Pharmacogenomics of Hypertension in Africa: Paving the Way for a Pharmacogenetic-Based Approach for the Treatment of Hypertension in Africans

Katsukunya, Jonathan N.; Soko, Nyarai D.; Naidoo, Jashira; Rayner, Brian; Blom, Dirk; Sinxadi, Phumla; Chimusa, Emile R.; Dandara, Michelle; Dzobo, Kevin; Jones, Erika; Dandara, Collet

doi:https://doi.org/10.1155/2023/9919677

International Journal of Hypertension

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Abstract Introduction Literature Review Discussion Data Availability Conflicts of Interest Acknowledgments References Copyright Related Articles

Review Article | Open Access

Volume 2023 | Article ID 9919677 | https://doi.org/10.1155/2023/9919677

Pharmacogenomics of Hypertension in Africa: Paving the Way for a Pharmacogenetic-Based Approach for the Treatment of Hypertension in Africans

Jonathan N. Katsukunya,^1,2Nyarai D. Soko,^1,2Jashira Naidoo,³Brian Rayner,^2,3Dirk Blom,^2,4Phumla Sinxadi,^2,5Emile R. Chimusa,⁶Michelle Dandara,²Kevin Dzobo,⁷Erika Jones,^2,3and Collet Dandara^1,2

Academic Editor: Lanfranco D Elia

Received14 Feb 2023

Revised21 Apr 2023

Accepted22 May 2023

Published30 May 2023

Abstract

In Africa, the burden of hypertension has been rising at an alarming rate for the last two decades and is a major cause for cardiovascular disease (CVD) mortality and morbidity. Hypertension is characterised by elevated blood pressure (BP) ≥ 140/90 mmHg. Current hypertension guidelines recommend the use of antihypertensives belonging to the following classes: calcium channel blockers (CCB), angiotensin converting inhibitors (ACEI), angiotensin receptor blockers (ARB), diuretics, β-blockers, and mineralocorticoid receptor antagonists (MRAs), to manage hypertension. Still, a considerable number of hypertensives in Africa have their BP uncontrolled due to poor drug response and remain at the risk of CVD events. Genetic factors are a major contributing factor, accounting for 20% to 80% of individual variability in therapy and poor response. Poor response to antihypertensive drug therapy is characterised by elevated BPs and occurrence of adverse drug reactions (ADRs). As a result, there have been numerous studies which have examined the role of genetic variation and its influence on antihypertensive drug response. These studies are predominantly carried out in non-African populations, including Europeans and Asians, with few or no Africans participating. It is important to note that the greatest genetic diversity is observed in African populations as well as the highest prevalence of hypertension. As a result, this warrants a need to focus on how genetic variation affects response to therapeutic interventions used to manage hypertension in African populations. In this paper, we discuss the implications of genetic diversity in CYP11B2, GRK4, NEDD4L, NPPA, SCNN1B, UMOD, CYP411, WNK, CYP3A4/5, ACE, ADBR1/2, GNB3, NOS3, B2, BEST3, SLC25A31, LRRC15 genes, and chromosome 12q loci on hypertension susceptibility and response to antihypertensive therapy. We show that African populations are poorly explored genetically, and for the few characterised genes, they exhibit qualitative and quantitative differences in the profile of pharmacogene variants when compared to other ethnic groups. We conclude by proposing prioritization of pharmacogenetics research in Africa and possible adoption of pharmacogenetic-guided therapies for hypertension in African patients. Finally, we outline the implications, challenges, and opportunities these studies present for populations of non-European descent.

1. Introduction

Hypertension is a major public health concern and is the leading cause of several cardiovascular diseases (CVDs) [1]. Globally, an estimated 1.13 billion individuals have been reported to be hypertensive, and Africa contributes significantly to the increasing global prevalence of hypertension with an estimated prevalence of 27% [2]. The number of hypertensives in Africa is projected to increase by up to 216.8 million by 2030 [3]. Noncommunicable diseases (NCDs) account for approximately 2.8 million deaths in Africa mainly due to ischaemic heart disease (IHD) and stroke for which hypertension is an important risk factor [4] (Table 1). A significant number of individuals are unaware that they are hypertensive and this puts them at increased risk of IHD, stroke, and other CVD events, hence the term “silent killer” [5]. The African Union (AU) also recognises hypertension as one of the major public health challenges in Africa after HIV/AIDS and lobbies towards implementation of effective strategies to screen and manage hypertension including firm stakeholder participation in implementing these policies [6].

The WHO identifies the increasing prevalence of hypertension in Africa to be coupled to low hypertension treatment rates which range from 10% to 21% (Table 2) in both males and females [7]. These reflect issues in healthcare systems which fall short in educating and providing therapy which consequently lead to suboptimal blood pressure (BP) control. However, suboptimal BP control in patients receiving medication has been attributed at least in part to poor adherence and persistence in taking drugs throughout long term treatment [8].

Polypharmacy is another challenge, as most hypertensive patients start with one or two antihypertensive drugs with a progressive increase in the number of drugs with increasing time on treatment, age, or comorbidities [9, 10]. According to the REGARDs study, Africans have been shown to have poorer blood pressure (BP) control compared to Europeans [11]. Evidence shows that African patients are susceptible to severe forms of hypertension compared to other ethnicities and require more aggressive treatment, comprising of multiple drugs for adequate BP control [12]. Moreover, other factors have been reported to contribute to poor BP control including diet [13, 14], comorbidities such as diabetes [15], body mass index (BMI) [16], drug-drug interactions [13], and drug-herb interactions. Due to the sociodemographic status of many African countries, most people still rely on traditional herbal medicines to treat hypertension using herbs such as Lactuca taraxicifolia, Moringa oleifera, and Myrothamnus flabellifolius [17]. Therefore, it is common to get reports of patients taking traditional herbs, while on treatment with conventional drugs [18–20]. Thus, drug-herb interactions could be a contributor to inadequate BP control in African patients. In addition, genetic factors are thought to account for nearly 50% of the variability observed among patients on treatment [21].

Numerous antihypertensive drugs have been approved for use [22–25] and are grouped into six classes; (a) calcium channel blockers (CCB), (b) angiotensin converting inhibitors (ACEI), (c) angiotensin receptor blockers (ARB), (d) diuretics, (e) β-blockers, and (f) mineralocorticoid receptor antagonists (MRAs) (Table 3). The current drugs are cleared by NR1I2, CYP3A4/5, CYP2C9, UGT1A1, UGT2B7, ABCB1, SLC22A1, SLC22A8, SLC22A2, and SLC47A1 (more listed in Table 4). Prescribing patterns, profiles of individual drugs, and availability may differ from country to country. The Pan-African Society of Cardiology (PASCAR) and the International Society of Hypertension (ISH) recommend an initial combination of an ACEI/ARB with a CCB or a combination of CCBs with thiazide or thiazide-like diuretics in African patients. Combination therapy has been shown to improve antihypertensive efficacy and results in a 5-fold reduction in BP compared to doubling doses of single agents [30, 31], where BP remains uncontrolled despite the use of 3 or more different classes of drugs including a diuretic, a mineralocorticoid receptor antagonist (MRA) should be added [32, 33], and such situations then reflect resistant hypertension.

Hypertension is a highly complex condition and control of BP involves the interaction of multiple organ systems and several mechanisms of independent or interdependent pathways. These systems or pathways are responsible for controlling peripheral vascular resistance, cardiac output, and regulating sodium and water to maintain intravascular volume, which further explains why multiple drug classes may be required for optimal BP control [34, 35]. These systems and pathways are regulated by many enzymes encoded for by different genes (Table 4) whose polymorphic nature influences antihypertensive drug response further highlighting the significance of pharmacogenetics [36]. This is particularly important in the African populations, where the optimal approach to antihypertensive treatment remains to be defined.

In developed countries, studies have demonstrated the cost-effectiveness of clinical pharmacogenetic testing and its impact in predicting drug response and/or adverse drug reactions [37]. This has led to the implementation of pharmacogenetic testing in clinical practice, a situation that is still a dream in the developing world. Currently, pharmacogenetic testing is being implemented in community pharmacies in the Netherlands, Canada, and Australia [38]. No African country yet has a fully integrated pharmacogenomics platform in routine clinical practice, although African-specific pharmacogenetic variants affecting drugs such as efavirenz [39–42], rosuvastatin [43], imatinib [44], lumefantrine [45], and warfarin [46–48] have been reported.

The paucity of studies in Africans makes the implementation of pharmacogenetics in clinical practice, a distant reality for hypertension among Africans. In Europe, guidelines on therapeutic dose recommendations based on pharmacogenes have been proposed. For example, the Dutch Pharmacogenetic Working Group (DPWG) issued guidelines on therapeutic dose recommendations for metoprolol and carvedilol based on CYP2D6 genotypes [49] among other drugs. The DPWG regularly reviews these guidelines as more evidence becomes available. Unfortunately for African patients, updates in current recommendations are informed by studies carried out predominantly among European and Asian patients, with no or very few Africans participating. Therefore, the clinical utility of recommendations in Europeans may not be useful among African populations. It is important that many different populations or ethnic groups are recruited into clinical trials because observations from one group may not necessarily inform what will happen in another. For example, based on the four CYP2D6 phenotype groups, poor metabolizers (PMs), intermediate metabolizers (IMs), normal metabolizers (NMs), and ultrarapid metabolizers (UMs), several studies have reported variable distributions of the CYP2D6 genotypes across-populations and this impacts on the metabolism and response to many drugs including antihypertensives such as β-blockers [50, 51].

African populations are genetically diverse with multiple ethnic groups [52]. The burden of hypertension also differs between ethnic groups. It appears that African populations are susceptible to severe forms of hypertension characterised by enhanced vascular contractility [53], increased salt retention [54–56], and therapeutic resistance [57]. All these factors contribute to higher morbidity, mortality, and significant economic costs in Africa. For example, in South Africa, the overall direct healthcare costs associated with hypertension were estimated to be nearly US $1 billion [58]. The same report states about 8.2 million South Africans are hypertensive equating to approximately US$ 125 per patient. Reports in Kenya, Ethiopia, and Rwanda have estimated average costs per patient of US$ 305 [59], US$ 92 [60], and US$ 25–US$ 80 [61], respectively. Considering the high costs associated with hypertension, one would also expect a significant decline in hypertension-related morbidities and mortalities in Africa. However, in some African studies, there are still reports estimating that nearly 50% of the patients on treatment struggle to achieve good BP responses [62].

In this review, we aim to give an overview on the pharmacogenetic studies of hypertension from population-based studies, clinical trials, case reports, and published controlled studies which have focussed on individuals of African ancestry or descent. This information is needed to improve public health decisions regarding the treatment and management of hypertension on the African continent.

2. Literature Review

Literature review was done by accessing PubMed/Medline and Google Scholar databases between January 2022 and February 2023. Searches were limited to articles that could only be accessed in full. Priority was given to articles that focused on the pharmacogenetics of hypertension in the people of African ancestry. The scope of our definition of African Ancestry included Black Africans, Mixed Ancestry Africans, African Americans, and Afro-Caribbeans. The review was narrowed and assessed the pharmacogenetic implications of genes associated with salt-sensitive hypertension, genes associated with the development/risk of hypertension, genes regulating the pharmacokinetics of antihypertensive drugs, genes associated with adverse drug reactions, and genes uncovered by genome-wide association analysis studies (GWAS) in individuals of African descent.

