05870nas a2201489 4500008004100000022001400041245013500055210006900190260001600259300001000275490000700285520175700292653001502049653001002064653001602074653000902090653001902099653001902118653001102137653001602148653001602164100002202180700001402202700001902216700002302235700002002258700001702278700001702295700002002312700002002332700002102352700002602373700003102399700001702430700001502447700002002462700001802482700002302500700001502523700001802538700002202556700002602578700001802604700002802622700001902650700001702669700001702686700002702703700001802730700001902748700001602767700002102783700002102804700001902825700002402844700002002868700002102888700002202909700002202931700002002953700001902973700001902992700002303011700002003034700001803054700002103072700002203093700002203115700001203137700001703149700001503166700002403181700001803205700002303223700002703246700002303273700002003296700002203316700002303338700001803361700002603379700001903405700001803424700002103442700002403463700002103487700002803508700002203536700003003558700002703588700003203615700001703647700001903664700001803683700002003701700001403721700002103735700002003756700002603776700001603802700002303818700002203841700002003863700001703883700002003900700002003920700001903940700002003959700001903979700001803998700001504016700002504031700002004056700002004076700002004096700002404116700001704140700001904157700002004176700002204196700002304218700003004241700002604271700002004297710002704317856003604344 2014 eng d a1537-660500aGene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia.0 aGeneage interactions in blood pressure regulation a largescale i c2014 Jul 03 a24-380 v953 a
Although age-dependent effects on blood pressure (BP) have been reported, they have not been systematically investigated in large-scale genome-wide association studies (GWASs). We leveraged the infrastructure of three well-established consortia (CHARGE, GBPgen, and ICBP) and a nonstandard approach (age stratification and metaregression) to conduct a genome-wide search of common variants with age-dependent effects on systolic (SBP), diastolic (DBP), mean arterial (MAP), and pulse (PP) pressure. In a two-staged design using 99,241 individuals of European ancestry, we identified 20 genome-wide significant (p ≤ 5 × 10(-8)) loci by using joint tests of the SNP main effect and SNP-age interaction. Nine of the significant loci demonstrated nominal evidence of age-dependent effects on BP by tests of the interactions alone. Index SNPs in the EHBP1L1 (DBP and MAP), CASZ1 (SBP and MAP), and GOSR2 (PP) loci exhibited the largest age interactions, with opposite directions of effect in the young versus the old. The changes in the genetic effects over time were small but nonnegligible (up to 1.58 mm Hg over 60 years). The EHBP1L1 locus was discovered through gene-age interactions only in whites but had DBP main effects replicated (p = 8.3 × 10(-4)) in 8,682 Asians from Singapore, indicating potential interethnic heterogeneity. A secondary analysis revealed 22 loci with evidence of age-specific effects (e.g., only in 20 to 29-year-olds). Age can be used to select samples with larger genetic effect sizes and more homogenous phenotypes, which may increase statistical power. Age-dependent effects identified through novel statistical approaches can provide insight into the biology and temporal regulation underlying BP associations.
10aAdolescent10aAdult10aAge Factors10aAged10aBlood Pressure10aCohort Studies10aHumans10aMiddle Aged10aYoung Adult1 aSimino, Jeannette1 aShi, Gang1 aBis, Joshua, C1 aChasman, Daniel, I1 aEhret, Georg, B1 aGu, Xiangjun1 aGuo, Xiuqing1 aHwang, Shih-Jen1 aSijbrands, Eric1 aSmith, Albert, V1 aVerwoert, Germaine, C1 aBragg-Gresham, Jennifer, L1 aCadby, Gemma1 aChen, Peng1 aCheng, Ching-Yu1 aCorre, Tanguy1 ade Boer, Rudolf, A1 aGoel, Anuj1 aJohnson, Toby1 aKhor, Chiea-Chuen1 aLluís-Ganella, Carla1 aLuan, Jian'an1 aLyytikäinen, Leo-Pekka1 aNolte, Ilja, M1 aSim, Xueling1 aSõber, Siim1 avan der Most, Peter, J1 aVerweij, Niek1 aZhao, Jing Hua1 aAmin, Najaf1 aBoerwinkle, Eric1 aBouchard, Claude1 aDehghan, Abbas1 aEiriksdottir, Gudny1 aElosua, Roberto1 aFranco, Oscar, H1 aGieger, Christian1 aHarris, Tamara, B1 aHercberg, Serge1 aHofman, Albert1 aJames, Alan, L1 aJohnson, Andrew, D1 aKähönen, Mika1 aKhaw, Kay-Tee1 aKutalik, Zoltán1 aLarson, Martin, G1 aLauner, Lenore, J1 aLi, Guo1 aLiu, Jianjun1 aLiu, Kiang1 aMorrison, Alanna, C1 aNavis, Gerjan1 aOng, Rick Twee-Hee1 aPapanicolau, George, J1 aPenninx, Brenda, W1 aPsaty, Bruce, M1 aRaffel, Leslie, J1 aRaitakari, Olli, T1 aRice, Kenneth1 aRivadeneira, Fernando1 aRose, Lynda, M1 aSanna, Serena1 aScott, Robert, A1 aSiscovick, David, S1 aStolk, Ronald, P1 aUitterlinden, André, G1 aVaidya, Dhananjay1 avan der Klauw, Melanie, M1 aVasan, Ramachandran, S1 aVithana, Eranga, Nishanthie1 aVölker, Uwe1 aVölzke, Henry1 aWatkins, Hugh1 aYoung, Terri, L1 aAung, Tin1 aBochud, Murielle1 aFarrall, Martin1 aHartman, Catharina, A1 aLaan, Maris1 aLakatta, Edward, G1 aLehtimäki, Terho1 aLoos, Ruth, J F1 aLucas, Gavin1 aMeneton, Pierre1 aPalmer, Lyle, J1 aRettig, Rainer1 aSnieder, Harold1 aTai, Shyong, E1 aTeo, Yik-Ying1 aHarst, Pim1 aWareham, Nicholas, J1 aWijmenga, Cisca1 aWong, Tien, Yin1 aFornage, Myriam1 aGudnason, Vilmundur1 aLevy, Daniel1 aPalmas, Walter1 aRidker, Paul, M1 aRotter, Jerome, I1 aDuijn, Cornelia, M1 aWitteman, Jacqueline, C M1 aChakravarti, Aravinda1 aRao, Dabeeru, C1 aLifeLines Cohort Study uhttps://chs-nhlbi.org/node/6599