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Tier 3 — Observational / field trialPeer-reviewed

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

the Million Veteran Program, Εvangelos Εvangelou, Helen R. Warren, David Mosén-Ansorena, Borbála Mifsud, Raha Pazoki, He Gao, Georgios Ntritsos, Niki Dimou, Claudia P. Cabrera, İbrahim 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. Kövesdy, Tõnu Esko, Reedik Mägi, Lili Milani, Peter Almgren, Thibaud Boutin, Stéphanie Debette, Jun Ding, Franco Giulianini, Elizabeth Holliday, Anne Jackson, Ruifang Li‐Gao, Wei‐Yu Lin, Jian’an Luan, Massimo Mangino, Christopher Oldmeadow, Bram P. Prins, Yong Qian, Muralidharan Sargurupremraj, Nabi Shah, Praveen Surendran, Sébastien Thériault, Niek Verweij, Sara M. Willems, Jing-Hua Zhao, Philippe Amouyel, John Connell, Renée de Mutsert, Alex S. F. Doney, Martin Farrall, Cristina Menni, Andrew D. Morris, Raymond Noordam, Guillaume Paré, Neil R Poulter, Denis C. Shields, Alice Stanton, Simon Thom, Gonçalo Abecasis, Najaf Amin, Dan E. Arking, Kristin L. Ayers, Caterina Barbieri, Chiara Batini, Joshua C. Bis, Tineka Blake, Murielle Bochud, Michael Boehnke, Eric Boerwinkle, Dorret I. Boomsma, Erwin P. Böttinger, Peter S. Braund, Marco Brumat, Archie Campbell, Harry Campbell, Aravinda Chakravarti, John C. Chambers, Ganesh Chauhan, Marina Ciullo, Massimiliano Cocca, Francis S. Collins, Heather J. Cordell, Gail Davies, Martin H. de Borst, Eco J. C. de Geus, Ian J. Deary, Joris Deelen, Fabiola Del Greco M, Cumhur Yusuf Demirkale, Marcus Dörr, Georg Ehret, Roberto Elosúa, Stefan Enroth, A. Mesut Erzurumluoglu, Teresa Ferreira, Mattias Frånberg, Oscar H. Franco

Nature Genetics · 2018

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Summary

This large-scale genome-wide association study analysed genetic variation in over one million individuals to identify novel loci associated with blood pressure traits. The discovery of 535 loci, substantially more than previously identified, advances understanding of the genetic architecture of hypertension and may inform future therapeutic targets and risk stratification. As suggested by the scale and scope, the work represents a significant consolidation of genetic evidence relevant to cardiovascular disease aetiology.

UK applicability

The findings are applicable to UK populations as the study included diverse ancestry groups and the genetic variants identified have relevance to understanding hypertension risk across populations. Results may support future development of polygenic risk scores for cardiovascular disease prevention in UK clinical practice.

Key measures

Genetic loci associated with systolic and diastolic blood pressure; effect sizes and allele frequencies; heritability estimates

Outcomes reported

The study identified 535 genetic loci associated with blood pressure traits through analysis of over one million individuals. The findings provide insights into the genetic architecture underlying hypertension and cardiovascular disease risk.

Theme
Nutrition & health
Subject
Dietary patterns & chronic disease
Study type
Research
Study design
Genome-wide association study (GWAS)
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Human clinical
DOI
10.1038/s41588-018-0205-x
Catalogue ID
SNmohdwf5u-9jslzk

Topic tags

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