Advances in the Genetics of Hypertension


Type

Method

Criterion for hypertension measurement (mm Hg)

Clinical

Auscultation

≥140/90

Automatic sphygmomanometer

Nonclinical

Home blood pressure measurement

≥135/85

Ambulatory blood pressure monitoring

≥130/80 for 24 h

≥135/85 for daytime

≥120/70 for nighttime



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Fig. 1
Hypertension guidelines in JNC 7 and JSH 2014 (Chobanian 2003)


Moreover, it is clear that hypertension may arise from a complex interplay between environmental and genetic factors. Due to different genetic profiles, male and African-Americans tend to have higher risk of hypertension as compared to female and in other ethnicities (Mozaffarian et al. 2016). Hence, it is pertinent to determine which candidate genes are mediating the susceptibility risk of hypertension, especially in regards to (i) renin-angiotensin-aldosterone system; (ii) vasomotor system; (iii) lipid metabolism; (iv) sodium regulating system; and (v) sympathetic nervous system.



2 Candidate Genes in Hypertension



2.1 Renin-Angiotensin-Aldosterone System


Renin-angiotensin-aldosterone system (RAS) pathway involves several genes such as renin (REN), angiotensinogen (AGT), angiotensin-converting enzyme (ACE), angiotensin II type 1 receptor (AGTR1), angiotensin II type 2 receptor (AGTR2) and aldosterone synthase (CYP11B2), which regulating the homeostasis of arterial pressure, tissue perfusion and extracellular volume (Atlas 2007; Cat et al. 2013). Within the RAS, juxtaglomerular cells release REN in response to the reduction of circulated blood volume, renal perfusion pressure and sodium chloride concentration in the tubular fluid. REN cleaves the circulating AGT to form biologically inert decapeptide Ang I (angiotensin I), further converted to Ang II (angiotensin II) by ACE. Ang II is mediated by AGTR1 and AGTR2 to produce aldosterone. As a feedback inhibition, both Ang II and aldosterone restore renal perfusion, regulate sodium and fluid reabsorption, and inhibit subsequent release of REN, in order to restore circulating homeostasis and mediate BP (Atlas 2007; Cat et al. 2013). As shown in Table 2, it has been hypothesized that single nucleotide polymorphisms (SNPs) of REN, AGT, AGTR1, AGTR2, ACE and CYP11B2 genes can dysregulate RAS and thus influence the pathophysiology of hypertension (Atlas 2007; Cat et al. 2013). SNPs of REN rs12750854, ACE rs4646994, AGT rs699, rs4762 and rs5050 are associated with DBP (Sethi et al. 2003; Fang et al. 2010; Penesova et al. 2006; Vangjeli et al. 2010; Fayyad and Aziz 2015).


Table 2
Candidate genes for hypertension









































































































































































































































System involved

Gene/protein and function

aChromosomal location

Polymorphism

References

RAS

REN activates RAS

1q32

Insertion/deletion

Ying et al. (2010)

7828A>T (rs6693954)

Sun et al. (2011)

−5312C>T (rs12750854)

Vangjeli et al. (2010)

10631A>G (rs2368564)

Ahmad et al. (2005)

−4021C>T

Zhu et al. (2003)

10795 T>G (rs5707)

Mansego et al. (2008)

AGT is the substrate for angiotensin I

1q42-43

235M>T (rs669)

Sethi et al. (2003)
   
174T>M (rs4762)

Fang et al. (2010)

−20A>C (rs5050)

Fayyad et al. (2015)

ACE degrades angiotensin I to form angiotensin II

17q23

Insertion/deletion (rs4646994)

Ramu et al. (2011)

AGTR1 regulates aldosterone secretion

3q24

+1166A>C (rs5186)

Bonnardeaux et al. (1994)

32611C>T (rs12695895)

Nie et al. (2010)

+573 C>T (rs5182)

Martínez-Rodríguez et al. (2012)

