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Association of rs4552569 and rs17095830 single-nucleotide polymorphisms with susceptibility to ankylosing spondylitis in east Asian population: a meta-analysis

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Abstract

Several studies have been conducted in east Asian population to evaluate the association between rs4552569 and rs17095830 single-nucleotide polymorphisms (SNPs) with susceptibility to ankylosing spondylitis (AS), but the outcomes are inconsistent. A summary evaluation of the evidence supporting the associations has not been performed. Therefore, we performed this meta-analysis to access whether the two SNPs are related to ankylosing spondylitis. We systematically searched PubMed, EMBASE, Web of Science and Cochrane Library for papers published up until 3 February 2017, to obtain relevant studies using our research strategy. The allele/genotype frequencies were extracted from each study. We calculated the summary odds ratios (ORs) and 95% confidence intervals (CIs) to evaluate the associations between the two SNPs and AS risk. Four papers including five studies were obtained for this meta-analysis. The included studies suggested that there was no significant association between rs4552569 SNP and AS (C vs T, OR = 1.08, 95% CI: 0.96–1.22, P = 0.20). With regard to rs17095830 SNP, significant association was observed (G vs A, OR = 1.19, 95% CI: 1.06–1.33, P = 0.002). Based on a comprehensive analysis of the currently available evidence, rs4552569 SNP is not significantly associated with the predisposition of AS, while rs17095830 SNP is likely a susceptibility variant for AS in east Asian population. Further studies with different population groups are needed to confirm these potential associations.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (no. 81271347).

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Correspondence to Huang Fang.

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Corresponding editor: Shantanu Sengupta

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Gao, S., Wang, H., Zhou, C. et al. Association of rs4552569 and rs17095830 single-nucleotide polymorphisms with susceptibility to ankylosing spondylitis in east Asian population: a meta-analysis. J Genet 97, 825–833 (2018). https://doi.org/10.1007/s12041-018-0966-0

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  • DOI: https://doi.org/10.1007/s12041-018-0966-0

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