Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk.


Warren, HR; Evangelou, E; Cabrera, CP; Gao, H; Ren, M; Mifsud, B; Ntalla, I; Surendran, P; Liu, C; Cook, JP; Kraja, AT; Drenos, F; Loh, M; Verweij, N; Marten, J; Karaman, I; Lepe, MP; O'Reilly, PF; Knight, J; Snieder, H; Kato, N; He, J; Tai, ES; Said, MA; Porteous, D; Alver, M; Poulter, N; Farrall, M; Gansevoort, RT; Padmanabhan, S; Mägi, R; Stanton, A; Connell, J; Bakker, SJ; Metspalu, A; Shields, DC; Thom, S; Brown, M; Sever, P; Esko, T; Hayward, C; van der Harst, P; Saleheen, D; Chowdhury, R; Chambers, JC; Chasman, DI; Chakravarti, A; Newton-Cheh, C; Lindgren, CM; Levy, D; Kooner, JS; Keavney, B; Tomaszewski, M; Samani, NJ; Howson, JM; Tobin, MD; Munroe, PB; Ehret, GB; Wain, LV; International Consortium of Blood Pressure (ICBP) 1000G Analyses, ; BIOS Consortium, ; Lifelines Cohort Study, ; Understanding Society Scientific group, ; CHD Exome+ Consortium, ; ExomeBP Consortium, ; T2D-GENES Consortium, ; GoT2DGenes Consortium, ; Cohorts for Heart and Ageing Research in Genome Epidemiology (CH, ; International Genomics of Blood Pressure (iGEN-BP) Consortium, ; UK Biobank CardioMetabolic Consortium BP working group, ; , COLLABORATORS; Völker, U; Vollenweider, P; Wild, S; Willemsen, G; Wright, AF; Yao, J; Thériault, S; Conen, D; John, A; Sever, P; Debette, S; Mook-Kanamori, DO; Zeggini, E; Spector, TD; van der Harst, P; Palmer, CN; Vergnaud, AC; Loos, RJ; Polasek, O; Starr, JM; Girotto, G; Hayward, C; Kooner, JS; Lindgren, CM; Vitart, V; Samani, NJ; Tuomilehto, J; Gyllensten, U; Knekt, P; Deary, IJ; Ciullo, M; Elosua, R; Keavney, BD; Hicks, AA; Scott, RA; Gasparini, P; Laan, M; Liu, Y; Watkins, H; Hartman, CA; Salomaa, V; Toniolo, D; Perola, M; Wilson, JF; Schmidt, H; Zhao, JH; Lehtimäki, T; van Duijn, CM; Gudnason, V; Psaty, BM; Peters, A; Rettig, R; James, A; Jukema, JW; Strachan, DP; Palmas, W; Metspalu, A; Ingelsson, E; Boomsma, DI; Franco, OH; Bochud, M; Newton-Cheh, C; Munroe, PB; Elliott, P; Chasman, DI; Chakravarti, A; Knight, J; Morris, AP; Levy, D; Tobin, MD; Snieder, H; Caulfield, MJ; Ehret, GB; Barnes, MR; Tzoulaki, I; Caulfield, MJ; Elliott, P; (2017) Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk. Nature genetics, 49 (3). pp. 403-415. ISSN 1061-4036 DOI: https://doi.org/10.1038/ng.3768

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Abstract

: Elevated blood pressure is the leading heritable risk factor for cardiovascular disease worldwide. We report genetic association of blood pressure (systolic, diastolic, pulse pressure) among UK Biobank participants of European ancestry with independent replication in other cohorts, and robust validation of 107 independent loci. We also identify new independent variants at 11 previously reported blood pressure loci. In combination with results from a range of in silico functional analyses and wet bench experiments, our findings highlight new biological pathways for blood pressure regulation enriched for genes expressed in vascular tissues and identify potential therapeutic targets for hypertension. Results from genetic risk score models raise the possibility of a precision medicine approach through early lifestyle intervention to offset the impact of blood pressure-raising genetic variants on future cardiovascular disease risk.<br/>

Item Type: Article
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology
PubMed ID: 28135244
Web of Science ID: 394917800014
URI: http://researchonline.lshtm.ac.uk/id/eprint/3429633

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