Related Experiment Video
Updated: Feb 23, 2026

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
Published on: May 2, 2025
Vitamin D receptor gene polymorphisms in association with diabetic nephropathy: a systematic review and meta-analysis
Lina Yang1,2, Lan Wu1, Yi Fan2
1Department of Geriatrics, the First Affiliated Hospital of China Medical University, 155th Nanjing North Street, Shenyang, Liaoning, 110001, People's Republic of China.
Background:
A large amount of researches have demonstrated that vitamin D receptor (VDR) gene polymorphisms are associated with diabetic nephropathy (DN) risk in diabetes mellitus (DM) patients. Nevertheless, the results are inconclusive and inconsistent.
Methods:
We screened PubMed, Embase, Chinese National Knowledge Infrastructure and Chinese Wanfang databases for those relevant studies updated in May 2016.
Results:
7 studies involving 2564 subjects were recruited. We evaluated the genotypic and allelic differences between DN patients and DM controls. Overall analysis showed that no significant association was found among the ApaI, BsmI, FokI,TaqI gene polymorphisms and DN susceptibility in diabetic patients (all P values > 0.05). In the stratified analysis, TT genotype was related to DN susceptibility in Asians (TT vs Tt + tt: OR =2.21, 95% CI: 1.05-4.67, p = 0.04). The sensitivity analysis showed that the results in overall populations, Caucasians and Asians were dependable.
Conclusions:
No significant association was found among the ApaI, BsmI, FokI, TaqI polymorphisms and DN risk in overall populations, the TaqI variants might related to DN susceptibility in Asians. Further researches are required to testify our meta-analysis.
Insights
Vitamin D receptor (VDR) gene polymorphisms show no consistent link to diabetic nephropathy (DN) risk in diabetes mellitus (DM) patients. However, TaqI variants may increase DN susceptibility in Asian populations.
Area of Science:
- Genetics
- Endocrinology
- Nephrology
Background:
- Vitamin D receptor (VDR) gene polymorphisms are investigated for their association with diabetic nephropathy (DN) risk in diabetes mellitus (DM) patients.
- Existing research presents inconclusive and inconsistent findings regarding this association.
Purpose of the Study:
- To conduct a meta-analysis evaluating the association between VDR gene polymorphisms (ApaI, BsmI, FokI, TaqI) and DN risk.
- To clarify the inconsistent results from previous studies.
Main Methods:
- A systematic literature search was performed across PubMed, Embase, Chinese National Knowledge Infrastructure, and Chinese Wanfang databases up to May 2016.
- Seven studies with 2564 participants were included to analyze genotypic and allelic differences between DN patients and DM controls.
Main Results:
- Overall analysis revealed no significant association between ApaI, BsmI, FokI, and TaqI VDR gene polymorphisms and DN susceptibility in diabetic patients (all P > 0.05).
- Stratified analysis indicated that the TT genotype of TaqI variants was associated with increased DN susceptibility in Asian individuals (OR = 2.21, P = 0.04).
- Sensitivity analyses confirmed the reliability of the results across overall populations, Caucasians, and Asians.
Conclusions:
- No significant association was found between ApaI, BsmI, FokI, and TaqI polymorphisms and DN risk in the general population.
- TaqI gene variants may be associated with DN susceptibility specifically in Asian populations.
- Further research is warranted to validate these findings from the meta-analysis.
More Related Videos
Related Concept Videos
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu
Pharmacogenetics of Drug Targets: β₂-Adrenergic Receptors, Apo E, Thymidylate Synthase
Pharmacogenetics of Drug Metabolism: Overview
Connective Tissue Cell Types
Fat cells (adipocytes), smooth muscle cells (myoblasts), and bone cells (osteoblasts) are some connective tissue cell types. Some immune system cells...
Single Nucleotide Polymorphisms-SNPs
Pharmacogenomics: Identification of New Drug Targets

