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


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.

SUBMITTER: Ren G 

PROVIDER: S-EPMC5823638 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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Association of <i>TERT</i> polymorphisms with chronic hepatitis B in a Chinese Han population.

Ren Guoxia G   Liu Xu X   Yu Zhendong Z   Li Jingjie J   Niu Fanglin F   Jin Tianbo T   Liu Jikui J   Chen Mingwei M  

Oncotarget 20180103 10


In this study, we investigated the association between the polymorphisms of telomerase reverse transcriptase (<i>TERT</i>) gene and the risk of chronic hepatitis B (CHB) in a Chinese Han population. Four single nucleotide polymorphisms (SNPs) in <i>TERT</i> (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  ...[more]

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