122
Views
9
CrossRef citations to date
0
Altmetric
Original Article

HLA-DRA rs3129882 A/G polymorphism was not a risk factor for Parkinson's disease in Chinese-based populations: a meta-analysis

, &
Pages 241-246 | Received 25 Feb 2014, Accepted 17 May 2014, Published online: 11 Jun 2014
 

Abstract

Purpose: Many studies have evaluated the association between the HLA-DRA rs3129882 A/G polymorphism and risk for Parkinson's disease (PD) in Chinese-based populations, however, published data remain inconclusive. Therefore, we performed a meta-analysis from all relevant studies to evaluate an association of HLA-DRA rs3129882 A/G polymorphism with susceptibility to PD. Methods: The summary odds ratio (OR) with its 95% confidence interval (CI) was calculated to evaluate the association. The Q statistic was used to evaluate homogeneity and funnel plots were used to assess publication bias. The minor A allele frequencies, additive, dominant as well as recessive genetic models were examined in the analyses. Results: Five case-control studies with a total of 2230 PD cases and 2262 controls from Mainland China, Taiwan, Singapore, and Malaysia were included in the final meta-analysis. Neither the minor A allele frequencies nor the genotypic distributions were significantly different between PD cases and controls when all studies were pooled into this meta-analysis. Conclusion: The results of this meta-analysis suggest that HLA-DRA rs3129882 A/G polymorphism was not responsible for PD in Chinese-based populations.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,997.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.