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A study of the association of rs12040273 with susceptibility and severity of coronary artery disease in a Chinese Han population

BMC Cardiovascular Disorders volume 18, Article number: 10 (2018) Cite this article

Abstract

Background

The single nucleotide polymorphism (SNP) rs12040273, a variant of UDP-N–acetylgalactosamine, polypeptide GalNAc-transferase 2, has recently been reported to be significantly associated with development of carotid artery intima-media thickness (IMT) in a Chinese population based on a genome-wide association study. Because IMT is a potent marker of coronary artery disease (CAD), the aim of this study was to evaluate the relation of rs12040273 to susceptibility and severity of CAD in a Chinese Han population.

Methods

We performed a hospital-based case-control study. Three hundred and thirty-one individuals (199 CAD patients and 112 non-CAD controls) undergoing coronary angiography were consecutively enrolled in the study. The Gensini score results were used to assess the severity of CAD. The method of polymerase chain reaction-ligase detection reaction (PCR-LDR) was used to distinguish different genotypes at rs12040273.

Results

The distribution of genotypes at rs12040273 was comparable between CAD patients and non-CAD controls (P > 0.05). The frequencies of the genotypes were also not significantly associated with the risk of CAD and its severity assessed by the Gensini score method, with the OR of 1.38 (95% CI = 0.80–2.40, P = 0.24) and 1.14 (95% CI = 0.69–1.86, P = 0.60) respectively. However, stratified analysis showed that the serum HDL-C levels of subjects with the CC genotype were significantly higher than those with CT/TT genotypes in non-CAD controls (P = 0.002).

Conclusion

Our results suggest that the rs12040273 variants might not be associated with the susceptibility of CAD or its severity in a Chinese Han population. Moreover, the CC genotype could be associated with elevated serum HDL-C levels.

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Background

Coronary artery disease (CAD) remains a major cause of morbidity and mortality worldwide, although its effective therapeutic strategies have been greatly improved in recent years. Atherosclerosis plays a vital role in the pathological process of CAD, which comprises multiple risk factors and clinical entities that include genetic and nongenetic aspects, and is also affected by their interactions [1].

As a member of a homologous family of UDP-N–acetylgalactosamine, polypeptide GalNAc-transferase2 (GALNT2) is located at chromosome 1q41-q42, which shares overall amino acid sequence similarities of approximately 45–50% and has been found to span 16 exons [2]. GALNT2 encodes an enzyme, N-acetylglucosaminyltransferase 2, which is involved in the process of O-linked glycosylation of proteins. GALNT2 has been identified as a candidate gene in lipid metabolism by genome-wide association studies (GWAS), and its single nucleotide polymorphisms (SNPs) might be correlated with plasma lipids [3, 4]. Lipid disorders are closely related to the formation of coronary artery lesions and are independent factors in the prediction and prognosis of CAD [5].

More recently, the Xie et al. study revealed that rs12040273 is remarkably associated with carotid artery intima-media thickness (IMT) at the genome level, based on GWAS on progression of IMT in a Chinese cohort over 10 years [6]. With atherosclerosis as the common pathophysiologic mechanism, both CAD and carotid IMT share similar risk factors, including hypertension, diabetes, dyslipidemia, and metabolic syndrome [7]. Moreover, carotid artery IMT has been a potent marker of asymptomatic subclinical atherosclerosis [8]. In combination, these findings suggest that rs12040273 might potentially be associated with the risk of CAD.

However, no study has previously investigated whether rs12040273 might be linked to the susceptibility and severity of CAD. Therefore, we performed this hospital-based case-control study to explore whether rs12040273 might be associated with risk and severity of CAD in a Chinese Han population, by which optimal preventive and therapeutic strategies to reduce the heavy burden of morbidity and mortality from CAD could be further improved.

Methods

Study population

A total of 311 consecutive patients of Chinese Han ethnicity undergoing coronary angiography (CAG) from January 2014 to December 2015 admitted to the Department of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital East were included in the study. One hundred and ninety-nine patients with confirmed CAD acted as cases and 112 non-CAD subjects as controls. CAD was defined as coronary artery stenosis ≥50% in at least one main vessel or its major branches, and the participants with all main coronary arteries and large branches narrowing less than 30% were enrolled as non-CAD controls. The Gensini score method was used to evaluate the severity of CAD [9]. Stenosis severity of <25%, 26%–50%, 51%–75%, 76%–90%, 91%–99%, and total occlusion were given a Gensini score of 1, 2, 4, 8, 16, and 32, respectively [9]. The CAD patients were divided into high (> 40 points) and low (≤ 40 points) subgroups, according to Gensini scores [10]. The exclusion criteria included severe liver or kidney disease, heparin use or bleeding disorders, thyroid disease, and cardiomyopathy and malignant diseases.

