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Association of Loci 6q25.1/rs6922269 and 9p21.3/rs1333049 with Risk of Coronary Heart Disease in Patients Visiting Hospitals of Gujranwala and Lahore Divisions

PJZ_50_6_2295-2300

 

 

Association of Loci 6q25.1/rs6922269 and 9p21.3/rs1333049 with Risk of Coronary Heart Disease in Patients Visiting Hospitals of Gujranwala and Lahore Divisions

Iqra Arooj1,* and Shahida Hasnain2

1Department of Microbiology and Molecular Genetics, The Women University, Multan

2Department of Microbiology and Molecular Genetics, University of the Punjab, Lahore

ABSTRACT

Cardiovascular diseases such as coronary heart disease (CHD) are a growing health concern in developing and under-developed countries. Some of their risk factors are smoking, obesity, diabetes, family history, high blood pressure etc. Previous genome wide association studies have identified association of large number of loci with risk of CHD in different populations. The purpose of this study was to determine the association of 6q25.1/rs6922269 and 9p21.3/rs1333049 loci with risk of CHD in a population of Punjab province of Pakistan. A total of 645 subjects were included in this study of which 435 were patients visiting hospitals of Lahore and Gujranwala districts. All the subjects were genotyped by allele-specific PCR. It was observed that the loci 6q25.1/rs6922269 and 9p21.3/rs1333049 were significantly associated with risk of CHD in this population (P=0.001 and 0.012, respectively).


Article Information

Received 25 April 2018

Revised 18 May 2018

Accepted 28 May 2018

Available online 11 October 2018

Authors’ Contributions

SH designed the study, helped in statistical analysis and supervised the study. IA performed experimental work, statistically analyzed the data and wrote the article.

Key words

Coronary heart disease, 6q25.1, 9p21.3, rs6922269, rs1333049.

DOI: http://dx.doi.org/10.17582/journal.pjz/2018.50.6.2295.2300

* Corresponding author: iqra.6051@wum.edu.pk

0030-9923/2018/0006-2295 $ 9.00/0

Copyright 2018 Zoological Society of Pakistan



Introduction

Cardiovascular diseases including coronary heart disease (CHD) are the leading cause of mortality worldwide and are responsible for approximately one in three deaths across the globe (Mensah et al., 2013). Several risk factors are associated with these diseases including metabolic syndrome, for instance (Saqlain et al., 2018). It has been estimated that one in five middle-aged adults may have underlying CHD in urban areas of Pakistan (Gaziano et al., 2010; Ahmed et al., 2013). Candidate gene association studies have identified numerous genes responsible for the pathogenesis of CHD (Thompson and Danesh, 2006), but this approach has not proved highly productive due to the fact that only a few of the identified genes demonstrate association in replication studies (Hirschhorn et al., 2002). More recently, genome-wide association studies emerged as a strong approach for identifying previously unknown risk loci. First report of an association between a polymorphism in MTHFD1L gene and CHD surfaced in 2007 when meta-analysis of two large genome-wide association studies found a statistically significant association between rs6922269 and CHD (Samani et al., 2007). Subsequent reports in this replicated in some of the succeeding studies, while in others no significant association was observed between rs6922269 and CHD or related disease states (Muendlein et al., 2009; Angelakopoulou et al., 2011; Hubacek et al., 2016). rs6922269 was also described for being significantly protective against myocardial infarction (Saade et al., 2011). In addition to CHD, polymorphisms in MTHFD1L gene have been found to be important in the pathogenesis of several other human diseases including cancer, Alzheimer’s disease, and neural tube abnormalities (Parle-McDermott et al., 2009; Ren et al., 2011; Johnson et al., 2016). Consistent association of a 58kb interval on human chromosomal location 9p21 with CHD proved impulsive for its identification in a genome wide association scan (McPherson et al., 2007). Subsequent identification and investigation of genetic variants present in this region revealed that a number of single nucleotide polymorphisms (SNPs) and haplotypes located here were significantly associated with the risk of CHD and some other diseases but the most powerful association with CHD was exhibited by rs1333049 out of all the SNPs that were present at chromosome 9p21.3 (WTCCC, 2007). The same genetic variant was later found to be associated with several other diseases including stroke, peripheral artery disease, abdominal aortic aneurysm, gout, Alzheimer’s disease and endometriosis (Cluett et al., 2009; Karvanen et al., 2009; Yu et al., 2010; Pagliardini et al., 2013; Wei et al., 2014; Zheng et al., 2016). Previous studies have also identified 9p21.3/rs1333049 as risk locus for CAD or MI in Asian populations including Pakistani population (Saleheen et al., 2010). Replication of association between rs1333049 and risk of CHD in other studies has contributed towards establishment of this locus as a risk factor for CHD which has provided a new hope to decipher the genetic basis of complex diseases (Hinohara et al., 2008). However, the direct mechanistic link between the loci 6q25.1 and 9p21.3, and atherosclerosis is yet to be determined. In this study, we sought to replicate the association of loci 6q25.1/rs6922269 and 9p21.3/rs1333049 with CHD in Pakistani patients visiting hospitals of Gujranwala and Lahore districts representing Central Punjab.