2.1. Summary of Literature Search Strategy and Results

Table 4 lists pharmacogenes that have been reported to be involved in the metabolism of antihypertensive drugs and genes associated with hypertension in African populations. Genes implicated in the pharmacogenetics of hypertension were identified in reported African genomic studies (Tables 4 and 5) and are discussed in this review.

2.2. Genes Reported to be Associated with Salt-Sensitive Hypertension among Africans

Several studies have pointed out that Africans are more susceptible to salt-sensitive hypertension [63–66]. Africans have been shown to retain an increased amount of sodium and water in the kidney than Europeans [67]. Salt-sensitive hypertension seems predominant among individuals from Southern and Central Africa [55, 68]. Specifically, studies have reported on hypertensive individuals from South Africa [69] and Kenya [70] who were found to have increased circulating sodium levels. The kidney is the main organ that regulates sodium and water balances, thus genes regulating these processes are of pharmacogenetics and pharmacodynamics importance. Thus, genetic variation in genes regulating kidney function plays a role in changes observed in sodium reabsorption [66], and these genes include CYP11B2, GRK4, NEDD4L, NPPA, SCNN1B, UMOD, CYP411, and WNK1, whose variants have been associated with salt-sensitive hypertension in Africans. In addition, variants in these genes have been reported to occur in high frequency among Africans specifically among the Kikuyu/Kalenjin of Kenya and Xhosa/Coloureds (or Mixed Ancestry) of South Africa [12].

There have been some pharmacogenetic studies for most of these genes except for the UMOD gene. The UMOD gene encodes a urinary protein called uromodulin and among the variants identified by Jones and colleagues [12], no pharmacogenetic studies had explored their functional significance. However, known variants in the UMOD gene such as rs1333226 (g.137485318T>C) and rs4293393 (c.-39-2490T>C) have been associated with hypertension and CKD among Africans [71, 72]. For example, rs4293393, which results in increased levels of uromodulin, influences BP outcomes upon treatment with furosemide. Furosemide is a common loop diuretic which functions by inhibiting sodium reabsorption in the proximal, distal tubules, and the thick ascending loop of Henle [73].

The SCNN1B gene located on chromosome 16p12.2 encodes the β-subunit of the epithelial sodium channel (ENaC) which regulates sodium ion and water reabsorption. Three missense variants in the SCNN1B gene, rs201279350 (c.617G>A, p.Arg206Gln), rs1799980 (c.1325G>T, p.Gly442Val), and rs149868979 (c.1688G>A, p.Arg563Gln) have been reported [12]. The R563Q variant is associated with overactivity of the ENaC and resistant hypertension in African and Mixed Ancestry groups of South Africa and may be associated with BP responses to sodium channel antagonists. Although MRAs such as spironolactone and eplerenone are highly efficacious drugs for resistant hypertension [74, 75], individuals harbouring the R563Q variant have poor response, needing the alternative use of amiloride as it directly blocks the ENaC [76]. The study by Jones et al. among Xhosa and Mixed Ancestry patients heterozygous for the R563Q variant and a high mean BP of 172/99, administration of 5–10 mg of amiloride as an add-on drug, led to a mean decrease in BP of 36/17 mmHg () demonstrating the crucial role played by pharmacogenetics in guiding therapy.

The GRK4 gene, located on chromosome region 4p16.3, encodes the G-protein coupled receptor 4 kinase enzyme which regulates BP through phosphorylation of G-protein coupled receptors (GPCR) [77]. In the kidney, these G-protein coupled receptors in turn control sodium reabsorption [78] which also highlights their role in salt-sensitive hypertension. Of the four GRK4 variants reported by Jones and colleagues [12], the GRK4 rs2960306 (c.194G>T, p.Arg65Leu), rs1024323 (c.425C>T, p.Ala142Val), and rs1801058 (c.1457T>C, p.Val486Ala) were previously reported to be associated with altered activity of the protein and hypertension. The GRK4 rs2960306 and rs1024323 variants occurring in exon 3 and 5, respectively, are frequent in African populations (MAF > 50%, Table 5) and have been reported to predict BP responses to sodium restriction among Africans [81] and were also found to influence responses to metoprolol [82] and atenolol [83] in African Americans.

According to Bhatnagar et al. (2009), African American male carriers of GRK4 V142 variant with early hypertensive nephrosclerosis on metoprolol therapy were more likely to reach a mean arterial pressure (MAP) of 107 mmHg as compared to A142 carriers. Participants with the A142 variant were also observed to be twice as less likely to reach a MAP target of 107 mmHg if they possessed the L65 variant. Metoprolol is not widely prescribed in African patients compared to atenolol which has a superior safety profile and a longer half-life; however, the study demonstrated how polymorphic GRK4 can contribute to BP responses to β-blockers. With regard to atenolol, the PEAR (pharmacogenomic evaluation of antihypertensive response) study showed that carriers of the 65L and 142V variant alleles presented with poor BP response [83]. Haplotype analysis also revealed that with increasing copies of the 65L-142V haplotype, worse BP responses were observed.

CYP11B2 gene encodes for the aldosterone synthase enzyme is located on chromosome region 8q24.3, codes for a protein which converts deoxycorticosterone into aldosterone [84]. This conversion is important for the synthesis of the hormone aldosterone which is a key regulator of BP through control of sodium and potassium levels in the body [85]. A variant in the promoter region of CYP11B2, rs1799998 (c.-344T>C), has been reported in approximately 19% of African Americans, Tunisians, and Egyptians (Table 5). Among Tunisians [86], the CYP11B2 c.-344T allele has been associated with elevated BP and stroke, while among Egyptians [87], spironolactone efficacy. Specifically, after spironolactone therapy, patients with heart failure and reduced ejection fraction (HfrEF) possessing the TT and TC genotypes had significant improvements in the left ventricular ejection fraction (LVEF), decreased left ventricular end systolic volume (LVESV), and left ventricular end diastolic volume (LVEDV) compared to CC genotypes. The CYP11B2 c.-344T>C SNP has significant pharmacogenetic implications, and beyond Africa, it has been reported to influence BP responses to other drugs such as benazepril [88], hydrochlorothiazide (HCT) [89], and valsartan [90] which are used by different populations across the world.

ENaC is another important gene in hypertension found on chromosome region 12p13. Its expression is regulated by the neural precursor cell expressed developmentally down-regulated 4-like (NEDD4L) gene located on chromosome 18q21.31 and encodes E3 ubiquitin ligases [91]. The NEDD4L protein binds to ENaC through ubiquitination which leads to channel endocytosis. This suppresses ENaC function and inhibits epithelial sodium transport [92, 93]. No studies have been done among Africans on the effects of genetic variation in NEDD4L, despite the crucial role it plays in influencing BP response. According to McDonough et al. [94], NEDD4L variants rs4149601 (c.49-16229G>A), rs292449 (c.-300G>C), and rs1008899 (c.-360G>A) seem not to be associated with BP response to HCT among African Americans. However, we still need studies to pronounce the effects of these variants in indigenous African populations.

The NPPA gene located on chromosome 1p36.22 encodes for the atrial natriuretic polypeptide (ANP) precursor [95, 96] and a common variant, NPPA rs5065 (T2238C, c.454T>C, p.Ter152Arg) has been reported to be associated with antihypertensive medication effects on cardiovascular disease and BP [97], results which emanated from a huge study assessing about 38,000 patients, of which 35% were Africans on different antihypertensive medication. Overall, the study reported that carriers of the C allele had better CVD outcomes than TT homozygous individuals when comparing chlorthalidone and amlodipine. TT genotype carriers had better outcomes when randomised to amlodipine. In addition, CC genotypes had greater reductions in SBP on chlorthalidone followed by amlodipine, doxazosin, and lisinopril, while those with the TT genotype experienced significantly less SBP reduction [97].

Other genes such as CYP4A11 and WNK1 genes also contribute to salt-sensitive hypertension, and variants have been implicated in the pharmacogenetics of antihypertensive drugs in individuals of African Ancestry. The CYP4A11 gene is located on chromosome 1p33 and encodes the CYP4A11 enzyme which converts arachidonic acid to 20-hydroxyeicosatetraenoic acid (20-HETE). The product, 20-HETE, in turn induces natriuresis through inhibition of the ENaC [98]. Given the significance of the CYP4A11 gene in regulating the ENaC, variants that reduce the activity of the enzyme may promote hypertension due to increased sodium/water retention and some variants have been reported to influence BP responses to drugs acting on the ENaC pathway. In a study by Laffer et al., the CYP4A11 rs3890011 (g.46933071G>C) (Table 5), was reported to influence BP responses upon spironolactone or amiloride treatment among African American hypertensives [99].

The WNK1 gene located on chromosome 12p13.33, having 150 kb, encodes a protein responsible for sodium ion regulation in the kidney [100, 101]. Reduced function of the protein may be implicated in the pathogenesis of hypertension. Three SNPs, rs2107614 (c.760-19729T>C), rs2277869 (c.7400-103T>C), and rs1159744 (c.933-1363G>C), with frequencies ranging from 18% to 47% in Africans (Table 5), encode a lysine deficient kinase. These SNPs have been linked to ambulatory BP responses to hydrochlorothiazide (HCT) among African Americans [102]. In this study, the rs1159744G>C was associated with the greatest decrease in ambulatory BP responses to HCT and was also associated with significant differences in urinary potassium excretion. A study by Masilela et al., among Nguni South African patients on HCT, reported an association of the WNK1 rs2107614 SNP with uncontrolled hypertension (>140/90 mmHg) [103].

The CYP3A5 gene has 14 exons, ∼33 kb long, and is located on chromosome 7q22.1. CYP3A5 is an important gene whose association with hypertension has been established in several studies and has also been linked to salt sensitivity. The CYP3A5 gene is expressed in the liver and extrahepatic tissues such as the small intestines and kidney [104]. In the kidney, CYP3A5 is responsible for the conversion of cortisol to 6-β-hydroxycortisol which enhances sodium and water retention, thereby contributing to hypertension. The levels of the CYP3A5 enzyme in the kidney have been reported to be high in individuals possessing CYP3A51 (rs15524, g.36708T>C) as compared to CYP3A53 (rs776746, g.99270539C>T) carriers [105]. This highlights that carriers of the CYP3A51 allele are at increased risk of developing salt-sensitive hypertension, and across ethnic groups, there are variable frequency distributions of the CYP3A51 allele. Interestingly, 70% of individuals of African descent [106] possess this allele compared to 7% among Europeans [107], which also may explain why Africans are more susceptible to salt-sensitive hypertension. The CYP3A53 variant is also a common variant that results in a CYP3A5 nonfunctional protein. Its distribution among African populations is variable; however, according to [104], high frequencies are observed with increasing distance from the equator which explains why the frequencies are higher in Europeans and Asians as compared to Africans (Table 5). Still, the frequencies in Africans are significant (>10%) and this means that this variant significantly affects drugs metabolised by CYP3A5 such as amlodipine. Other commonly studied variants, such as the CYP3A56 (rs10264272, 14690G>A) and 7 (rs41303343, 27131–27132insT), are also common among Africans and have been implicated in the production of a nonfunctional protein which means they may have an impact in the disposition of amlodipine [108]. However, a few pharmacogenetic studies in Africans have reported on role of CYP3A5 variants on therapeutic response to antihypertensive drugs.

