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Association of Genetic Variants in the Adiponectin Gene with Metabolic Syndrome: A Case-Control Study and a Systematic Meta-Analysis in the Chinese Population

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  • Meng Gao
  • Daxia Ding
  • Jinghua Huang
  • Yali Qu
  • Yu Wang
  • Qingyang Huang

Abstract

Background: The prevalence of metabolic syndrome has been rising worldwide, including in China, but knowledge on specific genetic determinants of metabolic syndrome is very limited. A number of studies have reported that polymorphisms in the ADIPOQ gene are associated with metabolic syndrome in Chinese Han populations. However, data is still conflicting. The objective of this study was to examine the associations of the adiponectin genetic variants with metabolic syndrome by a case-control study and meta-analyses in Chinese. Methods: We first investigated the association of ADIPOQ rs2241766 (+45T>G in exon 2), rs266729 (−11377C>G in promoter) and rs1501299 (+276G>T in intron 2) polymorphisms with metabolic syndrome in a Hubei Han Chinese population with 322 metabolic syndrome patients and 161 normal controls recruited from the Yichang, Hubei. Then we comprehensively reviewed the association between ADIPOQ rs2241766/rs266729/rs1501299 and metabolic syndrome in the Chinese populations via a meta-analysis. The strength of association was assessed by odds ratios (ORs) with 95% confidence intervals (CI). Results: The G allele frequency of rs2241766 in metabolic syndrome patients was significantly higher than those of controls group (29.8% vs 23.3%, OR = 1.40, P = 0.033). The logistic regression analysis adjusted by gender and age showed a nominally significant association for rs2241766 GG+GT genotype (P = 0.065, OR = 1.55) and rs1501299 GG genotype in recessive model (OR = 1.54, P = 0.066). However, no association was observed for rs266729 in our sample. We identified thirteen studies for rs2241766 (2,684 metabolic syndrome patients and 2,864 controls), three studies for rs266729, and eleven studies for rs1501299 (2,889 metabolic syndrome patients and 3,304 controls) in Chinese. Meta-analysis indicated significant associations for the rs2241766 G allele (OR = 1.14, 95%CI = 1.05–1.24, P = 0.003), rs266729 GG+GT genotypes (OR = 0.80, 95%CI = 0.68–0.92, P = 0.003) and rs1501299 GG+TG genotypes (OR = 1.42, 95%CI 1.16–1.75, P = 0.001). Conclusions: Our results demonstrated ADIPOQ as a pleiotropic locus for metabolic syndrome and its components in the Han Chinese population.

Suggested Citation

  • Meng Gao & Daxia Ding & Jinghua Huang & Yali Qu & Yu Wang & Qingyang Huang, 2013. "Association of Genetic Variants in the Adiponectin Gene with Metabolic Syndrome: A Case-Control Study and a Systematic Meta-Analysis in the Chinese Population," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-10, April.
  • Handle: RePEc:plo:pone00:0058412
    DOI: 10.1371/journal.pone.0058412
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    References listed on IDEAS

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    1. Yiping Li & Xianli Li & Li Shi & Man Yang & Ying Yang & Wenyu Tao & Lei Shi & Yuxin Xiong & Ying Zhang & Yufeng Yao, 2011. "Association of Adiponectin SNP+45 and SNP+276 with Type 2 Diabetes in Han Chinese Populations: A Meta-Analysis of 26 Case-Control Studies," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-7, May.
    2. Zari Dastani & Marie-France Hivert & Nicholas Timpson & John R B Perry & Xin Yuan & Robert A Scott & Peter Henneman & Iris M Heid & Jorge R Kizer & Leo-Pekka Lyytikäinen & Christian Fuchsberger & Tosh, 2012. "Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals," PLOS Genetics, Public Library of Science, vol. 8(3), pages 1-23, March.
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    1. Jingjing Wu & Zheng Liu & Kai Meng & Ling Zhang, 2014. "Association of Adiponectin Gene (ADIPOQ) rs2241766 Polymorphism with Obesity in Adults: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-9, April.

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