Original Article
The genetic variant C825T of the beta 3 subunit of G protein is associated with hypertension in a Portuguese population
Ana Célia Sousaa,, , Roberto Palma dos Reisb, Andreia Pereiraa, Sofia Borgesa, Sara Gouveiaa, Adelaide Spínolaa, Ana Isabel Freitasa,c, Graça Guerraa,c, Teresa Góisa, Mariana Rodriguesa, Eva Henriquesa, Ilídio Ornelasa, Carolina Freitasa, Décio Pereiraa, António Brehmc, Maria Isabel Mendonçaa
a Unidade de Investigação, Hospital Doutor Nélio Mendonça, Funchal, Portugal
b Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisboa, Portugal
c Laboratório de Genética Humana, Universidade da Madeira, Funchal, Portugal
Received 13 March 2017, Accepted 24 September 2017

Hypertension is an important public health problem, affecting about 25% of the adult population worldwide.1 Genetic and environmental factors contribute to its pathogenesis. The T allele of the C825T polymorphism of the beta 3 subunit of G protein (rs5443) leads to the production of a truncated variant that enhances intracellular signaling and may interfere with the regulation of blood pressure. This genetic variant has been described as a risk factor for hypertension, although study results are controversial.


The objective of this study was to analyze the association of the C825T polymorphism of the GNB3 gene with the occurrence of hypertension in a Portuguese population from the Madeira archipelago.


A case-control study was performed with 1641 Caucasian individuals (mean age 50.6±8.1 years), 848 with hypertension and 793 controls. Blood was collected from all participants for biochemical and genetic analysis, including genotyping of the C825T polymorphism. Logistic regression analysis was performed to determine which variables were significantly associated with the onset of hypertension. Statistical analyses were performed using IBM SPSS version 19.0 and p-values <0.05 were considered statistically significant.


In our study, there was a significant association between the C825T polymorphism of the GNB3 gene and the occurrence of hypertension (odds ratio 1.275; 95% confidence interval 1.042-1.559; p=0.018) in the dominant model, after multivariate analysis.


We conclude that the C825T polymorphism of the beta 3 subunit of G protein is significantly and independently associated with the occurrence of hypertension in the study population.


A hipertensão arterial é um problema de Saúde Pública, afeta 25% da população adulta mundial. Fatores genéticos e ambientais contribuem para a sua patogénese. O polimorfismo C825T da subunidade β3 da Proteína G (rs5443) favorece a produção de uma variante alternativa, truncada, que facilita a sinalização intracelular, pode interferir na regulação da pressão arterial. Essa variante genética tem sido descrita como um fator de risco para a hipertensão arterial, com resultados controversos.


Avaliar a associação do polimorfismo C825T do gene GNβ3 com o aparecimento de hipertensão arterial, numa população portuguesa do Arquipélago da Madeira.


Com uma amostra de 1.641 indivíduos (média de 50,6 ± 8,1 anos), fizemos um estudo caso-controlo com 848 indivíduos com hipertensão arterial e 793 controlos, ajustados para o sexo e a idade. Todos os participantes colheram sangue para análises bioquímicas e foram genotipados para o polimorfismo C825T. Foi feita uma regressão logística para ver quais as variáveis que se relacionam com a hipertensão arterial. A análise dos dados foi feita com o software estatístico SPSS, versão 19.0. Usamos como limiar de significância o valor de p < 0,05.


Encontramos uma associação significativa entre o polimorfismo C825T e o aparecimento de hipertensão arterial (odds ratio = 1,275; IC 95% (1,042–1,559); p = 0,018) no modelo dominante, após análise multivariada.


O polimorfismo C825T da subnidade β3 da Proteína G está associado, de forma significativa e independente, com o aparecimento hipertensão arterial na nossa população.

Case-control study, Hypertension, G protein, Polymorphisms, GNB3
Estudo caso-controlo, Hipertensão arterial, Polimorfismos, Proteína G, GNβ3

Hypertension is a major public health problem, affecting around 25% of the adult population worldwide.1 It is a risk factor for cardiovascular disease and progression to renal failure, independently of other cardiovascular risk factors.2,3 In the Portuguese adult population, its overall prevalence is around 42% (44.4% in men and 40.2% in women).4

In recent decades, many studies have been conducted to determine how genetics contributes to the development of hypertension. Around 20-40% of blood pressure variation is genetically determined,5,6 but the molecular genetics of HT is still unclear.

G proteins and their receptors play a crucial role in cell survival. These proteins are part of a superfamily of proteins that, when inactive, are bound to cell membrane receptors, and when activated migrate through the cytosol regulating multiple effectors including enzymes, ion channels, hormones, neurotransmitters and autocrine and paracrine factors.7 They are thus signal transducers that enable intracellular events to be triggered by external stimuli.

