Literature DB >> 25068828

Association of uteroglobin G38A gene polymorphism with IgA nephropathy risk: an updated meta-analysis.

Danhua Lin1, Shuguang Li, Haishan Xu, Hong Chen, Zhiyong Dong.   

Abstract

Association of uteroglobin G38A gene polymorphism and IgA nephropathy (IgAN) risk is still not clear. This investigation was conducted to assess if there was an association between the uteroglobin G38A gene polymorphism and IgAN risk using meta-analysis. The relevant literatures were identified from PubMed, and Cochrane Library on 10 October 2013, and eligible studies were included and synthesized. Seven reports were recruited into this meta-analysis for the association of the uteroglobin G38A gene polymorphism with IgAN risk. In overall population, the A allele and AA genotype were not associated with IgAN risk. Furthermore, the GG genotype was also not associated with IgAN risk in overall population. Interestingly, the association of uteroglobin G38A gene polymorphism with IgAN risk was also not found in Asians and in Caucasians. In the sensitivity analysis, according to Hardy-Weinberg equilibrium test, according to the control source from healthy, the genotyping methods using PCR-RFLP, PCR-SSCP, no association of the uteroglobin G38A gene polymorphism with IgAN risk was found and the results were similar to those in non-sensitivity analysis. In conclusion, the uteroglobin G38A gene polymorphism was not associated with IgAN risk. However, additional studies are required to firmly establish a correlation between the uteroglobin G38A gene polymorphism and IgAN risk.

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Keywords:  G38A; IgA nephropathy; gene polymorphism; meta-analysis; uteroglobin

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Year:  2014        PMID: 25068828     DOI: 10.3109/10799893.2014.936460

Source DB:  PubMed          Journal:  J Recept Signal Transduct Res        ISSN: 1079-9893            Impact factor:   2.092


  1 in total

1.  CMIP SNPs and their haplotypes are associated with dyslipidaemia and clinicopathologic features of IgA nephropathy.

Authors:  Ling Pan; Yun-Hua Liao; Man-Qiu Mo; Qing-Hui Zhang; Rui-Xing Yin
Journal:  Biosci Rep       Date:  2020-10-30       Impact factor: 3.840

  1 in total

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