03970nas a2200877 4500008004100000022001400041245011500055210006900170260001600239300001000255490000700265520145800272653001901730653003401749653001101783653002501794653001401819653003601833653002801869100002201897700002301919700002201942700001701964700002201981700001902003700001702022700002102039700001802060700001502078700001702093700001902110700002002129700002702149700002302176700001802199700002402217700001702241700002002258700002702278700002902305700002202334700001602356700002202372700001502394700002202409700001302431700002002444700002402464700002302488700002202511700001902533700001202552700002102564700002202585700001402607700002102621700002402642700001302666700002802679700002602707700001902733700002302752700002102775700001402796700003002810700002402840700002402864700001902888700002002907700002002927700001702947700002002964700002602984710004603010856003603056 2014 eng d a1537-660500aEffects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations.0 aEffects of longterm averaging of quantitative blood pressure tra c2014 Jul 03 a49-650 v953 a
Blood pressure (BP) is a heritable, quantitative trait with intraindividual variability and susceptibility to measurement error. Genetic studies of BP generally use single-visit measurements and thus cannot remove variability occurring over months or years. We leveraged the idea that averaging BP measured across time would improve phenotypic accuracy and thereby increase statistical power to detect genetic associations. We studied systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP) averaged over multiple years in 46,629 individuals of European ancestry. We identified 39 trait-variant associations across 19 independent loci (p < 5 × 10(-8)); five associations (in four loci) uniquely identified by our LTA analyses included those of SBP and MAP at 2p23 (rs1275988, near KCNK3), DBP at 2q11.2 (rs7599598, in FER1L5), and PP at 6p21 (rs10948071, near CRIP3) and 7p13 (rs2949837, near IGFBP3). Replication analyses conducted in cohorts with single-visit BP data showed positive replication of associations and a nominal association (p < 0.05). We estimated a 20% gain in statistical power with long-term average (LTA) as compared to single-visit BP association studies. Using LTA analysis, we identified genetic loci influencing BP. LTA might be one way of increasing the power of genetic associations for continuous traits in extant samples for other phenotypes that are measured serially over time.
10aBlood Pressure10aGenome-Wide Association Study10aHumans10aLongitudinal Studies10aPhenotype10aPolymorphism, Single Nucleotide10aQuantitative Trait Loci1 aGanesh, Santhi, K1 aChasman, Daniel, I1 aLarson, Martin, G1 aGuo, Xiuqing1 aVerwoert, Germain1 aBis, Joshua, C1 aGu, Xiangjun1 aSmith, Albert, V1 aYang, Min-Lee1 aZhang, Yan1 aEhret, Georg1 aRose, Lynda, M1 aHwang, Shih-Jen1 aPapanicolau, George, J1 aSijbrands, Eric, J1 aRice, Kenneth1 aEiriksdottir, Gudny1 aPihur, Vasyl1 aRidker, Paul, M1 aVasan, Ramachandran, S1 aNewton-Cheh, Christopher1 aRaffel, Leslie, J1 aAmin, Najaf1 aRotter, Jerome, I1 aLiu, Kiang1 aLauner, Lenore, J1 aXu, Ming1 aCaulfield, Mark1 aMorrison, Alanna, C1 aJohnson, Andrew, D1 aVaidya, Dhananjay1 aDehghan, Abbas1 aLi, Guo1 aBouchard, Claude1 aHarris, Tamara, B1 aZhang, He1 aBoerwinkle, Eric1 aSiscovick, David, S1 aGao, Wei1 aUitterlinden, André, G1 aRivadeneira, Fernando1 aHofman, Albert1 aWiller, Cristen, J1 aFranco, Oscar, H1 aHuo, Yong1 aWitteman, Jacqueline, C M1 aMunroe, Patricia, B1 aGudnason, Vilmundur1 aPalmas, Walter1 aDuijn, Cornelia1 aFornage, Myriam1 aLevy, Daniel1 aPsaty, Bruce, M1 aChakravarti, Aravinda1 aGlobal Blood Pressure Genetics Consortium uhttps://chs-nhlbi.org/node/656305734nas a2201333 