2.3. Genes That Have Been Shown to be Associated with Hypertension in Africans

A systematic review by Mabhida et al. [29] outlines 53 genes that have been previously studied in African populations and have been associated with hypertension and/or risk. Among these are pharmacogenetic studies on ACE, ADBR2, GNB3, and NOS3 genes. The ACE gene, which is located on chromosome 17q23.3, encodes the angiotensin converting enzyme which is the primary target of ACE inhibitors such as enalapril. An insertion/deletion (I/D) variant, rs1799752, in the intron of the ACE gene has been linked to hypertension in studies among Tunisians, Egyptians, and black South Africans and has been shown to contribute to ACE-inhibitor-induced adverse reactions.

The ADBR2 gene found on chromosome 5q32 encodes the beta-2-adrenergic receptor. The beta-2-adrenergic receptors are predominant in smooth muscle cells and also in cardiac muscles cells and vascular endothelium. They bind to catecholamines and transmit signals through G-proteins and cyclic adenosine monophosphate (cAMP) which acts as a second messenger [109]. The ADBR2 rs2400707 SNP has been reported to influence BP responses to HCT among individuals of African Ancestry. In a study by Turner et al. [102], ADBR2 rs2400707G>A was reported to cause a significant reduction in ambulatory SBP, but not DBP, among the study participants who included Africans. The same SNP was also studied by Masilela et al. among South African Nguni tribes [103]. In this study, they show that A-allele carriers exhibited better BP control and were less likely to develop uncontrolled hypertension.

Guerra et al. [110] also investigated the influence of genetic variation in the ADBR2 gene together with the beta-1-adrenergic receptor (ADBR1) gene which is on chromosome 10q25.3, on differential survival in heart failure patients on beta-blockers. Here, they showed that ADBR2 rs1042714 (c.79G>T, p.Glu27Gln) and ADRB1 rs1801253 (c.1165G>C, p.Gly389Arg) SNPs influenced survival in heart failure patients taking a high beta-blocker dose, highlighting how pharmacogenetic markers may have a potential use in the creation of dosing algorithms in clinical practice.

The same study [110] investigated the influence of the rs5443 (c.825C>T) SNP in the GNB3 gene which encodes the guanine nucleotide-binding protein β-polypeptide 3, but did not report on the effects of this SNP. However, in other African studies, the SNP was identified in Tunisian populations [111] and has been linked to BP responses to thiazide diuretics in individuals of African descent [112]. In this study, Turner et al. observed that the T allele played a role in the reduction of SBP and DBP.

The SNPs rs1799983 (c.894T>G, p.Asp298Glu), rs2070744 (c.-149 + 1691C>T), and rs61722009 in the NOS3 gene have been associated with the risk of hypertension among Algerians [113] and Tunisians [114]. According to a study by Masilela et al., the rs2070744 SNP was associated with BP response to enalapril among Black South Africans [115]. However, the influence of this SNP was only significant in the presence of the rs699947 and rs495828 SNPs in the VEGFA and ABO genes, respectively. Specifically, the combination of the GG, CT, and CC genotypes for the rs495828, rs2070744, and rs699947 SNPs, respectively, was associated with uncontrolled hypertension.

2.4. Genes Regulating the Pharmacokinetics of Antihypertensive Drugs in Africans

Several studies have identified SNPs in genes that affect the pharmacokinetics of drugs used in the treatment of hypertension which include ABCB1, CES1, CYP2C9, CYP2D6, CYP3A4, CYP3A5, and SLCO1B1. CYP2D6 nonfunctional and reduced function variants have been profiled and identified among Africans [48, 116]. Among South Africans, Dandara et al. identified SNPs rs1045642, rs1128503, rs2235048, and rs3213619 in the ABCB1 gene; rs1799853 in the CYP2C9 gene; rs2740574 in the CYP3A4; and rs776746 in the CYP3A5 gene [117]. Out of all these SNPs, only the rs2740574 and rs776746 SNP have been reported to be associated with BP response to calcium channel blockers in individuals of African descent. According to Bhatnagar et al., BP response to amlodipine was associated with CYP3A4 genotypes in a gender-specific manner among African Americans. In this study, female A-allele carriers for the rs2740574 SNP had triple the chances of achieving a MAP target of 107 mm Hg, while C allele carriers for the rs35599367 SNP were associated with poor response to amlodipine irrespective of gender [118].

2.5. Genes Associated with Adverse Drug Reactions (ADR) in Africans

Poor response to antihypertensive drugs may be characterised either by failure to reach BP targets, or by the occurrence of adverse effects, which have been reported to occur in 25% of hypertensive patients [119, 120]. Multiple factors are responsible for the occurrence of adverse events including genetic predisposition. In African patients, a Nigerian study [119] profiled the occurrence of adverse events in hypertensive patients and reports that diuretics, ACE inhibitors, and CCBs accounted for 27.9%, 26.8%, and 26.8% of all adverse reactions, respectively. Although this is not representative of the profile of adverse events to antihypertensive drug use in the whole of Africa, there are reports that ACE inhibitor-induced adverse events are frequent in individuals of African descent [121]. The Pan-African Society of Cardiology (PASCAR) also mentions that the use of ACE inhibitors in African patients is associated with the risk of adverse events and recommends alternatives such as angiotensin receptor blockers (ARBs). However, the cost-effectiveness of ACE inhibitors over ARBs makes them widely used in African countries especially in hypertensive patients not experiencing ACE-induced adverse events [32].

The primary target of ACE inhibitors is the angiotensin converting enzyme that converts angiotensin I (Ang I) to angiotensin II (Ang II) which causes vasoconstriction, increased sodium, and fluid retention [122]. Furthermore, the angiotensin-converting enzyme also breaks down bradykinin. Thus, inhibition of the angiotensin-converting enzyme by ACE inhibitors results in reduced levels of Ang II, which is also coupled to increased levels of bradykinin, a vasodilator which exerts its effects through binding to the B2 receptor. The B2 receptor is coupled to G-proteins and the effects of bradykinin are through the GPCR signalling pathway [123, 124]. This demonstrates the crucial role played by the angiotensin converting enzyme and the B2 receptor in regulating BP. Thus, genetic variation in genes encoding these proteins has been the subject of a number of pharmacogenetic studies which have reported associations of genetic variants with ACE inhibitor-induced adverse events such as angioedema or cough and also BP response [125].

Our literature search identified one study among Africans [126] which reported on the angiotensin-converting enzyme gene insertion/deletion (I/D) polymorphism, while establishing an association of the 9/+9 insertion/deletion polymorphism in the B2 gene with ACE-induced angioedema and cough. Briefly, Black African and Mixed Ancestry participants in the study who were carriers of the −9/+9 genotype had ACE-induced angioedema or cough and this association remained true upon further analysis in the dominant model, which implicated the B2 −9 allele to the observed associations. It is the accumulation of bradykinin that results in angioedema and cough which accompanies ACE inhibitor use [126].

2.6. Genes and Loci Identified in GWAS Specific to African Descent Populations

The advent of newer and powerful genomic sequencing technologies has enabled researchers to perform more in-depth genomic studies such as genome-wide-association studies (GWAS) which search for small genetic variations (or SNPs) across the genome with wide coverage. This has been important in the study of complex conditions such as hypertension and GWAS have further uncovered novel genes or loci involved in BP regulation, progression of hypertension, and drug response [127]. Among these genes, the genes SLC25A31, LRRC15 [128], and loci such as the chromosome 12q [129] have been uncovered by GWAS and have been reported to influence BP responses to antihypertensive drugs in Africans.

A GWAS by Gong et al. [128] including African Americans, on atenolol and metoprolol therapy, identified SNPs in the SLC25A31 and LRRC15 genes associated with BP response. The SLC25A31 gene located on chromosome 4q28.1 encodes an ATP/ADP translocase that mediates ATP/ADP exchange in the mitochondrial matrix. In this study, an intronic variant SLC25A31 rs201279313 (c.232 + 5111_232 + 5113del), which is a deletion of TTA, was associated with DBP response to atenolol, metoprolol, and atenolol add-on therapy. Individuals possessing the TTA deletion had significant DBP reductions on atenolol, metoprolol, and atenolol add-on therapy, respectively, compared to the wild type genotype carriers. The LRRC15 gene is located on chromosomes 3q29 and encodes a 15-leucine-rich repeat containing membrane protein. In the same study, Gong et al. identified the intronic variant LRRC15 rs11313667 (c.16-387del) which has a MAF of 18% in Africans. This SNP was associated with BP reductions to β-blocker therapy, with significant BP reductions observed for SBPs among individuals on atenolol, metoprolol, and atenolol add-on therapy [128].

Turner et al. [129] also conducted a GWAS across 22 autosomes and identified the chromosome 12q15 loci harbouring SNPs rs317689, rs315135, and rs7297610 located near the LYZ, YEATS4, and FRS2 genes. This locus was found to be associated with DBP responses to HCT. Out of the haplotypes constructed from the rs317689, rs315135, and rs7297610 SNPs, the A-T-C haplotype was more frequent in African good responders, while A-C-T and A-T-T haplotypes were more frequent in African poor responders, respectively. This association appeared to be more common with the rs7297610 SNP. In this study, DBP response was mostly driven by variation in the YEATS4 gene, and upon further analysis, the YEATS4 gene remained more significantly associated with DBP response to HCT as compared to LYZ or FRS2 genes [129].

The association of the chromosome 12q15 locus with BP response was further confirmed by Duarte et al. [130] in a study including African Americans on HCT and atenolol. In this study, the rs7297610 SNP was significantly associated with BP response to HCT among African Americans. Carriers of the CC genotype had greater SBP and DBP responses to HCT compared to T-allele carriers. In addition, SNPs, rs10784780, and rs10878983 had significant influences on BP responses to HCT and appeared to be in linkage disequilibrium with each other. Gene expression analyses also showed that CC homozygotes had higher YEATS4 levels which decreased by 15% after HCT treatment further demonstrating the pharmacogenomic effect of the chromosome 12q locus. Masilela et al. [103] also reported on the rs7297610 SNP uncovered by GWAS. In this study, the T allele was found to be associated with uncontrolled hypertension among Swati and Zulu participants, while C allele carriers were less likely to have uncontrolled hypertension further confirming previous findings by Turner et al. [129, 130].

Resequencing of the chromosomal region 12q15 by Singh et al. [131] identified a novel SNP rs61747221 (c.1148C>T, p.Pro383Leu) in the BEST3 gene among the study participants which included African Americans. The rs61747221 SNP was significantly associated with BP responses to HCT. All analyses and subsequent analyses included African Americans and identified carriers of the A-allele (AA + AG) for the rs61747221 SNP to be associated with BP responses to HCT as compared to GG homozygotes.

