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

Million Veteran Program, 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 ChoJ 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, Bram Peter Prins, Niek Verweij, Jing-Hua Zhao, Martin H de Borst, Catharina A Hartman, Li Lin, Ilja M Nolte, Albertine J Oldehinkel, Brenda W J H Penninx, Harriëtte Riese, Albert V Smith, Harold Snieder, Morris A Swertz, Ahmad Vaez, Peter J van der Most, Pim van der Harst

Research output: Contribution to journalArticleAcademicpeer-review

190 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1412-+
Number of pages17
JournalNature Genetics
Volume50
Issue number10
Early online date17-Sep-2018
DOIs
Publication statusPublished - Oct-2018

Keywords

  • GENOME-WIDE ASSOCIATION
  • CARDIOVASCULAR-DISEASE RISK
  • UK BIOBANK
  • HYPERTENSION
  • VARIANTS
  • METAANALYSIS
  • COMMON
  • HEALTH
  • RARE
  • HYPERALDOSTERONISM

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