Transduction of external stimuli via intracellular signals is clearly of considerable importance for perpetuating viable characteristics on an evolutionary scale. Given their wide-ranging roles, deficiency or altered expression of these important proteins can lead to more or less widespread metabolic disturbances.8

Heterotrimeric G proteins consist of three subunits, alpha, beta and gamma, coded by separate genes. The alpha subunit of each G protein is the most important: it is the subunit that interacts with the receptor, binding to guanosine triphosphate (GTP) and regulating effector systems.9 The beta and gamma subunits are non-covalently bound into the beta-gamma complex, which when bound to the alpha subunit forms the inactive state of the protein.10 In addition to anchoring the alpha subunit, the beta-gamma dimer influences certain cell processes11,12 and can modulate the activity of certain effectors.13 Due to their crucial role in the functioning of many cell types, genetic abnormalities in G protein subunits may be involved in the etiology of a wide range of clinical conditions.

The gene that codes for the G protein beta 3 subunit is located on chromosome 12p13. The C825T single-nucleotide polymorphism of the beta 3 subunit of G protein (rs5443) is located in exon 10 of the GNB3 gene, where cytosine (C) is replaced by thymidine (T) at nucleotide 825. The T allele of the C825T polymorphism results in a splicing variation in exon 9 in which nucleotides 498-620 are deleted,14,15 leading to the absence of amino acids 167 to 197 in the truncated protein (known as GNB3-s). This is a functional protein that enhances protein G-associated intracellular signaling.14,16 Since G-protein activation is the key event in intracellular signal transduction, the C825T polymorphism plays an important role in the etiology of a variety of disease processes,17 including hypertension,14,15,18–20 obesity,21 depression,22 and cardiovascular disease.23 Furthermore, the 825T allele functions as a pharmacogenetic marker to predict responses to various drugs, such as diuretics, antidepressants, sildenafil and clonidine, as well as to angiotensin II and endothelin 1.17

However, the results of some studies have failed to demonstrate any association between this genetic variant and hypertension,24–26 while others support it. In view of this controversy, we decided to assess this association in a Portuguese population.


The objective of this study was to analyze the association of the C825T polymorphism of the GNB3 gene (rs5443) with the occurrence of hypertension in a Portuguese population from the Madeira archipelago.

MethodsStudy protocol and ethics approval

The study was approved by the ethics committee of the Health Service of the Autonomous Region of Madeira (SESARAM) and was conducted in accordance with the international ethics guidelines of the 2013 Declaration of Helsinki.

All participants gave their written informed consent, after an internist with more than 10 years of experience explained how blood would be collected for analysis and how DNA and relevant clinical data would be stored and reused. Blood samples for genetic analysis are kept in our hospital's research biobank in accordance with Articles 6, 15 and 16 of the UNESCO Universal Declaration on Bioethics and Human Rights.

Study population

This study was conducted on the Portuguese archipelago of Madeira, which has a population of around 300000. Participants were Caucasian, born in Madeira, and their parents and grandparents were also Caucasians born in the archipelago. The study sample was thus a genetically homogeneous southern European population.

The sample consisted of 1641 individuals with a mean age of 50.6±8.1 years, 848 (49.9%) male, who were selected sequentially from general and family medicine consultations in the Internal Medicine department of the Central Hospital of Funchal.

The population was divided into two groups, those with and those without hypertension. Differences between the groups in terms of gender and age were kept to a minimum.


At enrollment, subjects were defined as having hypertension if it had already been diagnosed, if they had been taking antihypertensive medication for more than three months, or if they were newly diagnosed with systolic (SBP) and/or diastolic blood pressure (DBP) ≥140/90 mmHg on at least three occasions.27

Individuals with secondary hypertension, such as those with primary hyperaldosteronism or clinically significant renal disease, were excluded, as were those taking medication for other indications that could affect blood pressure.

The normotensive control subjects had never taken antihypertensive medication and had SBP/DBP <140/90 mmHg.

Blood pressure was measured in the right arm with the subject in a seated position after 10 minutes’ rest, using a standard Welch Allyn sphygmomanometer. The mean of three readings taken at 2-min intervals was recorded.27

Data collection

All participants answered a standardized questionnaire on age, gender, lifestyle, smoking, alcohol consumption, and personal and family history of cardiovascular events, particularly stroke, coronary artery disease and family history of hypertension.

Anthropometric parameters were assessed in all participants. Height was measured in cm and weight in kg, and body mass index (BMI) was calculated as kg/m2.28 BMI was classified as normal (<25 kg/m2), overweight (25-29.9 kg/m2) or obese (≥30 kg/m2).28 Waist circumference was measured and considered high when >94 cm in men and >80 cm in women.29 Waist-hip ratio was defined as high when >0.9 in men and >0.8 in women.29

Pulse wave velocity (PWV) was determined by tonometry using a Complior device, as previously described.30 PWV >10 m/s was considered high. Diabetes was defined as fasting blood glucose ≥126 mg/dl and/or blood glucose ≥200 mg/dl and/or a history of treatment for diabetes.31

A sedentary lifestyle was defined as performing less than 150 min/week of moderate to vigorous physical activity.29

Individuals who smoked at enrollment in the study were considered smokers and were classified according to the number of cigarettes smoked per day: 1-10, 10-20 or more than 20. Individuals who consumed alcohol at enrollment were considered to be drinkers. Alcohol consumption was quantified in g per week and was considered excessive when >70 g/week in men and >50 g/week in women.

