Back to Search Start Over

The rs3129882/rs4248166 in HLA-DRA and rs34372695 in SYT11 are not associated with sporadic Parkinson's disease in Central Chinese population.

Authors :
Li, Jie
Jian, Lubao
Huang, Jinsha
Xiong, Nian
Wang, Tao
Source :
International Journal of Neuroscience; Jul2021, Vol. 131 Issue 7, p674-680, 7p
Publication Year :
2021

Abstract

Parkinson's disease (PD) is a common progressive neurodegenerative disorder. Up to now, several single-nucleotide polymorphisms (SNPs) located in virulence gene sites have been reported linked to PD. Candidate gene association studies and genome-wide association studies have identified rs3129882, rs4248166 in HLA-DRA and rs34372695 in SYT11 as risk factors for familial or sporadic PD. However, the association between variants of HLA-DRA, SYT11 and PD are still controversial, especially in the Central Chinese population. We here performed a case-control study to investigate whether HLA-DRA and SYT11 genes could predispose to sporadic PD in the Chinese population. We investigate 486 PD patients and 457 age- and sex-matched controls from Central China to assess this association. In the allele model, the odds ratio (OR) result of rs3129882 was 0.905 (p = 0.287). Moreover, no significant difference was observed in the association between rs424816 (OR = 0.864, p = 0.106) and rs34372695 (p = 1.0) with PD risk. Genotypic analysis in SNP rs3129882, rs4248166 and rs34372695 indicated no significant association with PD. Subgroup analysis of our data showed age-onset and gender were not associated with either genotype or minor allele frequencies of rs3129882 and rs4248166. Moreover, the negative results were also observed in a meta-analysis of studies of rs3129882 from mainland China and Taiwanese population. Our results reveal that rs3129882, rs4248166 and rs34372695 do not confer significant risks for sporadic PD in the Central Chinese population. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00207454
Volume :
131
Issue :
7
Database :
Complementary Index
Journal :
International Journal of Neuroscience
Publication Type :
Academic Journal
Accession number :
150961791
Full Text :
https://doi.org/10.1080/00207454.2020.1753728