3. Discussion and Future Prospects

Pharmacogenetic studies of antihypertensive drugs have explored the influence of genetics on drug response in Europeans and Asians as evident in reviews by Rysz et al. [21, 125, 132]. Our review focussed on presenting an African perspective on the pharmacogenetics of hypertension through assessing the pharmacogenetic implications of genes associated with salt-sensitive hypertension, genes associated with the development/risk of hypertension, genes regulating the pharmacokinetics of antihypertensive drugs, genes associated with adverse drug reactions, and genes uncovered by genome-wide association analysis studies (GWAS) in individuals of African descent. Overall, the synthesis of this review shows (i) a lack of genomics and pharmacogenetic studies focussing on hypertension in native African populations, (ii) that genes with pharmacogenetic implications highlighted in this review have variants which exist in significant frequencies (MAF > 5%) in African populations (Table 5), and (iii) that African populations may present with genetic variants that may not be reported in other populations, yet these variants play significant roles in determining therapeutic drug response.

Africans have been underrepresented in most genomics studies of hypertension. There is therefore little evidence to inform how Africans are likely to respond to most antihypertensive drugs. Africans may be more susceptible to salt-sensitive hypertension or resistant hypertension. The pharmacogenetic implications of genes associated with salt sensitivity in this review have been widely reported for African Americans but little is known in native African populations. Of the genes explored in Egyptian and South African pharmacogenetic studies, only the R563Q (c.1688G>A, p.Arg563Gln) variant in the SCNN1B gene has been validated in clinical studies. Currently, as part of routine clinical practise, genotyping for the R563Q variant in the β-subunit of the epithelial sodium channel (ENaC) is seen guiding BP therapy in South Africa. This demonstrates how genetics has the ability to guide BP therapies as carriers of this variant tend to respond better to amiloride treatment.

Polymorphisms in genes regulating pathways involved in hypertension have been linked to the development of hypertension and/or adverse CVD outcomes in African populations [29]. These genes are also important in predicting drug response; however, available pharmacogenetic studies in populations of African Ancestry have focussed on ADBR2, GNB3, and NOS3 genes although a substantial number of genes have been reported to be associated with hypertension. The few African studies exploring the influence of genetic variation in the ADBR2 and NOS3 genes on HCT and enalapril have reported on significant associations with uncontrolled hypertension, and these need to be replicated in other ethnic groups.

Pharmacokinetics of a drug governs its absorption, distribution, metabolism, elimination, and transport (ADMET) [133]. Most antihypertensive drugs do not undergo first pass metabolism [134] and the few that do such as CCBs, β-blockers, some ACEI, and some ARBs are metabolised by enzymes and proteins encoded for by ABCB1, CES1, CYP2C9, CYP2D6, CYP3A4, CYP3A5, and SLCO1B1 genes. No pharmacogenetic studies were identified in native African populations assessing the implications of genetic variants in these genes on BP response. However, among African American populations, genetic variation in CYP3A4 and CYP3A5 genes has been linked to BP responses to amlodipine [118]. These pharmacokinetic genes are highly polymorphic, and some polymorphisms may encode reduced or nonfunctional enzymes or transporters. This leads to altered BP response and/or accumulation of the parent drug or its metabolites contributing to adverse drug reactions (ADR).

Antihypertensive ADRs may be mild, and some may be potentially life threatening such as ACE inhibitor-induced angioedema [126]. According to Leporini et al. [135], ADRs are a key factor contributing to poor medication adherence and contribute to poor control of many chronic diseases including hypertension [136]. In addition to genetic variation in pharmacokinetic genes, variation in pharmacodynamics genes also contribute to ADRs. Currently, a few studies have examined the impact of these genes and the incidence of ADRs in African populations.

Genome-wide association studies (GWAS) have been of critical importance in pharmacogenetic studies of hypertension in European and Asian populations. This approach has facilitated the discovery of novel variants associated with BP response to antihypertensive drugs. In our search, we could not identify any GWAS conducted in Africa. This limits the equitability in the development of hypertension association studies, and polygenic risk scores, their applications to understand hypertension aetiology, and their evaluation for the clinical utility to advance predictive and preventative medicine. However, some GWAS conducted have included African Americans and have uncovered loci and genes which have an influence on BP responses to HCT and β-blockers [128–130]. There still remains a need to replicate these findings from GWAS especially in African populations living in Africa.

On the other hand, current GWAS, polygenic risk scores models, and pharmacogenetic studies have not been comprehensively evaluated in large samples of admixed and African-descent populations and face critical challenges in cross-population transferability. We hypothesize that understanding and then appropriately modelling the different aspects of African genetic architecture have the potential to achieve unbiased and powerful estimates of genetic risk across African, multiethnic, and admixed populations. There is therefore an urgent need to optimize GWAS, polygenic risk scores models, and pharmacogenetic studies for analysing admixed and African-descent genetic epidemiological data given the rich complexity and diversity of their genetic characteristics and the emerging proliferation of next generation sequencing technologies.

Due to lack of data, extrapolations on Africans have been done from African American populations in most pharmacogenetic studies, which is not accurate due to the huge genetic diversity of African populations. We call upon for concerted efforts to carry out massive genomics studies on African populations including pharmacogenomics as it is listed as one of the five priorities for genomics in Africa [137].

3.1. Presenting a Case for Africa and Concluding Remarks

Cardiovascular diseases have been the topmost leading cause of death globally. Africa has not been spared in mortalities due to cardiovascular diseases and deaths have been seen to be rising in past years with hypertension being the leading risk factor. This has called for the need for better, more efficient, and cost-effective solutions to manage hypertension and pharmacogenetics has a potential of integrating all these solutions. However, the mammoth challenge is that there are currently limited pharmacogenetic studies in African populations focussing on hypertension and therefore the potential of pharmacogenetics cannot be fully harnessed as studies are few to bridge the gap between clinical implementations of pharmacogenetics [137, 138].

As we are in an era of evidence based medicine, where a patient’s diagnosis, prognosis, and even therapy are dependent on findings from the best scientific evidence from clinical research [139], more pharmacogenetic studies on hypertension in African populations could actually be a precursor towards a pharmacogenetic-based approach for the treatment of hypertension. However, there is a need to gather data on the prevalence of hypertension and its subtypes as an initial step, including treatment strategies in different African countries. This will provide a basis for future pharmacogenetic studies and assist in identifying which countries where hypertension pharmacogenetic studies should be prioritised, further assisting stake-holder decision making. There are already wide differences in the prevalence of hypertension between African countries with some bearing a high burden, thus public health sector priorities differ by country [140].

Pharmacogenetics presents as an attractive approach for optimum management of hypertension in Africa. Most hypertensive individuals, especially Africans, are rarely on one drug but require multiple drugs to keep their BP controlled. This most often involves a number of trial and error approaches until optimal drug combinations are found. Pharmacogenetics has the ability to assist in “tailor-making” drug/doses [141] and has the potential to contribute to better outcomes including reduced occurrence adverse drug events, fewer hospital visits, reduced number of drugs per patient, and better adherence to medication, consequently reducing cardiovascular morbidities and mortalities in the context of hypertension.

In other parts of the world, where pharmacogenetic implementation studies have been carried out, clinicians have reported improved clinical outcomes in patients who had undergone pharmacogenetic testing prior [38, 142–144]. As a result, dosing algorithms for drugs/drug classes such as clopidogrel, tamoxifen, and warfarin/statins [145–147], have now been developed for Europeans and Asians and these are now gaining momentum in Africa, with promising potential for implementation, as more data are being generated for native and admixed African populations [43, 46, 47, 138, 148, 149]. For hypertension, only metoprolol has dosing guidelines based on CYP2D6 genotypes proposed by the DPWG. However, the recommendations have limited applications for African populations [49]. Furthermore, genotyping, for the R563Q (c.1688G>A, p.Arg563Gln) variant in the SCNN1B gene, is seen guiding amiloride therapy in South Africa. However, there is still room for expanding the spectrum of genes and variants that can be used to guide antihypertensive drug therapy since hypertension is a polygenic condition.

It is a well-known fact that Africa is also heavily burdened by infectious diseases such as HIV/AIDs and schistosomiasis. This has, in past years, stimulated stakeholder interest and funds have been mobilised to support research in these areas. Researchers across Africa have actively participated in pharmacogenetic research in this area with emanated dosing guidelines for efavirenz and praziquantel [150–152], which have found their way into the clinic. The same could also be realised for hypertension, where genetics could inform therapy seeing that it has now been “dubbed” a major public health concern in Africa after HIV/AIDs [3, 6]. To further strengthen our case, pharmacogenetics is a proven cost-cutting solution to medication costs. A study by Javis et al. reports a US $7000 reduction per patient in medical costs for patients who underwent pre-emptive pharmacogenetic testing, an observation also supported by a recent study by Swen et al. [153, 154]. Given that a pharmacogenetic test is for life, this would be a huge cut down on treatment costs, especially for low-middle income African countries burdened by hypertension.

Thus, there needs to be active participation towards the consolidation of pre-emptive pharmacogenetic testing and pharmacogenetic-guided dosing algorithms into clinical practise in Africa, especially for hypertension. This may include mobilisation of systems ensuring access to facilities and infrastructure that offer pharmacogenetic-based testing or treatment as a standard part of care, pre- and postpharmacogenetic counselling, pharmacovigilance, and training for healthcare providers [143]. One of the United Nations (UN) sustainable development goals is a one-third reduction in deaths due to NCDs by the year 2030. Therefore, we call on policy makers in Africa and international partners to provide the necessary environment (funding and easy of movement) to enable researchers to engage and foster collaborative activities that will lead to the decoding of the genomic variation among African populations which affects disease susceptibility and therapeutic drug responses.

Hypertension is a modifiable risk factor for CVDs and can be manageable through effective treatment. Thus, more pharmacogenetic research in this area can help unravel crucial pharmacogenes and variants, with potential for clinical translation that may improve the quality of life in African patients. This may seem as a daunting task; however, the vision has already been conceptualised by the African Pharmacogenomics Consortium (APC) [155], which has proposed strategies towards the implementation and consolidation of pharmacogenetics in Africa which are highly relevant for noncommunicable diseases such as hypertension.

Data Availability

No data were used to support this study.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Acknowledgments

The authors would like to thank the South African Medical Research Council (SAMRC) Strategic Health Innovation Partnership (SHIP) (Pharmacogenomics in Precision Medicine) under the title “Pharmacogenomics of Cardiovascular Diseases: Focussing on Dyslipidaemia and Hypertension (PRECODE) and the University of Cape Town for funding assistance.