Laboratory tests

Blood samples were collected after 14-16 hours of fasting and plasma was prepared for the quantification of biochemical parameters. Laboratory tests were performed at the hospital's central laboratory, using standard techniques.

To determine total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides and blood glucose, blood samples were collected in dry tubes, centrifuged for 30 min at 3500 g and quantified by enzymatic techniques using an AU5400 automated analyzer (Beckman Coulter). Biochemical risk markers – lipoprotein(a), apolipoprotein B and high-sensitivity C-reactive protein (hs-CRP) – were quantified with the same analyzer using immunoturbidimetry. Fibrinogen was measured in blood collected into a sodium citrate tube with the subject in a fasting state, using an ACL TOP 700 analyzer (Beckman Coulter).

Genetic analysis of the C825T polymorphism of the GNB3 gene

Genomic DNA was extracted from peripheral blood leukocytes using the salting-out method. Genotyping was performed using oligonucleotide probes labeled with allele-specific fluorescence in an assay combining standard polymerase chain reaction (PCR) and TaqMan techniques (Applied Biosystems). Primers and probes for the C825T polymorphism of the GNB3 gene (rs5443) were those provided by the manufacturer (TaqMan SNP Genotyping Assays, Applied Biosystems). Oligonucleotides were synthesized and FAM™ and VIC® fluorescent labels were coupled to the 5′ ends of the probes for allelic discrimination. Two-step PCR, consisting of 40 denaturation cycles at 92°C for 15 s and primer annealing and extension at 60°C for 1 min, was carried out in a 7300 Real-Time PCR System (Applied Biosystems). 7300 System SDS Software (Applied Biosystems) was used to determine genotypes, without using prior knowledge of individual clinical data (Figure 1).

Figure 1.

Genotype determination of the C825T polymorphism of the GNB3 gene using the 7300 Real-Time PCR System (Applied Biosystems).

Statistical analysis

Categorical variables are presented as frequency and percentage using the chi-square test. Continuous variables are expressed as mean ± standard deviation or median (minimum-maximum). The Student's t test or the non-parametric Mann-Whitney test was used to compare continuous variables, as appropriate.

Hardy-Weinberg equilibrium was analyzed for each of the genes using the chi-square test and a p-value less than 5% was considered statistically significant. The Bonferroni correction was applied. Multivariate logistic regression analysis using the forward Wald method was applied to identify variables associated with the onset of hypertension.

The strength of associations was determined by odds ratios (OR) and respective 95% confidence intervals (CIs).

The statistical analysis was performed with IBM SPSS version 19.0 and a p value <0.05 was taken to indicate statistical significance.

ResultsCharacteristics of the study population

The baseline characteristics of the study population are presented in Table 1. The sample consisted of 1641 individuals with hypertension (mean age 50.8±8.1 years; 51.8% male) and 793 controls without hypertension (mean age 50.3±8.2 years; 47.9% male). There were no significant differences between the groups in terms of gender or age.

Table 1.

Demographic and clinical characteristics of the study population.

Variable  Total (n=1641)  Hypertensives (n=848)  Controls (n=793) 
Age, years  50.6±8.1  50.8±8.1  50.3±8.2  0.212 
Male, n (%)  819 (49.9)  439 (51.8)  380 (47.9)  0.119 
Sedentary lifestyle, n (%)  887 (54.1)  476 (56.1)  411 (51.8)  0.080 
Drinkers, n (%)  627 (38.2)  350 (41.3)  277 (34.9)  0.008 
Excessive drinkersa, n (%)  536 (32.8)  291 (34.3)  245 (31.2)  0.176 
Smokers, n (%)  375 (22.9)  164 (19.5)  211 (26.6)  <0.0001 
1-10b, n (%)  142 (37.9)  59 (36)  83 (39.3)  0.002 
10-20b, n (%)  118 (31.5)  40 (24.4)  78 (37)   
>20b, n (%)  115 (30.7)  65 (39.6)  50 (23.7)   
BMI, kg/m2  27.7±4.9  29.2±5.2  26.2±4  <0.0001 
Normalc, n (%)  466 (28.4)  143 (16.9)  323 (40.7)  <0.0001 
Overweightd, n (%)  734 (44.7)  379 (44.7)  355 (44.8)   
Obesee, n (%)  441 (26.9)  326 (38.4)  115 (14.5)   
High WCf, n (%)  1217 (74.2)  710 (83.7)  507 (63.9)  <0.0001 
High WHRg, n (%)  1461 (89)  788 (92.9)  673 (84.9)  <0.0001 
Diabetes, n (%)  169 (10.3)  134 (15.8)  35 (4.4)  <0.0001 
Dyslipidemia, n (%)  815 (49.7)  470 (55.4)  345 (43.5)  <0.0001 
SBP, mmHg  134.4±20.4  147.2±18.9  120.7±10.9  <0.0001 
DBP, mmHg  84.5±12.1  91.1±11.7  77.4±7.7  <0.0001 
Heart rate, bpm  72.1±11.8  73.1±12.2  71±11.2  <0.0001 
PWV, m/s  8±1.5  8.4±1.5  7.7±1.3  <0.0001 
PWV >10 m/s, n (%)  160 (9.8)  117 (13.8)  43 (5.4)  <0.0001 
CV events, n (%)  41 (2.5)  31 (3.7)  10 (1.3)  0.002 
Family CV history, n (%)  539 (32.9)  327 (38.6)  212 (26.7)  <0.0001 
Family hypertension history, n (%)  609 (37.1)  405 (47.8)  204 (25.7)  <0.0001 

