M1 aLauner, Lenore1 aFitzpatrick, Annette, L1 aSeshadri, Sudha1 aBressler, Jan1 aDebette, Stephanie1 aMosley, Thomas, H uhttps://chs-nhlbi.org/node/9578