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22.11.2019 | Review Article | Ausgabe 2/2020

Neurological Sciences 2/2020

Association between alpha-synuclein (SNCA) rs11931074 variability and susceptibility to Parkinson’s disease: an updated meta-analysis of 41,811 patients

Zeitschrift:
Neurological Sciences > Ausgabe 2/2020
Autoren:
Bingying Du, Qiang Xue, Caiquan Liang, Cunxiu Fan, Meng Liang, Yanbo Zhang, Xiaoying Bi, Lijun Hou
Wichtige Hinweise
Bingying Du, Qiang Xue, and Caiquan Liang equally contributed to this work

Highlights

Association of SNCA gene polymorphisms (rs11931074) with PD susceptibility was examined.
SNCA rs11931074 polymorphism is found to increase risk in PD.
SNCA polymorphism SNP rs11931074 showed significant association in both Asian and Caucasian population.

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Abstract

Background and objectives

Parkinson’s disease (PD) is one of the most common forms of neurodegenerative disorders, and its etiology remains unclear. Single nucleotide polymorphisms (SNPs) of alpha-synuclein (SNCA) have been found to be significantly associated with PD risk. In particular, the variant rs11931074 was found in one meta-analysis to appear to play a role in the occurrence of PD. This finding has been questioned in subsequent studies, however. The aim of this study was to determine the relationship between PD risk and rs11931074 polymorphism.

Methods

We performed a systematic online search, including PubMed, Web of Science, EMBASE, Cochrane Library, and CNKI (China National Knowledge Infrastructure), aiming to identify case–control studies looking at the role of rs11931074 in PD. We performed calculations of pooled odds ratio (OR) and 95% confidence interval (95% CI) to assess the associations, and subgroup meta-analyses to verify differences between various ethnicities of different study populations.

Results

A total of 13 studies involving 13,403 cases and 28,408 controls met the inclusion criteria after assessment by two reviewers. Overall, there exists significant associations between SNCA rs11931074 polymorphism and the risk of PD under five genetic models (allele contrast model: T vs. G, OR = 1.28, 95% CI = 1.12–1.45, P = 0.0001; homozygote model: TG vs. GG, OR = 1.55, 95% CI = 1.17–2.05, P = 0.002; heterozygote model (TT vs. GG, OR = 1.23, 95% CI = 1.05–1.42, P = 0.009; dominant model: TG+TT vs. GG: OR = 1.25, 95% CI = 1.05–1.50, P = 0.01 and recessive model: TT vs. TG+GG: OR = 1.40, 95% CI = 1.18–1.68, P = 0.0002). When ethnicities were stratified, significant associations were found in the allelic, homozygote, and recessive models for Asians, and in the allelic model for Caucasians.

Conclusion

SNCA rs11931074 polymorphism is found to be associated with PD risk and this risk appears to be influenced by genetic status and ethnicity.

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