SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2018
An updated analysis with 45,078 subjects confirms the association between SNCA rs11931074 and Parkinson's disease.
Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Association between alpha-synuclein (SNCA) rs11931074 variability and susceptibility to Parkinson's disease: an updated meta-analysis of 41,811 patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020Pooled it
Corrections and comments
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Authors and funding
6 authors.
Funding
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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Registered trials
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