Oncotarget

Research Papers:

Association of TERT polymorphisms and risk of coronary heart disease in a Chinese Han population

Hongmei Han, Jianxia Zhang, Jianghong Hou, Haibo Wang, Jianpeng Zheng, Huan Wang, Zhong Zhong, Yijin Wang, Xiaoni Wang, Bei Yang, Lei Wang, Dangjun Quan and Junnong Li _

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Oncotarget. 2017; 8:67519-67525. https://doi.org/10.18632/oncotarget.18727

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Abstract

Hongmei Han1, Jianxia Zhang1, Jianghong Hou1, Haibo Wang1, Jianpeng Zheng1, Huan Wang1, Zhong Zhong1, Yijin Wang1, Xiaoni Wang1, Bei Yang1, Lei Wang1, Dangjun Quan1 and Junnong Li1

1Department of Cardiovascular Medicine, Weinan Central Hospital, Weinan 714000, Shaanxi, China

Correspondence to:

Junnong Li, email: drjunnongli@163.com

Keywords: coronary heart disease (CHD), TERT, telomere, single nucleotide polymorphisms (SNP), case-control study

Received: April 13, 2017     Accepted: May 11, 2017     Published: June 28, 2017

ABSTRACT

Genome-wide association studies have identified that TERT gene was associated with telomere length and age-related diseases. However, little study directly focused on the association between TERT gene polymorphisms and risk of coronary heart disease (CHD). We conducted a case-control study to examine the effect of TERT polymorphisms on CHD risk among 596 CHD patients and 603 healthy controls from China. Five significant single nucleotide polymorphisms (SNP) in TERT were selected and genotyped using Sequenom Mass-ARRAY technology. Odds ratios (OR) and 95% confidence intervals (CIs) were calculated using unconditional logistic regression adjusting for age and gender. Allelic model analysis revealed that for TERT rs10069690, allele frequency distributions differed between cases and controls (OR= 1.267, 95%CI = 1.018-1.576; p = 0.034). Genotypic model analysis revealed that genotype frequency distributions of rs10069690 differed between cases and controls after adjusted by age and sex (TC vs. CC: adjusted OR = 1.352, 95% CI = 1.007-1.815; p = 0.045). Genetic model analysis revealed that rs10069690 was associated with an increased risk of CHD under co-dominant, dominant, over-dominant and log-additive models. After adjustments, it remained significant under over-dominant model (adjusted OR = 1.35, 95% CI = 1.01-1.81; p = 0.044). Our results shed new light on the association between telomere-related gene TERT polymorphisms and CHD susceptibility in a Chinese Han population.


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