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Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

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  • Evangelos Evangelou
  • Helen R Warren
  • David Mosen-Ansorena
  • Borbala Mifsud
  • Raha Pazoki
  • He Gao
  • Georgios Ntritsos
  • Niki Dimou
  • Claudia P Cabrera
  • Ibrahim Karaman
  • Fu Liang Ng
  • Marina Evangelou
  • Katarzyna Witkowska
  • Evan Tzanis
  • Jacklyn N Hellwege
  • Ayush Giri
  • Digna R Velez Edwards
  • Yan V Sun
  • Kelly Cho
  • J Michael Gaziano
  • Peter W F Wilson
  • Philip S Tsao
  • Csaba P Kovesdy
  • Tonu Esko
  • Reedik Mägi
  • Lili Milani
  • Peter Almgren
  • Thibaud Boutin
  • Stéphanie Debette
  • Jun Ding
  • Franco Giulianini
  • Elizabeth G Holliday
  • Anne U Jackson
  • Ruifang Li-Gao
  • Wei-Yu Lin
  • Jian'an Luan
  • Massimo Mangino
  • Christopher Oldmeadow
  • Bram Peter Prins
  • Yong Qian
  • Muralidharan Sargurupremraj
  • Nabi Shah
  • Praveen Surendran
  • Sébastien Thériault
  • Niek Verweij
  • Sara M Willems
  • Jing-Hua Zhao
  • Philippe Amouyel
  • John Connell
  • Joanne Knight
  • Million Veteran Program
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<mark>Journal publication date</mark>17/09/2018
<mark>Journal</mark>Nature Genetics
Number of pages20
Publication StatusPublished
<mark>Original language</mark>English

Abstract

High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

Bibliographic note

© 2018 Springer Nature Limited. All rights reserved. The Author's Accepted Manuscript (the accepted version of the manuscript as submitted by the author) may only be posted 6 months after the paper is published, consistent with our self-archiving embargo. Please note that the Author’s Accepted Manuscript may not be released under a Creative Commons license. For Nature Research Terms of Reuse of archived manuscripts please see: http://www.nature.com/authors/policies/license.html#terms