Association between MPO-463G > A polymorphism and chronic kidney disease: a meta-analysis

Abstract

Background/objective: Previous studies have shown that MPO -463G > A (rs2333227) might be associated with chronic kidney disease (CKD) susceptibility, but sample sizes of those studies are relatively small. Hence, we decided to perform a meta-analysis to evaluate the association.

Methods/main results: Two investigators search databases systematically and independently. Odds ratios and 95% confidence intervals were used to pool the effect size. Four articles with 618 cases and 932 controls in total were included in our meta-analysis.

Conclusions: MPO -463G > A was not associated with CKD susceptibility in recessive model and homozygote comparison. MPO -463G > A was associated with increased risk of CKD in allelic comparison, heterozygote comparison and dominant model, however, the results lacked stability. Owing to insufficient data, the association between MPO -463G > A and CKD cannot be fully confirmed.

Keywords:

• Myeloperoxidase
• single nucleotide polymorphism
• rs2333227
• chronic kidney disease
• meta-analysis

Acknowledgment

Recently, we (Jiaxuan Qin, Jinchun Xing) have published another meta-analysis paper titled ’Association between CD40 rs1883832 and immune-related diseases susceptibility: A meta-analysis’. The published paper has no relationship with this manuscript. The published paper and this manuscript used the same statistical method called ‘meta-analysis’ to study two totally different scientific questions. Owing to the strict report specification (we used PRISMA [6] in both studies) of meta-analysis and the first author's writing habits (Jiaxuan Qin), similarity could be found in several sections between the published paper and this manuscript, which needs to be acknowledged here.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by The Science Fund founded by the First Affiliated Hospital of Xiamen University for Young Scholars (Project Number: XYY2016011; Recipient: Jiaxuan Qin) and Fujian Provincial Department of Science and Technology (Project Number: 2016D009; Recipient: Jinchun Xing).