Literature DB >> 32541135

NT5C2 Gene Polymorphisms and the Risk of Coronary Heart Disease.

Xianghong Chen1, Zaozhang Zhang1, Xingfan Wang2, Yuewu Chen3, Chao Wang4.   

Abstract

BACKGROUND: Increasing studies have reported that 5'-nucleotidase cytosolic II (NT5C2) has a strong relationship with coronary heart disease (CHD) development. This study was designed to examine the relationship between NT5C2 polymorphisms and CHD in the Chinese Han population.
METHODS: We studied 501 CHD patients and 496 healthy controls from the Second Affiliated Hospital of Hainan Medical University in Hainan Province, China. Four single nucleotide polymorphisms (SNPs) in NT5C2 were selected and genotyped using Agena MassARRAY technology. Odds ratios and 95% confidence intervals were calculated using logistic regression after adjusting for age and gender. Stratification analysis was performed by age and gender in all individuals; we especially investigated the effects of NT5C2 SNPs on hypertension and diabetes among CHD patients.
RESULTS: rs2148198 of NT5C2 was strongly associated with an increased risk of CHD (allele: p = 0.045; codominant: p = 0.007; additive: p = 0.016). Stratified analysis revealed that rs2148198 was associated with increased CHD risk in individuals aged ≤61 years and males. For CHD patients, rs2148198 significantly affected the risk of hypertension and diabetes (p < 0.05). Further, rs79237883 of NT5C2 was associated with decreased susceptibility to hypertension in multiple genetic models for individuals with CHD (allele: p = 0.007; codominant: p = 0.001; dominant: p = 0.001; additive: p = 0.008).
CONCLUSION: This study reports the association of NT5C2 gene variants and CHD susceptibility in the Chinese Han population. Especially, NT5C2 rs2148198 was significantly associated with CHD risk in the subgroups of males, hypertension, and diabetes.
© 2020 S. Karger AG, Basel.

Entities:  

Keywords:  Coronary heart disease; Genetic susceptibility; NT5C2 variants; Stratification analysis

Year:  2020        PMID: 32541135     DOI: 10.1159/000507714

Source DB:  PubMed          Journal:  Public Health Genomics        ISSN: 1662-4246            Impact factor:   2.000


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