Genome-wide association study meta-analysis of blood pressure traits and hypertension in sub-Saharan African populations: an AWI-Gen study

Surina Singh (), Ananyo Choudhury, Scott Hazelhurst, Nigel J. Crowther, Palwendé R. Boua, Hermann Sorgho, Godfred Agongo, Engelbert A. Nonterah, Lisa K. Micklesfield, Shane A. Norris, Isaac Kisiangani, Shukri Mohamed, Francesc X. Gómez-Olivé, Stephen M. Tollman, Solomon Choma, J-T. Brandenburg and Michèle Ramsay ()
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Surina Singh: University of the Witwatersrand
Ananyo Choudhury: University of the Witwatersrand
Scott Hazelhurst: University of the Witwatersrand
Nigel J. Crowther: University of the Witwatersrand
Palwendé R. Boua: University of the Witwatersrand
Hermann Sorgho: Institut de Recherche en Sciences de la Sante
Godfred Agongo: C.K. Tedam University of Technology and Applied Sciences
Engelbert A. Nonterah: Ghana Health Service
Lisa K. Micklesfield: University of the Witwatersrand
Shane A. Norris: University of the Witwatersrand
Isaac Kisiangani: African Population and Health Research Center
Shukri Mohamed: African Population and Health Research Center
Francesc X. Gómez-Olivé: University of the Witwatersrand
Stephen M. Tollman: University of the Witwatersrand
Solomon Choma: University of Limpopo
J-T. Brandenburg: University of the Witwatersrand
Michèle Ramsay: University of the Witwatersrand

Nature Communications, 2023, vol. 14, issue 1, 1-14

Abstract: Abstract Most hypertension-related genome-wide association studies (GWASs) focus on non-African populations, despite hypertension (a major risk factor for cardiovascular disease) being highly prevalent in Africa. The AWI-Gen study GWAS meta-analysis for blood pressure (BP)-related traits (systolic and diastolic BP, pulse pressure, mean-arterial pressure and hypertension) from three sub-Saharan African geographic regions (N = 10,775), identifies two novel genome-wide significant signals (p

Date: 2023
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DOI: 10.1038/s41467-023-44079-0

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