4500008004100000022001400041245007800055210006900133260001500202300001000217490000800227520196900235653003902204653002502243653002102268653004002289653001002329653001302339653001702352653001102369653001002380653001302390653001702403653002702420653001802447110010402465700001702569700002002586700001802606700002302624700002402647700002102671700001802692700002202710700001402732700001802746700002002764700002302784700002202807700001202829700001302841700001402854700002002868700001602888700001502904700002002919700001802939700002802957700002102985700002203006700002303028700002303051700001203074700001903086700002503105700002103130700002003151700002303171700001803194700002303212700002903235700002303264700002303287700001903310700002003329700001903349700001903368700002203387700002403409700002403433700002303457700002203480700001703502700002203519700002003541700001903561700001903580700002003599700001903619700002603638700002003664700002403684700003003708700002003738700002803758700002203786700002103808700001903829700001803848700002503866700002103891700002003912700002003932700002303952700002203975700002203997700002204019700002004041700002404061700002104085700002404106700002104130700002204151700001604173700002104189700002004210700002604230700002004256700002504276700002004301700002104321700002204342856003604364 2014 eng d a1533-440600aLoss-of-function mutations in APOC3, triglycerides, and coronary disease.0 aLossoffunction mutations in APOC3 triglycerides and coronary dis c2014 Jul 3 a22-310 v3713 aBACKGROUND: Plasma triglyceride levels are heritable and are correlated with the risk of coronary heart disease. Sequencing of the protein-coding regions of the human genome (the exome) has the potential to identify rare mutations that have a large effect on phenotype.
METHODS: We sequenced the protein-coding regions of 18,666 genes in each of 3734 participants of European or African ancestry in the Exome Sequencing Project. We conducted tests to determine whether rare mutations in coding sequence, individually or in aggregate within a gene, were associated with plasma triglyceride levels. For mutations associated with triglyceride levels, we subsequently evaluated their association with the risk of coronary heart disease in 110,970 persons.
RESULTS: An aggregate of rare mutations in the gene encoding apolipoprotein C3 (APOC3) was associated with lower plasma triglyceride levels. Among the four mutations that drove this result, three were loss-of-function mutations: a nonsense mutation (R19X) and two splice-site mutations (IVS2+1G→A and IVS3+1G→T). The fourth was a missense mutation (A43T). Approximately 1 in 150 persons in the study was a heterozygous carrier of at least one of these four mutations. Triglyceride levels in the carriers were 39% lower than levels in noncarriers (P<1×10(-20)), and circulating levels of APOC3 in carriers were 46% lower than levels in noncarriers (P=8×10(-10)). The risk of coronary heart disease among 498 carriers of any rare APOC3 mutation was 40% lower than the risk among 110,472 noncarriers (odds ratio, 0.60; 95% confidence interval, 0.47 to 0.75; P=4×10(-6)).
CONCLUSIONS: Rare mutations that disrupt APOC3 function were associated with lower levels of plasma triglycerides and APOC3. Carriers of these mutations were found to have a reduced risk of coronary heart disease. (Funded by the National Heart, Lung, and Blood Institute and others.).
10aAfrican Continental Ancestry Group10aApolipoprotein C-III10aCoronary Disease10aEuropean Continental Ancestry Group10aExome10aGenotype10aHeterozygote10aHumans10aLiver10aMutation10aRisk Factors10aSequence Analysis, DNA10aTriglycerides1 aTG and HDL Working Group of the Exome Sequencing Project, National Heart, Lung, and Blood Institute1 aCrosby, Jacy1 aPeloso, Gina, M1 aAuer, Paul, L1 aCrosslin, David, R1 aStitziel, Nathan, O1 aLange, Leslie, A1 aLu, Yingchang1 aTang, Zheng-Zheng1 aZhang, He1 aHindy, George1 aMasca, Nicholas1 aStirrups, Kathleen1 aKanoni, Stavroula1 aDo, Ron1 aJun, Goo1 aHu, Youna1 aKang, Hyun, Min1 aXue, Chenyi1 aGoel, Anuj1 aFarrall, Martin1 aDuga, Stefano1 aMerlini, Pier, Angelica1 aAsselta, Rosanna1 aGirelli, Domenico1 aOlivieri, Oliviero1 aMartinelli, Nicola1 aYin, Wu1 aReilly, Dermot1 aSpeliotes, Elizabeth1 aFox, Caroline, S1 aHveem, Kristian1 aHolmen, Oddgeir, L1 aNikpay, Majid1 aFarlow, Deborah, N1 aAssimes, Themistocles, L1 aFranceschini, Nora1 aRobinson, Jennifer1 aNorth, Kari, E1 aMartin, Lisa, W1 aDePristo, Mark1 aGupta, Namrata1 aEscher, Stefan, A1 