AGTR2 is a receptor for angiotensin II

X-chromosome

−1332A>G (rs5194)

Alfakih et al. (2004)

+1675G>A (rs1403543)

Huber et al. (2010)

1334T>C (rs12710567)

Zhang et al. (2003)

CYP11B2 for cholesterol and steroids biosynthesis

8q22

−344C>T (rs1799998);

Matsubara et al. (2004)

Vasomotor system

EDN1 modulates vasomotor tone, and stimulates cell proliferation and remodeling

6p24.1

5665G>T (rs5370)

Iglarz et al. (2002)

EDN2 regulates cell growth and vasoconstriction

1p34.2

985A>G (rs5800)

Hu et al. (2010)

EDNRA mediates vasoconstriction and cell proliferation

EDNRA: 4q31.22

1363C>T (rs5343)

Benjafield et al. (2003)

70C>G (rs5335)

Rahman et al. (2008)

EDNRB clears ET-1 and releases vasodilator

13q22

1065G>A (rs5351)

Caprioli et al. (2008)

ECE-1 involves in endothelin biosynthesis

1p36.1

839T>G (rs213046)

Funke-Kaiser et al. (2003)
   
338C>A (rs213045)

eNOS is a vasodilator that inhibits smooth muscle cell proliferation and regulates BP

7q36

894G>T (rs 1799983)

Tang et al. (2008)

Intron 4a/b or 27-bp-VNTR

Patkar et al. (2009)

a (the a-deletion has 4 tandem 27 bp repeats; b-insertion has 5 repeats)

Lipid metabolism

APOB carries fats and fat-like substances (such as cholesterol) in the bloodstream

2p24-p23

3’VNTR

Frossard et al. 1(999)

7673C>T (rs693)

Tang et al. (2008)

APOC3 inhibits LPL and hepatic lipase to hydrolyze TG-rich particles, and regulates TG homeostasis

11q23.3

3206G>T (rs4225)

Tang et al. (2008)

3,238 C>G (rs5128)

Ghattas et al. (2013)

APOE packs cholesterols and other fats to the bloodstream

19q13.2 (coded by ε2, ε3, ε4 allele)

ε4allele, E3E4 and E4E4 genotypes, 388 T>C (rs rs429358), 526C>T (rs7412)

Li et al. (2003) and de Leeuw et al. (2004)

LPL hydrolyzes TG and releases monoglycerides and free fatty acids as well as regulates HDL concentration

8p22

447S>X (rs328)

Sallah et al. (2009)

27496 T>G (rs320)

Mu˜noz-Barrios et al. (2012)

Sodium regulating system

SCNN1A controls sodium ions and water transport into cells

12p13

2139G>A (rs4149623)

Iwai et al. (2002)

SCNN1B controls sodium ions and water transport into cells

16p12.2-p12.1

594T>M (rs1799979)

Baker et al. (1998) and Yang et al. (2014)

SCNN1G controls sodium ions and water transport into cells

16p12

−173G>A (rs5718)

Iwai et al. (2001)

TSC regulates sodium chloride reabsorption by moving the charged sodium and chlorine ions across cell membrane

16q13

1420C>T

Melander et al. (2000)

2736G>A

48591A>G (rs7204044)

Chang et al. (2011)

56900931C>T (rs13306673)

NEDD4L regulates ENaC expression via ubiquitination

18q21

−326G>A (rs4149601)

Fava et al. (2006)

276721 T>C (rs2288774)

55874441C>T (rs513563)

Russo et al. (2005)

297555 T>C (rs3865418)

ATP1A2 maintains electrochemical gradients of sodium and potassium ions across the plasma membrane

1q23.2


Faruque et al. (2011)

ATP1B1 maintains electrochemical gradients of sodium and potassium ions across the plasma membrane

1q24

29223G>A (rs2901029)

Faruque et al. (2011)

14173C>T (rs3766031)

15513A>G (rs3766032)

30114G>A (rs12079745)