BMI: body mass index; CV: cardiovascular; DBP: diastolic blood pressure; PWV: pulse wave velocity; SBP: systolic blood pressure; WC: waist circumference; WHR: waist/hip ratio.


>70 g/week in men and >50 g/week in women.


No. of cigarettes smoked per day.


<25 kg/m2.


25-29.9 kg/m2.


≥30 kg/m2.


>94 cm in men and >80 cm in women.


>0.9 in men and >0.8 in women.

Significant differences between groups were seen in alcohol consumption (p=0.008), BMI and obesity (p<0.0001), waist circumference (p<0.0001) and waist/hip ratio (p<0.0001), in all of which mean values were higher in the hypertensive group than in the control group. Likewise, diabetes, dyslipidemia, and high SBP, DBP, heart rate and PWV were significantly more frequent in the hypertensive group than in the normotensive group (p<0.0001). In the hypertensive group, there were more individuals with a personal (p=0.002) and family (p<0.0001) history of cardiovascular events, as well as a family history of hypertension (p<0.0001). There was a significantly larger proportion of smokers in the control group (p<0.0001), except in those who smoked >20 cigarettes/day.

Regarding biochemical variables (Table 2), there were significant differences between the groups in hemoglobin, leukocytes, fibrinogen, HDL cholesterol, triglycerides, apolipoprotein B, fasting blood glucose and hs-CRP (all p<0.0001), with higher mean values in the hypertensive group than in controls. There were no significant differences in relation to total cholesterol, LDL cholesterol, lipoprotein(a) and platelets (p>0.05).

Table 2.

Biochemical characteristics of the study population.

Variable  Total (n=1641)  Hypertensives (n=848)  Controls (n=793) 
Hemoglobin, g/dl  14.3 (9.6-18.2)  14.4 (9.6-18.2)  14.2 (10.1-17.6)  <0.0001 
Platelets, 103/μl  229.0 (23-664)  233.0 (23-664)  227.0 (65-544)  0.206 
Leukocytes, 103/μl  6.4 (2.1-18)  6.6 (2.9-18)  6.2 (2.1-16.6)  <0.0001 
Fibrinogen, mg/dl  362 (179.2-874)  371.0 (179.2-874)  355.3 (224-688)  <0.0001 
Blood glucose, mg/dl  95 (66-364)  98.0 (70-360)  93.0 (66-364)  <0.0001 
Lipoprotein(a), mg/dl  16.3 (0.6-236)  16.6 (0.6-236)  16.2 (0.8-198.2)  0.730 
Total cholesterol, mg/dl  207 (107-370)  208.5 (115-344)  206 (107-370)  0.193 
HDL-C, mg/dl  48 (17.2-111.7)  46.9 (17.2-103)  49 (20.8-111.7)  <0.0001 
LDL-C, mg/dl  131 (37.7-269)  131 (37.7-269)  131 (42-260)  0.944 
Triglycerides, mg/dl  110 (21-1098)  119.0 (29-1098)  99.0 (21-688)  <0.0001 
Apolipoprotein B, mg/dl  104 (3.9-232)  106.6 (5.1-205)  99.7 (3.9-232)  <0.0001 
hs-CRP, mg/dl  0.2 (0-18.5)  0.2 (0-13.1)  0.2 (0-18.5)  <0.0001 

Values are presented as median (minimum-maximum).

HDL-C: high-density lipoprotein cholesterol; hs-CRP: high-sensitivity C-reactive protein; LDL-C: low-density lipoprotein cholesterol.

Allele and genotype frequencies of the C825T polymorphism of the GNB3 gene and risk of hypertension

The allele frequencies of the C825T polymorphism of the GNB3 gene are presented in Table 3. The frequencies of the C and T alleles in the overall population were 60.5% and 39.5%, respectively. The proportions were similar in both cases and controls, with OR 1.106 and without statistical significance (p=0.158) (Table 3).

Table 3.

Allele frequencies of the C825T polymorphism of the GNB3 gene.

