PD GWAS Consortium

Summary

Principal Investigator: Tatiana M Foroud
Abstract: Parkinson disease (PD) is the second most common neurodegenerative disorder, affecting nearly 500,000 Americans. Although five genes have been identified which can directly cause PD when mutated, these genes likely contribute to disease in far fewer than 5% of all PD patients. Six Genome-Wide Association Studies (GWAS) have been or are in the process of being completed to identify common variants contributing to PD susceptibility and/or age of disease onset. There has been very limited overlap among the top SNPs or genes nominated in the four studies that have been publicly reported. At least two studies have reported support for an association with SNCA and MAPT. However, no cohesive analysis, like that proposed here, has been performed on these large GWAS studies. Based on the relative risk of PD to first degree relatives, and the numerous candidate genes that have been confirmed by multiple laboratories to have association with PD risk and age-of-onset (i.e. GBA, MAPT), it would appear highly likely that additional genes, not yet identified, must also contribute to PD susceptibility. In this application, we propose to create the PD GWAS Consortium which will collaboratively use the clinical and biological resources of the PD genetics research community to identify genes contributing to PD. The PD GWAS Consortium will consist not only of investigators from most of the groups generating PD GWAS data, but will also include investigators providing independent replication samples. This collaborative group will pursue four specific aims: 1) Perform meta and pooled analyses across the GWAS data available from six independent studies to identify the SNPs providing the strongest evidence of association with PD susceptibility (5,113 cases;5,327 controls) and age of onset (5,113 PD cases) across studies. 2) Perform pooled analysis across the GWAS data available from five independent studies (4,670 cases;4,884 controls) to identify copy number variants providing the strongest evidence of association with PD susceptibility and age of onset across studies. 3) Perform analyses in the five independent GWAS studies containing smoking data to test for gene x smoking interactions that may contribute to PD susceptibility or age of onset. 4) Genotype 384 SNPs in the genes of highest priority in a replication sample of 2,976 PD cases and 2,976 controls never included in a previous GWAS. The studies proposed herein will allow us to rapidly advance PD genetics, poise the field to pursue further studies of the most promising genomic variation and lead to a better understanding of the mechanisms contributing to disease risk and age of onset.
Funding Period: ----------------2009 - ---------------2010-
more information: NIH RePORT

Top Publications

  1. pmc Gene expression profiles in Parkinson disease prefrontal cortex implicate FOXO1 and genes under its transcriptional regulation
    Alexandra Dumitriu
    Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America
    PLoS Genet 8:e1002794. 2012
  2. pmc Amyloid pathway-based candidate gene analysis of [(11)C]PiB-PET in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort
    Shanker Swaminathan
    Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA
    Brain Imaging Behav 6:1-15. 2012
  3. pmc Comprehensive research synopsis and systematic meta-analyses in Parkinson's disease genetics: The PDGene database
    Christina M Lill
    Neuropsychiatric Genetics Group, Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany
    PLoS Genet 8:e1002548. 2012
  4. pmc Meta-analysis of Parkinson's disease: identification of a novel locus, RIT2
    Nathan Pankratz
    Indiana University School of Medicine, Indianapolis, IN 46202, USA
    Ann Neurol 71:370-84. 2012

Scientific Experts

  • Andrew Saykin
  • Lars Bertram
  • Tatiana Foroud
  • Nathan Pankratz
  • Richard H Myers
  • Jeanne C Latourelle
  • William K Scott
  • Shanker Swaminathan
  • Anita L Destefano
  • Eden R Martin
  • Haydeh Payami
  • Stewart A Factor
  • Cyrus P Zabetian
  • Christina M Lill
  • Jeffery M Vance
  • Alexandra Dumitriu
  • Manu Sharma
  • David K Simon
  • Clifford R Jack
  • Marcel Schilling
  • Matthew J Huentelman
  • John P Miller
  • Tiffany C Hadzi
  • Karen Marder
  • Kimberly F Doheny
  • William J Jagust
  • Michael A Nalls
  • David W Craig
  • Caroline Tanner
  • Dmitri Krainc
  • Chester A Mathis
  • Matthew B McQueen
  • Hans Lehrach
  • Esther Meissner
  • Sachin Bagade
  • Frauke Zipp
  • Thomas Gasser
  • Fotini K Kavvoura
  • Leif M Schjeide
  • Li Shen
  • Erin M Hill-Burns
  • Kari Stefansson
  • Joanna M Biernacka
  • Chuong B Do
  • Jeffery Vance
  • Adrian J Ivinson
  • Robert A Koeppe
  • Nicholas Eriksson
  • John A Hardy
  • Maria Martinez
  • Thomas G Beach
  • John D West
  • Peter Heutink
  • Joyce Y Tung
  • Daniela Berg
  • Tian Liu
  • Zbigniew K Wszolek
  • Nicole C Allen
  • Wataru Satake
  • John P A Ioannidis
  • Peter Young
  • Taye Hamza
  • Brit Maren M Schjeide
  • Richard Mayeux
  • Tatsushi Toda
  • Kwangsik Nho
  • Mark Inlow
  • Michael W Weiner
  • Gary Beecham
  • Matthew J Farrer
  • Karmen K Yoder
  • Dan Garza
  • Albert Y Hung
  • Ted M Dawson
  • Sungeun Kim
  • Steven G Potkin
  • Clemens R Scherzer
  • Alexis Brice
  • Lorraine N Clark
  • Shannon L Risacher
  • Kari J Anderson
  • Rudolph E Tanzi
  • Owen A Ross
  • Demetrius M Maraganore
  • Johannes T Roehr
  • Nick W Wood
  • Muin J Khoury
  • Taye H Hamza
  • Christine Klein
  • Ute Zauft

Detail Information

Publications4

  1. pmc Gene expression profiles in Parkinson disease prefrontal cortex implicate FOXO1 and genes under its transcriptional regulation
    Alexandra Dumitriu
    Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America
    PLoS Genet 8:e1002794. 2012
    ..These results implicate FOXO1 as a PD-relevant gene and warrant further functional analyses of its transcriptional regulatory mechanisms...
  2. pmc Amyloid pathway-based candidate gene analysis of [(11)C]PiB-PET in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort
    Shanker Swaminathan
    Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA
    Brain Imaging Behav 6:1-15. 2012
    ..Pathway-based genetic analysis of targeted molecular imaging phenotypes appears promising to help elucidate disease pathophysiology and identify potential therapeutic targets...
  3. pmc Comprehensive research synopsis and systematic meta-analyses in Parkinson's disease genetics: The PDGene database
    Christina M Lill
    Neuropsychiatric Genetics Group, Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany
    PLoS Genet 8:e1002548. 2012
    ..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...
  4. pmc Meta-analysis of Parkinson's disease: identification of a novel locus, RIT2
    Nathan Pankratz
    Indiana University School of Medicine, Indianapolis, IN 46202, USA
    Ann Neurol 71:370-84. 2012
    ..Genome-wide association (GWAS) methods have identified genes contributing to Parkinson's disease (PD); we sought to identify additional genes associated with PD susceptibility...