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Abstract
Mark Caulfield, Paul Elliott and colleagues use data from the UK Biobank to perform genome-wide association analysis for blood pressure traits. They identify and validate 107 novel loci and highlight new biological pathways for potential therapeutic intervention for hypertension.</p>
59 Authors
Helen R Warren
Evangelos Evangelou
Claudia P Cabrera
He Gao
Meixia Ren
Borbala Mifsud
Ioanna Ntalla
Praveen Surendran
Chunyu Liu
James P Cook
Aldi T Kraja
Fotios Drenos
Marie Loh
Niek Verweij
Jonathan Marten
Ibrahim Karaman
Marcelo P Segura Lepe
Paul F O'Reilly
Joanne Knight
Harold Snieder
Norihiro Kato
Jiang He
E Shyong Tai
M Abdullah Said
David Porteous
Maris Alver
Neil Poulter
Martin Farrall
Ron T Gansevoort
Sandosh Padmanabhan
Reedik Mägi
Alice Stanton
John Connell
Stephan J L Bakker
Andres Metspalu
Denis C Shields
Simon Thom
Morris Brown
Peter Sever
Tõnu Esko
Caroline Hayward
Pim van der Harst
Danish Saleheen
Rajiv Chowdhury
John C Chambers
Daniel I Chasman
Aravinda Chakravarti
Christopher Newton-Cheh
Cecilia M Lindgren
Daniel Levy
Jaspal S Kooner
Bernard Keavney
Maciej Tomaszewski
Nilesh J Samani
Joanna M M Howson
Martin D Tobin
Patricia B Munroe
Georg B Ehret
Louise V Wain
1 Application
Application ID Title
236 Genome-wide association study of blood pressure.
1 Return
Return ID App ID Description Archive Date
584 236 Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk 15 Aug 2017
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