Evidence map›Paper›PMID 36824767›Full record

ArticleResearch square2023

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 Crowther, Palwende Boua, Hermann Sorgho, Godfred Agongo, Engelbert Nonterah, Lisa Micklesfield, Shane Norris and 7 more

Abstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Surina SinghSydney Brenner Institute for Molecular Bioscience (SBIMB), University of the Witwatersrand.ORCID 0000-0002-5982-0228
Ananyo ChoudhuryUniversity of the Witwatersrand.ORCID 0000-0001-8225-9531
Scott HazelhurstSydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences & School of Electrical & Information Engineering, University of the Witwatersrand.ORCID 0000-0002-0581-149X
Nigel Crowther11Department of Chemical Pathology, National Health Laboratory Service.ORCID 0000-0002-5766-1745
Palwende BouaClinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé.ORCID 0000-0001-8325-2665
Hermann SorghoClinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé.
Godfred AgongoNavrongoHealth Research Centre, Navrongo, Ghana.
Engelbert NonterahNavrongo Health Research Centre, Ghana Health Service.ORCID 0000-0001-8491-6478
Lisa MicklesfieldUniversity of the Witwatersrand.ORCID 0000-0002-4994-0779
Shane NorrisSAMRC Developmental Pathways For Health Research Unit, Department of Paediatrics & Child Health, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0001-7124-3788
Isaac KisianganiAfrican Population and Health Research Center.ORCID 0000-0002-1107-4334
Shukri MohamedAfrican Population and Health Research Center.
Francesc Gomez-Olive8MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand.ORCID 0000-0002-4876-0848
Stephen TollmanUniversity of the Witwatersrand.ORCID 0000-0003-0744-7588
Solomon ChomaDepartment of Pathology and Medical Sciences.
Jean-Tristan BrandenburgSydney Brenner Institute for Molecular Bioscience (SBIMB), University of the Witwatersrand.
Michele RamsayUniversity of the Witwatersrand.ORCID 0000-0002-4156-4801

Funding

Shared Core: Biobanking, Bioinformatics and Data ManagementU54HG006938 · NHGRI · WITS HEALTH CONSORTIUM (PTY), LTD · PI RAMSAY, MICHELE MICHELE · 2012 to 2022
$12.2M
NHGRI NIH HHS U54 HG006938
6 · The paper itself

Abstract

Most hypertension-related genome-wide association studies (GWAS) 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-related traits (systolic and diastolic blood pressure, pulse pressure, mean-arterial pressure and hypertension) from three sub-Saharan African geographic regions (N=10,775), identified two genome-wide significant signals (p<5E-08): systolic blood pressure near P2RY1 (rs77846204; intergenic variant, p=4.25E-08) and pulse pressure near Linc01256 (rs80141533; intergenic variant, p=4.25E-08). No genome-wide signals were detected for the AWI-Gen GWAS meta-analysis with previous African-ancestry GWASs (UK Biobank (African), Uganda Genome Resource). Suggestive signals (p<5E-06) were observed for all traits, with 29 displaying pleiotropic effects and several replicating known associations. Polygenic risk scores developed from studies on different ancestries had limited transferability, with multi-ancestry models providing better prediction. This study provides insights into the genetics and physiology of blood pressure variation in African populations.

Identifiers

PMID36824767
PMCPMC9949264

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