Ethics approval and consent to participate

The Ethics Committee of Shanghai Jiao Tong University Affiliated Sixth People’s Hospital East approved this study, and all participants gave their written consent before the study began.

Definitions of baseline risk factors and measurement

All conventional CAD risk factors including hypertension, cigarette smoking, dyslipidemia, and diabetes were defined as reported before [11]. Fasting blood sugar (FBS), total cholesterol (TC), triglycerides (TG), HDL-C, and low-density lipoprotein cholesterol (LDL-C) were measured and calculated using standard methods.

DNA extraction and genotyping

Lymphocytic DNA samples were drawn from peripheral venous blood of all participants by using the available AxyPrep DNA Blood kit (Axygen Scientific Inc., CA, USA). The rs12040273 polymorphism was genotyped by the modified method of polymerase chain reaction-ligase detection reaction (PCR-LDR), as previously described [12]. Five percent of samples were selected randomly for sequencing to confirm the results of genotyping.

Statistical analyses

Statistical analyses were conducted using SPSS 19.0 for Windows (SPSS Inc., Chicago, USA). Continuous variables and categorical variables are described as mean ± standard deviation and numbers or percentages as appropriate. A general linear model was performed to adjust for the effects of age and sex. Other data expressed as frequencies and percentages were analyzed using the chi-square (χ2)-test, which was also used to compare the allele frequencies and genotype distributions between non-CAD controls and CAD cases. The association between the genotypes and risk of CAD was assessed by calculating values for odds ratios (ORs) and 95% confidence intervals (95% CIs). Logistic regression was used to adjust for covariates including hypertension, diabetes, smoking status, age, sex, and dyslipidemia. The linear trend in the association of rs12040273 polymorphism with the severity of CAD was evaluated by the χ2-test for trends. Two-tailed P-value less than 0.05 was considered statistically significant.

Results

Demographic information

The characteristics of CAD subjects and controls are shown in Table 1. CAD patients were older, and a large percentage of them were male smokers. Moreover, a higher proportion of patients with CAD were affected by hypertension, diabetes, and dyslipidemia compared with the control group (all P < 0.05). The serum HDL-C level in the CAD group was lower in contrast to that in the control group (P = 0.002), whereas no significant differences were found with regards to serum TC, LDL-C, and TG levels between the 2 groups (all P > 0.05).

Table 1 The characteristics of CAD patients and non-CAD controls
Full size table

Genotypes, allele frequencies of rs12040273, and their associations with risk of CAD

The minor allele T frequency of rs12040273 equals 0.362, and the genotype distribution in the present study meets with the Hardy-Weinberg equilibrium (P > 0.05). The frequencies of the CC, CT, and CT genotypes were 45.5%, 37.5%, and 17.0% in the controls, and 38.2%, 46.2%, and 15.6% in the CAD patients, respectively (Table 2). Distribution of rs12040273 genotypes was comparable between the CAD group and controls (P > 0.05). The risk estimates for the variants at rs12040273 among CAD patients and controls were listed in Table 2. Furthermore, after adjusting for CAD risk factors including hypertension, diabetes, dyslipidemia, sex, and age, the OR for subjects with the genotypes CT and TT was 1.38 (95% CI: 0.80–2.40, P = 0.24).

Table 2 Distribution and the risk estimates of rs12040273 with CAD
Full size table

The association of genotypes of rs 12,040,273 with CAD severity

Table 3 shows the association between the polymorphisms studied and the severity of CAD expressed by the Gensini score. The distribution of different genotypes was similar between the subgroups of low and high Gensini scores (P > 0.05). Additionally, no significant association was found between the examined polymorphisms and the Gensini scores after adjusting for the covariates of age, sex, hypertension, diabetes, and dyslipidemia (adjusted OR = 1.14, 95% CI: 0.69–1.86, P = 0.60).