30989C>T (rs1138486)

20025T>A (rs2982468)

Sympathetic nervous system

GNB3 translates signals from cell surface into cell, and mediates hormones and peptides signaling

12p13

825C>T (rs5443)

Tozawa (2001)

GCG-R regulates blood glucose levels and glucose homeostasis

17q25

118G>A (rs1801483)

Brand et al. (1999)

IGF-1R exerts multiple physiologic effects on vasculature

15q26.3

−328C>T (rs8034564)

Horio et al. (2010)

275124A>C (rs1464430)


achromosomal location based on genetic home reference (https://​ghr.​nlm.​nih.​gov/​gene/​)

In fact, aortic stiffness and left ventricular mass are the predictors for hypertension progression (Kim et al. 2014). Of which, elderly with aortic stiffness and carrying AGTR1 rs5186 and rs275653 polymorphisms may prone to hypertension (Lajemi et al. 2001; Lacolley et al. 2009). AGTR2 rs5194, rs12710567 and rs1403543 polymorphisms may cause hypertension by mediating left ventricular mass (Alfakih et al. 2004; Carstens et al. 2010; Huber et al. 2010). The accumulated plasma ACE disturbs homeostasis control of endothelial function by mediating aortic stiffness (Ljungberg et al. 2011). Moreover, high BP can become severe if an individual is carrying CYP11B2 rs1799998 polymorphism (Matsubara et al. 2004). This SNP increases the aldosterone-to-renin ratio, while reducing the aldosterone production (Matsubara et al. 2004). Low levels of aldosterone induces extra sodium and fluid accumulation, in turn dysregulates BP and causes hypertension (Harrison-Bernard 2009; Mishra et al. 2012).


2.2 Vasomotor System


Vasomotor system consists of endothelin and endothelial nitric oxide that maintain vasoconstriction and vasodilation activities respectively (Table 2). Endothelin converting enzyme 1 (ECE-1) and endothelin converting enzyme 2 (ECE-2) are expressed in vascular endothelium and neuronal tissues, respectively. Among their isoforms, ECE-1b serves as the main player for BP regulation (Valdenaire et al. 1999). ECE1b rs213045 and rs213046 polymorphisms may increase ECE gene and protein expressions (Annapareddy et al. 2016), that subsequently promote ECE bind to vasoconstrictive receptors such as G-protein couple receptors, endothelin receptor A (EDNRA) and endothelin receptor B (EDNRB), to exert its vasoconstrictive effect (Ling et al. 2013). The receptor polymorphisms of EDNRA rs5335 and rs5343 alter EDNRA gene expression and endothelin binding (Rahman et al. 2008) as well as increase DBP and SBP in response to different salt sensitivity i.e. either salt depletion or repletion. On the other hand, a decrease in BP is observed among salt-sensitive individuals who carry EDRNB rs5351 polymorphism (Caprioli et al. 2008). Nonetheless, endothelin 1 (EDN1) rs5370 and endothelin 2 (EDN2) rs5800 polymorphisms increase the production of endothelin, enhance the calcium sensitivity on arteries, and subsequently mediate the progression of hypertension (Iglarz et al. 2002; Panoulas et al. 2008; Dhawan et al. 2014). The endothelial nitric oxide synthase (eNOS) produces nitric oxide and vasodilates the blood vessels to lower BP levels. Dysregulated eNOS may reduce about 50 % of the nitric oxide levels at the basal blood flow, and subsequently restrict endothelial diastolic function (Förstermann and Münzel 2006). This dysregulation is mainly related to eNOS rs1799983 and variable tandem repeat 4a/4b polymorphisms, which also associated with hypertension risk (Tang et al. 2008a; Patkar et al. 2009; Yan-yan 2011).


