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. 2019 Jul 23;2(3):174-183.
doi: 10.1002/agm2.12075. eCollection 2019 Sep.

Glutamate ionotropic receptor NMDA type subunit 2A (GRIN2A) gene polymorphism (rs4998386) and Parkinson's disease susceptibility: A meta-analysis

Affiliations

Glutamate ionotropic receptor NMDA type subunit 2A (GRIN2A) gene polymorphism (rs4998386) and Parkinson's disease susceptibility: A meta-analysis

Gaurav Nepal et al. Aging Med (Milton). .

Abstract

Objective: Dopaminergic neuronal degeneration seen in Parkinson's disease (PD) might result from a single nucleotide polymorphism (SNP) in the glutamate ionotropic receptor NMDA type subunit 2A (GRIN2A) gene. We thus performed a meta-analysis exploring the relationship between the rs4998386 SNP of the GRIN2A gene and PD susceptibility.

Methods: We searched PubMed, EMBASE, Web of Science, Google Scholar, and China National Knowledge Infrastructure for studies published between January 2005 and January 2019. The association between the rs4998386 polymorphism and PD susceptibility was evaluated by calculating the pooled odds ratios (ORs) and 95% confidence intervals (CIs).

Results: Meta-analysis results did not show a significant association between the rs4998386 polymorphism of the GRIN2A gene and PD susceptibility when assuming an allelic model (OR, 0.90; 95% CI, 0.76-1.07; P = .22; I 2 = 53%), a dominant model (OR, 0.96; 95% CI, 0.82-1.12; P = .62; I 2 = 64%), or a recessive model (OR, 1.14; 95% CI, 0.93-1.38; P = .22; I 2 = 0%).

Conclusion: Our meta-analysis found that the rs4998386 polymorphism of the GRIN2A gene is not associated with risk of PD in either Europeans or white Americans. However, large sample studies with different ethnicities should be conducted to establish the role of the rs4998386 polymorphism in PD pathophysiology.

Keywords: Excitotoxicity; NMDA receptor; Neurodegeneration; Parkinson's disease; glutamate ionotropic receptor NMDA type subunit 2A; rs4998386 polymorphism.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Flow of systematic literature search and selection
Figure 2
Figure 2
Forest plot of the results for allelic model. CI, confidence interval; CPSIIN, Cancer Prevention Study II Nutrition Survey; HIHG, Hussman Institute for Human Genomics; HPFS, Health Professionals Follow‐up Study; NGRC, NeuroGenetics Research Consortium; NHS, Nurses’ Health Study; PAGE, Parkinson's, Genes, and Environment from the prospective NIHAARP Diet and Health Study; PEG, Parkinson, Environment and Gene
Figure 3
Figure 3
Forest plot of the results for recessive model. CI, confidence interval; CPSIIN, Cancer Prevention Study II Nutrition Survey; HIHG, Hussman Institute for Human Genomics; HPFS, Health Professionals Follow‐up Study; NGRC, NeuroGenetics Research Consortium; NHS, Nurses’ Health Study; PAGE, Parkinson's, Genes, and Environment from the prospective NIHAARP Diet and Health Study; PEG, Parkinson, Environment and Gene
Figure 4
Figure 4
Forest plot of the results for dominant model. CI, confidence interval; CPSIIN, Cancer Prevention Study II Nutrition Survey; HIHG, Hussman Institute for Human Genomics; HPFS, Health Professionals Follow‐up Study; NGRC, NeuroGenetics Research Consortium; NHS, Nurses’ Health Study; PAGE, Parkinson's, Genes, and Environment from the prospective NIHAARP Diet and Health Study; PEG, Parkinson, Environment and Gene
Figure 5
Figure 5
Funnel plot for detection of publication bias in allelic model
Figure 6
Figure 6
Funnel plot for detection of publication bias in recessive model
Figure 7
Figure 7
Funnel plot for detection of publication bias in dominant model

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