Allele  Total  Cases  Controls  OR (95% CI) 
1985  60.5  1006  59.3  979  61.7  1.106 (0.962-1.273)  0.158 
1297  39.5  690  40.7  607  38.3     
Total  3282  100  1696  100  1586  100     

CI: confidence interval; OR: odds ratio.

The frequency of each genotype in both groups was in Hardy-Weinberg equilibrium (Table 4). In the additive model, the most frequent genotype was heterozygous CT, with a frequency of 50.7% in the hypertensive group and 44.3% in the controls compared to the reference homozygous CC genotype. This genotype carried a 1.336-fold greater risk of hypertension (p=0.008) than the mutated homozygote TT (OR 1.107; p=0.494).

Table 4.

Genotypes of the C825T polymorphism of the GNB3 gene and risk of hypertension.

Genotype  Cases (n=848)  Controls (n=793)  OR (95% CI) 
CC  288 (34.0%)  314 (39.6%)  Reference 
CT  430 (50.7%)  351 (44.3%)  1.336 (1.079-1.653)  0.008 
TT  130 (15.3%)  128 (16.1%)  1.107 (0.827-1.482)  0.494 

CI: confidence interval; OR: odds ratio.

In the dominant model (Table 5), subjects with the CT or TT genotype were at greater risk of developing hypertension (OR 1.275; 95% CI 1.042-1.559) than those with the reference genotype (CC) (p=0.018).

Table 5.

Genotypes of the C825T polymorphism of the GNB3 gene and risk of hypertension (dominant model).

Genotype (dominant model)  Cases (n=848)  Controls (n=793)  OR (95% CI) 
CC  288 (34.0%)  314 (39.6%)  Reference 
CT + TT  560 (66.0%)  479 (40.4%)  1.275 (1.042-1.559)  0.018 

CI: confidence interval; OR: odds ratio.

Logistic regression analysis

In the logistic regression analysis (Table 6), the variables that remained in the model were diabetes, obesity, alcohol consumption and the CT and TT genotypes of the C825T polymorphism of the GNB3 gene, which were significantly and independently associated with the occurrence of hypertension.

Table 6.

Logistic regression analysis of the C825T polymorphism of the GNB3 gene and confounding variables.

Variable  Beta  SE  Wald  df  OR (95% CI) 
Diabetes  1.223  0.205  35.711  3.397 (2.275-5.074)  <0.0001 
Obesity  1.185  0.126  88.686  3.270 (2.555-4.184)  <0.0001 
Alcohol consumption  0.243  0.109  5.010  1.276 (1.031-1.579)  0.025 
Smoking  -0.464  0.127  13.359  0.629 (0.490-0.806)  <0.0001 
Polymorphism (CT+TT)  0.236  0.108  4.755  1.267 (1.024-1.566)  0.029 
Constant  -0.477  0.102  21.881  0.621  <0.0001 

Forward Wald method in SPSS version 19.0. Sedentary lifestyle, gender and age left the equation. Statistical significance for p<0.05.

CI: confidence interval; df: degrees of freedom; OR: odds ratio; SE: standard error.

The model showed smoking to be a protective factor, while a sedentary lifestyle left the model and did not influence the occurrence of hypertension.


In the present study, we investigated the association between the 825T variant of the GNB3 G protein gene and hypertension in a Portuguese population from the Madeira archipelago. Subjects with the dominant genetic model had an increased risk of developing hypertension (OR 1.275; 95% CI 1.042-1.559; p=0.018), even after multivariate analysis and correction for confounding factors (obesity, diabetes, sedentary lifestyle, alcohol consumption and smoking). This demonstrates that in this population G protein variants are independently associated with hypertension, constituting an additional risk to conventional risk factors.

The frequency of the T allele was 39.5% in our study, which is higher than that reported in other Caucasian populations (37.7%), but lower than that described for Asians (48.4%) and African-Americans (76.3%).19

Our results, which are innovative in the Portuguese population, are in line with those of other studies. Stiffer et al.,14 in a study of 427 normotensive and 426 hypertensive German subjects, were the first to demonstrate a significant association between the C825T polymorphism of the GNB3 gene coding for pertussis toxin-sensitive G proteins and hypertension (OR 1.79; 95% CI 1.05-3.05; p=0.03). Subsequently, other studies in different countries and ethnic groups also found associations between the C825T polymorphism and hypertension14,15,17–19 and variations in blood pressure.32–34

In a study of Caucasian subjects, Benjafield et al.15 concluded that the 825T allele was associated with hypertension (OR 2.3; 95% CI 1.5-3.7),15 while a study in an Egyptian population also found an association between this variant and hypertension (OR 1.4; 95% CI 0.9-2.1) in the dominant genetic model, which was significantly stronger in the recessive model (OR 2.3; 95% CI 1.5-3.7).20

Zheng et al.19, in a meta-analysis involving 36802 individuals, confirmed a significant association between the C825T polymorphism and overall risk of hypertension in Caucasian and Chinese subjects, although this association was not found in other Asian populations.19

By contrast, a meta-analysis by Guo et al. suggested that although the 825T allele showed a marginal association with hypertension risk, there was no association with hypertension in Asians or Caucasians.26

Various pathophysiological mechanisms may explain the role of the C825T (rs5443) genetic variant in the development of hypertension.