2.3 Lipid Metabolism


Genetic polymorphisms of apolipoprotein B (ApoB), apolipoprotein C (ApoC), apolipoprotein E (ApoE) and lipoprotein lipase (LPL) genes within the lipid metabolism pathways have been associated with the variations in BP and the propensity of hypertension (Table 2). ApoB and ApoE are the major constituents for chylomicrons that catabolize triglyceride-rich lipoprotein particles. ApoB rs693 and ApoE E4E4 polymorphisms may impair the clearance of chylomicrons and VLDL remnants, which lead to the higher levels of triglycerides and cholesterol (Tang et al. 2008b; Das et al. 2009; Wei et al. 2015a, 2015b). This phenomenon promotes intimal-medial carotid artery thickening and susceptibility risk to hypertension (Paternoster et al. 2008; Rossi et al. 2001). Meanwhile, ApoC3 is a VLDL protein that inhibits LPL activity while destroying triglyceride-rich remnants catabolism. In particular, ApoC3 rs5128 and rs4225 as well as LPL rs320 and rs328 polymorphisms induce high levels of triglycerides, high BP and thus increase the susceptibility risk of hypertension (Salah et al. 2009; Muñoz-Barrios et al. 2012; Ghattas et al. 2013).


2.4 Sodium Regulating System


BP is influenced by the efficiency of sodium reabsorption. Increase in sodium channel activity promotes sodium reabsorption and sodium retention, thereby elevating BP (Sun et al. 2011). Gene polymorphisms encoded for renal ion channels and sodium reabsorption transporters were summarized in Table 2.

Being the pertinent component in sodium reabsorption, epithelial sodium channel (ENaC) is involved in the first step of active sodium reabsorption in urinary bladder and renal collecting duct, which maintains the water and electrolyte homeostasis. ENaC consists of α-, β- and γ-subunits that encodes sodium channel non voltage gated 1 alpha subunit (SCNN1A), sodium channel non voltage gated 1 beta subunit (SCNN1B) and sodium channel non voltage gated 1 gamma subunit (SCNN1G) genes, respectively (Sun et al. 2011). It has been reported that SCNN1A rs4149623 may decrease SCNN1A gene expression and subsequently reduce sodium reabsorption efficiency in the kidney (Iwai et al. 2002). SCNN1A rs4149623 may prevent individuals from the risk of hypertension, however, this SNP is a risk marker for hypertension among Japanese population (Iwai et al. 2002). SCNN1B rs1799979 alters β-ENaC protein structure and causes protein kinase C phosphorylation, which inhibits sodium channel activity and thus increases sodium retention and elevates BP (Yang et al. 2014). SCNN1G rs5718 reduces pulse pressure and SBP, in which dropping of pulse pressure (8 mmHg) and SBP (11 mmHg) have been observed among hypertensive patients (Iwai et al. 2001). Sodium reabsorption efficiency may also be regulated by thiazide sensitive Na+ Cl cotransporter (TSC) 2736G > A and 1420C > T polymorphisms. These SNPs up-regulate TSC gene expression and promote sodium reabsorption in thick ascending limb and distal convoluted tubule, which induce BP before and during the early phase of hypertension development (Manning et al. 2002; Keszei et al. 2007).

The absorbed sodium ions are transported across cell membrane to maintain electrolytes homeostasis (Sun et al. 2011). Several lines of evidence suggested that rs2901029, rs3766031, rs12079745, rs1138486, rs3766032 and rs2982468 polymorphisms in both ATPase, Na+/K+ transporting, alpha 2 polypeptide (ATP1A2) and ATPase, Ca++ transporting, plasma membrane 1 (ATP1B1) genes are deviating the electrochemical gradients of sodium and potassium ions across plasma membrane, and lead to higher BP (Chang et al. 2007; Xiao et al. 2009; Faruque et al. 2011). In addition, alpha-adducin (ADD) gene polymorphisms, such as ADD1 rs4961, ADD2 rs4984 and ADD3 rs3731566 may dysregulate TSC and enhance constitutive tubular sodium reabsorption, which lead to higher salt-sensitivity (Tikhonoff et al. 2003; Zafarmand et al. 2008; Seidlerová et al. 2009; Dimke et al., 2011). Increased salt sensitivity is also associated with neural precursor cell expressed developmentally down-regulated 4-like E3 ubiquitin protein ligase (NEDD4L) rs4149601 polymorphism through ENaC regulation. All in all, dysregulation of genes associated with sodium regulating system are contributed to the susceptibility risk of hypertension (Russo et al. 2005; Fava et al. 2006; Luo et al. 2009).