aJansson, Jan-Håkan1 aVan Zuydam, Natalie1 aPalmer, Colin, N A1 aWareham, Nicholas1 aKoch, Werner1 aMeitinger, Thomas1 aPeters, Annette1 aLieb, Wolfgang1 aErbel, Raimund1 aKönig, Inke, R1 aKruppa, Jochen1 aDegenhardt, Franziska1 aGottesman, Omri1 aBottinger, Erwin, P1 aO'Donnell, Christopher, J1 aPsaty, Bruce, M1 aBallantyne, Christie, M1 aAbecasis, Goncalo1 aOrdovas, Jose, M1 aMelander, Olle1 aWatkins, Hugh1 aOrho-Melander, Marju1 aArdissino, Diego1 aLoos, Ruth, J F1 aMcPherson, Ruth1 aWiller, Cristen, J1 aErdmann, Jeanette1 aHall, Alistair, S1 aSamani, Nilesh, J1 aDeloukas, Panos1 aSchunkert, Heribert1 aWilson, James, G1 aKooperberg, Charles1 aRich, Stephen, S1 aTracy, Russell, P1 aLin, Dan-Yu1 aAltshuler, David1 aGabriel, Stacey1 aNickerson, Deborah, A1 aJarvik, Gail, P1 aCupples, Adrienne, L1 aReiner, Alex, P1 aBoerwinkle, Eric1 aKathiresan, Sekar uhttps://chs-nhlbi.org/node/660505955nas a2201657 4500008004100000022001400041245011000055210006900165260001600234300001100250490000700261520138800268653001001656653000901666653002201675653002101697653001901718653001801737653001001755653001101765653002201776653001901798653001701817653003401834653001301868653001101881653001101892653000901903653001601912653001401928653003601942653002801978653002702006653001902033653002702052653002602079100002102105700001402126700001402140700001602154700002202170700002202192700001702214700002002231700002102251700002102272700001302293700002002306700001702326700001502343700001702358700002002375700001402395700002702409700001802436700002202454700001602476700001902492700001702511700002102528700002302549700002002572700001802592700002202610700001802632700001502650700001202665700001702677700001502694700001802709700001902727700001902746700001902765700002502784700002602809700002102835700002502856700002102881700001902902700002502921700001702946700002502963700001202988700002303000700002003023700002603043700002903069700002303098700002803121700001803149700002003167700002303187700002103210700001903231700001803250700002803268700001903296700002403315700002303339700002803362700001703390700002203407700002203429700002403451700002403475700002003499700002303519700002203542700001603564700001703580700002403597700002003621700001803641700002003659700002103679700001603700700001903716700002203735700002803757700002303785700003003808700001903838700001903857700002503876700002103901700002003922700002103942700002203963700001603985700002004001700002504021700002404046700002104070700002604091700002504117700002104142700002204163700002304185710005304208856003604261 2014 eng d a1537-660500aWhole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol.0 aWholeexome sequencing identifies rare and lowfrequency coding va c2014 Feb 06 a233-450 v943 aElevated low-density lipoprotein cholesterol (LDL-C) is a treatable, heritable risk factor for cardiovascular disease. Genome-wide association studies (GWASs) have identified 157 variants associated with lipid levels but are not well suited to assess the impact of rare and low-frequency variants. To determine whether rare or low-frequency coding variants are associated with LDL-C, we exome sequenced 2,005 individuals, including 554 individuals selected for extreme LDL-C (>98(th) or <2(nd) percentile). Follow-up analyses included sequencing of 1,302 additional individuals and genotype-based analysis of 52,221 individuals. We observed significant evidence of association between LDL-C and the burden of rare or low-frequency variants in PNPLA5, encoding a phospholipase-domain-containing protein, and both known and previously unidentified variants in PCSK9, LDLR and APOB, three known lipid-related genes. The effect sizes for the burden of rare variants for each associated gene were substantially higher than those observed for individual SNPs identified from GWASs. We replicated the PNPLA5 signal in an independent large-scale sequencing study of 2,084 individuals. In conclusion, this large whole-exome-sequencing study for LDL-C identified a gene not known to be implicated in LDL-C and provides unique insight into the design and analysis of similar experiments.
