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, 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, John Connell, Andrew D. Morris, Colin N. A. Palmer, Paul Elliott (Lead / Corresponding author), Mark J. Caulfield (Lead / Corresponding author)

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868 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)1412-1425
Number of pages14
JournalNature Genetics
Volume50
Early online date17 Sept 2018
DOIs
Publication statusPublished - Oct 2018

ASJC Scopus subject areas

  • Genetics

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

    Million Veteran Program, Evangelou, E., Warren, H. R., Mosen-Ansorena, D., Mifsud, B., Pazoki, R., Gao, H., Ntritsos, G., Dimou, N., Cabrera, C. P., Karaman, I., Ng, F. L., Evangelou, M., Witkowska, K., Tzanis, E., Hellwege, J. N., Giri, A., Velez Edwards, D. R., Sun, Y. V. & Cho, K. & 33 others, Gaziano, J. M., Wilson, P. W. F., Tsao, P. S., Kovesdy, C. P., Esko, T., Mägi, R., Milani, L., Almgren, P., Boutin, T., Debette, S., Ding, J., Giulianini, F., Holliday, E. G., Jackson, A. U., Li-Gao, R., Lin, W.-Y., Luan, J., Mangino, M., Oldmeadow, C., Prins, B. P., Qian, Y., Sargurupremraj, M., Shah, N., Surendran, P., Thériault, S., Verweij, N., Willems, S. M., Connell, J., Morris, A. D., Morris, A. P., Palmer, C. N. A., Elliott, P. (Lead / Corresponding author) & Caulfield, M. J. (Lead / Corresponding author), 14 Nov 2014, In: Nature Genetics. 50, p. 1755 1 p.

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    19 Citations (Scopus)

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