Hypertension in African populations: Review and computational insights
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
MPDI
Abstract
Hypertension (HTN) is a persistent public health problem affecting approximately 1.3 billion
individuals globally. Treatment-resistant hypertension (TRH) is defined as high blood pressure (BP)
in a hypertensive patient that remains above goal despite use of ≥3 antihypertensive agents of
different classes including a diuretic. Despite a plethora of treatment options available, only 31.0% of
individuals have their HTN controlled. Interindividual genetic variability to drug response might
explain this disappointing outcome because of genetic polymorphisms. Additionally, the poor
knowledge of pathophysiological mechanisms underlying hypertensive disease and the long-term
interaction of antihypertensive drugs with blood pressure control mechanisms further aggravates
the problem. Furthermore, in Africa, there is a paucity of pharmacogenomic data on the treatment of
resistant hypertension. Therefore, identification of genetic signals having the potential to predict the
response of a drug for a given individual in an African population has been the subject of intensive
investigation. In this review, we aim to systematically extract and discuss African evidence on the
genetic variation, and pharmacogenomics towards the treatment of HTN. Furthermore, in silico
methods are utilized to elucidate biological processes that will aid in identifying novel drug targets
for the treatment of resistant hypertension in an African population. To provide an expanded view of
genetic variants associated with the development of HTN, this study was performed using publicly
available databases such as PubMed, Scopus, Web of Science, African Journal Online, PharmGKB
searching for relevant papers between 1984 and 2020.
Description
Keywords
Hypertension, Pharmacogenomics, Genetic variation, Africa, Public health
Citation
Mabhida, S. E. et al. (2021). Hypertension in African populations: Review and computational insights. Genes, 2, 532. https://doi.org/10.3390/ genes12040532