Siffert et al.14 reported that the splice variant GNB3-s is a functional protein that increases G protein activity in a reconstituted system and leads to enhanced intracellular signaling.

Elevated blood pressure is due to increased sensitivity to vasopressor hormones, which use GNB3 for signal transmission.35 This has been demonstrated in vivo by the greater vascular reactivity shown by individuals with the 825T variant following stimulation of coronary alpha2 adrenoreceptors.36

Meirhaeghe et al.16 assessed coronary artery vasomotility after intravenous injection of methylergonovine maleate, a vasoconstrictor, and concluded that subjects bearing at least one T allele of the C825T polymorphism had greater susceptibility to vasoconstriction than those with the wild-type CC genotype. The GB3-s subunit is associated with increased G protein activity and therefore may increase the activity of alpha-1A adrenoceptors coupled to these proteins. This would explain the greater vasoconstriction observed in response to a vasoconstrictor in individuals with the 825T allele.

Another hypothesis, put forward by Siffert et al.,14 is that the onset of hypertension in carriers of the T allele may result not from increased vasoconstriction due to vasoconstrictor hormones such as noradrenaline and angiotensin II activating heterotrimeric non-pertussis toxin-sensitive G proteins, but from vascular smooth muscle cell proliferation leading gradually to vascular hypertrophy.

We performed logistic regression analysis to assess confounding variables such as diabetes, alcohol consumption, smoking and the dominant model of the C825T polymorphism, in order to determine which variables were significantly and independently related to the occurrence of hypertension. Obesity and diabetes conferred a significant risk (OR 3.270; 95% CI 2.555-4.184; p<0.0001 and OR 3.397; 95% CI 2.275-5.074; p<0.0001, respectively). The C825T polymorphism also remained in the model, which revealed that it was significantly and independently associated with the occurrence of hypertension (OR 1.276; 95% CI 1.024-1.566; p=0.029).

In our study population there was a larger proportion of smokers (except those who smoked >20 cigarettes/day) in the control group than in the hypertensive group. Multivariate analysis revealed that smoking appeared to be a protective factor for the occurrence of hypertension. This is because smokers were defined as those who smoked at enrollment in the study, so these individuals were active rather than former smokers. Hypertensive individuals were already under medical monitoring for cardiovascular risk factors at enrollment, which would have led some of them to quit smoking. However, our results indicate that the heaviest smokers found it most difficult to quit.

Obesity is also known to be an important risk factor for the development of hypertension. Cross-sectional studies have shown that obesity is associated with higher blood pressure and weight gain throughout life and is an important predictor of hypertension.37–40 Studies in different ethnic groups have shown that the T allele of the C825T polymorphism is associated with obesity41,42 and can influence blood pressure variations.43,44

Future studies that correlate abnormalities in complex cellular transduction mechanisms with other pathological processes may lead to important discoveries in the pharmacological treatment of hypertension and many other diseases.

Strong points of the study

This is the first case-control study conducted in the genetically homogeneous45–47 and relatively isolated Portuguese population of the archipelago of Madeira to investigate the association between the C825T polymorphism of the GNB3 gene and propensity for hypertension.

The population's characteristics are advantageous for gene mapping in rare disorders, and furthermore, according to several researchers, the study of a culturally and genetically isolated population with a common way of life, diet and natural environment can help minimize the influence of environment factors on variation in disease patterns.48


In this study, the C825T polymorphism of the GNB3 gene was significantly and independently associated with the occurrence of hypertension in a Portuguese population (OR 1.275; 95% CI 1.042-1.559; p=0.018) in the dominant model, even after logistic regression analysis which included other variables that could also have been associated with the onset of hypertension.

Identifying candidate genes and understanding their function will help establish a specific molecular basis for hypertension. Further studies in different populations and with larger sample sizes are needed to determine whether the C825T polymorphism plays a significant role in the etiology of hypertension.


This study was funded by the Operational Program for the Enhancement of Economic Potential and Territorial Cohesion of the Autonomous Region of Madeira (INTERVIR+).

Conflicts of interest

The authors have no conflicts of interest to declare.