10aAdult10aAged10aApolipoproteins E10aCholesterol, LDL10aCohort Studies10aDyslipidemias10aExome10aFemale10aFollow-Up Studies10aGene Frequency10aGenetic Code10aGenome-Wide Association Study10aGenotype10aHumans10aLipase10aMale10aMiddle Aged10aPhenotype10aPolymorphism, Single Nucleotide10aProprotein Convertase 910aProprotein Convertases10aReceptors, LDL10aSequence Analysis, DNA10aSerine Endopeptidases1 aLange, Leslie, A1 aHu, Youna1 aZhang, He1 aXue, Chenyi1 aSchmidt, Ellen, M1 aTang, Zheng-Zheng1 aBizon, Chris1 aLange, Ethan, M1 aSmith, Joshua, D1 aTurner, Emily, H1 aJun, Goo1 aKang, Hyun, Min1 aPeloso, Gina1 aAuer, Paul1 aLi, Kuo-Ping1 aFlannick, Jason1 aZhang, Ji1 aFuchsberger, Christian1 aGaulton, Kyle1 aLindgren, Cecilia1 aLocke, Adam1 aManning, Alisa1 aSim, Xueling1 aRivas, Manuel, A1 aHolmen, Oddgeir, L1 aGottesman, Omri1 aLu, Yingchang1 aRuderfer, Douglas1 aStahl, Eli, A1 aDuan, Qing1 aLi, Yun1 aDurda, Peter1 aJiao, Shuo1 aIsaacs, Aaron1 aHofman, Albert1 aBis, Joshua, C1 aCorrea, Adolfo1 aGriswold, Michael, E1 aJakobsdottir, Johanna1 aSmith, Albert, V1 aSchreiner, Pamela, J1 aFeitosa, Mary, F1 aZhang, Qunyuan1 aHuffman, Jennifer, E1 aCrosby, Jacy1 aWassel, Christina, L1 aDo, Ron1 aFranceschini, Nora1 aMartin, Lisa, W1 aRobinson, Jennifer, G1 aAssimes, Themistocles, L1 aCrosslin, David, R1 aRosenthal, Elisabeth, A1 aTsai, Michael1 aRieder, Mark, J1 aFarlow, Deborah, N1 aFolsom, Aaron, R1 aLumley, Thomas1 aFox, Ervin, R1 aCarlson, Christopher, S1 aPeters, Ulrike1 aJackson, Rebecca, D1 aDuijn, Cornelia, M1 aUitterlinden, André, G1 aLevy, Daniel1 aRotter, Jerome, I1 aTaylor, Herman, A1 aGudnason, Vilmundur1 aSiscovick, David, S1 aFornage, Myriam1 aBorecki, Ingrid, B1 aHayward, Caroline1 aRudan, Igor1 aChen, Eugene1 aBottinger, Erwin, P1 aLoos, Ruth, J F1 aSætrom, Pål1 aHveem, Kristian1 aBoehnke, Michael1 aGroop, Leif1 aMcCarthy, Mark1 aMeitinger, Thomas1 aBallantyne, Christie, M1 aGabriel, Stacey, B1 aO'Donnell, Christopher, J1 aPost, Wendy, S1 aNorth, Kari, E1 aReiner, Alexander, P1 aBoerwinkle, Eric1 aPsaty, Bruce, M1 aAltshuler, David1 aKathiresan, Sekar1 aLin, Dan-Yu1 aJarvik, Gail, P1 aCupples, Adrienne, L1 aKooperberg, Charles1 aWilson, James, G1 aNickerson, Deborah, A1 aAbecasis, Goncalo, R1 aRich, Stephen, S1 aTracy, Russell, P1 aWiller, Cristen, J1 aNHLBI Grand Opportunity Exome Sequencing Project uhttps://chs-nhlbi.org/node/657709668nas a2203061 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2017 eng d a1546-171800aExome-wide association study of plasma lipids in >300,000 individuals.0 aExomewide association study of plasma lipids in 300000 individua c2017 Dec a1758-17660 v493 aWe screened variants on an exome-focused genotyping array in >300,000 participants (replication in >280,000 participants) and identified 444 independent variants in 250 loci significantly associated with total cholesterol (TC), high-density-lipoprotein cholesterol (HDL-C), low-density-lipoprotein cholesterol (LDL-C), and/or triglycerides (TG). At two loci (JAK2 and A1CF), experimental analysis in mice showed lipid changes consistent with the human data. We also found that: (i) beta-thalassemia trait carriers displayed lower TC and were protected from coronary artery disease (CAD); (ii) excluding the CETP locus, there was not a predictable relationship between plasma HDL-C and risk for age-related macular degeneration; (iii) only some mechanisms of lowering LDL-C appeared to increase risk for type 2 diabetes (T2D); and (iv) TG-lowering alleles involved in hepatic production of TG-rich lipoproteins (TM6SF2 and PNPLA3) tracked with higher liver fat, higher risk for T2D, and lower risk for CAD, whereas TG-lowering alleles involved in peripheral lipolysis (LPL and ANGPTL4) had no effect on liver fat but decreased risks for both T2D and CAD.
