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Scientific article
Meta-analysis
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English

A two-stage meta-analysis identifies several new loci for Parkinson's disease

Contributors

French Parkinson's Disease Genetics Study Group

Collaborators

Pollak, Pierre

Published in

PLOS genetics, vol. 7, no. 6, e1002142

Publication date

2011

Abstract

A previous genome-wide association (GWA) meta-analysis of 12,386 PD cases and 21,026 controls conducted by the International Parkinson's Disease Genomics Consortium (IPDGC) discovered or confirmed 11 Parkinson's disease (PD) loci. This first analysis of the two-stage IPDGC study focused on the set of loci that passed genome-wide significance in the first stage GWA scan. However, the second stage genotyping array, the ImmunoChip, included a larger set of 1,920 SNPs selected on the basis of the GWA analysis. Here, we analyzed this set of 1,920 SNPs, and we identified five additional PD risk loci (combined p<5×10(-10), PARK16/1q32, STX1B/16p11, FGF20/8p22, STBD1/4q21, and GPNMB/7p15). Two of these five loci have been suggested by previous association studies (PARK16/1q32, FGF20/8p22), and this study provides further support for these findings. Using a dataset of post-mortem brain samples assayed for gene expression (n = 399) and methylation (n = 292), we identified methylation and expression changes associated with PD risk variants in PARK16/1q32, GPNMB/7p15, and STX1B/16p11 loci, hence suggesting potential molecular mechanisms and candidate genes at these risk loci.

Keywords

  • Brain/metabolism
  • DNA Methylation
  • Gene Expression Profiling
  • Gene Expression Regulation
  • Genetic Loci/genetics
  • Genetic Predisposition to Disease
  • Genome-Wide Association Study
  • Humans
  • Parkinson Disease/genetics
  • Polymorphism, Single Nucleotide/genetics
  • Risk Assessment

UNIGE affiliation entities

UNIGE research groups

Citation (ISO format)

French Parkinson’s Disease Genetics Study Group. A two-stage meta-analysis identifies several new loci for Parkinson’s disease. In: PLOS genetics, 2011, vol. 7, n° 6, p. e1002142. doi: 10.1371/journal.pgen.1002142

Main files (1)

Article (Published version)

Identifiers

Journal ISSN

1553-7390
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198downloads

Technical informations

Creation

13/01/2015 13:49:00

First validation

13/01/2015 13:49:00

Update

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Status update

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Last indexation

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