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Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk. by Warren, H, Evangelou, E, Cabrera, C, Gao, H, Ren, M, Mifsud, B, Ntalla, I, Surendran, P, Liu, C, Cook, J, Kraja, A, Drenos, F, Loh, M, Verweij, N, Marten, J, Karaman, I, Lepe, M, O'Reilly, P, Knight, J, Snieder, H, Kato, N, He, J, Tai, E, Said, M, Porteous, D, Alver, M, Poulter, N, Farrall, M, Gansevoort, R, Padmanabhan, S, Mägi, R, Stanton, A, Connell, J, Bakker, S, Metspalu, A, Shields, D, Thom, S, Brown, M, Sever, P, Esko, T, Hayward, C, van der Harst, P, Saleheen, D, Chowdhury, R, Chambers, J, Chasman, D, Chakravarti, A, Newton-Cheh, C, Lindgren, C, Levy, D, Kooner, J, Keavney, B, Tomaszewski, M, Samani, N, Howson, J, Tobin, M, Munroe, P, Ehret, G, Wain, L, Barnes, M, Tzoulaki, I, Caulfield, M, Elliott, P, 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 (CHARGE) BP Exome Consortium, International Genomics of Blood Pressure (iGEN-BP) Consortium, UK Biobank CardioMetabolic Consortium BP working group
Published 2017Journal article