References

J. R. Sharma, S. E. Mabhida, B. Myers et al., “Prevalence of hypertension and its associated risk factors in a rural black population of mthatha Town, South Africa,” International Journal of Environmental Research and Public Health, vol. 18, no. 3, 2021.
View at: Publisher Site | Google Scholar
Who, “World health organisation (WHO),” 2022, https://www.who.int/news-room/fact-sheets/detail/hypertension.
View at: Google Scholar
D. Adeloye and C. Basquill, “Estimating the prevalence and awareness rates of hypertension in Africa: a systematic analysis,” PLoS One, vol. 9, no. 8, Article ID e104300, 2014.
View at: Publisher Site | Google Scholar
Who, “Global health estimates 2019: deaths by cause, age, sex, by country and by region, 2000-2019,” 2020, https://www.who.int/docs/default-source/gho-documents/global-health-estimates/ghe2019_cod_whoregion_2000_20195a48bd71-f222-4b00-90e6-b5078fbfc4db.xlsx?sfvrsn=4aed7378_7.
View at: Google Scholar
J. P. Kalehoff and S. Oparil, “The story of the silent killer: a history of hypertension: its discovery, diagnosis, treatment, and debates,” Current Hypertension Reports, vol. 22, no. 9, p. 72, 2020.
View at: Publisher Site | Google Scholar
S. van de Vijver, H. Akinyi, S. Oti et al., “Status report on hypertension in africa-consultative review for the 6th session of the african union conference of ministers of health on NCD's,” Pan Afr Med J, vol. 16, p. 38, 2013.
View at: Publisher Site | Google Scholar
Who, More than 700 Million People with Untreated Hypertension: Number of People living with hypertension has doubled to 1.28 billion since 1990, World Health Organization, Geneva, Switzerland, 2021.
C. J. Charlesworth, E. Smit, D. S. Lee, F. Alramadhan, and M. C. Odden, “Polypharmacy among adults aged 65 Years and older in the United States: 1988-2010,” The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, vol. 70, no. 8, pp. 989–995, 2015.
View at: Publisher Site | Google Scholar
W. Akande, A. Lawrence, and O. Olowookere, “Potentially inappropriate medication use among older patients attending a geriatric centre in south-west Nigeria,” Pharmacy Practice, vol. 16, pp. 1–7, 2018.
View at: Publisher Site | Google Scholar
B. M. Egan, Y. Zhao, and R. N. Axon, “US trends in prevalence, awareness, treatment, and control of hypertension, 1988-2008,” JAMA, vol. 303, no. 20, pp. 2043–2050, 2010.
View at: Publisher Site | Google Scholar
V. J. Howard, M. Cushman, L. Pulley et al., “The reasons for geographic and racial differences in stroke study: objectives and design,” Neuroepidemiology, vol. 25, no. 3, pp. 135–143, 2005.
View at: Publisher Site | Google Scholar
E. S. Jones, J. D. Spence, A. D. Mcintyre et al., “High frequency of variants of candidate genes in black Africans with low renin-resistant hypertension,” American Journal of Hypertension, vol. 30, no. 5, pp. 478–483, 2017.
View at: Publisher Site | Google Scholar
M. A. Fravel and M. Ernst, “Drug interactions with antihypertensives,” Current Hypertension Reports, vol. 23, no. 3, p. 14, 2021.
View at: Publisher Site | Google Scholar
C. E. Huggins, A. Worsley, C. Margerison, M. K. Jorna, and C. A. Nowson, “Blood pressure response to dietary modification is associated with use of anti-hypertensive therapy,” Proceedings of the Nutrition Society, vol. 69, no. 1, p. E83, 2010.
View at: Publisher Site | Google Scholar
A. Grossman and E. Grossman, “Blood pressure control in type 2 diabetic patients,” Cardiovascular Diabetology, vol. 16, no. 1, p. 3, 2017.
View at: Publisher Site | Google Scholar
S. V. Nedogoda, A. A. Ledyaeva, E. V. Chumachok et al., “Randomized trial of perindopril, enalapril, losartan and telmisartan in overweight or obese patients with hypertension,” Clinical Drug Investigation, vol. 33, no. 8, pp. 553–561, 2013.
View at: Publisher Site | Google Scholar
N. E. Thomford, K. Dzobo, D. Chopera et al., “Pharmacogenomics implications of using herbal medicinal plants on african populations in health transition,” Pharmaceuticals, vol. 8, no. 3, pp. 637–663, 2015.
View at: Publisher Site | Google Scholar
D. Macquart de Terline, A. Kane, K. E. Kramoh et al., “Factors associated with poor adherence to medication among hypertensive patients in twelve low and middle income Sub-Saharan countries,” PLoS One, vol. 14, no. 7, Article ID e0219266, 2019.
View at: Publisher Site | Google Scholar
A. Liwa, R. Roediger, H. Jaka et al., “Herbal and alternative medicine use in Tanzanian adults admitted with hypertension-related diseases: a mixed-methods study,” International Journal of Hypertension, vol. 2017, Article ID 5692572, 9 pages, 2017.
View at: Publisher Site | Google Scholar
P. Cavagna, K. E. Kramoh, A. Sidy Ali et al., “The importance of considering cultural and environmental elements in an interventional model of care to fight hypertension in Africa,” Journal of Clinical Hypertension, vol. 23, no. 6, pp. 1269-1270, 2021.
View at: Publisher Site | Google Scholar
J. Rysz, B. Franczyk, M. Rysz-Górzyńska, and A. Gluba-Brzózka, “Pharmacogenomics of hypertension treatment,” International Journal of Molecular Sciences, vol. 21, no. 13, p. 4709, 2020.
View at: Publisher Site | Google Scholar
V. Arshad, Z. Samad, J. Das et al., “Prescribing patterns of antihypertensive medications in low- and middle-income countries: a systematic review,” Asia-Pacific Journal of Public Health, vol. 33, no. 1, pp. 14–22, 2021.
View at: Publisher Site | Google Scholar
B. K. Simegn, L. Chelkeba, and B. D. Alamirew, “Clinicians' prescribing pattern, rate of patients' medication adherence and its determinants among adult hypertensive patients at Jimma University Medical Center: prospective cohort study,” PLoS One, vol. 16, no. 11, Article ID e0259421, 2021.
View at: Publisher Site | Google Scholar
V. Basopo and P. N. Mujasi, “To what extent do prescribing practices for hypertension in the private sector in Zimbabwe follow the national treatment guidelines? An analysis of insurance medical claims,” Journal of Pharmaceutical Policy and Practice, vol. 10, no. 1, p. 37, 2017.
View at: Publisher Site | Google Scholar
N. Schellack and P. Naicker, “Hypertension: a review of antihypertensive medication,” South African Pharmaceutical Journal, vol. 87, no. 5, p. 20, 2020.
View at: Google Scholar
MayoClinic, “High blood pressure (hypertension),” 2022, https://www.mayoclinic.org/diseases-conditions/high-blood-pressure/diagnosis-treatment/drc-20373417#:%7E:text=Angiotensin%2Dconverting%20enzyme%20(ACE),chemical%20that%20narrows%20blood%20vessels.
View at: Google Scholar
P. A. Harris, R. Taylor, R. Thielke et al., “Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support,” Journal of Biomedical Informatics, vol. 42, no. 2, pp. 377–381, 2009.
View at: Publisher Site | Google Scholar
P. A. Harris, R. Taylor, L. M. Brenda et al., “The REDCap consortium: building an international community of software platform partners,” Journal of Biomedical Informatics, vol. 95, Article ID 103208, 2019.
View at: Publisher Site | Google Scholar
S. E. Mabhida, L. Mashatola, M. Kaur et al., “Hypertension in African populations: review and computational insights,” Genes, vol. 12, no. 4, p. 532, 2021.
View at: Google Scholar
A. F. Rubio-Guerra, D. Castro-Serna, C. I. Barrera, and L. M. Ramos-Brizuela, “Current concepts in combination therapy for the treatment of hypertension: combined calcium channel blockers and RAAS inhibitors,” Integrated Blood Pressure Control, vol. 2, pp. 55–62, 2009.
View at: Publisher Site | Google Scholar
C. Guerrero-García and A. F. Rubio-Guerra, “Combination therapy in the treatment of hypertension,” Drugs In Context, vol. 7, Article ID 212531, 2018.
View at: Publisher Site | Google Scholar
E. S. Jones, A. Damasceno, E. N. Ogola, D. B. Ojji, A. Dzudie, and B. L. Rayner, “PASCAR commentary on the International Society of Hypertension global guidelines 2020: relevance to sub-Saharan Africa,” Cardiovasc J Afr, vol. 31, no. 6, pp. 325–329, 2020.
View at: Publisher Site | Google Scholar
T. Unger, C. Borghi, F. Charchar et al., “2020 international society of hypertension global hypertension practice guidelines,” Hypertension, vol. 75, no. 6, pp. 1334–1357, 2020.
View at: Publisher Site | Google Scholar
J. E. Hall, J. P. Granger, J. M. do Carmo et al., “Hypertension: physiology and pathophysiology,” Comprehensive Physiology, vol. 2, no. 4, pp. 2393–2442, 2012.
View at: Publisher Site | Google Scholar
P. A. James, B. L. Suzanne Oparil, W. C. Carter et al., “Evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the eighth joint national committee (JNC 8),” JAMA, vol. 311, no. 5, pp. 507–520, 2014.
View at: Publisher Site | Google Scholar
Y. Jin, J. Wang, M. Bachtiar, S. S. Chong, and C. G. L. Lee, “Architecture of polymorphisms in the human genome reveals functionally important and positively selected variants in immune response and drug transporter genes,” Human Genomics, vol. 12, no. 1, p. 43, 2018.
View at: Publisher Site | Google Scholar
E. Tata, M. A. Ambele, and M. S. Pepper, “Barriers to implementing clinical pharmacogenetics testing in sub-saharan Africa. A critical review,” Pharmaceutics, vol. 12, no. 9, p. 809, 2020.
View at: Publisher Site | Google Scholar
D. Connelly, “First pharmacogenomic testing service to be launched by pharmacy multiple later in 2022,” 2022, https://pharmaceutical-journal.com/article/news/first-pharmacogenomic-testing-service-to-be-launched-by-pharmacy-multiple-later-in-2022.
View at: Google Scholar
T. Nemaura, C. Nhachi, and C. Masimirembwa, “Impact of gender, weight and CYP2B6 genotype on efavirenz exposure in patients on HIV/AIDS and TB treatment: implications for individualising therapy,” African Journal of Pharmacy and Pharmacology, vol. 6, no. 29, pp. 2188–2193, 2012.
View at: Google Scholar
E. Ngaimisi, S. Mugusi, O. Minzi et al., “Effect of rifampicin and CYP2B6 genotype on long‐term efavirenz autoinduction and plasma exposure in HIV patients with or without tuberculosis,” Clinical Pharmacology & Therapeutics, vol. 90, no. 3, pp. 406–413, 2011.
