| Title: | Genome-wide association study meta-analysis of blood pressure traits and hypertension in sub-Saharan African populations: an AWI-Gen study |
| Journal: | Nature Communications |
| Published: | 16 Dec 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38104120/ |
| DOI: | https://doi.org/10.1038/s41467-023-44079-0 |
| URL: | https://www.nature.com/articles/s41467-023-44079-0.pdf |
Publication 9151
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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.</p>
17 Authors
- 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
- Michèle Ramsay
1 Application
| Application ID | Title |
|---|---|
| 63215 | Comparison and replication of GWAS and gene-environment interaction signals and polygenic risk scores for complex traits in the African AWI-Gen cohort study |
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