Table 3 Association of rs12040273 variants with Gensini scores
Full size table

Lipid profiles in CAD cases and controls with different rs12040273 genotypes

The HDL-C levels were significantly different between the CC and CT/TT genotypes in the control group (P = 0.002), but not in the CAD patients (Table 4). The controls with a CC genotype had an increased serum HDL-C level compared with those with a CT/TT genotype. However, we could not find a significant association between the rs12040273 genotypes and TG, TC, and LDL-C levels between the two groups.

Table 4 Lipid profiles with rs12040273 genotypes between CAD cases and controls
Full size table

Discussion

In this study, we found that the distribution of genotypes at rs12040273 was not remarkably different between the CAD patients and the non-CAD controls, and the disparity of its distribution between the high and low Gensini score groups also did not reach statistical significance. Importantly, our stratified analysis suggests that the rs12040273 C allele is associated with an increased serum HDL-C level in non-CAD controls, and it may be associated with HDL metabolism. Therefore, the results of our study are not consistent with the results of previous studies [3, 4, 13]. This lack of consistency suggests that the rs12040273 polymorphism might not be associated with increased susceptibility and severity of CAD in this Chinese Han population.

Studies have proved that variations in the first intron of the GALNT2 gene at 1q42 are associated with changes in TG and HDL-C levels [3, 4, 13,14,15]. In a population-based GWAS, 302,218 SNPs were genotyped in Chinese adults 53–79 years of age. Xie et al. found a significant association between rs12040273 and carotid artery IMT [6]. Increased IMT is an early marker of atherosclerosis and is an independent predictor of cardiac events [8, 16], and the formation on atherosclerotic plaques is the key pathological process for carotid artery disease and CAD, which also share common risk factors [17]. It is thus hypothesized that rs12040273 could potentially be associated with the risk and severity of CAD, although no exact genetic evidence of this correlation has been reported. The Gensini score is an appropriate evaluation method for the severity of CAD [18] and therefore was used in our study.

Ping et al. examined the role of promoter methylation of the GALNT2 gene in a Chinese Han population and found that aging and smoking were important factors that might influence DNA promoter hypermethylation of GALNT2 [19]. Moreover, Marucci et al. studied the relation between hyperglycemia and GALNT2 down-regulation observed in human PWBC, and observed GALNT2 expression is reduced in patients with type 2 diabetes [20]. Therefore, we cannot exclude the underlying factors that influence the expression of rs12040273, because no significant differences existed in baseline clinical characteristics between the CAD and control groups. Taken together, to ascertain whether rs12040273 is a functional site, further studies related to its complex mechanism of genetics and molecular biology are needed, including metabolism disturbance, immune or inflammatory response, and rupture of atherosclerotic plaques.

Interestingly, our stratified analysis showed that the serum HDL-C levels in subjects with CC genotype are significantly higher than that of participants with a CT/TT genotype in the controls, although no significant interaction was detected between the genotypes and serum HDL-C level in the CAD group, and serum TC, LDL-C, and TG levels between the two groups. Holleboom et al. revealed a missense mutation in GALNT2 caused by a reduction in GalNAc-T2 catalytic activity and increased HDL-C levels in man [21]. Furthermore, Teslovich et al. found that reducing the transcript level of GALNT2 through the delivery of an shRNA via a vector could produce higher HDL-C levels compared with levels in the control group [13]. Studies have demonstrated that serum HDL-C not only plays a role in prevention of CAD but also is highly heritable, and heritability estimate is approximately 40–60% for HDL-C levels [22, 23]. To some extent, our study suggests that the rs12040273 C allele may be a protective factor for CAD due to its elevated serum HDL-C levels, whereas further studies should be done to explore its mechanism of genetic variation.

The present study has several limitations. First, selection bias may exist due to the study design, and the power of our study was reduced. Second, we could not obtain a comprehensive view of the rs12040273 genetic variability, because the indexes for assessing its function were relatively simple. Lastly, a single case–case study and relatively small sample sizes are too weak to fully explore the relationship between this SNP and its susceptibility to CAD and its severity.

Conclusion

Our study shows that the rs12040273 polymorphism is not significantly associated with the risk and severity of CAD in a Chinese Han population. Interestingly, our stratified analysis suggests that the rs12040273 C allele is associated with an increased serum HDL-C level in non-CAD controls, and it may be involved in the metabolism of HDL-C. Studies with large samples are warranted to explore its genetic function and interaction with covariants, including inflammatory and environmental factors.

