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Comprehensive Research Synopsis and Systematic Meta-Analyses in Parkinson's Disease Genetics: The PDGene Database

Author

Listed:
  • Christina M Lill
  • Johannes T Roehr
  • Matthew B McQueen
  • Fotini K Kavvoura
  • Sachin Bagade
  • Brit-Maren M Schjeide
  • Leif M Schjeide
  • Esther Meissner
  • Ute Zauft
  • Nicole C Allen
  • Tian Liu
  • Marcel Schilling
  • Kari J Anderson
  • Gary Beecham
  • Daniela Berg
  • Joanna M Biernacka
  • Alexis Brice
  • Anita L DeStefano
  • Chuong B Do
  • Nicholas Eriksson
  • Stewart A Factor
  • Matthew J Farrer
  • Tatiana Foroud
  • Thomas Gasser
  • Taye Hamza
  • John A Hardy
  • Peter Heutink
  • Erin M Hill-Burns
  • Christine Klein
  • Jeanne C Latourelle
  • Demetrius M Maraganore
  • Eden R Martin
  • Maria Martinez
  • Richard H Myers
  • Michael A Nalls
  • Nathan Pankratz
  • Haydeh Payami
  • Wataru Satake
  • William K Scott
  • Manu Sharma
  • Andrew B Singleton
  • Kari Stefansson
  • Tatsushi Toda
  • Joyce Y Tung
  • Jeffery Vance
  • Nick W Wood
  • Cyrus P Zabetian
  • 23andMe, The Genetic Epidemiology of Parkinson's Disease (GEO-PD) Consortium
  • The International Parkinson's Disease Genomics Consortium (IPDGC)
  • The Parkinson's Disease GWAS Consortium
  • The Wellcome Trust Case Control Consortium 2 (WTCCC2)
  • Peter Young
  • Rudolph E Tanzi
  • Muin J Khoury
  • Frauke Zipp
  • Hans Lehrach
  • John P A Ioannidis
  • Lars Bertram

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 Meta-analyses on 147 SNPs were supplemented by unpublished GWAS data from up to 16,452 PD cases and 48,810 controls.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

Suggested Citation

  • Christina M Lill & Johannes T Roehr & Matthew B McQueen & Fotini K Kavvoura & Sachin Bagade & Brit-Maren M Schjeide & Leif M Schjeide & Esther Meissner & Ute Zauft & Nicole C Allen & Tian Liu & Marcel, 2012. "Comprehensive Research Synopsis and Systematic Meta-Analyses in Parkinson's Disease Genetics: The PDGene Database," PLOS Genetics, Public Library of Science, vol. 8(3), pages 1-10, March.
    • Handle: RePEc:plo:pgen00:1002548
    DOI: 10.1371/journal.pgen.1002548
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    Cited by:

    1. Yongshuai Jiang & Lanying Zhang & Fanwu Kong & Mingming Zhang & Hongchao Lv & Guiyou Liu & Mingzhi Liao & Rennan Feng & Jin Li & Ruijie Zhang, 2014. "MCPerm: A Monte Carlo Permutation Method for Accurately Correcting the Multiple Testing in a Meta-Analysis of Genetic Association Studies," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-9, February.
    2. Ismaïl Ahmed & Pei-Chen Lee & Christina M Lill & Susan Searles Nielsen & Fanny Artaud & Lisa G Gallagher & Marie-Anne Loriot & Claire Mulot & Magali Nacfer & Tian Liu & Joanna M Biernacka & Sebastian , 2014. "Lack of Replication of the GRIN2A-by-Coffee Interaction in Parkinson Disease," PLOS Genetics, Public Library of Science, vol. 10(11), pages 1-9, November.
    3. Michael W Nagle & Jeanne C Latourelle & Adam Labadorf & Alexandra Dumitriu & Tiffany C Hadzi & Thomas G Beach & Richard H Myers, 2016. "The 4p16.3 Parkinson Disease Risk Locus Is Associated with GAK Expression and Genes Involved with the Synaptic Vesicle Membrane," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-14, August.

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