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

Research output: Contribution to journalArticle

  • Understanding Society Scientific Group
  • 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
  • Tom G Richardson
  • Eleftheria Zeggini
  • Robert A Scott
  • Colin Neil Alexander Palmer
  • Nicholas J Timpsonhttp://orcid.org/0000-0002-7141-9189
  • Peter W F Wilson
Original languageEnglish
Pages (from-to)51-62
Number of pages12
JournalNature Genetics
Volume51
Issue number1
Early online date21 Dec 2018
DOIs
DateAccepted/In press - 31 Oct 2018
DateE-pub ahead of print - 21 Dec 2018
DatePublished (current) - Jan 2019

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.

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Nature at DOI: 10.1038/s41588-018-0303-9. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 1 MB, PDF-document

DOI

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