Genome-wide association study meta-analysis of blood pressure traits and hypertension in sub-Saharan African populations: an AWI-Gen study
Genome-wide association study meta-analysis of blood pressure traits and hypertension in sub-Saharan African populations: an AWI-Gen study
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 < 5E-08): systolic BP near P2RY1 (rs77846204; intergenic variant, p = 4.95E-08) and pulse pressure near LINC01256 (rs80141533; intergenic variant, p = 1.76E-08). No genome-wide signals are detected for the AWI-Gen GWAS meta-analysis with previous African-ancestry GWASs (UK Biobank (African), Uganda Genome Resource). Suggestive signals (p < 5E-06) are observed for all traits, with 29 SNPs associating with more than one trait and several replicating known associations. Polygenic risk scores (PRSs) developed from studies on different ancestries have limited transferability, with multi-ancestry PRS providing better prediction. This study provides insights into the genetics of BP variation in African populations.
Singh, Surina
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Choudhury, Ananyo
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Hazelhurst, Scott
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Crowther, Nigel J.
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Boua, Palwendé R.
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Sorgho, Hermann
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Agongo, Godfred
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Nonterah, Engelbert A.
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Micklesfield, Lisa K.
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Norris, Shane A.
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Kisiangani, Isaac
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Mohamed, Shukri
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Gómez-Olivé, Francesc X.
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Tollman, Stephen M.
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Choma, Solomon
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Brandenburg, J-T
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Ramsay, Michèle
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16 December 2023
Singh, Surina
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Choudhury, Ananyo
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Hazelhurst, Scott
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Crowther, Nigel J.
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Boua, Palwendé R.
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Sorgho, Hermann
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Agongo, Godfred
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Nonterah, Engelbert A.
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Micklesfield, Lisa K.
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Norris, Shane A.
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Kisiangani, Isaac
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Mohamed, Shukri
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Gómez-Olivé, Francesc X.
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Tollman, Stephen M.
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Choma, Solomon
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Brandenburg, J-T
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Ramsay, Michèle
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Singh, Surina, Choudhury, Ananyo, Hazelhurst, Scott, Crowther, Nigel J., Boua, Palwendé R., Sorgho, Hermann, Agongo, Godfred, Nonterah, Engelbert A., Micklesfield, Lisa K., Norris, Shane A., Kisiangani, Isaac, Mohamed, Shukri, Gómez-Olivé, Francesc X., Tollman, Stephen M., Choma, Solomon, Brandenburg, J-T and Ramsay, Michèle
(2023)
Genome-wide association study meta-analysis of blood pressure traits and hypertension in sub-Saharan African populations: an AWI-Gen study.
Nature Communications, 14, [8376 (2023)].
(doi:10.1038/s41467-023-44079-0).
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 < 5E-08): systolic BP near P2RY1 (rs77846204; intergenic variant, p = 4.95E-08) and pulse pressure near LINC01256 (rs80141533; intergenic variant, p = 1.76E-08). No genome-wide signals are detected for the AWI-Gen GWAS meta-analysis with previous African-ancestry GWASs (UK Biobank (African), Uganda Genome Resource). Suggestive signals (p < 5E-06) are observed for all traits, with 29 SNPs associating with more than one trait and several replicating known associations. Polygenic risk scores (PRSs) developed from studies on different ancestries have limited transferability, with multi-ancestry PRS providing better prediction. This study provides insights into the genetics of BP variation in African populations.
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s41467-023-44079-0
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Submitted date: 31 January 2023
Accepted/In Press date: 29 November 2023
Published date: 16 December 2023
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Local EPrints ID: 496579
URI: http://eprints.soton.ac.uk/id/eprint/496579
ISSN: 2041-1723
PURE UUID: 6f67b935-4be7-4271-a1f7-3a91318a916a
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Date deposited: 19 Dec 2024 17:44
Last modified: 20 Dec 2024 02:57
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Contributors
Author:
Surina Singh
Author:
Ananyo Choudhury
Author:
Scott Hazelhurst
Author:
Nigel J. Crowther
Author:
Palwendé R. Boua
Author:
Hermann Sorgho
Author:
Godfred Agongo
Author:
Engelbert A. Nonterah
Author:
Lisa K. Micklesfield
Author:
Isaac Kisiangani
Author:
Shukri Mohamed
Author:
Francesc X. Gómez-Olivé
Author:
Stephen M. Tollman
Author:
Solomon Choma
Author:
J-T Brandenburg
Author:
Michèle Ramsay
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