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


    Warren, Helen R, Evangelou, Evangelos, Cabrera, Claudia P, Gao, He, Ren, Meixia, Mifsud, Borbala, Ntalla, Ioanna, Surendran, Praveen, Liu, Chunyu, Cook, James P, Kraja, Aldi T, Drenos, Fotios, Loh, Marie, Verweij, Niek, Marten, Jonathan, Karaman, Ibrahim, Lepe, Marcelo P Segura, O'Reilly, Paul F, Knight, Joanne, Snieder, Harold, Kato, Norihiro, He, Jiang, Tai, E Shyong, Said, M Abdullah, Porteous, David, Alver, Maris, Poulter, Neil, Farrall, Martin, Gansevoort, Ron T, Padmanabhan, Sandosh, Mägi, Reedik, Stanton, Alice, Connell, John, Bakker, Stephan J L, Metspalu, Andres, Shields, Denis C, Thom, Simon, Brown, Morris, Sever, Peter, Esko, Tõnu, Hayward, Caroline, van der Harst, Pim, Saleheen, Danish, Chowdhury, Rajiv, Chambers, John C, Chasman, Daniel I, Chakravarti, Aravinda, Newton-Cheh, Christopher, Lindgren, Cecilia M, Levy, Daniel, Kooner, Jaspal S, Keavney, Bernard, Tomaszewski, Maciej, Samani, Nilesh J, Howson, Joanna M M, Tobin, Martin D, Munroe, Patricia B, Ehret, Georg B, Wain, Louise V and Lopez, Lorna M. (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

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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.
    Item Type: Article
    Additional Information: As part of authors and affiliations: The International Consortium of Blood Pressure (ICBP) 1000G Analyses, The CHD Exome+ Consortium, The ExomeBP Consortium, The T2D-GENES Consortium, The GoT2DGenes Consortium, The Cohorts for Heart and Ageing Research in Genome Epidemiology (CHARGE) BP Exome Consortium, The International Genomics of Blood Pressure (iGEN-BP) Consortium, Michael R Barnes, Ioanna Tzoulaki, Mark J Caulfield1, & Paul Elliott for The UK Biobank CardioMetabolic Consortium BP working group
    Keywords: Genome-wide; association; analysis; identifies; novel; blood pressure; loci; biological insights; cardiovascular risk;
    Academic Unit: Faculty of Science and Engineering > Biology
    Faculty of Science and Engineering > Research Institutes > Human Health Institute
    Item ID: 17108
    Identification Number: 10.1038/ng.3768
    Depositing User: Lorna Lopez
    Date Deposited: 15 May 2023 15:41
    Journal or Publication Title: Nature Genetics
    Publisher: Nature Research
    Refereed: Yes
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/17108
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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