2.5 Sympathetic Nervous System


Sympathetic nervous system (SNS) is controlled by α- and β-adrenergic receptors that actively interact with G-proteins (Table 2). Among the available adrenergic receptors, the associations between β1-adrenergic receptor (ADRB1) and β2-adrenergic receptor (ADRB2) with hypertension risk are discussed. Both subunits that control BP by mediating cardiac output and peripheral resistance are believed to play a major role in hypertension (Soualmia 2012). ADRB1 belong to G-coupled receptor superfamily that located at the intracellular cytoplasmic tail. ADRB1 rs1801253 polymorphism decreases it’s receptor activity, affects the binding of ADRB1 on G-proteins, and is associated with lower mean values of SBP and DBP as well as the risk of hypertension (Johnson et al. 2011b). The ADRB2 regulates the vasodilation of smooth muscle cells via activation of cyclic adenosine monophosphate (cAMP) signalling pathway (Snyder et al. 2008). The risk of hypertension is multiplied among ADRB2 rs1042713 carriers in an elderly population (Soudani et al. 2014).

In addition, the health status of vasculature also mediated by insulin-like growth factor 1 (IGF-1), a strong promoter for the growth of cardiomyocyte. Genetic polymorphisms of IGF-1 receptor (IGF-1R) have been associated with atherosclerosis, hypertension, angiogenesis, and diabetes (Higashi et al. 2012). Specifically, IGF-1R rs8034564 polymorphism contributes to abnormal left ventricular hypertrophy geometry changes that deteriorates the hypertension progression (Horio et al. 2010).


3 GWAS and Hypertension


Thus far, 26 candidate genes have been discussed, yet none of the single SNPs can protrude their significant role in affecting the risk of hypertension, which possibly due to the low modest effect of these SNPs. This phenomenon urges a drastic shift to genome-wide association studies (GWAS) that allow an unbiased investigation of genetic causes of hypertension, and providing a more convincing result as compared to the candidate genes approach. GWAS uses a dense panel of SNPs to determine the association between multiple genetic biomarkers and complex disorders such as hypertension and diabetes, have received a great attention since 2006. GWAS idea is based on ‘common disease common variant’ hypothesis, which emphasizes that common disease is related to small effect size of genetic variations with an allelic frequency higher than 5 % in the population (Gibson 2012). The GWAS with different degree of associations on hypertension were summarized in Table 3.


Table 3
GWAS of hypertension





































































































       
Key finding highlighted in GWAS

Study (cohort)

Ethnicity

Sample size

Number of SNP covered

rs number

P value

Mapped gene

Summary of the translated protein/enzyme for the mapped gene

Burton et al. (2007)

Caucasians

5000

469,557

rs2820037

7.7 × 10−7

RYR2

Calcium channel that modulates flow rate of calcium ion from sarcoplasmic reticulum and supplies calcium ion for cardiac muscle.

Kato et al. (2008)

Asians

940

80,795

rs3755351

1.7 × 10−5

ADD2

Membrane-cytoskeleton-associated protein that predominantly expressed in the brain to enhance the assembly of spectrin-actin network. It binds to calmodulin in regulating BP.

Adeyemo et al. (2009) (HUFS)

African American

1017

808,465

rs9791170

5.1 × 10−7

P4HA2

Prolyl 4-hydroxylase for collagen synthesis.

Org et al. (2009)

Caucasians

1644

395,912

rs11646213

5.3 × 10−8

CDH13

Calcium-dependent cell adhesion protein that protects vascular endothelial cells from apoptosis.