 

Materials and methods

CHD cases were defined as having a prior history of myocardial infarction (MI) and/or coronary revascularization which was indicated by the cardiac specialists based on available clinical information and medical records. Controls were healthy volunteers having no diagnosis or symptoms of CHD or any other cardiac disease. The controls were selected based on self-report about their previous medical history and records. Individuals with history of any bacterial or viral infection from last 15 days were excluded. This case–control study was approved by Board of Advance Studies and Ethical Committee of the University of the Punjab. Permission for sample collection was granted by the relevant institutional ethical committees and review boards of the hospitals. All cases and controls provided written or verbal informed consent (if unable to write due to educational background) or consent provided by a family member. The present study included 435 CHD cases, recruited from various clinical settings of Lahore (Punjab Institute of Cardiology, Mayo Hospital, Jinnah Hospital) and Gujranwala (Siddique Sadiq Memorial Trust Hospital, District Headquarters Hospital, Cheema Heart Complex, Social Security Hospital) divisions of Punjab from March to December 2010. There were 210 healthy controls matching to CHD cases in age and gender and comprising hospital employees, employees of government institutions, friends and colleagues of study-staff, attendants of other patients, and manual laborers. They were recruited from the same communities as cases and fulfilled inclusion criteria. Information on co-morbidities was recorded on a pre-designed form for CHD cases and controls. This included diabetes, hypertension and obesity based on clinician’s diagnosis and medical record review. Smoking status was also recorded based on the self-reported history. Body mass index (BMI) was calculated as Kg/m2 from weight measured in kilograms (Kg) and height measured in meters (m). Five ml of blood was drawn from study participants by venipuncture and stored in EDTA vial for later genetic analysis. Isolated serum from the 3 ml blood stored in plain tube was screened for HIV, HCV and HbsAg using one-step device (Acu-check®) and following the manufacturer’s instructions.

For SNP genotyping, genomic DNA extraction for CHD cases and controls was performed using the Promega Genomic DNA Purification Kit (Cat # A1125). Allele-specific primers were designed for rs6922269, (forward primer 1 for wild-type allele: 5’-CTG TAA CTG CCA ATA AG-3’, forward primer 2 for variant allele: 5’-CTG TAA CTG CCA ATA AA-3’, common reverse primer: 5’-CTT CAT GAT AAG CAT TCT-3’) and rs1333049 (common forward primer: 5’-GCC ATG TCA GGG CCA GAA GTC G-3’, reverse primer 1 for wild-type allele 1: 5’- CCT CTG CGA GTG GCT GCT TTT C-3’, reverse primer 2 for variant allele: 5’- CCT CTG CGA GTG GCT GCT TTT G-3’) polymorphisms using web-based tool primer 3 (http://bioinfo.ut.ee/primer3-0.4.0/) and synthesized from Gene Link, USA. The PCR thermal cycling programme for rs6922269 consisted of initial denaturation at 94°C for 2 min followed by 33 cycles each of denaturation at 94°C for 1 min, annealing at 54 °C for wild-type allele and 56.5°C for variant allele for 1 min and extension at 72°C for 1 min and final extension at 72°C for 8 min. The PCR thermal cycling programme for rs1333049 comprised of initial denaturation at 95°C for 3 min followed by 35 cycles each of denaturation at 95°C for 1 min, annealing at 63 °C for 50 sec for wild-type allele and 65°C for 1 min for variant allele and extension at 72°C for 1 min and final extension at 72°C for 10 min. The product size was 502bp for rs6922269 polymorphism and 801bp for rs1333049 polymorphism. Descriptive statistics including mean and standard error of mean (SEM) was done in Microsoft Excel. For comparison between case and control groups, student’s t-test for unpaired samples was performed. Statistical significance based on t-test was documented using a P-value of less than 0.05. Odds ratio and confidence intervals were calculated with the help of online software (http://www.medcalc.org/calc/odds_ratio.php). Calculation of Hardy-Weinberg equilibrium was done by chi square test using a statistical package SPSS version 20.0 (SPSS, USA).

