Literature DB >> 26936456

The impact of common polymorphisms in CETP and ABCA1 genes with the risk of coronary artery disease in Saudi Arabians.

Cyril Cyrus1, Chittibabu Vatte2, Awatif Al-Nafie3, Shahanas Chathoth2, Rudaynah Al-Ali3, Abdullah Al-Shehri3, Mohammed Shakil Akhtar3, Mohammed Almansori3, Fahad Al-Muhanna3, Brendan Keating4, Amein Al-Ali2.   

Abstract

BACKGROUND: Coronary artery disease (CAD) is a leading cause of morbidity and mortality worldwide. Many genetic and environmental risk factors including atherogenic dyslipidemia contribute towards the development of CAD. Functionally relevant mutations in the dyslipidemia-related genes and enzymes involved in the reverse cholesterol transport system are associated with CAD and contribute to increased susceptibility of myocardial infarction (MI).
METHOD: Blood samples from 990 angiographically confirmed Saudi CAD patients with at least one event of myocardial infarction were collected between 2012 and 2014. A total of 618 Saudi controls with no history or family history of CAD participated in the study. Four polymorphisms, rs2230806, rs2066715 (ABCA1), rs5882, and rs708272 (CETP), were genotyped using TaqMan Assay.
RESULTS: CETP rs5882 (OR = 1.45, P < 0.005) and ABCA1 rs2230806 (OR = 1.42, P = 0.017) polymorphisms were associated with increased risk of CAD. However, rs708272 polymorphism showed protective effect (B1 vs. B2: OR = 0.80, P = 0.003 and B2B2 vs. B1B1: OR = 0.68, P = 0.012) while the ABCA1 variant rs2066715 was not associated.
CONCLUSION: This study is the first to report the association of these polymorphisms with CAD in the population of the Eastern Province of Saudi Arabia. The rs5882 polymorphism (CETP) showed a significant association and therefore could be a promising marker for CAD risk estimation while the rs708272 polymorphism had a protective effect from CAD.

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Year:  2016        PMID: 26936456      PMCID: PMC4776394          DOI: 10.1186/s40246-016-0065-3

Source DB:  PubMed          Journal:  Hum Genomics        ISSN: 1473-9542            Impact factor:   4.639


Background

Coronary artery disease (CAD) is one of the leading causes of morbidity and disability and the most common cause of mortality worldwide equally among men and women. CAD is a disease burden in both high- and low-income countries [1, 2]. A study conducted on 17,232 people from Saudi Arabia revealed that 5.5 % had been diagnosed with CAD, with a higher prevalence in urban populations (6.2 %) compared to rural populations (4 %) [3]. Platelet aggregation and thrombus formation following the rupture of coronary atherosclerotic plaque is the major cause of myocardial infarction (MI) [4-6]. Many extrinsic and intrinsic risk factors, including hypertension, dyslipidemia, obesity, smoking, age, lack of exercise, and diabetes, are established risk factors for MI [7]. Atherogenic dyslipidemia is characterized by abnormal levels of triglycerides, low- and high-density lipoprotein (LDL-C and HDL-C) [8-10]. Functionally relevant mutations in the dyslipidemia-related genes and gene encoding enzymes involved in the reverse cholesterol transport system have been reported to be associated with high-density lipoprotein-cholesterol (HDL-C) levels [11-13]. Epidemiological and clinical studies have demonstrated a contradictory association between HDL-C concentrations and cardiovascular risk [10, 14, 15]. The anti-atherogenic effect of HDL-C may act through several mechanisms, such as anti-oxidation of low-density lipoprotein-cholesterol (LDL-C) and anti-inflammation and inhibition of vascular endothelial cell apoptosis. The reverse cholesterol transport system plays a vital role in these processes [16], as it is involved in the transportation of cholesterol from the peripheral tissues to the liver, where cholesterol is secreted into bile. ATP-binding-cassette A1 (ABCA1), apolipoprotein A-1 (ApoA-1), and cholesteryl ester transfer protein (CETP) play important roles in the reverse cholesterol transport system [17]. Certain ABCA1 polymorphisms have been reported to be associated with HDL-C concentrations, which in turn indicate increased cardiovascular risk [18]. The potential atherogenicity of CETP relates to its ability to transfer cholesteryl esters from the anti-atherogenic HDLs to the pro-atherogenic VLDL and LDL proteins. Mutations in the CETP gene give rise to less functional protein, which reduces the transfer of cholesteryl esters, and consequently HDL levels are elevated [19]. ABCA1 and CETP, variants including rs2230806, rs2066715, and rs5882, have been associated with increased HDL-C concentrations and rs708272 with a decreased risk for CAD [20, 21]. The objective of the present study is to evaluate the association of the two ABCA1 polymorphisms, rs2230806 [R219K: c.656G>A (p.Arg219Lys)] and rs2066715 [V825I: c.2473G>A (p.Val825Ile)], and two CETP polymorphisms, rs5882 [V422I: c.1264G>A (p.Val422Ile)] and rs708272 [TaqIB: c.118+279G>A], with the risk of CAD in the population of the Eastern Province of Saudi Arabia.