(KORA S3)

Wang et al. (2009)

Caucasians

542

79,447

rs6749447

1.6 × 10−7

STK39

Serine threonine kinase that acts as an intermediate for cellular stress response pathway and phosphorylates cation-chloride-coupled co-transporters.

Padmanabhan et al. (2010)

Caucasians

3320

551,629

rs13333226

3.6 × 10−11

UMOD

Constitutive inhibitor of calcium crystallization in renal fluids that protects against urinary tract infection.

Johnson et al. (2011)

Caucasians

86,588

49,452

rs2004776

6.7 × 10−14

AGT

Pre-angiotensinogen degrades by renin in decreasing the BP level.
   
33,638

55,692

rs11105354

1.1 × 10−10

ATP2B1

As described before.

The Wellcome Trust Case Control Consortium, WTCCC (Burton et al. 2007) was pioneering GWAS-hypertension project. WTCCC investigated 2000 cases each for seven common diseases and 3000 shared controls (Table 3). Seven common diseases were hypertension, coronary artery disease, rheumatoid arthritis, bipolar disorder, Crohn’s disease, type 1 and type 2 diabetes. Two thousand hypertension cases were recruited from British Genetics of Hypertension (BRIGHT) study. Among the 3000 shared controls, 1500 of them were recruited from the 1958 British Birth Cohort and the rests of the samples were the blood donors who participated in GWAS-hypertension project. Twenty-one SNPs with p values lower than 5 × 108 were discovered across the entire genome. Of which, nine SNPs for Crohn’s disease, five for type 1 diabetes, three for type 2 diabetes, two for rheumatoid arthritis, and one for both coronary artery disease and bipolar disorder.

Even though the strongest polymorphism has been identified for hypertension, rs2820037 gained statistical significance at 7.7 × 10−7; yet, it failed to achieve genome-wide significance threshold of 5 × 10−8 (Burton et al. 2007). This SNP is located on chromosome 1q43 and is mapped to the nearest ryanodine receptor 2 (RYR2) gene. RYR2 is abundantly found in cardiac muscle and modulates calcium ion flow rate from sarcoplasmic reticulum. RYR2 is also exerting a direct effect on cardiac depolarisation and myocardial contractile dysfunction (Galati et al. 2016). It has been reported that genetic variation of RYR2 increases the risk of malignant ventricular arrhythmias, but the severity of arrhythmias can be further deteriorated among hypertensive individuals (Galati et al. 2016). Hence, rs2820037 polymorphism causes arrhythmias, which is secondary to hypertension. Moreover, no direct relationship between the genetic variations within RYR2 and hypertension was observed so far. The possible explanation is that this SNP was unable to achieve the genome-wide significance threshold of 5 × 108 in WTCCC (Burton et al. 2007).

In addition, rs146888326 polymorphism that has been identified to be associated with the severity of hypertension, was not associated with hypertension in WTCCC (Burton et al. 2007). Supposedly, rs1468326 polymorphism that situated at 3 kb upstream of WNK lysine deficient protein kinase 1 (WNK1) gene promoter region can modify WNK1 expression, regulate sodium homeostasis, increase BP and hypertension risk (Newhouse et al. 2005). The non-significant association observed between rs1468326 polymorphism and hypertension in GWAS could be due to the poorly tagged of this SNP on the Affymetrix chips. Also, other nearby SNPs may exhibit larger effect size than rs1468326 (Burton et al. 2007). Nonetheless, misclassification bias is the main concern of WTCCC as this study was not purposely designed for hypertension. Misclassification bias may dilute the detecting power of the phenotypes, especially if the hypertensive control samples may be misclassified as cases (Burton et al. 2007). This is an extremely serious problem in GWAS where each SNP carried relatively small effect sizes, and in fact, misclassifying as low as 5 % of controls as cases can reduce the power of study by 10 % (Burton et al. 2007).

