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Obstructive Sleep Apnea Susceptibility Genes in Chinese Population: A Field Synopsis and Meta-Analysis of Genetic Association Studies

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  • Jinxian Sun
  • Jianrong Hu
  • Chunlin Tu
  • Anyuan Zhong
  • Huajun Xu

Abstract

Background: Epidemiological studies to date have evaluated the association between genetic variants and the susceptibility to obstructive sleep apnea (OSA). However, the results of these studies have been inconclusive. In this current study we performed meta-analysis of genetic association studies (GAS) to pool OSA-susceptible genes in Chinese population, to perform a more precise evaluation of the association. Methods: Various databases (i.e., PubMed, EMBASE, HuGE Navigator, Wanfang and CNKI) were searched to identify all eligible GAS-related variants associated with susceptibility to OSA. The generalized odds ratio metric (ORG) and the odds ratio (OR) of the allele contrast were used to quantify the impact of genetic variants on the risk of OSA. Cumulative and recursive cumulative meta-analyses (CMA) were also performed to investigate the trend and stability of effect sizes as evidence was accumulated. Results: Thirty-two GAS evaluating 13 polymorphisms in 10 genes were included in our meta-analysis. Significant associations were derived for four polymorphisms either for the allele contrast or for the ORG. The variants TNF-α-308G/A, 5-HTTLPR, 5-HTTVNTR, and APOE showed marginal significance for ORG (95% confidence interval [CI]): 2.01(1.31–3.07); 1.31(1.09–1.58); 1.85(1.16–2.95); 1.79(1.10–2.92); and 1.79(1.10–2.92) respectively. In addition, the TNF-α-308G/A, 5-HTTLPR, and 5-HTTVNTR variants showed significance for the allele contrast: 2.15(1.39–3.31); 2.26(1.58–3.24); 1.32(1.12–1.55); and 1.86(1.12–3.08) respectively. CMA showed a trend towards an association, and recursive CMA indicated that more evidence was needed to determine whether this was significant. Conclusions: TNF-α, 5-HTT, and APOE genes can all be proposed as OSA-susceptibility genes in Chinese population. Genome-wide association studies (GWAS) are therefore urgently needed to confirm our findings within a larger sample of OSA patients in China.

Suggested Citation

  • Jinxian Sun & Jianrong Hu & Chunlin Tu & Anyuan Zhong & Huajun Xu, 2015. "Obstructive Sleep Apnea Susceptibility Genes in Chinese Population: A Field Synopsis and Meta-Analysis of Genetic Association Studies," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-13, August.
    • Handle: RePEc:plo:pone00:0135942
    DOI: 10.1371/journal.pone.0135942
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    References listed on IDEAS

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    1. Huajun Xu & Jian Guan & Hongliang Yi & Shankai Yin, 2014. "A Systematic Review and Meta-Analysis of the Association between Serotonergic Gene Polymorphisms and Obstructive Sleep Apnea Syndrome," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-8, January.
    2. Zintzaras Elias, 2010. "The Generalized Odds Ratio as a Measure of Genetic Risk Effect in the Analysis and Meta-Analysis of Association Studies," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 9(1), pages 1-14, May.
    3. Anyuan Zhong & Xiaolu Xiong & Huajun Xu & Minhua Shi, 2014. "An Updated Meta-Analysis of the Association between Tumor Necrosis Factor-α -308G/A Polymorphism and Obstructive Sleep Apnea-Hypopnea Syndrome," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-6, September.
    4. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    5. Baodong Qin & Zhen Sun & Yan Liang & Zaixing Yang & Renqian Zhong, 2014. "The Association of 5-HT2A, 5-HTT, and LEPR Polymorphisms with Obstructive Sleep Apnea Syndrome: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-9, April.
    6. Zintzaras Elias & Santos Mauro, 2012. "Performance of MAX Test and Degree of Dominance Index in Predicting the Mode of Inheritance," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(4), pages 1-17, June.
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