 

Results

Out of 645 (435 cases and 210 controls) participants, 32 (5.0%) tested positive for HCV and 7 (1.0%) for HbsAg. However, none of the participants tested positive for HIV. The HCV+ and HbsAg+ samples were excluded from

 

Table I.- Distribution of 6q25.1/rs6922269 and 9p21.3/rs1333049 genotypes in CHD cases and controls.

Polymorphism

Genotype

Cases (n=403)

Controls (n=203)

OR (95% CI)

Pearson's Chi-squared test p (χ2)

rs6922269

GG

260

155

0.56 (0.384-0.826)

p=0.012 (8.817)

GA

127

42

1.76 (1.183-2.630)

AA

16

6

1.36 (0.523-3.523)

rs1333049

GG

73

61

0.52 (0.348-0.763)

p=0.001 (13.231)

GC

214

102

1.12 (0.800-1.571)

CC

116

40

1.65 (1.096-2.476)

OR, odds ratio; CI, confidence interval.

 

subsequent analysis. The baseline characteristics of cases and controls are summarized in Supplementary Table I. In the present study, 403 CHD cases (mean age ± SEM years, 55.08 ± 0.535; 77.9% males) and 203 controls (mean age ± SEM years, 51.77 ± 0.421; 77.8% males) were included after screening. Cases were categorized into three groups based on first cardiac event experienced i.e. myocardial infarction (MI, N=259; 64.3%), percutaneous coronary intervention (PCI, N=93; 23.1%) and coronary artery bypass grafting (CABG, N=51; 12.6%). Cases were matched to controls on gender (P=0.981) and age (P=0.565); age at first event for cases was matched with age at recruitment for controls. Systolic blood pressure (SBP) was found to be higher in cases compared to controls (119.44 ± 0.99 vs 114.23 ± 0.48; P=0.001) although the average values were within the normal range for both groups. CHD cases and controls were significantly different on pulse rate (P=0.008) and smoking (P=5.374×10-07). There were more diabetic and hypertensive CHD cases than controls (diabetic CHD cases vs. controls, 32% vs. 18%: hypertensive CHD cases vs. controls, 39% vs. 27%). As expected, both groups were significantly different based on the family history of CHD or any other CVD (P=2.087×10-32). Supplementary Figure S1 illustrates the genotyping results for rs6922269 and rs1333049 based on allele-specific PCR. In our study, the genotype distributions in CHD cases and in controls were in Hardy-Weinberg equilibrium for rs6922269 (P=0.921; P=0.143, respectively) as well as rs1333049 (P=0.136; P=0.822, respectively). The present study showed that association with the risk of CHD was significant for the loci 6q25.1/rs6922269 (OR=1.36; 95% CI=0.52-3.52; P=0.012) and 9p21.3/rs1333049 (OR=1.65; 95% CI=1.09-2.47; P=0.001) in Pakistani population (Table I).

