Journal Article Meta-Analysis Review Epublish 14 citations
PubMed: 32685557 DOI: 10.1155/2020/5158497
rs2241766 Gene Polymorphism and Predisposition to Diabetic Kidney Disease.
J Diabetes Res 2020:5158497
Authors: Qiuxia Han, Wenjia Geng, Dong Zhang, Guangyan Cai, Hanyu Zhu
Affiliations
- School of Medicine, Nankai University, Department of Nephrology, The First Medical Centre, Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center of Kidney Diseases, China.
- Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, Nephrology Institute of Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou, University of Chinese Medicine, China.
- Department of Nephrology, The First Medical Centre, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center of Kidney Diseases, Beijing Key Laboratory of Kidney Disease, China.
Abstract
BACKGROUND
This meta-analysis was performed to obtain a more comprehensive estimation of the role of the single nucleotide polymorphism (SNP) rs2241766 in the gene in the occurrence of diabetic kidney disease (DKD).
METHODS
Relevant studies were identified from digital databases such as Embase, PubMed, Medline, Cochrane Library, Google Scholar, WanFang, and Chinese National Knowledge Infrastructure (CNKI). Odds ratios (ORs) with their corresponding 95% confidence intervals (95% CIs) were pooled by means of fixed- or random-effects models. Interstudy heterogeneity was examined using the Q test and statistic, and sensitivity analysis was implemented to test the statistical stability of the overall estimates. Begg's funnel plot and Egger's test were applied to inspect potential publication bias among the included studies.
RESULTS
The overall ORs reflected a positive correlation between the rs2241766 polymorphism and susceptibility to DKD in the GG vs. TT and GG vs. TT+TG comparisons (OR = 1.51, 95%CI = 1.16 - 1.95; OR = 1.43, 95%CI = 1.11 - 1.85). After stratification analyses by ethnicity and disease type, a similar trend was also revealed in the Caucasian and African subgroups as well as in the type 2 diabetes mellitus (T2DM) subgroup.
CONCLUSION
The rs2241766 polymorphism may be associated with an increased risk of DKD, especially in Caucasian and African populations as well as in T2DM patients.
MeSH
Diabetes Mellitus, Kidney Diseases, Genes, Diabetic Nephropathies, Kidney, Polymorphism, Genetic, Diabetes Mellitus, Type 2
Cited by
- Urinary sediment microRNAs can be used as potential noninvasive biomarkers for diagnosis, reflecting the severity and prognosis of diabetic nephropathy. Nutr Diabetes, 2021
- Correlations between the long noncoding RNA MEG3 and clinical characteristics for diabetic kidney disease in type 2 diabetes mellitus. Diabetol Metab Syndr, 2024
- Association of vitamin D receptor gene rs739837 polymorphism with type 2 diabetes and gestational diabetes mellitus susceptibility: a systematic review and meta-analysis. Eur J Med Res, 2022
- Susceptibility of and Genetic Polymorphisms to Diabetic Kidney Disease Among Chinese Diabetic Patients. Front Med (Lausanne), 2021
- Salivary Glycopatterns as Potential Non-Invasive Biomarkers for Diagnosing and Reflecting Severity and Prognosis of Diabetic Nephropathy. Front Endocrinol (Lausanne), 2022
- Genetic association study of gene variants with chronic kidney disease susceptibility in the Chinese population. Ren Fail, 2024
- Case-control study combined with machine learning techniques to identify key genetic variations in GSK3B that affect susceptibility to diabetic kidney diseases. BMC Endocr Disord, 2025
- The Association between ADIPOQ Gene Polymorphisms and Diabetic Retinopathy Risk: A Systematic Review and Meta-Analysis. Medicina (Kaunas), 2024