Results

Demographical and clinical data of cases and the control group, including age, sex, clinical manifestations, and biochemical parameters, are shown in Table 1. Patients were classified into subgroups based on their hypertension and diabetes status. Hypertension and diabetes were more prevalent in the patient group compared to the control group.
Table 1

Demographic and clinical characteristics of study subjects

Baseline characteristicsCases (N = 990)Controls (N = 618) P value
Age (years)58.37 ± 12.9154.8 ± 8.5 <0.0001 a
Sex M:F708:282423:1950.19b
Total cholesterol (mg/dl)170.84 ± 48.39171.58 ± 43.250.50a
LDL cholesterol (mg/dl)103.82 ± 40.58107.25 ± 35.35 0.005 a
HDL cholesterol (mg/dl)36.19 ± 9.8850.22 ± 23.89 <0.0001 a
Clinical Characteristics
Hypertension, n (%)688 (69.5)74 (12.0) <0.05 b
Diabetes, n (%)577 (58.3)87(14.1) <0.05 b

aStudent’s t test

bChi-square test

Demographic and clinical characteristics of study subjects aStudent’s t test bChi-square test All genotype frequencies of the control group were consistent with Hardy-Weinberg equilibrium. The distribution of analyzed genotype polymorphisms are shown in Table 2. Since all the four SNPs had a G>A transition substitution, the genotypes are denoted with the amino acid change, except for Taq1B alleles, which are designated by B1 and B2. The genotype analysis showed overall heterozygous polymorphism predominance in rs2230806 of ABCA1, rs5882, and rs708272 of CETP (Table 2).
Table 2