View at: Google Scholar
A. Olagunju, O. Bolaji, A. Amara et al., “Pharmacogenetics of pregnancy‐induced changes in efavirenz pharmacokinetics,” Clinical Pharmacology & Therapeutics, vol. 97, no. 3, pp. 298–306, 2015.
View at: Google Scholar
M. Swart, J. Evans, M. Skelton et al., “An expanded analysis of pharmacogenetics determinants of efavirenz response that includes 3′-UTR single nucleotide polymorphisms among Black South African HIV/AIDS patients,” Frontiers in Genetics, vol. 6, p. 356, 2016.
View at: Google Scholar
N. D. Soko, C. Masimirembwa, and C. Dandara, “Pharmacogenomics of Rosuvastatin: a glocal (global+ local) African perspective and expert review on a statin drug,” OMICS: A Journal of Integrative Biology, vol. 20, no. 9, pp. 498–509, 2016.
View at: Google Scholar
B. A. Adeagbo, B. Oo, T. A. Olugbade, D. Ma, R. A. Bolarinwa, and C. Masimirembwa, “Influence of CYP 3A5∗ 3 and ABCB 1 C3435T on clinical outcomes and trough plasma concentrations of imatinib in Nigerians with chronic myeloid leukaemia,” Journal of Clinical Pharmacy and Therapeutics, vol. 41, no. 5, pp. 546–551, 2016.
View at: Google Scholar
R. F. Mutagonda, A. R. Appolinary, M. Omary et al., “Effect of pharmacogenetics on plasma lumefantrine pharmacokinetics and malaria treatment outcome in pregnant women,” Malaria Journal, vol. 16, no. 1, pp. 1–10, 2017.
View at: Google Scholar
A. Ndadza, S. Muyambo, P. Mntla et al., “Profiling of warfarin pharmacokinetics-associated genetic variants: black Africans portray unique genetic markers important for an African specific warfarin pharmacogenetics-dosing algorithm,” Journal of Thrombosis and Haemostasis, vol. 19, no. 12, pp. 2957–2973, 2021.
View at: Publisher Site | Google Scholar
A. Ndadza, N. E. Thomford, S. Mukanganyama, A. Wonkam, M. Ntsekhe, and C. Dandara, “The genetics of warfarin dose-response variability in Africans: an expert perspective on past, present, and future,” OMICS, vol. 23, no. 3, pp. 152–166, 2019.
View at: Publisher Site | Google Scholar
S. Muyambo, A. Ndadza, N. D. Soko et al., “Warfarin pharmacogenomics for precision medicine in real-life clinical practice in southern Africa: harnessing 73 variants in 29 pharmacogenes,” OMICS, vol. 26, no. 1, pp. 35–50, 2022.
View at: Publisher Site | Google Scholar
J. J. Swen, M. Nijenhuis, A. de Boer et al., “Pharmacogenetics: from bench to byte--an update of guidelines,” Clinical Pharmacology & Therapeutics, vol. 89, no. 5, pp. 662–673, 2011.
View at: Publisher Site | Google Scholar
J. Lefebvre, L. Poirier, P. Poirier, J. Turgeon, and Y. Lacourciere, “The influence of CYP2D6 phenotype on the clinical response of nebivolol in patients with essential hypertension,” British Journal of Clinical Pharmacology, vol. 63, no. 5, pp. 575–582, 2007.
View at: Publisher Site | Google Scholar
I. S. Hamadeh, T. Y. Langaee, R. Dwivedi et al., “Impact of CYP2D6 polymorphisms on clinical efficacy and tolerability of metoprolol tartrate,” Clinical Pharmacology & Therapeutics, vol. 96, no. 2, pp. 175–181, 2014.
View at: Publisher Site | Google Scholar
A. R. Martin, S. Teferra, M. Möller, E. G. Hoal, and M. J. Daly, “The critical needs and challenges for genetic architecture studies in Africa,” Current Opinion in Genetics &amp; Development, vol. 53, pp. 113–120, 2018.
View at: Publisher Site | Google Scholar
J. M. H. W. H. Van Rooyen, F. C. Eloff, P. J. Laubscher, L. Malan, H. S. Steyn, and N. T. Malan, “Cardiovascular reactivity in Black South-African males of different age groups: the influence of urbanization,” Ethnicity & Disease, vol. 12, no. 1, pp. 69–75, 2002.
View at: Google Scholar
M. G. Worthington, M. C. Wendt, and L. H. Opie, “Sodium transport in hypertension: assessment of membrane-associated defects in South African black and white hypertensives,” Journal of Human Hypertension, vol. 7, no. 3, pp. 291–297, 1993.
View at: Google Scholar
M'Buyamba-Kabangu, Jean-Rene, B. O. M. P. E. L. A. Lepira et al., “Intracellular sodium and the response to nitrendipine or atenolol in African blacks,” Hypertension, vol. 11, no. 1, pp. 100–105, 1988.
View at: Google Scholar
R. M. Touyz, F. J. Milne, and S. G. Reinach, “Platelet and erythrocyte Mg2+, Ca2+, Na+, K+ and cell membrane adenosine triphosphatase activity in essential hypertension in blacks,” Journal of Hypertension, vol. 10, no. 6, pp. 571–578, 1992.
View at: Google Scholar
N. Jobert Richie, J. J. N. Noubiap, M. K. Mengnjo et al., “The highly neglected burden of resistant hypertension in Africa: a systematic review and meta-analysis,” BMJ Open, vol. 6, no. 9, Article ID e011452, 2016.
View at: Publisher Site | Google Scholar
Kohli-Lynch, N. Ciaran, A. Erzse, B. Rayner, and J. Karen, “Hypertension in the South African public healthcare system: a cost-of-illness and burden of disease study,” BMJ Open, vol. 12, no. 2, Article ID e055621, 2022.
View at: Publisher Site | Google Scholar
R. Oyando, M. Njoroge, P. Nguhiu et al., “Patient costs of hypertension care in public health care facilities in Kenya,” The International Journal of Health Planning and Management, vol. 34, no. 2, pp. e1166–e1178, 2019.
View at: Publisher Site | Google Scholar
E. Adane, A. Atnafu, and A. Y. Aschalew, “The cost of illness of hypertension and associated factors at the university of gondar comprehensive specialized hospital northwest Ethiopia,” Clinicoecon Outcomes Res, vol. 12, pp. 133–140, 2018.
View at: Publisher Site | Google Scholar
D. Ndagijimana, “The cost of providing hypertension health care in public health facilities case study of the NCD clinic at Rwinkwavu district hospital,” Journal of Public Health, vol. 2, pp. 35–40, 2020.
View at: Publisher Site | Google Scholar
K. Pender and O. Omole, “Blood pressure control and burden of treatment in South African primary healthcare: a cross-sectional study,” Afr J Prim Health Care Fam Med, vol. 11, no. 1, 2019.
View at: Publisher Site | Google Scholar
M. H. Weinberger, “Salt sensitivity of blood pressure in humans,” Hypertension, vol. 27, no. 3 Pt 2, pp. 481–490, 1996.
View at: Publisher Site | Google Scholar
M. H. Weinberger and N. S. Fineberg, “Sodium and volume sensitivity of blood pressure. Age and pressure change over time,” Hypertension, vol. 18, no. 1, pp. 67–71, 1991.
View at: Publisher Site | Google Scholar
F. J. He, J. Li, and G. A. Macgregor, “Effect of longer term modest salt reduction on blood pressure: cochrane systematic review and meta-analysis of randomised trials,” BMJ, vol. 346, Article ID f1325, 2013.
View at: Publisher Site | Google Scholar
E. Jones and B. Rayner, “The importance of the epithelial sodium channel in determining salt sensitivity in people of African origin,” Pediatric Nephrology, vol. 36, no. 2, pp. 237–243, 2021.
View at: Publisher Site | Google Scholar
J. H. Pratt, W. T. Ambrosius, R. Agarwal, G. J. Eckert, and S. Newman, “Racial difference in the activity of the amiloride-sensitive epithelial sodium channel,” Hypertension, vol. 40, no. 6, pp. 903–908, 2002.
View at: Publisher Site | Google Scholar
R. Edwards, N. Unwin, F. Mugusi et al., “Hypertension prevalence and care in an urban and rural area of Tanzania,” Journal of Hypertension, vol. 18, no. 2, pp. 145–152, 2000.
View at: Google Scholar
S. Hoosen, Y. K. Seedat, and B. Ai, “A study of urinary and intracellular sodium and potassium, renin, aldosterone, and hypertension in blacks and Indians in Natal,” Cardiovascular Drugs and Therapy, vol. 4, no. 2, pp. 363–365, 1990.
View at: Google Scholar
N. R. Poulter, K. T. Khaw, B. E. C. Hopwood et al., “The Kenyan Luo migration study: observations on the initiation of a rise in blood pressure,” British Medical Journal, vol. 300, no. 6730, pp. 967–972, 1990.
View at: Google Scholar
N. U. Nqebelele, C. Dickens, T. Dix-Peek, R. Duarte, and S. Naicker, “Urinary uromodulin levels and UMOD variants in black South Africans with hypertension-attributed chronic kidney disease,” The Internet Journal of Nephrology, vol. 2019, Article ID 8094049, 18 pages, 2019.
View at: Publisher Site | Google Scholar
M. Trudu, S. Janas, C. Lanzani et al., “Common noncoding UMOD gene variants induce salt-sensitive hypertension and kidney damage by increasing uromodulin expression,” Nature Medicine, vol. 19, no. 12, pp. 1655–1660, 2013.
View at: Publisher Site | Google Scholar
S. S. Shankar and D. C. Brater, “Loop diuretics: from the Na-K-2Cl transporter to clinical use,” American Journal of Physiology - Renal Physiology, vol. 284, no. 1, pp. F11–F21, 2003.
View at: Publisher Site | Google Scholar
C. S. Oxlund, J. E. Henriksen, L. Tarnow, K. Schousboe, J. Gram, and I. A. Jacobsen, “Low dose spironolactone reduces blood pressure in patients with resistant hypertension and type 2 diabetes mellitus: a double blind randomized clinical trial,” Journal of Hypertension, vol. 31, no. 10, pp. 2094–2102, 2013.
View at: Publisher Site | Google Scholar
M. K. Nishizaka, M. A. Zaman, and D. A. Calhoun, “Efficacy of low-dose spironolactone in subjects with resistant hypertension,” American Journal of Hypertension, vol. 16, no. 11 Pt 1, pp. 925–930, 2003.
View at: Publisher Site | Google Scholar
J. D. Spence, “Lessons from Africa: the importance of measuring plasma renin and aldosterone in resistant hypertension,” Canadian Journal of Cardiology, vol. 28, no. 3, pp. 254–257, 2012.
View at: Publisher Site | Google Scholar
P. Penela, C. Murga, C. Ribas, A. S. Tutor, S. Peregrín, and F. Mayor Jr., “Mechanisms of regulation of G protein-coupled receptor kinases (GRKs) and cardiovascular disease,” Cardiovascular Research, vol. 69, no. 1, pp. 46–56, 2006.
View at: Publisher Site | Google Scholar
Y. Yang, M. Li, X. Zou et al., “Role of GRK4 in the regulation of the renal ETB receptor in hypertension,” The FASEB Journal, vol. 34, no. 9, pp. 11594–11604, 2020.
View at: Publisher Site | Google Scholar
A. Auton, G. R. Abecasis, D. M. Altshuler et al., “A global reference for human genetic variation,” Nature, vol. 526, no. 7571, pp. 68–74, 2015.
View at: Publisher Site | Google Scholar
