Association between matrix metaloproteinases 2-1306C/T polymorphism and the risk of coronary artery disease in Iranian population

Association between MMP2 gene polymorphisms and dilated cardiomyopathy in a Chinese Han population

AIMS

Dilated cardiomyopathy (DCM) belongs to the common types of cardiomyopathies. The pathogenesis remains unclear despite the fact that various genes have been found associated with DCM. MMP2 is a zinc-dependent and calcium-containing secreted endoproteinases, which could cleave a broad spectrum of substrates including extracellular matrix components and cytokines. It has proved to play an important role in the cardiovascular diseases. This study aimed to investigate the potential role of MMP2 gene polymorphisms in DCM susceptibility and prognosis in a Chinese Han population.

METHODS AND RESULTS

A total of 600 idiopathic DCM patients and 700 healthy controls were enrolled. Patients with contact information were followed up for a median period of 28 months. Three tagged single nucleotide polymorphisms (rs243865, rs2285052, and rs2285053) in the promoter of MMP2 gene were genotyped. A series of function analysis were conducted to illuminate the underlying mechanism. The frequency of rs243865-C allele was increased in DCM patients when compared with healthy controls (P = 0.001). Genotypic frequencies of rs243865 were associated with the susceptibility of DCM in the codominant, dominant, and overdominant models (P < 0.05). Besides, rs243865-C allele presented a correlation with the poor prognosis of DCM patients in both dominant (HR = 2.0, 95% confidence interval [CI] = 1.14-3.57, P = 0.017) and additive (HR = 1.85, 95% CI = 1.09-3.13, P = 0.02) model. The statistical significance remained after adjustment for sex, age, hypertension, diabetes, hyperlipidaemia, and smoking status. There were significant differences in left ventricular end-diastolic diameter and left ventricular ejection fraction between rs243865-CC and CT genotypes. Functional analysis indicated that rs243865-C allele increased luciferase activity and the mRNA expression level of MMP2 by facilitating ZNF354C binding.

CONCLUSIONS

Our study suggested that MMP2 gene polymorphisms were associated with DCM susceptibility and prognosis in the Chinese Han population.

Kernel machine SNP set analysis provides new insight into the association between obesity and polymorphisms located on the chromosomal 16q.12.2 region: Tehran Lipid and Glucose Study

INTRODUCTION

Obesity is a serious health problem that leads to low quality of life and early mortality. To the purpose of prevention and gene therapy for such a worldwide disease, genome wide association study is a powerful tool for finding SNPs associated with increased risk of obesity. To conduct an association analysis, kernel machine regression is a generalized regression method, has an advantage of considering the epistasis effects as well as the correlation between individuals due to unknown factors.

MATERIALS AND METHODS

In this study, information of the people who participated in Tehran cardio-metabolic genetic study was used. They were genotyped for the chromosomal region, evaluation 986 variations located at 16q12.2; build 38hg. Kernel machine regression and single SNP analysis were used to assess the association between obesity and SNPs genotyped data.

RESULTS

We found that associated SNP sets with obesity, were almost in the FTO (P = 0.01), AIKTIP (P = 0.02) and MMP2 (P = 0.02) genes. Moreover, two SNPs, i.e., rs10521296 and rs11647470, showed significant association with obesity using kernel regression (P = 0.02).

CONCLUSION

In conclusion, significant sets were randomly distributed throughout the region with more density around the FTO, AIKTIP and MMP2 genes. Furthermore, two intergenic SNPs showed significant association after using kernel machine regression. Therefore, more studies have to be conducted to assess their functionality or precise mechanism.