Discussion

In the present study, we have tested for the association of 6q25.1/rs6922269 and 9p21.3/rs1333049 with CHD in Pakistani population of Central Punjab. CHD case samples for this study were recruited from different hospitals in Gujranwala and Lahore Division, which are frequently visited by patients from all over Punjab. All-time smokers were found to be abundant in patients (53%) when compared to controls (32%). This finding highlights the significance of smoking as a risk factor for CHD as established by previous studies (Huxley and Woodward, 2011). Surprisingly, average BMI was lower in CHD cases (25.59 Kg/m2) compared to controls (26.35 Kg/m2). This could possibly be a result of careful eating, maintaining a healthy weight and exercise, as CHD patients are usually advised to change their lifestyle habits and become more active. Diabetes and hypertension were also more prevalent in cases as compared to controls which reinforces their recognition as risk factors for CHD (Erbel et al., 2012; Peters et al., 2014). In our cohort the frequency of the risk allele [A] for rs6922269 was higher in cases as compared to controls (0.20 vs 0.13; P=0.002). Previous studies also described a higher frequency of allele A in CHD cases (0.27 vs 0.26) of European origin (CADC, 2009). However, some other studies, where no association between rs6922269 [A] and CHD was found, gave opposite results. For example, lower A allele frequency was reported in CHD cases (0.22 vs 0.23) belonging to a Tunisian population (Ghazouani et al., 2010). Our study showed that the locus 6q25.1 was significantly associated with risk of CHD in population of Central Punjab (P=0.012). Additionally, the risk allele, A, was associated with an elevated risk of CHD in this population (OR=1.36, 95% CI=0.52-3.52). Previously, this SNP was reported to have an association with risk of CHD in combined analysis of German and UK populations (P=2.9×10-8) and an independent analysis of European populations (P=0.020) (Samani et al., 2007; CADC, 2009). It was also documented to have an association with incident CHD in American Whites (P=5.1×10-10) and to predict cardiovascular mortality (Franceschini et al., 2011; Hubacek et al., 2016). On the contrary, some other studies found no association between rs6922269 and risk of CHD or MI (Muendlein et al., 2009; Ghazouani et al., 2010). In our study, the observed significant association of rs1333049 with risk of CHD is mainly attributed to increased risk allele frequency in cases compared to controls (0.55 vs 0.45; P=0.002). Previous reports have also shown a higher risk allele frequency in CHD or MI cases than in controls for other populations, including for example, 0.52 vs 0.49 in Japanese and 0.56 vs 0.46 in Han Chinese populations (Hiura et al., 2008; Peng et al., 2009). A study in Pakistani population also reported the association of C allele of rs1333049 with increased risk of MI (OR=1.55, 95% CI=1.22-1.96) (Ahmed et al., 2013). We also found out that the 9p21.3/rs1333049 was significantly associated with risk of CHD in Pakistani population (P=0.001). The risk allele, C, was observed to be associated with an increased risk of CHD in our population (OR=1.65; 95% CI=1.10-2.48). The association p value reported by the original study was very high (3×10-19) and such strong signal has not been replicated in any of the later association studies (Samani et al., 2007). Later replication studies have revealed a strong association between rs1333049 and risk of CHD or MI in Japanese (OR=1.30; 95% CI=1.13-1.49; P=0.00027), European (OR=1.24; 95% CI=1.20-1.29; P=6.04×10-10) and East Asian (OR=1.29; 95% CI=1.23-1.36; P=0.001) populations, for instance (Hinohara et al., 2008; Schunkert et al., 2008; Guo et al., 2013). The PROMIS study in MI patients of Pakistan showed an odds ratio of 1.31 (p=2×10-3) per copy of the risk allele in subjects experiencing MI (Saleheen et al., 2010). The reported association of risk allele of rs1333049 with CHD in our population is, therefore, in accordance with the findings of previous studies. Our study is, however, limited because of the inclusion of a limited number of participants. Another limitation of this study is the non-random sampling of controls as they were selected based on convenience for CHD.

 

Conclusion

We have demonstrated association of rs6922269[A] and rs1333049[C] polymorphisms with CHD in a population of Central Punjab, Pakistan. There is, however, need to study these loci, especially rs6922269, in more detail in a larger sample to fully establish their role in the pathogenesis of CHD, as their exact functional relevance is yet to be known.

 

Acknowledgements

We acknowledge all the participants for donating their blood to conduct this study and the staff of various hospitals in Lahore, and Gujranwala for their help in sample collection.

 

Supplementary material

There is supplementary material associated with this article. Access the material online at: http://dx.doi.org/10.17582/journal.pjz/2018.50.6.2295.2300

 

Statement of conflict of interest

We declare that there is no conflict of interests regarding the publication of this article.

 

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Pakistan Journal of Zoology

December

Vol. 50, Iss. 6, Pages 1999-2398

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