Literature DB >> 26865047

Association of adiponectin gene polymorphisms and additional gene-gene interaction with nonalcoholic fatty liver disease in the Chinese Han population.

Zhang Wei1, Zhu Li-Qun2, Huo Xiao-Ling3, Qin Jian3, Yuan Guo-Yue4.   

Abstract

PURPOSE: To investigate the association between the single nucleotide polymorphisms (SNPs) of the adiponectin gene and nonalcoholic fatty liver disease (NAFLD) as well as the impact of the interaction of multiple SNPs on NAFLD risk, based on a Chinese population study.
METHODS: A total of 612 subjects (411 male, 201 female) were selected, including 302 NAFLD patients and 310 controls. Three SNPs were selected for genotyping in the case-control study: rs266729, rs822393, and rs1501299. A logistic regression model was used to examine the interaction between the SNPs and NAFLD. The odds ratio (OR) and 95 % confidence interval (95 % CI) were calculated. Generalized multifactor dimensionality reduction (GMDR) was employed to analyze the interaction among SNPs.
RESULTS: Logistic analysis showed a significant association between genotypes of variants in rs266729 and rs822393 and increased NAFLD risk. The carriers of the homozygous mutant of two SNP polymorphisms revealed increased NAFLD risk compared to those with wild-type homozygotes; ORs (95 % CI) were 1.31 (1.14-1.81) (p = 0.001) and 1.18 (1.05-1.71) (p = 0.005), respectively. There was a significant two-locus model (p = 0.0010) involving rs266729 and rs822393, indicating a potential gene-gene interaction between rs266729 and rs822393. Overall, the two-locus models had a cross-validation consistency of 10 and testing accuracy of 62.17 %. Subjects with the CG or GG and CT or TT genotype have the highest NAFLD risk compared to subjects with the CC-CC genotype; the OR (95 % CI) was 2.52 (1.31-3.82), p < 0.001, after covariate adjustment.
CONCLUSIONS: Our results support an important association of the rs266729 (-11377 G/C) and rs822393 (-4522 C/T) polymorphism with increased risk of NAFLD. The interaction analysis showed a combined effect of rs266729 and rs822393 on NAFLD.

Entities:  

Keywords:  Adiponectin; Interaction; NAFLD; Polymorphism

Mesh:

Substances:

Year:  2016        PMID: 26865047     DOI: 10.1007/s12072-015-9687-0

Source DB:  PubMed          Journal:  Hepatol Int        ISSN: 1936-0533            Impact factor:   6.047


  30 in total

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2.  Association of adiponectin gene functional polymorphisms (-11377C/G and +45T/G) with nonalcoholic fatty liver disease.

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4.  Genetic association of ADIPOQ gene variants with type 2 diabetes, obesity and serum adiponectin levels in south Indian population.

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5.  Sources of fatty acids stored in liver and secreted via lipoproteins in patients with nonalcoholic fatty liver disease.

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Review 7.  Review: The role of insulin resistance in nonalcoholic fatty liver disease.

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9.  Decreased serum adiponectin: an early event in pediatric nonalcoholic fatty liver disease.

Authors:  Miriam Vos Louthan; Shirish Barve; Craig J McClain; Swati Joshi-Barve
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10.  APM1 gene variants -11377C/G and 4545G/C are associated respectively with obesity and with non-obesity in Chinese type 2 diabetes.

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  3 in total

1.  Correlation Between Adiponectin Gene rs1501299 Polymorphism and Nonalcoholic Fatty Liver Disease Susceptibility: A Systematic Review and Meta-Analysis.

Authors:  Jiaxing Liu; Jicheng Xing; Bing Wang; Changyong Wei; Ruining Yang; Yuerong Zhu; Hong Qiu
Journal:  Med Sci Monit       Date:  2019-02-08

2.  Association between ADIPOQ G276T and C11377G polymorphisms and the risk of non-alcoholic fatty liver disease: An updated meta-analysis.

Authors:  Mengwei Liu; Shan Liu; Mengke Shang; Xiuping Liu; Yue Wang; Qian Li; Michael Mambiya; Luping Yang; Qian Zhang; Kaili Zhang; Fangfang Nie; Fanxin Zeng; Wanyang Liu
Journal:  Mol Genet Genomic Med       Date:  2019-03-05       Impact factor: 2.183

3.  Correlation of Adiponectin Gene Polymorphisms rs266729 and rs3774261 With Risk of Nonalcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis.

Authors:  Yong-Tian Zheng; Tian-Mei Xiao; Chan-Xian Wu; Jin-Yan Cheng; Le-Yu Li
Journal:  Front Endocrinol (Lausanne)       Date:  2022-03-23       Impact factor: 5.555

  3 in total

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