10aCoronary Artery Disease10aDiabetes Mellitus, Type 210aExome10aGenetic Association Studies10aGenetic Predisposition to Disease10aGenetic Variation10aGenotype10aHumans10aLipids10aMacular Degeneration10aPhenotype10aRisk Factors1 aLiu, Dajiang, J1 aPeloso, Gina, M1 aYu, Haojie1 aButterworth, Adam, S1 aWang, Xiao1 aMahajan, Anubha1 aSaleheen, Danish1 aEmdin, Connor1 aAlam, Dewan1 aAlves, Alexessander, Couto1 aAmouyel, Philippe1 aDi Angelantonio, Emanuele1 aArveiler, Dominique1 aAssimes, Themistocles, L1 aAuer, Paul, L1 aBaber, Usman1 aBallantyne, Christie, M1 aBang, Lia, E1 aBenn, Marianne1 aBis, Joshua, C1 aBoehnke, Michael1 aBoerwinkle, Eric1 aBork-Jensen, Jette1 aBottinger, Erwin, P1 aBrandslund, Ivan1 aBrown, Morris1 aBusonero, Fabio1 aCaulfield, Mark, J1 aChambers, John, C1 aChasman, Daniel, I1 aChen, Eugene1 aChen, Yii-Der Ida1 aChowdhury, Raj1 aChristensen, Cramer1 aChu, Audrey, Y1 aConnell, John, M1 aCucca, Francesco1 aCupples, Adrienne, L1 aDamrauer, Scott, M1 aDavies, Gail1 aDeary, Ian, J1 aDedoussis, George1 aDenny, Joshua, C1 aDominiczak, Anna1 aDubé, Marie-Pierre1 aEbeling, Tapani1 aEiriksdottir, Gudny1 aEsko, Tõnu1 aFarmaki, Aliki-Eleni1 aFeitosa, Mary, F1 aFerrario, Marco1 aFerrieres, Jean1 aFord, Ian1 aFornage, Myriam1 aFranks, Paul, W1 aFrayling, Timothy, M1 aFrikke-Schmidt, Ruth1 aFritsche, Lars, G1 aFrossard, Philippe1 aFuster, Valentin1 aGanesh, Santhi, K1 aGao, Wei1 aGarcia, Melissa, E1 aGieger, Christian1 aGiulianini, Franco1 aGoodarzi, Mark, O1 aGrallert, Harald1 aGrarup, Niels1 aGroop, Leif1 aGrove, Megan, L1 aGudnason, Vilmundur1 aHansen, Torben1 aHarris, Tamara, B1 aHayward, Caroline1 aHirschhorn, Joel, N1 aHolmen, Oddgeir, L1 aHuffman, Jennifer1 aHuo, Yong1 aHveem, Kristian1 aJabeen, Sehrish1 aJackson, Anne, U1 aJakobsdottir, Johanna1 aJarvelin, Marjo-Riitta1 aJensen, Gorm, B1 aJørgensen, Marit, E1 aJukema, Wouter1 aJustesen, Johanne, M1 aKamstrup, Pia, R1 aKanoni, Stavroula1 aKarpe, Fredrik1 aKee, Frank1 aKhera, Amit, V1 aKlarin, Derek1 aKoistinen, Heikki, A1 aKooner, Jaspal, S1 aKooperberg, Charles1 aKuulasmaa, Kari1 aKuusisto, Johanna1 aLaakso, Markku1 aLakka, Timo1 aLangenberg, Claudia1 aLangsted, Anne1 aLauner, Lenore, J1 aLauritzen, Torsten1 aLiewald, David, C M1 aLin, Li, An1 aLinneberg, Allan1 aLoos, Ruth, J F1 aLu, Yingchang1 aLu, Xiangfeng1 aMägi, Reedik1 aMälarstig, Anders1 aManichaikul, Ani1 aManning, Alisa, K1 aMäntyselkä, Pekka1 