H. Rajeevan, M. V. Osier, K. H. Cheung et al., “ALFRED: the ALelle FREquency database. Update,” Nucleic Acids Research, vol. 31, no. 1, pp. 270-271, 2003.
View at: Publisher Site | Google Scholar
B. Rayner and R. Ramesar, “The importance of G protein-coupled receptor kinase 4 (GRK4) in pathogenesis of salt sensitivity, salt sensitive hypertension and response to antihypertensive treatment,” International Journal of Molecular Sciences, vol. 16, no. 3, pp. 5741–5749, 2015.
View at: Publisher Site | Google Scholar
V. Bhatnagar, D. T. O'Connor, V. H. Brophy et al., “G-protein-coupled receptor kinase 4 polymorphisms and blood pressure response to metoprolol among African Americans: sex-specificity and interactions,” American Journal of Hypertension, vol. 22, no. 3, pp. 332–338, 2009.
View at: Publisher Site | Google Scholar
A. G. Vandell, M. T. Lobmeyer, B. E. Gawronski et al., “G protein receptor kinase 4 polymorphisms: β-blocker pharmacogenetics and treatment-related outcomes in hypertension,” Hypertension, vol. 60, no. 4, pp. 957–964, 2012.
View at: Publisher Site | Google Scholar
L. Dumeny, O. Vardeny, F. Edelmann, B. Pieske, J. D. Duarte, and L. H. Cavallari, “NR3C2 genotype is associated with response to spironolactone in diastolic heart failure patients from the Aldo-DHF trial,” Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy, vol. 41, no. 12, pp. 978–987, 2021.
View at: Publisher Site | Google Scholar
J. E. Hall, J. M. do Carmo, A. A. da Silva, Z. Wang, and M. E. Hall, “Obesity, kidney dysfunction and hypertension: mechanistic links,” Nature Reviews Nephrology, vol. 15, no. 6, pp. 367–385, 2019.
View at: Publisher Site | Google Scholar
S. Saidi, T. Mahjoub, and W. Y. Almawi, “Aldosterone synthase gene (CYP11B2) promoter polymorphism as a risk factor for ischaemic stroke in Tunisian Arabs,” Journal of the Renin-Angiotensin-Aldosterone System, vol. 11, no. 3, pp. 180–186, 2010.
View at: Publisher Site | Google Scholar
N. M. Sarhan, M. H. Shahin, N. M. El Rouby et al., “Effect of genetic and nongenetic factors on the clinical response to mineralocorticoid receptor antagonist therapy in Egyptians with heart failure,” Clin Transl Sci, vol. 13, no. 1, pp. 195–203, 2020.
View at: Publisher Site | Google Scholar
B. G. Nordestgaard, K. Kontula, M. Benn et al., “Effect of ACE insertion/deletion and 12 other polymorphisms on clinical outcomes and response to treatment in the LIFE study,” Pharmacogenetics and Genomics, vol. 20, no. 2, pp. 77–85, 2010.
View at: Publisher Site | Google Scholar
Y. Li, P. Yang, S. Wu et al., “Gender-specific association between ACE gene I/D polymorphism and blood pressure response to hydrochlorothiazide in Han Chinese hypertensive patients,” Biochemical Genetics, vol. 49, no. 11, pp. 704–714, 2011.
View at: Google Scholar
X. Ji, H. Qi, D. B. Li et al., “Associations between human aldosterone synthase CYP11B2 (-344T/C) gene polymorphism and antihypertensive response to valsartan in Chinese patients with essential hypertension,” International Journal of Clinical and Experimental Medicine, vol. 8, no. 1, pp. 1173–1177, 2015.
View at: Google Scholar
K. Stouffs, P. Verloo, S. Brock et al., “Recurrent NEDD4L variant in periventricular nodular heterotopia, polymicrogyria and syndactyly,” Frontiers in Genetics, vol. 11, p. 26, 2020.
View at: Publisher Site | Google Scholar
D. Rotin and L. Schild, “ENaC and its regulatory proteins as drug targets for blood pressure control,” Current Drug Targets, vol. 9, no. 8, pp. 709–716, 2008.
View at: Publisher Site | Google Scholar
L. Graham and S. Padmanabhan, “NEDD4L in essential hypertension,” Journal of Hypertension, vol. 32, no. 2, pp. 230–232, 2014.
View at: Publisher Site | Google Scholar
C. W. McDonough, S. E. Burbage, J. D. Duarte et al., “Association of variants in NEDD4L with blood pressure response and adverse cardiovascular outcomes in hypertensive patients treated with thiazide diuretics,” Journal of Hypertension, vol. 31, no. 4, pp. 698–704, 2013.
View at: Publisher Site | Google Scholar
D. D. Macchia, “Atrial natriuretic factor: a hormone secreted by the heart,” Pharmacy World and Science, vol. 9, no. 6, pp. 305–314, 1987.
View at: Publisher Site | Google Scholar
L. R. Potter, A. R. Yoder, D. R. Flora, L. K. Antos, and D. M. Dickey, “Natriuretic peptides: their structures, receptors, physiologic functions and therapeutic applications,” Handbook of Experimental Pharmacology, vol. 191, pp. 341–366, 2009.
View at: Publisher Site | Google Scholar
A. Lynch, E. Boerwinkle, B. Davis et al., “Pharmacogenetic association of the NPPA T2238C genetic variant with cardiovascular disease outcomes in patients with hypertension,” JAMA, the Journal of the American Medical Association, vol. 299, pp. 296–307, 2008.
View at: Publisher Site | Google Scholar
B. N. Zordoky and A. O. El-Kadi, “Effect of cytochrome P450 polymorphism on arachidonic acid metabolism and their impact on cardiovascular diseases,” Pharmacology & Therapeutics, vol. 125, no. 3, pp. 446–463, 2010.
View at: Publisher Site | Google Scholar
C. L. Laffer, F. Elijovich, G. J. Eckert, W. Tu, J. H. Pratt, and N. J. Brown, “Genetic variation in CYP4A11 and blood pressure response to mineralocorticoid receptor antagonism or ENaC inhibition: an exploratory pilot study in African Americans,” J Am Soc Hypertens, vol. 8, no. 7, pp. 475–480, 2014.
View at: Publisher Site | Google Scholar
C. Delaloy, J. Lu, A. M. Houot et al., “Multiple promoters in the WNK1 gene: one controls expression of a kidney-specific kinase-defective isoform,” Molecular and Cellular Biology, vol. 23, no. 24, pp. 9208–9221, 2003.
View at: Publisher Site | Google Scholar
C. J. Cheng, M. Baum, and C. L. Huang, “Kidney-specific WNK1 regulates sodium reabsorption and potassium secretion in mouse cortical collecting duct,” American Journal of Physiology - Renal Physiology, vol. 304, no. 4, pp. F397–F402, 2013.
View at: Publisher Site | Google Scholar
S. T. Turner, G. L. Schwartz, A. B. Chapman, and E. Boerwinkle, “WNK1 kinase polymorphism and blood pressure response to a thiazide diuretic,” Hypertension, vol. 46, no. 4, pp. 758–765, 2005.
View at: Publisher Site | Google Scholar
C. Masilela, B. Pearce, J. J. Ongole, O. V. Adeniyi, and M. Benjeddou, “Genomic association of single nucleotide polymorphisms with blood pressure response to hydrochlorothiazide among South African adults with hypertension,” Journal of Personalized Medicine, vol. 10, no. 4, p. 267, 2020.
View at: Google Scholar
E. E. Thompson, H. Kuttab-Boulos, D. Witonsky, L. Yang, B. A. Roe, and A. Di Rienzo, “CYP3A variation and the evolution of salt-sensitivity variants,” The American Journal of Human Genetics, vol. 75, no. 6, pp. 1059–1069, 2004.
View at: Publisher Site | Google Scholar
R. C. Givens, Y. S. Lin, A. L. Dowling et al., “CYP3A5 genotype predicts renal CYP3A activity and blood pressure in healthy adults,” Journal of Applied Physiology, vol. 95, no. 3, pp. 1297–1300, 1985.
View at: Publisher Site | Google Scholar
W. K. Muller, C. Dandara, K. Manning et al., “CYP3A5 polymorphisms and their effects on tacrolimus exposure in an ethnically diverse South African renal transplant population,” South African Medical Journal, vol. 110, no. 2, pp. 159–166, 2020.
View at: Publisher Site | Google Scholar
S. Turolo, A. S. Tirelli, M. Ferraresso et al., “Frequencies and roles of CYP3A5, CYP3A4 and ABCB1 single nucleotide polymorphisms in Italian teenagers after kidney transplantation,” Pharmacological Reports, vol. 62, no. 6, pp. 1159–1169, 2010.
View at: Publisher Site | Google Scholar
J. Lamba, J. M. Hebert, E. G. Schuetz, T. E. Klein, and R. B. Altman, “PharmGKB summary: very important pharmacogene information for CYP3A5,” Pharmacogenetics and Genomics, vol. 22, no. 7, pp. 555–558, 2012.
View at: Publisher Site | Google Scholar
F. P. Muchão, A. V. Souza, J. M. E. Souza, and L. S. Filho, “Association between beta-2 adrenergic receptor variants and clinical outcomes in children and adolescents with acute asthma,” Einstein (Sao Paulo), vol. 20, Article ID eAO6412, 2022.
View at: Publisher Site | Google Scholar
L. A. Guerra, C. Lteif, M. J. Arwood et al., “Genetic polymorphisms in ADRB2 and ADRB1 are associated with differential survival in heart failure patients taking β-blockers,” The Pharmacogenomics Journal, vol. 22, no. 1, pp. 62–68, 2022.
View at: Publisher Site | Google Scholar
I. A. Kabadou, H. Soualmia, R. Jemaa et al., “G protein beta3 subunit gene C825T and angiotensin converting enzyme gene insertion/deletion polymorphisms in hypertensive Tunisian population,” Clinica y Laboratorio, vol. 59, no. 1-2, pp. 85–92, 2013.
View at: Publisher Site | Google Scholar
S. T. Turner, G. L. Schwartz, B. Arlene, and E. Boerwinkle, “C825T polymorphism of the G protein β3-subunit and antihypertensive response to a thiazide diuretic,” Hypertension, vol. 37, no. 2, pp. 739–743, 2001.
View at: Google Scholar
A. Amrani-Midoun, S. R. Kiando, C. Treard, X. Jeunemaitre, and N. Bouatia-Naji, “Genetic association study between T-786C NOS3 polymorphism and essential hypertension in an Algerian population of the Oran city,” Diabetes & Metabolic Syndrome, vol. 13, no. 2, pp. 1317–1320, 2019.
View at: Publisher Site | Google Scholar
R. Jemaa, A. Kallel, S. Ben Ali et al., “Association of a 27-bp repeat polymorphism in intron 4 of endothelial constitutive nitric oxide synthase gene with myocardial infarction in Tunisian patients,” Clinical Chemistry and Laboratory Medicine, vol. 45, no. 11, pp. 1476–1480, 2007.
View at: Publisher Site | Google Scholar
C. Masilela, B. Pearce, J. J. Ongole, O. V. Adeniyi, R. Johnson, and M. Benjeddou, “Cross-sectional study of the association of 5 single nucleotide polymorphisms with enalapril treatment response among South African adults with hypertension,” Medicine (Baltimore), vol. 100, no. 46, Article ID e27836, 2021.
View at: Publisher Site | Google Scholar
C. Masimirembwa, I. Persson, L. Bertilsson, J. Hasler, and M. Ingelman-Sundberg, “A novel mutant variant of the CYP2D6 gene (CYP2D6∗17) common in a black African population: association with diminished debrisoquine hydroxylase activity,” British Journal of Clinical Pharmacology, vol. 42, no. 6, pp. 713–719, 1996.
