Oncotarget

Research Papers:

Association of TERT polymorphisms with chronic hepatitis B in a Chinese Han population

Guoxia Ren _, Xu Liu, Zhendong Yu, Jingjie Li, Fanglin Niu, Tianbo Jin, Jikui Liu and Mingwei Chen

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Oncotarget. 2018; 9:9199-9205. https://doi.org/10.18632/oncotarget.23905

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Abstract

Guoxia Ren1,2,*, Xu Liu3,*, Zhendong Yu4, Jingjie Li5, Fanglin Niu5, Tianbo Jin5, Jikui Liu3 and Mingwei Chen1

1Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of School of Medicine of Xi’an Jiaotong University, Xi’an 710061, China

2Department of Intergrated Traditional Chinese and Western Medicine, Xi’an Chest Hospital, Xi’an 710100, China

3Hepato-Pancreato-Biliary Surgery, Peking University Shenzhen Hospital, Guangdong, Shenzhen 518036, China

4Central Laboratory, Peking University Shenzhen Hospital, Guangdong, Shenzhen 518036, China

5Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi’an, Shaanxi 710069, China

*These authors contributed equally to this work and Joint first author

Correspondence to:

Jikui Liu, email: [email protected]

Mingwei Chen, email: [email protected]

Keywords: chronic hepatitis B; TERT; single nucleotide polymorphisms (SNPs); case-control; Chinese Han

Received: September 05, 2017     Accepted: December 26, 2017     Published: January 03, 2018

ABSTRACT

In this study, we investigated the association between the polymorphisms of telomerase reverse transcriptase (TERT) gene and the risk of chronic hepatitis B (CHB) in a Chinese Han population. Four single nucleotide polymorphisms (SNPs) in TERT (rs10069690, rs2242652, rs2853677 and rs2853676) were genotyped from 224 CHB patients and 300 healthy controls using the Sequenom Mass-ARRAY platform. We used genetic model, haplotype analyses, chi-square test, logistic regression analysis to evaluate the association between SNPs and CHB risk. The relative risk was estimated by odd ratios (ORs) and 95% confidence intervals (CIs). We found that rs10069690 was significantly associated with an increased CHB risk in the dominant model (adjusted OR = 1.70, 95% CI: 1.06–2.71, P = 0.031) and additive model (adjusted OR = 1.62, 95% CI: 1.09–2.41, P = 0.018). The haplotype “TA” (rs10069690 and rs2242652) was found to be associated with an increased risk of CHB (adjusted OR = 1.58, 95% CI: 1.05–2.38, P = 0.027). Our results suggested potential genetic contributes for TERT in CHB development in a Chinese Han population. Future functional and association studies with larger sample sizes are required to confirm these findings.


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