Abbreviations

CAD:

coronary artery disease

CAG:

coronary angiography

CI:

confidence interval

DM:

diabetes mellitus

DNA:

deoxyribonucleic acid

FBS:

fasting blood sugar

GALNT2:

GalNAc-transferase2

GWAS:

genome-wide association studies

HDL-C:

high-density lipoprotein cholesterol

IMT:

intima-media thickness

LDL-C:

low-density lipoprotein cholesterol

OR:

odds ratio

PCR-LDR:

polymerase chain reaction-ligase detection reaction

SNPs:

single nucleotide polymorphisms

TC:

total cholesterol

TG:

triglycerides

References

  1. Howson JMM, Zhao W, Barnes DR, Ho WK, Young R, Paul DS, et al. Fifteen new risk loci for coronary artery disease highlight arterial-wall-specific mechanisms. Nat Genet. 2017;49(7):1113–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Bennett EP, Weghuis DO, Merkx G, Van Kessel AG, Eiberg H, Clausen H. Genomic organization and chromosomal localization of three members of the UDP-N-acetylgalactosamine: polypeptide N-acetylgalactosaminyltransferase family. Glycobiology. 1998;8(6):547–55.

    Article  CAS  PubMed  Google Scholar 

  3. Willer CJ, Sanna S, Jackson AU, Scuteri A, Bonnycastle LL, Clarke R, et al. Newly identified loci that influence lipid concentrations and risk of coronary artery disease. Nat Genet. 2008;40(2):161–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Kathiresan S, Melander O, Guiducci C, Surti A, Burtt NP, Rieder MJ, et al. Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans. Nat Genet. 2008;40(2):189–97.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Danesh J, Collins R, Peto R. Lipoprotein (a) and coronary heart disease. Meta-analysis of prospective studies. Circulation. 2000;102(10):1082–5.

    Article  CAS  PubMed  Google Scholar 

  6. Xie G, Myint PK, Voora D, Laskowitz DT, Shi P, Ren F, et al. Genome-wide association study on progression of carotid artery intima media thickness over 10 years in a Chinese cohort. Atherosclerosis. 2015;243(1):30–7.

    Article  CAS  PubMed  Google Scholar 

  7. Pasternak RC, Criqui MH, Benjamin EJ, Fowkes FG, Isselbacher EM, McCullough PA, et al. Atherosclerotic vascular disease conference: writing group I: epidemiology. Circulation. 2004;109(21):2605–12.

    Article  PubMed  Google Scholar 

  8. Cohen GI, Aboufakher R, Bess R, Frank J, Othman M, Doan D, et al. Relationship between carotid disease on ultrasound and coronary disease on CT angiography. JACC Cardiovasc Imaging. 2013;6(11):1160–7.

    Article  PubMed  Google Scholar 

  9. Gensini GG. A more meaningful scoring system for determining the severity of coronary heart disease. Am J Cardiol. 1983;51(3):606.

    Article  CAS  PubMed  Google Scholar 

  10. Ma L, Cheng GH, Wang H, Li L, Gong YQ, Liu QJ. Association of the ABCG1 gene polymorphism with the susceptibility and severity of coronary atherosclerotic disease. Zhonghua Yi Xue Yi Chuan Xue Za Zhi. 2010;27(5):506–11.

    CAS  PubMed  Google Scholar 

  11. Chen Z, Zhang X, Ma G, Qian Q, Yao Y. Association study of four variants in KCNQ1 with type 2 diabetes mellitus and premature coronary artery disease in a Chinese population. Mol Biol Rep. 2010;37:207–12.

    Article  CAS  PubMed  Google Scholar 

  12. Zhang Z, Wang BJ, Guan HY, Pang H, Xuan JF. A LDR-PCR approach for multiplex polymorphisms genotyping of severely degraded DNA with fragment sizes <100 bp. J Forensic Sci. 2009;54(6):1304–9.

    Article  CAS  PubMed  Google Scholar 

  13. Teslovich TM, Musunuru K, Smith AV, Edmondson AC, Stylianou IM, Koseki M, et al. Biological, clinical and population relevance of 95 loci for blood lipids. Nature. 2010;466(7307):707–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Ten Hagen KG, Fritz TA, Tabak LA. All in the family: the UDP-GalNAc:polypeptide N-acetylgalactosaminyltransferases. Glycobiology. 2003;13(1):1R–16R.