P.M. Kearney,M. Whelton,K. Reynolds
Global burden of hypertension: analysis of worldwide data
National Heart, Lung and Blood Institute
Fact Book Fiscal Year
NHLBI, (2006)
S. Lewington,P. Clarke,N. Qizilbash,Prospective Studies Collaboration
Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies
Lancet, 360 (2002), pp. 1903-1913
J. Polónia,L. Martins,F. Pinto
Prevalence, awareness, treatment and control of hypertension and salt intake in Portugal: changes over a decade. The PHYSA study
J Hypertens, 32 (2014), pp. 1211-1221 http://dx.doi.org/10.1097/HJH.0000000000000162
M. Gong,N. Hubner
Molecular genetics of human hypertension
Clin Sci, 110 (2006), pp. 315-326 http://dx.doi.org/10.1042/CS20050208
R.P. Lifton
Molecular genetics of human blood pressure variation
Science, 272 (1996), pp. 676-680
S.R. Neves,P.T. Ram,R. Iyengar
G protein pathways
Science, 296 (2002), pp. 1636-1639 http://dx.doi.org/10.1126/science.1071550
C.W. Emala,W.F. Schwindinger,G.S. Wand
Signal-transducing G proteins: basic and clinical implications
Prog Nucleic Acid Res Mol Biol, 47 (1994), pp. 81-111
Z. Farfel,H.R. Bourne,T. Iiri
The expanding spectrum of G protein diseases
N Engl J Med, 340 (1999), pp. 1012-1020 http://dx.doi.org/10.1056/NEJM199904013401306
G. Milligan,E. Kostenis
Heterotrimeric G-proteins: a short history
Br J Pharmacol, 147 (2006), pp. S46-S55 http://dx.doi.org/10.1038/sj.bjp.0706405
M.G.T. Bezerra,A.C. Latronico,M.C.B.V. Fragoso
Tumores endócrinos associados às mutações das proteínas Gs alfa e Gi alfa2
Arq Bras Endocrinol Metab, 49 (2005), pp. 784-790
C.R. McCuden,M.D. Hains,R.J. Kimple
G-protein signaling: back to the future
Cell Mol Life Sci, 62 (2005), pp. 551-557 http://dx.doi.org/10.1007/s00018-004-4462-3
O.M. Hauache
Receptores acoplados à proteína G: implicações para a fisiologia e doenças endócrinas
Arq Bras Endocrinol Metab, 45 (2001), pp. 228-239
W. Siffert,D. Rosskopf,G. Siffert
Association of a human G-protein β3 subunit variant with hypertension
Nat Genet, 18 (1998), pp. 45-48 http://dx.doi.org/10.1038/ng0198-45
A.V. Benjafield,C.L. Jeyasingam,D.R. Nyholt
G-protein β3 subunit gene (GNB3) variant in causation of essential hypertension
Hypertension, 32 (1998), pp. 1094-1097
A. Meirhaeghe,C. Bauters,N. Helbecque
The human G-protein beta3 subunit C825T polymorphism is associated with coronary artery vasoconstriction
Eur Heart J, 22 (2001), pp. 845-848 http://dx.doi.org/10.1053/euhj.2000.2400
W. Siffert
Effects of the G protein beta 3-subunit gene C825T polymorphism: should hypotheses regarding the molecular mechanisms underlying enhanced G protein activation be revised? Focus on “A Splice Variant of the G Protein Beta 3-Subunit Implicated in Disease States Does Not Modulate Ion Channels”
M. Li,B. Zhang,C. Li
G-protein beta 3 subunit polymorphisms and essential hypertension: a case-control association study in northern Han Chinese
J Geriatr Cardiol, 12 (2015), pp. 127-134 http://dx.doi.org/10.11909/j.issn.1671-5411.2015.02.004
H. Zheng,H. Xu,B. Cui
Association between polymorphism of the G-protein β3 subunit C825T and essential hypertension: an updated meta-analysis involving 36,802 subjects
N.S. El Din Hemimi,A.A. Mansour,M.M. Abdelsalam
Prediction of the risk for essential hypertension among carriers of C825T genetic polymorphism of G protein β3 (GNB3) Gene
Biomark Insights, 11 (2016), pp. 69-75 http://dx.doi.org/10.4137/BMI.S38321
K.D. Ko,K.K. Kim,H.S. Suh
Associations between the GNB3 C825T polymorphism and obesity-related metabolic risk factors in Korean obese women
J Endocrinol Invest, 37 (2014), pp. 1117-1120 http://dx.doi.org/10.1007/s40618-014-0182-6
L. Fang,C. Zhou,S. Bai
The C825T polymorphism of the G-protein b3 gene as a risk factor for depression: a meta-analysis
A. Semplicini,T. Grandi,C. Sandonà
G-protein β3-subunit gene C825T polymorphism and cardiovascular risk: an updated review
High Blood Press Cardiovasc Prev, 22 (2015), pp. 225-232 http://dx.doi.org/10.1007/s40292-015-0093-4
E. Brand,S.M. Herrmann,V. Nicaud
The 825C/T polymorphism of the G-protein subunit beta3 is not related to hypertension
Hypertension, 33 (1999), pp. 1175-1178
N. Kato,T. Sugiyama,H. Morna
G protein β3 subunit variant and essential hypertension in Japanese
Hypertension, 32 (1998), pp. 935-938
L. Guo,L.L. Zhang,B. Zheng
The C825T polymorphism of the G-protein β3 subunit gene and its association with hypertension and stroke: an updated meta-analysis
