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An updated analysis with 45,078 subjects confirms the association between SNCA rs11931074 and Parkinson’s disease

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Title
An updated analysis with 45,078 subjects confirms the association between SNCA rs11931074 and Parkinson’s disease
Published in
Neurological Sciences, August 2018
DOI 10.1007/s10072-018-3538-4
Pubmed ID
Authors

Xu Liu, Ruixia Zhu, Tongling Xiao, Qu Li, Ying Zhu, Zhiyi He

Abstract

Large-scale genome-wide association study (GWAS) has identified that the alpha-synuclein (SNCA) rs11931074 polymorphism is associated with Parkinson's disease (PD) susceptibility in individuals of Japanese descent. Subsequently, a number of replication studies have been performed in Asian and Caucasian populations. However, the results remain controversial due to the relatively small sample sizes and genetic heterogeneity. Here, to overcome the limitations of individual studies, we reevaluated this association with data from 33 independent studies involving 15,368 patients and 29,710 control samples identified by searching PubMed and EMBase databases. Odds ratios (OR) with 95% confidence interval (CI) were applied to assess the association between SNCA rs11931074 polymorphism and PD. Heterogeneity, sensitivity analysis, and publication bias were conducted to measure the robustness of our findings. Using allele, recessive, dominant, and additive models, we did not reveal significant heterogeneity among 33 studies. Significant association of the SNCA rs11931074 polymorphism with PD was observed (T vs. G: OR = 1.36, 95% CI = 1.31-1.42; TT vs. TG + GG: OR = 1.58, 95% CI = 1.46-1.72; TT + TG vs. GG: OR = 1.44, 95% CI = 1.35-1.55; TT vs. GG: OR = 1.87, 95% CI = 1.68-2.09) in the pooled populations. Furthermore, subgroup analyses accounting for ethnicity found similar significant results in both Asian and Caucasian populations. In conclusion, our meta-analysis further indicates that the SNCA rs11931074 polymorphism contributes to PD susceptibility. We believe that our findings will be very useful for future genetic studies on PD.

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Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 23%
Student > Ph. D. Student 2 15%
Student > Bachelor 2 15%
Researcher 1 8%
Unknown 5 38%
Readers by discipline Count As %
Medicine and Dentistry 4 31%
Neuroscience 3 23%
Computer Science 1 8%
Unknown 5 38%