    Article  CAS  PubMed  Google Scholar 

  15. Bennett EP, Mandel U, Clausen H, Gerken TA, Fritz TA, Tabak LA. Control of mucin-type O-glycosylation: a classification of the polypeptide GalNAc-transferase gene family. Glycobiology. 2012;22(6):736–56.

    Article  CAS  PubMed  Google Scholar 

  16. Baldassarre D, Veglia F, Hamsten A, Humphries SE, Rauramaa R, de Faire U, et al. Progression of carotid intima-media thickness as predictor of vascular events: results from the IMPROVE study. Arterioscler Thromb Vasc Biol. 2013;33(9):2273–9.

    Article  CAS  PubMed  Google Scholar 

  17. Triposkiadis F, Sitafidis G, Kostoulas J, Skoularigis J, Zintzaras E, Fezoulidis I. Carotid plaque composition in stable and unstable coronary artery disease. Am Heart J. 2005;150(4):782–9.

    Article  PubMed  Google Scholar 

  18. Pan HC, Sheu WH, Lee WJ, Lee WL, Liao YC, Wang KY, et al. Coronary severity score and C-reactive protein predict major adverse cardiovascular events in patients with stable coronary artery disease (from the Taichung CAD study). Clin Chim Acta. 2015;445:93–100.

    Article  CAS  PubMed  Google Scholar 

  19. Peng P, Wang L, Yang X, Huang X, Ba Y, Chen X, et al. A preliminary study of the relationship between promoter methylation of the ABCG1, GALNT2 and HMGCR genes and coronary heart disease. PLoS One. 2014;9(8):e102265.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Marucci A, di Mauro L, Menzaghi C, Prudente S, Mangiacotti D, Fini G, et al. GALNT2 expression is reduced in patients with type 2 diabetes: possible role of hyperglycemia. PLoS One. 2013;8(7):e70159.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Holleboom AG, Karlsson H, Lin RS, Beres TM, Sierts JA, Herman DS, et al. Heterozygosity for a loss-of-function mutation in GALNT2 improves plasma triglyceride clearance in man. Cell Metab. 2011;14(6):811–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Weiss LA, Pan L, Abney M, Ober C. The sex-specific genetic architecture of quantitative traits in humans. Nat Genet. 2006;38(2):218–22.

    Article  CAS  PubMed  Google Scholar 

  23. Kathiresan S, Manning AK, Demissie S, D’Agostino RB, Surti A, Guiducci C, et al. A genome-wide association study for blood lipid phenotypes in the Framingham heart study. BMC Med Genet. 2007;8 Suppl 1:S17.

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Acknowledgements

Not Applicable.

Funding

This work was supported by grants from Jiangsu Province’s Key Provincial Talents Program (No.ZDRCA201604), the “333 high level talents Project” of Jiangsu Province (No. BRA2015326), and the National Natural Science Foundation of China (No. 81570363) and Shanghai Hospital Development Center Project (SHDC12017X24). The funders had no role in the data analysis and manuscript preparation.

Availability of data and materials

The data analyzed in the present study are not available because of the agreement between the authors and the participants for their privacy.

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Authors and Affiliations

  1. Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China

    Bo Yang, Shan Yan, Jianjun Yan, Yafei Li, Mohammad Reeaze Khurwolah & Liansheng Wang

  2. Department of Cardiology, Affiliated Sixth People’s Hospital East, Shanghai University of Medicine and Health Sciences; Shanghai Jiao Tong University Affiliated Sixth People’s Hospital East, No. 222 Huanhu Xisan Road, Shanghai, 201306, China

    Zhong Chen

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  1. Bo Yang
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Contributions

Z C and LS W conceived and designed the study, Z C and LS W made critical revision of the draft manuscript. B Y, JJ Y interpreted the results, finished the data analysis and wrote the draft manuscript. B Y, YF L, S Y, MR K participated in the laboratory tests and data collection. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Liansheng Wang or Zhong Chen.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Ethics Committee of Shanghai Jiao Tong University Affiliated Sixth People’s Hospital East and all participants gave their written consent before the study began.

Consent for publication

Not Applicable.

Competing interests

The authors declare that they have no competing interests.

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Yang, B., Yan, S., Yan, J. et al. A study of the association of rs12040273 with susceptibility and severity of coronary artery disease in a Chinese Han population. BMC Cardiovasc Disord 18, 10 (2018). https://doi.org/10.1186/s12872-018-0743-2

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Keywords

BMC Cardiovascular Disorders

ISSN: 1471-2261

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