Complex Disease - Data Analysis Working Group

Our mission is to execute core analyses to identify the genetic basis of genetically complex forms of Parkinson’s disease.

Our overall goals are to support the maintenance, democratization, and acceleration of analyses relating to basic analysis and storage ecosystem, data quality control including protected health information (PHI) scrubbing, imputation harmonization, periodic genome-wide association study (GWAS) result and data quality control updates, and machine learning predictions for all outcomes of interest. We will also provide analytical support for investigators with approved projects.

Working Group
Mike A. Nalls, PhD
Biography
Lead Complex Disease Data Analysis

Mike A. Nalls, PhD

Data Tecnica International | USA
Hampton Leonard, MS
Biography
Co-Lead Complex Disease Data Analysis

Hampton Leonard, MS

Data Tecnica International / National Institutes of Health | USA
Sara Bandres-Ciga, PharmD, PhD
Biography
Co-Lead Training, Networking, and Communication

Sara Bandres-Ciga, PharmD, PhD

National Institutes of Health | USA
Cornelis Blauwendraat, PhD
Biography
Co-Lead Complex Disease

Cornelis Blauwendraat, PhD

National Institutes of Health | USA
Jean-Christophe Corvol, MD, PhD
Biography

Jean-Christophe Corvol, MD, PhD

ICM Institute | France
Ignacio Fernandez Mata, PhD
Biography
Lead Underrepresented Populations

Ignacio Fernandez Mata, PhD

Cleveland Clinic | USA
Hirotaka Iwaki, MD, PhD
Biography
Co-Lead Complex Disease Cohort Integration

Hirotaka Iwaki, MD, PhD

Data Technica International / National Institutes of Health | USA
Jeff J. Kim, BA
Biography

Jeff J. Kim, BA

National Institutes of Health | USA
Mary B. Makarious, BSc
Biography
Co-lead data and code dissemination

Mary B. Makarious, BSc

National Institutes of Health | USA
Yeajin Song, MS
Biography

Yeajin Song, MS

Data Tecnica International | USA
Dan Vitale
Biography

Dan Vitale

Data Tecnica International | USA
Nigel Williams, PhD
Biography

Nigel Williams, PhD

Cardiff University | United Kingdom
Milestones
Progress so far
  • Developed NeuroPlus array
  • Established GP2 GitHub and growing codebase
  • Polished current data analysis pipelines and automated
  • Created prototype ecosystem for analysis and storage
  • Carried out initial analyses across working groups
Remaining Year 1 Goals
  • Start analyzing GP2 data
  • Test and optimize potential additional analysis ecosystems
  • Grow GP2 codebase for further analysis democratization

Contact Us

Please email dawg@gp2.org for a link to the Basecamp site if you would like to participate.