Subsequent GWAS suggested that rs13333226 polymorphism decreases the risk of hypertension (Padmanabhan et al. 2010). Rs13333226 polymorphism that located at 1617 base pairs upstream to the transcription start site, is mapped to 5′ end of uromodulin (UMOD) gene. UMOD encodes for uromodulin, the most abundant extracellular glycosylphosphatidylinositol anchored glycoprotein expressed in the ascending limb of Henley (Padmanabhan et al. 2010). Rs13333226 polymorphism is involved in sodium homeostasis, by decreasing urinary uromodulin excretion and promoting sodium reabsorption at proximal tubular (Padmanabhan et al. 2010). Since excessive sodium reabsorption and its accumulation has resulted in water retention and high BP, it is suggested that dysregulation of sodium homeostasis may causes hypertension via WNK-sodium chloride cotransporter pathway (Fujita 2014).

The first GWAS-hypertension study among African American has been reported by Adeyemo et al. (2009). Despite from the 30 SNPs discovered, only five SNPs attained genome-wide significance threshold of 5 × 10−8 and were associated with SBP. These five SNPs were respectively mapped to post-meiotic segregation increased 1 (PMS1), intergenic AL365265.23, solute carrier family 24 member 4 (SLC24A4), tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta polypeptide (YWHAZ) and importin 7 (IPO7) genes. Unfortunately, none of them were associated with hypertension. The strongest marker for hypertension, rs9791170 was failed to attain genome-wide significance threshold of 5 × 10−8 among West Africans (Adeyemo et al. 2009). Rs9791170 polymorphism which located at 6 kb upstream of prolyl 4-hydroxylase, alpha polypeptide II (P4HA2), is believed to exert distal anti-stress effects among hypertensive individuals. P4HA2 catalyzes the post-translational formation of 4-hydroxyproline, while the latter is an indicator for de novo proline synthesis. Even though proline has been reported to modulate anti-oxidation activity in human fibroblasts and immortalized cell lines (Kuo et al. 2016), there is no direct relationship between 4-hydroxyproline and hypertension. Hence, this could be a possible reason for the non-significant association between rs9791170 polymorphism and hypertension. Moreover, in the subsequent replication studies by Fox et al. (2011), Jin et al. (2011) and Kidambi et al. (2012), none of these SNPs achieved genome-wide significance threshold of 5 × 10−8 (Table 3).


4 GWAS Meta-Analysis and Hypertension


Currently, several meta-analysis of GWAS have been performed to identify the genetic variations of hypertension with very small effect sizes. Meta-analysis allows the synthesized results from all eligible studies to attain higher level of conclusion, by refining significance p value and estimating the effect size (Bush and Moore 2012; Au et al. 2015). Normally, GWAS-BP studies tend to report a huge number of participants which is believed to provide sufficient statistical power to decrease BP variations from various next generation sequencing platforms and BP measurement techniques. However, we only focused on hypertensive subjects than combining the results with BP, diastolic and systolic phenotypes. This is to avoid false positive findings because continuous traits such as BP always exhibit greater statistical power as compared to dichotomous traits i.e. hypertension, which the latter is unlikely to report a genome-wide significance p value of 5 × 10−8 (Ehret 2010). As shown in Table 4, meta-analysis of GWAS resulted in eight SNPs (rs17367504, rs11191548, rs12946454, rs16998073, rs1530440, rs653178, rs1378942 and rs16948048), which were significantly associated with hypertension (Newton-Cheh et al. 2009). Among these SNPs, only rs17367504, rs16998073 and rs1378942 polymorphisms achieved genome-wide significance threshold of 5 × 10−8 (Newton-Cheh et al. 2009).


Table 4
Meta-analysis of GWAS on hypertension















     
Key finding highlighted in GWAS

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Sep 12, 2017 | Posted by in CARDIOLOGY | Comments Off on Advances in the Genetics of Hypertension

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