Association between ABCA1 and CETP genotypes and alleles with CAD

SNPGenotype/allelesCases (N = 990)Control (N = 618)OR (95 % CI) P value
rs2230806 (R219K)RR291195Ref
RK4733170.9 (0.79–1.25)0.999
KK2261061.42 (1.06–1.91) 0.017
RK+KK6994231.10 (0.89–1.37)0.359
R(G)1055707Ref
K(A)9255291.17 (1.01–1.35) 0.029
rs2066715 (V825I)VV945597Ref
VI45211.35 (0.79–2.29)0.26
II00
VI+II45211.35 (0.79–2.29)0.26
V(G)19351215Ref
I(A)45211.34 (0.79–2.26)0.27
rs5882 (V422I)VV178147Ref
VI5232971.45 (1.12–1.88) 0.005
II2891741.37 (1.02–1.82) 0.031
VI+II8124711.42 (1.11–1.82) 0.005
V(G)879591Ref
I(A)11016451.14 (0.99–1.32)0.058
rs708272 (TaqIB)B1B1376183Ref
B1B24543210.68 (0.54–0.86) 0.001
B2B21601140.68 (0.50–0.92) 0.012
B1B2+B2B26144350.68 (0.55–0.85) 0.0006
B1(G)1206687Ref
B2(A)7745490.80 (0.69–0.92) 0.003
Association between ABCA1 and CETP genotypes and alleles with CAD The CETP rs708272 polymorphism showed a significantly lower risk for CAD (B1B2+B2B2 vs. B1B1: OR = 0.68, 95 % CI 0.55–0.85, P = 0.0006 and B2B2 vs. B1B1: OR = 0.68, 95 % CI 0.50–0.92, P = 0.012). There was also a significant variation of B1B2 genotypes among patients and controls (OR = 0.68, 95 % CI 0.54–0.86, P = 0.001). Genotyping for the rs5882 polymorphism in CETP exon-14 showed that the frequency of VI genotype was higher in cases than in controls (52.8 vs. 48.0 %). Our analysis revealed that CETP rs5882 polymorphism is associated with an increased risk of CAD in our Saudi population study dataset (VI+II vs. VV: OR = 1.42, 95 % CI 1.11–1.82, P = 0.005; II vs. VV: OR = 1.37, 95 % CI 1.02–1.82, P = 0.031). Allele frequency analysis of the B2 allele of rs708272 of CETP (OR = 0.80, 95 % CI 0.69–0.92, P = 0.003) and the K allele of rs2230806 of ABCA1 (OR = 1.17, 95 % CI 1.01–1.35, P = 0.029) showed a significant difference between the two tested groups (Table 2). The mutant KK genotype of rs2230806 of ABCA1 is found to be associated with an increased risk of CAD (RR vs. KK: OR = 1.42, 95 % CI 1.06–1.91, P = 0.017). There were no significant differences in allele and genotype frequencies of rs2066715 polymorphisms in ABCA1 between the patient and control groups. The power of the study observed was 100 % for protective effect at odds ratio of 0.5 and 94.9 % at 0.7 for TaqIB, and for the other three SNPs (R219K, V825I, and I405V), the results ranged from 45.48 to 96.9 % for an odds ratio of 1.2–1.5. A joint analysis of two SNPs of both ABCA1 and CETP is shown in Table 3. All the combinations of the CETP variants exhibited no association, except B1B1+VI (OR = 1.7, 95 % CI 1.0–2.9, P = 0.048). On the other hand, for ABCA1, RK+VV and RK+VI lacked an association (Table 3). A sex-based analysis revealed a higher frequency of B1B1 genotype in men and women with CAD compared to their respective controls (Table 4). There was no statistical significance in the distribution of ABCA1 genotypes in the female cohort whereas in the male cohort genotypes KK (OR = 1.8, P = 0.001) of rs2230806 and VI (OR = 2.17, P = 0.041) of rs2066715 showed a significantly higher risk for CAD. In the CETP, rs5882 polymorphisms II (OR = 1.98, 95 % CI 1.38–2.85, P = 0.0002) revealed a significantly higher risk for CAD in the male cohort. In the male and female cohorts, rs708272 B1B2 and B2B2 genotypes showed a protective effect for CAD, respectively. The rs2230806 and rs2066715 of ABCA1 did not show any significant association with an increased risk for CAD in the female cohort compared to the control subjects.
Table 3

Association between joint analysis of two SNPs of ABCA1 gene and CETP gene with CAD

GeneGenotypeCases (N = 990)Controls (N = 618 )OR95 % CI P value
ABCA1 RR+VV256186Ref
RR+VI3592.821.32–6.02 0.007
RK+VV4633051.100.86–1.390.419
RK+VI10120.600.25–1.430.252
KK+VV2261061.541.14–2.08 0.004
CETP B1B1+VV4631Ref
B1B1+VI180711.701.0–2.90 0.048
B1B1+II150811.240.73–2.110.41
B1B2+VV77710.730.41–1.270.27
B1B2+VI2691751.030.63––1.690.888
B1B2+II108750.970.56–1.660.913
B2B2+VV55450.820.45–1.500.527
B2B2+VI74510.970.54–1.740.939
B2B2+II31181.160.55–2.420.692
Table 4