aMarouli, Eirini1 aMasca, Nicholas, G D1 aMaschio, Andrea1 aMeigs, James, B1 aMelander, Olle1 aMetspalu, Andres1 aMorris, Andrew, P1 aMorrison, Alanna, C1 aMulas, Antonella1 aMüller-Nurasyid, Martina1 aMunroe, Patricia, B1 aNeville, Matt, J1 aNielsen, Jonas, B1 aNielsen, Sune, F1 aNordestgaard, Børge, G1 aOrdovas, Jose, M1 aMehran, Roxana1 aO'Donnell, Christoper, J1 aOrho-Melander, Marju1 aMolony, Cliona, M1 aMuntendam, Pieter1 aPadmanabhan, Sandosh1 aPalmer, Colin, N A1 aPasko, Dorota1 aPatel, Aniruddh, P1 aPedersen, Oluf1 aPerola, Markus1 aPeters, Annette1 aPisinger, Charlotta1 aPistis, Giorgio1 aPolasek, Ozren1 aPoulter, Neil1 aPsaty, Bruce, M1 aRader, Daniel, J1 aRasheed, Asif1 aRauramaa, Rainer1 aReilly, Dermot, F1 aReiner, Alex, P1 aRenstrom, Frida1 aRich, Stephen, S1 aRidker, Paul, M1 aRioux, John, D1 aRobertson, Neil, R1 aRoden, Dan, M1 aRotter, Jerome, I1 aRudan, Igor1 aSalomaa, Veikko1 aSamani, Nilesh, J1 aSanna, Serena1 aSattar, Naveed1 aSchmidt, Ellen, M1 aScott, Robert, A1 aSever, Peter1 aSevilla, Raquel, S1 aShaffer, Christian, M1 aSim, Xueling1 aSivapalaratnam, Suthesh1 aSmall, Kerrin, S1 aSmith, Albert, V1 aSmith, Blair, H1 aSomayajula, Sangeetha1 aSoutham, Lorraine1 aSpector, Timothy, D1 aSpeliotes, Elizabeth, K1 aStarr, John, M1 aStirrups, Kathleen, E1 aStitziel, Nathan1 aStrauch, Konstantin1 aStringham, Heather, M1 aSurendran, Praveen1 aTada, Hayato1 aTall, Alan, R1 aTang, Hua1 aTardif, Jean-Claude1 aTaylor, Kent, D1 aTrompet, Stella1 aTsao, Philip, S1 aTuomilehto, Jaakko1 aTybjaerg-Hansen, Anne1 avan Zuydam, Natalie, R1 aVarbo, Anette1 aVarga, Tibor, V1 aVirtamo, Jarmo1 aWaldenberger, Melanie1 aWang, Nan1 aWareham, Nick, J1 aWarren, Helen, R1 aWeeke, Peter, E1 aWeinstock, Joshua1 aWessel, Jennifer1 aWilson, James, G1 aWilson, Peter, W F1 aXu, Ming1 aYaghootkar, Hanieh1 aYoung, Robin1 aZeggini, Eleftheria1 aZhang, He1 aZheng, Neil, S1 aZhang, Weihua1 aZhang, Yan1 aZhou, Wei1 aZhou, Yanhua1 aZoledziewska, Magdalena1 aHowson, Joanna, M M1 aDanesh, John1 aMcCarthy, Mark, I1 aCowan, Chad, A1 aAbecasis, Goncalo1 aDeloukas, Panos1 aMusunuru, Kiran1 aWiller, Cristen, J1 aKathiresan, Sekar1 aCharge Diabetes Working Group1 aEPIC-InterAct Consortium1 aEPIC-CVD Consortium1 aGOLD Consortium1 aVA Million Veteran Program uhttps://chs-nhlbi.org/node/757307019nas a2201849 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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/7569