Alzheimer’s (1.2X) and Parkenson’s (1.3X) more likely if poor Vitamin D Receptor – meta-analysis March 2019

A systematic review and meta-analysis of the associations of vitamin D receptor genetic variants with two types of most common neurodegenerative disorders.

Aging Clin Exp Res. 2019 Mar 12. doi: 10.1007/s40520-019-01135-4.
Geng J1, Zhang J1, Yao F2, Liu X2, Liu J3, Huang Y4.
1 Department of Neurology, Baoji Municipal Center Hospital, Baoji, 721008, China.
2 Department of Spinal Surgery, Baoji Municipal Center Hospital, Baoji, 721008, China.
3 Department of Spinal Surgery, Hong Hui Hospital, Xi'an Jiaotong University College of Medicine, Xi'an, 710054, China. liujijunpd@yeah.net.
4 Department of Spinal Surgery, Hong Hui Hospital, Xi'an Jiaotong University College of Medicine, Xi'an, 710054, China. huangyuanchi869@163.com.

VitaminDWiki

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BACKGROUND: Whether vitamin D receptor (VDR) genetic variants influence individual susceptibility to neurodegenerative disorders remains controversial.

AIMS: This meta-analysis was conducted to analyze correlations of VDR genetic variants with two types of most common neurodegenerative disorders, Parkinson's disease (PD) and Alzheimer's disease (AD).

METHODS:
Systematic literature research of PubMed and Embase was performed to identify eligible articles. Q test and I2 statistic were employed to decide whether pooled analyses would be performed with random-effect models (REMs) or fixed-effect models (FEMs). All statistical analyses were conducted with Review Manager.

RESULTS:
Totally sixteen studies were enrolled for analyses. Among these eligible studies, ten studies were about PD (2356 cases and 2815 controls) and six studies were about AD (1256 cases and 1205 controls). Pooled overall analyses suggested that VDR rs7975232 (additive model: p = 0.03, OR = 1.19, 95% CI 1.01-1.39) and rs2228570 (recessive model: p < 0.008, OR = 1.26, 95% CI 1.06-1.50; allele model: p < 0.001, OR = 0.80, 95% CI 0.71-0.91) variants were significantly correlated with PD, and VDR rs731236 (dominant model: p = 0.003, OR = 0.70, 95% CI 0.56-0.89; additive model: p = 0.02, OR = 1.32, 95% CI 1.06-1.66; allele model: p = 0.02, OR = 0.82, 95% CI 0.69-0.96) variant was significantly correlated with AD. Further subgroup analyses by ethnicity revealed that the positive results were mainly driven by the Asians, whereas no significant associations were observed in Caucasians.

CONCLUSION:
Our meta-analysis suggested that VDR rs7975232 and rs2228570 variants might serve as genetic biomarkers of PD, whereas VDR rs731236 variant might serve as a genetic biomarker of AD.

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