Association between ABCA1 and CETP genotypes and CAD in male and female cohorts

GenotypeMale cohortFemale cohort
Cases (n = 708)Control (n = 423)OR (95 % CI) P valueCases (n = 282)Control (n = 195)OR (95 % CI) P value
R219KRR212137Ref7958Ref
RK3372290.95 (0.72–1.24)0.718136881.13 (0.73–1.74)0.566
KK159571.80 (1.24–2.61) 0.001 67491.0 (0.60–1.65)0.987
V825IVV676414Ref269183Ref
VI3292.17 (1.02–4.60) 0.041 13120.73 (0.32–1.65)0.458
V422IVV123103Ref5544Ref
VI3762321.35 (0.99–1.84)0.052147651.80 (1.10–2.96) 0.018
II209881.98 (1.38–2.85) 0.0002 80860.74 (0.45–1.22)0.246
TaqIBB1B1261124Ref11559Ref
B1B23402470.65 (0.49–0.85) 0.002 114740.79 (0.51–1.21)0.282
B2B2107520.97 (0.65–1.45)0.9153620.43 (0.27–0.71) 0.0008
Association between joint analysis of two SNPs of ABCA1 gene and CETP gene with CAD Association between ABCA1 and CETP genotypes and CAD in male and female cohorts

Discussion

CAD is a multifactorial disease mediated through a complex association of environmental and genetic factors with ethnicity demonstrated to be an important determinant of disease variability. The strength of the current study is the selection of CAD patients from similar ethnic backgrounds. In the present study, two common genetic variations in each ABCA1 and CETP gene were studied with reference to their effect on CAD. We tested four SNPs, namely rs2230806 (R219K), rs2066715 (V825I), rs5882 (V422I), and rs708272 (TaqIB) for their association with CAD. CETP, located on chromosome 16q21, plays a crucial role in lipid metabolism, and numerous SNPs in this gene have been reported to alter the plasma HDL-C levels and function of CETP [22, 23]. Among the CETP SNPs, rs708272 is the one that is most studied. Therefore, we investigated the association of two SNPs of this gene and their risk for CAD in the Saudi population. Our overall results showed that the heterozygous and mutant of rs708272 polymorphism may confer protection against CAD (B1B2: OR = 0.68, P = 0.001; B2B2: OR = 0.68, P = 0.012) while those of rs5882 increased the risk of CAD (VI: OR = 1.45, P = 0.005; II: OR = 1.37, P = 0.031). Earlier studies had suggested that the CETP variant rs5882 causes low CETP and is associated with higher HDL and possibly with increased CAD among hyper-triglyceridemia men [24, 25]. In contrast, in many recent studies, the rs5882 polymorphism lacked any association with CAD [26-29]. ABCA1 encodes an important protein that facilitates the formation of HDL-C and regulates the efflux of lipids from peripheral cells into lipid-poor ApoA1 particles, stimulating reverse cholesterol transport. [30] The association between the ABCA1 gene polymorphisms and CAD has been the focus for many studies [31-33]. The rs2230806 is the most common polymorphism of ABCA1; the possible role of rs2230806 in cardiovascular diseases is still debatable as numerous studies have reported divergent results [34, 35]. The results of our study revealed that the K variant of rs2230806 (P = 0.029) is associated with CAD, which is in line with Zargar et al. [36]. The rs2066715 of ABCA1 is not associated with an increased risk of CAD. The frequency of the rare allele of rs2066715 (0.02) showed a unique distribution compared to the 1000 genome database (0.113) and Han Chinese (0.44) population [37]. The K allele frequency of rs2230806 (R219K) polymorphism in our study was 0.47 compared to 0.28–0.73 in earlier studies [18, 38, 39]. The K allele frequency reported in our study is in line with other reports, namely a European ancestry study which reported a K allele frequency of 0.26–0.46 and a study on Dutch men with proven CAD, which reported a frequency of 0.46 [40, 41]. An analysis of the effect of a combination of ABCA1 genotypes on CAD showed that the RR+VI genotype was significantly associated with a high risk of CAD (OR = 2.82, 95 % CI 1.32–6.02, P = 0.007). However, an analysis of the effect of the combination of CETP genotypes on CAD showed no significant pattern. All other combinations lacked a significant association with an OR ranging from 0.73 to 1.24, except for B1B1+VI (OR = 1.7, P = 0.048). The prevalence of CAD was higher in males (M:F 708:282) than in females in the present study. Homozygous mutant and heterozygous of rs5882 in men and women were strongly associated with an increased risk of CAD, while the other two ABCA1 polymorphisms showed no significant association with CAD (OR = 0.73–1.13) in the female cohort. Also, heterozygousity of rs708272 alleles was strongly associated with an increased risk of CAD (OR = 0.65, P = 0.002), a homozygous carriage of rs5882, the rarer variants II causing amino acid substitutions showed a strong association with an increased risk of CAD (OR = 1.98, P = 0.0002) among the male cohort. The CETP rs5882 polymorphism was found to be associated with an increased risk for CAD in the overall study population and also in the male and female cohorts, which is in contrast to a recent study which reported that this polymorphism is associated with a decreased risk of CAD and MI [42]. Studies conducted in other populations have correlated the genotypes of ABCA1 and CETP and risk of CHD with respect to its effect on HDL-C. A study of 119 patients in Korea showed that the B1B1 genotype of the CETP Taq1B polymorphism was associated with low HDL-C levels in females and non-smoking males and may be an independent genetic risk factor for CAD [43]. In the present study, the B2 allele of the CETP rs708272 polymorphism was associated with a reduced risk of CAD mediated by elevated HDL-C concentrations. However, Borggreve et al. in their prospective population-based study (PREVENT study) on 8141 Caucasians demonstrated that the B2 and I alleles of the rs708272 (TaqIB) and rs5882 (V422I) of the CETP gene were not associated with a decreased risk for CAD, despite their HDL-C-raising effect suggesting that the risk may be independent of the gene’s influence on HDL-C levels [44]. Thus, the association of polymorphic CETP genotypes with a decreased cardiovascular risk seems to be independent of their effect on HDL-C levels [45-47].

