Trans-ethnic association study of blood pressure determinants in over 750,000 individuals View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-01

AUTHORS

Ayush Giri, Jacklyn N. Hellwege, Jacob M. Keaton, Jihwan Park, Chengxiang Qiu, Helen R. Warren, Eric S. Torstenson, Csaba P. Kovesdy, Yan V. Sun, Otis D. Wilson, Cassianne Robinson-Cohen, Christianne L. Roumie, Cecilia P. Chung, Kelly A. Birdwell, Scott M. Damrauer, Scott L. DuVall, Derek Klarin, Kelly Cho, Yu Wang, Evangelos Evangelou, Claudia P. Cabrera, Louise V. Wain, Rojesh Shrestha, Brian S. Mautz, Elvis A. Akwo, Muralidharan Sargurupremraj, Stéphanie Debette, Michael Boehnke, Laura J. Scott, Jian’an Luan, Jing-Hua Zhao, Sara M. Willems, Sébastien Thériault, Nabi Shah, Christopher Oldmeadow, Peter Almgren, Ruifang Li-Gao, Niek Verweij, Thibaud S. Boutin, Massimo Mangino, Ioanna Ntalla, Elena Feofanova, Praveen Surendran, James P. Cook, Savita Karthikeyan, Najim Lahrouchi, Chunyu Liu, Nuno Sepúlveda, Tom G. Richardson, Aldi Kraja, Philippe Amouyel, Martin Farrall, Neil R. Poulter, Markku Laakso, Eleftheria Zeggini, Peter Sever, Robert A. Scott, Claudia Langenberg, Nicholas J. Wareham, David Conen, Colin Neil Alexander Palmer, John Attia, Daniel I. Chasman, Paul M. Ridker, Olle Melander, Dennis Owen Mook-Kanamori, Pim van der Harst, Francesco Cucca, David Schlessinger, Caroline Hayward, Tim D. Spector, Marjo-Riitta Jarvelin, Branwen J. Hennig, Nicholas J. Timpson, Wei-Qi Wei, Joshua C. Smith, Yaomin Xu, Michael E. Matheny, Edward E. Siew, Cecilia Lindgren, Karl-Heinz Herzig, George Dedoussis, Joshua C. Denny, Bruce M. Psaty, Joanna M. M. Howson, Patricia B. Munroe, Christopher Newton-Cheh, Mark J. Caulfield, Paul Elliott, J. Michael Gaziano, John Concato, Peter W. F. Wilson, Philip S. Tsao, Digna R. Velez Edwards, Katalin Susztak, Christopher J. O’Donnell, Adriana M. Hung, Todd L. Edwards

ABSTRACT

In this trans-ethnic multi-omic study, we reinterpret the genetic architecture of blood pressure to identify genes, tissues, phenomes and medication contexts of blood pressure homeostasis. We discovered 208 novel common blood pressure SNPs and 53 rare variants in genome-wide association studies of systolic, diastolic and pulse pressure in up to 776,078 participants from the Million Veteran Program (MVP) and collaborating studies, with analysis of the blood pressure clinical phenome in MVP. Our transcriptome-wide association study detected 4,043 blood pressure associations with genetically predicted gene expression of 840 genes in 45 tissues, and mouse renal single-cell RNA sequencing identified upregulated blood pressure genes in kidney tubule cells. More... »

PAGES

51-62

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  • Journal

    TITLE

    Nature Genetics

    ISSUE

    1

    VOLUME

    51

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41588-018-0303-9

    DOI

    http://dx.doi.org/10.1038/s41588-018-0303-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1110786508

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30578418


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