Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/7226
Title: Genetic factors contributing to hypertension in African-based populations : a systematic review and meta-analysis
Authors: Yako, Yandiswa Y 
Balti, Eric V 
Matsha, Tandi Edith 
Dzudie, Anastase. 
Kruger, Deirdre. 
Sobngwi, Eugene 
Agyemang, Charles 
Kengne, Andre Pascal 
Keywords: Hypertention -- Africa;Blood pressure -- Africa;Hypertention -- Africa -- Genetic aspects;Systolic blood pressure
Issue Date: 2018
Publisher: PubMed
Source: Yako, Y. Y., Balti, E.V., Matsha, T.E. et al. 2018. Genetic factors contributing to hypertension in African-based populations: A systematic review and meta-analysis. Journal of clinical hypertension, 20(3): 485-495. [http://doi.10.1111/jch.13225]
Journal: Journal of clinical hypertension 
Abstract: In a systematic review, the authors explored genetic association studies of essential hypertension in African populations. Studies reporting on the association of polymorphism(s) with hypertension in African populations were included. Appropriate studies were pooled using random effects model meta-analysis, under six potential inheritance models. In all, 46 polymorphisms in 33 genes were investigated for their association with hypertension or blood pressure levels. Meta-analysis was possible for three single nucleotide polymorphisms: rs4340, rs699, and rs5186. An association was found between rs5186, rs699, and hypertension under allele contrast and homozygous codominant models (odds ratio, 1.63 [95% confidence interval, 1.04-2.54] and 4.01 [95% confidence interval, 1.17-13.80] for rs5186, respectively; and 1.80 [95% confidence interval, 1.13-2.87] for rs699). Findings were mostly robust in sensitivity analyses. According to the systematic review, there is currently insufficient evidence on the specific polymorphisms that pose the risk of hypertension in African populations. Large-scale genetic studies are warranted to better understand susceptibility polymorphisms that may be specific to African populations.
URI: http://hdl.handle.net/11189/7226
ISSN: 1524-6175
DOI: http://doi.10.1111/jch.13225
Appears in Collections:HWSci - Journal Articles (DHET subsidised)

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