Conclusion

This study is the first to report the association of these polymorphisms with the development of CAD in a Saudi population. A significant association of CETP rs5882 and ABCA1 rs2230806 polymorphism with CAD was observed marking these polymorphisms as risk factors. The rs708272 showed a protective effect for CAD, and rs2066715 of ABCA1 gene lacked any association with CAD, whereas the joint effect of the ABCA1 gene (RR+VI and KK+VV) conferred a higher risk for CAD. A sex difference subsists with a higher prevalence of CAD among males (M:F 708:282). Female heterozygous and male homozygous for the rs5882 were shown to have an increased risk of CAD.

Methods

Study population

Patients reporting to the cardiac clinic at King Fahd Hospital of the University, Al-Khobar, and other major hospitals in the Eastern Province of Saudi Arabia were screened, and angiographically confirmed CAD cases with at least one event of MI (N = 990) were enrolled in this study. A total of 618 age-matched normal Saudi controls with no history or family history of CAD were recruited from the blood banks of the same hospitals. This study was approved by the Ethical Committee of the University of Dammam. Signed written informed consent was obtained from all participants.

Genotyping

Blood samples (5 ml) were obtained from 1608 subjects in EDTA-coated tubes and DNA was extracted using QIAamp DNA isolation kit (Qiagen, Germany) as per the manufacturer’s instructions. Allele-Specific TaqMan® PCR procedures were used to detect the genetic variants rs2230806, rs2066715, rs708272, and rs5882.

Statistical analysis

The difference between cases and controls was evaluated using t test for continuous variables and Chi-square test for discrete variables. Allele frequencies were estimated by direct counting of the test allele divided by the total number of alleles. To assess the risk for CAD, odds ratio was determined by univariate analysis. All statistical analyses were performed using SPSS software (version19). The power of the study was calculated using online software sampsize.sourceforge.net.
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