View at: Publisher Site | Google Scholar
C. Dandara, Z. Lombard, I. Du Plooy, T. McLellan, S. A. Norris, and M. Ramsay, “Genetic variants in CYP (-1A2, -2C9, -2C19, -3A4 and -3A5), VKORC1 and ABCB1 genes in a black South African population: a window into diversity,” Pharmacogenomics, vol. 12, no. 12, pp. 1663–1670, 2011.
View at: Publisher Site | Google Scholar
V. Bhatnagar, E. P. Garcia, D. T. O'Connor et al., “CYP3A4 and CYP3A5 polymorphisms and blood pressure response to amlodipine among African-American men and women with early hypertensive renal disease,” American Journal of Nephrology, vol. 31, no. 2, pp. 95–103, 2010.
View at: Publisher Site | Google Scholar
A. O. Olowofela and A. O. Isah, “A profile of adverse effects of antihypertensive medicines in a tertiary care clinic in Nigeria,” Annals of African Medicine, vol. 16, no. 3, pp. 114–119, 2017.
View at: Publisher Site | Google Scholar
T. K. Gandhi, S. N. Weingart, J. Borus et al., “Adverse drug events in ambulatory care,” New England Journal of Medicine, vol. 348, no. 16, pp. 1556–1564, 2003.
View at: Publisher Site | Google Scholar
J. B. Kostis, H. J. Kim, J. Rusnak et al., “Incidence and characteristics of angioedema associated with enalapril,” Archives of Internal Medicine, vol. 165, no. 14, pp. 1637–1642, 2005.
View at: Publisher Site | Google Scholar
J. Hradec, “Pharmacological therapy for chronic heart failure,” Vnitrní Lékarství, vol. 64, no. 9, pp. 853–859, 2018.
View at: Google Scholar
C. Golias, A. Charalabopoulos, D. S. K. Charalabopoulos, and A. Batistatou, “The kinin system--bradykinin: biological effects and clinical implications. Multiple role of the kinin system--bradykinin,” Hippokratia, vol. 11, no. 3, pp. 124–128, 2007.
View at: Google Scholar
B. H. Gabra, R. Couture, and P. Sirois, “[Functional duality of kinin receptors in pathophysiology],” Medical Science, vol. 19, no. 11, pp. 1101–1110, 2003.
View at: Publisher Site | Google Scholar
G. H. Oliveira-Paula, S. C. Pereira, J. E. Tanus-Santos, and R. Lacchini, “Pharmacogenomics and hypertension: current insights,” Pharmgenomics Pers Med, vol. 12, pp. 341–359, 2019.
View at: Publisher Site | Google Scholar
R. R. Moholisa, B. R. Rayner, E. Patricia Owen et al., “Association of B2 receptor polymorphisms and ACE activity with ACE inhibitor-induced angioedema in black and mixed-race South Africans,” Journal of Clinical Hypertension, vol. 15, no. 6, pp. 413–419, 2013.
View at: Publisher Site | Google Scholar
Y. Wang and J. G. Wang, “Genome-wide association studies of hypertension and several other cardiovascular diseases,” Pulse, vol. 6, no. 3-4, pp. 169–186, 2019.
View at: Publisher Site | Google Scholar
Y. Gong, Z. Wang, A. L. Beitelshees et al., “Pharmacogenomic genome-wide meta-analysis of blood pressure response to β-blockers in hypertensive african Americans,” Hypertension, vol. 67, no. 3, pp. 556–563, 2016.
View at: Publisher Site | Google Scholar
S. T. Turner, K. R. Bailey, B. L. Fridley et al., “Genomic association analysis suggests chromosome 12 locus influencing antihypertensive response to thiazide diuretic,” Hypertension, vol. 52, no. 2, pp. 359–365, 2008.
View at: Google Scholar
J. D. Duarte, S. T. Turner, B. Tran et al., “Association of chromosome 12 locus with antihypertensive response to hydrochlorothiazide may involve differential YEATS4 expression,” The Pharmacogenomics Journal, vol. 13, no. 3, pp. 257–263, 2013.
View at: Google Scholar
S. Singh, Z. Wang, M. H. Shahin et al., “Targeted sequencing identifies a missense variant in the BEST3 gene associated with antihypertensive response to hydrochlorothiazide,” Pharmacogenetics and Genomics, vol. 28, no. 11, pp. 251–255, 2018.
View at: Publisher Site | Google Scholar
R. Johnson, P. Dludla, S. Mabhida, M. Benjeddou, J. Louw, and F. February, “Pharmacogenomics of amlodipine and hydrochlorothiazide therapy and the quest for improved control of hypertension: a mini review,” Heart Failure Reviews, vol. 24, no. 3, pp. 343–357, 2019.
View at: Publisher Site | Google Scholar
M. L. Rizk, S. M. Bhavnani, G. Drusano et al., “Considerations for dose selection and clinical pharmacokinetics/pharmacodynamics for the development of antibacterial agents,” Antimicrobial Agents and Chemotherapy, vol. 63, no. 5, 2019.
View at: Publisher Site | Google Scholar
A. Zisaki, L. Miskovic, and V. Hatzimanikatis, “Antihypertensive drugs metabolism: an update to pharmacokinetic profiles and computational approaches,” Current Pharmaceutical Design, vol. 21, no. 6, pp. 806–822, 2015.
View at: Publisher Site | Google Scholar
C. Leporini, G. De Sarro, and E. Russo, “Adherence to therapy and adverse drug reactions: is there a link?” Expert Opinion on Drug Safety, vol. 13, no. Suppl 1, pp. S41–S55, 2014.
View at: Publisher Site | Google Scholar
Who, Adherence to Long-Term Therapies: Evidence for Action, World Health Organization, Geneva, Switzerland, 2003.
A. Wonkam, N. S. Munung, C. Dandara, K. K. Esoh, N. A. Hanchard, and G. Landoure, “Five priorities of african genomics research: the next frontier,” Annual Review of Genomics and Human Genetics, vol. 23, pp. 499–521, 2022.
View at: Publisher Site | Google Scholar
C. Dandara, A. Ndadza, and N. Soko, “The importance of including African populations in pharmacogenetics studies of warfarin response,” Pharmacogenomics, vol. 23, no. 1, pp. 1–4, 2022.
View at: Publisher Site | Google Scholar
I. Masic, M. Miokovic, and B. Muhamedagic, “Evidence based medicine - new approaches and challenges,” Acta Informatica Medica, vol. 16, no. 4, pp. 219–225, 2008.
View at: Publisher Site | Google Scholar
K. L. Mpye, A. Matimba, K. Dzobo, S. Chirikure, A. Wonkam, and C. Dandara, “Disease burden and the role of pharmacogenomics in African populations,” Glob Health Epidemiol Genom, vol. 2, p. e1, 2017.
View at: Publisher Site | Google Scholar
C. R. Fulton, M. Swart, T. De Luca et al., “Pharmacogenetics and practice: tailoring prescribing for safety and effectiveness,” The Journal for Nurse Practitioners, vol. 14, no. 10, pp. 697–704.e691, 2018.
View at: Publisher Site | Google Scholar
F. X. Brennan, K. R. Gardner, J. Lombard et al., “A naturalistic study of the effectiveness of pharmacogenetic testing to guide treatment in psychiatric patients with mood and anxiety disorders,” Prim Care Companion CNS Disord, vol. 17, no. 2, 2015.
View at: Publisher Site | Google Scholar
C. Sukasem and W. Chantratita, “A success story in pharmacogenomics: genetic ID card for SJS/TEN,” Pharmacogenomics, vol. 17, no. 5, pp. 455–458, 2016.
View at: Publisher Site | Google Scholar
M. T. Eadon, J. Maddatu, S. M. Moe et al., “Pharmacogenomics of hypertension in CKD: the CKD-PGX study,” Kidney, vol. 3, no. 2, p. 307, 2022.
View at: Publisher Site | Google Scholar
K. E. Caudle, T. E. Klein, J. M. Hoffman et al., “Incorporation of pharmacogenomics into routine clinical practice: the Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline development process,” Current Drug Metabolism, vol. 15, no. 2, pp. 209–217, 2014.
View at: Publisher Site | Google Scholar
M. V. Relling and T. E. Klein, “CPIC: clinical pharmacogenetics implementation consortium of the pharmacogenomics research network,” Clinical Pharmacology & Therapeutics, vol. 89, no. 3, pp. 464–467, 2011.
View at: Publisher Site | Google Scholar
M. V. Relling, T. E. Klein, R. S. Gammal, M. Whirl-Carrillo, J. M. Hoffman, and K. E. Caudle, “The clinical pharmacogenetics implementation consortium: 10 Years later,” Clinical Pharmacology & Therapeutics, vol. 107, no. 1, pp. 171–175, 2020.
View at: Publisher Site | Google Scholar
N. Soko, C. Dandara, R. Ramesar, G. Kadzirange, and C. Masimirembwa, “Pharmacokinetics of rosuvastatin in 30 healthy Zimbabwean individuals of African ancestry,” British Journal of Clinical Pharmacology, vol. 82, no. 1, pp. 326–328, 2016.
View at: Publisher Site | Google Scholar
M. Jallul, I. Alhudiri, L. Al-Eitan, and A. Elzagheid, “Warfarin pharmacogenomics in African populations: the importance of ethnicity-based algorithms,” Pharmacogenomics, vol. 23, no. 14, pp. 753–757, 2022.
View at: Publisher Site | Google Scholar
J. K. Mukonzo, J. S. Owen, J. Ogwal-Okeng et al., “Pharmacogenetic-based efavirenz dose modification: suggestions for an African population and the different CYP2B6 genotypes,” PLoS One, vol. 9, no. 1, Article ID e86919, 2014.
View at: Publisher Site | Google Scholar
G. Zdesenko, T. Mduluza, and F. Mutapi, “Pharmacogenetics of praziquantel metabolism: evaluating the cytochrome P450 genes of Zimbabwean patients during a schistosomiasis treatment,” Frontiers in Genetics, vol. 13, Article ID 914372, 2022.
View at: Publisher Site | Google Scholar
G. Zdesenko and F. Mutapi, “Drug metabolism and pharmacokinetics of praziquantel: a review of variable drug exposure during schistosomiasis treatment in human hosts and experimental models,” PLoS Neglected Tropical Diseases, vol. 14, no. 9, Article ID e0008649, 2020.
View at: Publisher Site | Google Scholar
J. J. Swen, C. H. van der Wouden, E. N. Manson et al., “A 12-gene pharmacogenetic panel to prevent adverse drug reactions: an open-label, multicentre, controlled, cluster-randomised crossover implementation study,” The Lancet, vol. 401, Article ID 10374, pp. 347–356, 2023.
View at: Publisher Site | Google Scholar
J. P. Jarvis, A. P. Peter, M. Keogh et al., “Real-world impact of a pharmacogenomics-enriched comprehensive medication management program,” Journal of Personalized Medicine, vol. 12, no. 3, 2022.
View at: Publisher Site | Google Scholar
C. Dandara, C. Masimirembwa, Y. Z. Haffani et al., “African Pharmacogenomics Consortium: consolidating pharmacogenomics knowledge, capacity development and translation in Africa: consolidating pharmacogenomics knowledge, capacity development and translation in Africa,” AAS Open Res, vol. 2, p. 19, 2019.
View at: Publisher Site | Google Scholar

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