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Association between miRNA-196a2 rs11614913 T>C polymorphism and Kawasaki disease susceptibility in southern Chinese children.


ABSTRACT: BACKGROUND:miRNAs play important roles in a variety of diseases. Thus, the association between miRNA-196a2 rs11614913 T>C polymorphism and Kawasaki disease susceptibility is still unknown. METHODS:We included 532 children with Kawasaki disease and 623 healthy children from South China, and their DNA was extracted for genotyping by TaqMan methodology. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to estimate the strength of association. RESULTS:No significant associations were observed between the miRNA-196a2 rs11614913 T>C polymorphisms and Kawasaki disease risk (TC vs TT: adjusted OR = 1.04, 95% CI = 0.79-1.37; CC vs TT: adjusted OR = 0.87, 95% CI = 0.63-1.21; dominant model: adjusted OR = 0.99, 95% CI = 0.76-1.27; and recessive model: adjusted OR = 0.85, 95% CI = 0.64-1.13). There was also no significant correlation found in stratified analyses. CONCLUSION:This study suggests that miRNA-196a2 rs11614913 T>C may not be associated with Kawasaki disease susceptibility in a southern Chinese population. Larger, multicenter studies are needed to confirm our conclusions.

SUBMITTER: Wang J 

PROVIDER: S-EPMC6757130 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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Association between miRNA-196a2 rs11614913 T>C polymorphism and Kawasaki disease susceptibility in southern Chinese children.

Wang Jinxin J   Li Jiawen J   Qiu Huixian H   Zeng Lanlan L   Zheng Hao H   Rong Xing X   Jiang Zhiyong Z   Gu Xueping X   Gu Xiaoqiong X   Chu Maoping M  

Journal of clinical laboratory analysis 20190526 7


<h4>Background</h4>miRNAs play important roles in a variety of diseases. Thus, the association between miRNA-196a2 rs11614913 T>C polymorphism and Kawasaki disease susceptibility is still unknown.<h4>Methods</h4>We included 532 children with Kawasaki disease and 623 healthy children from South China, and their DNA was extracted for genotyping by TaqMan methodology. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to estimate the strength of association.<h4>Results</h4>No sign  ...[more]

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