DESCRIPTION:

List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was Parkinson's disease. The EFO term Parkinson's disease was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.

LABEL:

GWAS: Parkinson's disease

SCORE TYPE:

P-Value

THRESHOLD:

<= 0.05

GENES IN THRESHOLD:

8

DATE ADDED:

2017-05-02

DATE UPDATED:

2024-10-22

SPECIES:

AUTHORS:

CM Lill, JT Roehr, MB McQueen, FK Kavvoura, S Bagade, BM Schjeide, LM Schjeide, E Meissner, U Zauft, NC Allen, T Liu, M Schilling, KJ Anderson, G Beecham, D Berg, JM Biernacka, A Brice, AL DeStefano, CB Do, N Eriksson, SA Factor, MJ Farrer, T Foroud, T Gasser, T Hamza, JA Hardy, P Heutink, EM Hill-Burns, C Klein, JC Latourelle, DM Maraganore, ER Martin, M Martinez, RH Myers, MA Nalls, N Pankratz, H Payami, W Satake, WK Scott, M Sharma, AB Singleton, K Stefansson, T Toda, JY Tung, J Vance, NW Wood, CP Zabetian, P Young, RE Tanzi, MJ Khoury, F Zipp, H Lehrach, JP Ioannidis, L Bertram

TITLE:

Comprehensive research synopsis and systematic meta-analyses in Parkinson's disease genetics: The PDGene database.

JOURNAL:

PLoS genetics None 2012, Vol 8, pp. e1002548

ABSTRACT:

More than 800 published genetic association studies have implicated dozens of potential risk loci in Parkinson's disease (PD). To facilitate the interpretation of these findings, we have created a dedicated online resource, PDGene, that comprehensively collects and meta-analyzes all published studies in the field. A systematic literature screen of -27,000 articles yielded 828 eligible articles from which relevant data were extracted. In addition, individual-level data from three publicly available genome-wide association studies (GWAS) were obtained and subjected to genotype imputation and analysis. Overall, we performed meta-analyses on more than seven million polymorphisms originating either from GWAS datasets and/or from smaller scale PD association studies. Meta-analyses on 147 SNPs were supplemented by unpublished GWAS data from up to 16,452 PD cases and 48,810 controls. Eleven loci showed genome-wide significant (P < 5 × 10(-8)) association with disease risk: BST1, CCDC62/HIP1R, DGKQ/GAK, GBA, LRRK2, MAPT, MCCC1/LAMP3, PARK16, SNCA, STK39, and SYT11/RAB25. In addition, we identified novel evidence for genome-wide significant association with a polymorphism in ITGA8 (rs7077361, OR 0.88, P  =  1.3 × 10(-8)). All meta-analysis results are freely available on a dedicated online database (www.pdgene.org), which is cross-linked with a customized track on the UCSC Genome Browser. Our study provides an exhaustive and up-to-date summary of the status of PD genetics research that can be readily scaled to include the results of future large-scale genetics projects, including next-generation sequencing studies. PUBMED: 22438815
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