European Society of Hypertension-European Society of Cardiology Guidelines Committee
2003 European Society of Hypertension-European Society of Cardiology guidelines for the management of arterial hypertension
National Institute of Health, National Heart, Lung, and Blood Institute North American Association for the Study of Obesity
The Practical Guide: Identification, Evaluation, and Treatment of Overweight and Obesity in Adults. NHLBI Obesity Education Initiative, NIH Publication Number: 00-4084
M.F. Piepoli,A.W. Hoes,S. Agewall,Authors/Task Force Members
2016 European Guidelines on Cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts) Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR)
Eur Heart J, 37 (2016), pp. 2315-2381 http://dx.doi.org/10.1093/eurheartj/ehw106
R. Asmar,A. Benetos,J. Topouchian
Assessment of arterial distensibility by automatic pulse wave velocity measurement: validation and clinical application studies
Hypertension, 26 (1995), pp. 485-490
Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
Diabetes Care, 26 (2003), pp. 3160-3167
R.A. Hegele,S.B. Harris,A.J.G. Hanley
G protein β3 subunit gene variant and blood pressure variation in Canadian Oji-Cree
Hypertension, 32 (1998), pp. 688-692
H. Schunkert,H.W. Hense,A. Doring
Association between a polymorphism in the G protein β3 subunit gene and lower renin and elevated diastolic blood pressure levels
Hypertension, 32 (1998), pp. 510-513
T. Hayakawa,T. Takamura,T. Abe
Association of the C825T polymorphism of the G-protein beta3 subunit gene with hypertension, obesity, hyperlipidemia, insulin resistance, diabetes, diabetic complications, and diabetic therapies among Japanese
E.L. Schiffrin
Intracellular signal transduction for vasoactive peptides in hypertension
Can J Physiol Pharmacol, 72 (1994), pp. 954-962
D. Baumgart,C. Naber,M. Haude
G protein β3 subunit 825T allele and enhanced coronary vasoconstriction on α2-adrenoceptor activation
Circ Res, 85 (1999), pp. 965-969
W.B. Kannel,N. Brand,J.J. Skinner Jr.
The relation of adiposity to blood pressure and development of hypertension. The Framingham study
Ann Intern Med, 67 (1967), pp. 48-59
A.L. Johnson,J.C. Cornoni,J.C. Cassel
Influence of race, sex and weight on blood pressure behavior in young adults
Am J Cardiol, 35 (1975), pp. 523-530
N. Mikhail,M.S. Golub,M.L. Tuck
Obesity and hypertension
Prog Cardiovasc Dis, 42 (1999), pp. 39-58
E.D. Frohlich,F.H. Messerli,E. Reisin
The problem of obesity and hypertension
Hypertension, 5 (1983), pp. 71-78
W. Siffert,P. Forster,K.-H. Jöckel
Worldwide ethnic distribution of the G protein β3 subunit 825T allele and its association with obesity in Caucasians, Chinese, and black African individuals
J Am Soc Nephrol, 10 (1999), pp. 1921-1930
W. Siffert,C. Naber,M. Walla
G protein β3 subunit 825T allele and its potential association with obesity in hypertensive individuals
J Hypertens, 17 (1999), pp. 1095-1098
T. Iiri,Z. Farfel,H.R. Bourne
G-protein diseases furnish a model for the turn-on switch
Nature, 394 (1998), pp. 35-38 http://dx.doi.org/10.1038/27831
R.A. Hegele,C. Anderson,T.K. Young
G-protein β3 subunit gene splice variant and body fat distribution in Nunavut Inuit
Genome Res, 9 (1999), pp. 972-977
R. Gonçalves,A. Freitas,M. Branco
Y-chromosome lineages from Portugal, Madeira and Açores record elements of Sephardim and Berber ancestry
Ann Hum Genet, 69 (2005), pp. 443-454 http://dx.doi.org/10.1111/j.1529-8817.2005.00161.x
A. Brehm,L. Pereira,T. Kivisild
Mitochondrial portraits of the Madeira and Açores archipelagos witness different genetic pools of its settlers
K. Kristiansson,J. Naukkarinen,L. Peltonen
Isolated populations and complex disease gene identification
L.P. Jorde,S.P. Wooding
Genetic variation, classification and race
Nat Genet, 36 (2004), pp. 528-533 http://dx.doi.org/10.1038/ng1344

Please cite this article as: Sousa AC, Palma dos Reis R, Pereira A, Borges S, Gouveia S, Spínola A, et al. A variante genética c825t da subunidade β3 da proteína G associa-se com a hipertensão arterial numa população portuguesa. Rev Port Cardiol. 2018;37:499–507.

WARNING Invalid argument supplied for foreach() (includes_ws/librerias/html/item.php[1203])


  • Impact Factor: 0.827(2017)
  • 5-years Impact Factor: 0,775
  • SCImago Journal Rank (SJR):0,267
  • Source Normalized Impact per Paper (SNIP):0,419