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The association of SCGB3A2 polymorphisms with the risk of Graves’ disease: a meta-analysis

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Abstract

The aim of this study is to assess the association of the SCGB3A2 −112G>A promoter polymorphism with Graves’ disease(GD) using a meta-analysis. Relevant studies were identified using PubMed and EMBASE electronic databases. A meta-analysis of relevant studies was performed. This meta-analysis included four case–control studies, containing 6,913 GD cases (Caucasian 3904, Han 3009) and 7,185 controls(Caucasian 4155, Han 3030). The combined results showed a significant difference in genotype distribution (−112A/G) between GD and control populations (A vs. G P = 1.53 × 10−7; GG vs. AA+AG P = 6.78 × 10−9). Meta-analysis was performed using a fixed-effects model. Under the dominant model (GG/AA + GA), the AA and GA genotypes were significantly associated with GD (pooled OR = 1.24, 95 % CI 1.12–1.37). When the two European studies are combined, the AA and GA genotypes were also significantly associated with GD (pooled OR = 1.29, 95 % CI 1.20–1.39). This meta-analysis suggests that SCGB3A2 polymorphism at positions −112G>A was associated with GD both in Chinese and Caucasian population.

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Acknowledgments

This work was supported by the grant from National Natural Science Foundation of China (81200416), Shanghai Municipal Health Bureau (20124262), Shanghai Science and Technology Committee (10JC1410400), Program for Graves’ Disease Innovative Research Team of Shanghai Municipal Education Commission and Shanghai Ninth People's Hospital (JY2011A13).

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Authors and Affiliations

  1. State Key Laboratory of Medical Genomics, Molecular Medical Centre, Shanghai Institute of Endocrinology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

    Liqiong Xue, Bing Han, Chunming Pan & Huaidong Song

  2. Department of Endocrinology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

    Bing Han

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  1. Liqiong Xue
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  2. Bing Han
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  4. Huaidong Song
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Correspondence to Huaidong Song.

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Liqiong Xue and Bing Han contributed equally to this work.

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Xue, L., Han, B., Pan, C. et al. The association of SCGB3A2 polymorphisms with the risk of Graves’ disease: a meta-analysis. Endocrine 45, 365–369 (2014). https://doi.org/10.1007/s12020-013-0021-0

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