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Complex Disease – Data Analysis Working Group

The Data Analysis working group manages the maintenance, democratization, and acceleration of analyses, and provides analytical support for investigators with approved projects.

About the 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.

Meet the leads & co-leads

Lead

Mike A. Nalls, PhD

National Institutes of Health | USA

Co-Lead

Hampton Leonard

National Institute on Aging/National Institutes of Health | USA

Co-Lead

Cornelis Blauwendraat, PhD

National Institutes of Health | USA

Meet the participants

Member

Mathew Koretsky, BSc

National Institutes of Health | WA, USA

Member

Kristin Levine, MSc

Data Tecnica International | USA

Member

Jonggeol Jeff Kim, BA

National Institutes of Health | USA

Member

Faraz Faghri, PhD

National Institutes of Health | USA

Member

Dan Vitale

National Institutes of Health | USA

Member

Bradford Casey, PhD

The Michael J Fox Foundation for Parkinson's Research | New York City, NY, USA

Member

Hirotaka Iwaki, MD, PhD

Data Tecnica International | USA

Member

Mary B Makarious, PhD

National Institutes of Health | Washington D.C., USA

Member

Nigel Williams

Cardiff University | UK

Member

Sara Bandres-Ciga, PharmD,PhD

National Institutes of Health | USA

Member

Ignacio (Nacho) F. Mata, PhD

Cleveland Clinic | USA

Member

Miguel E. Rentería, PhD

QIMR Berghofer Medical Research Institute | Brisbane, Australia

Member

Nicole Kuznetsov

NIH | USA

Milestones

Completed

  • Automated QC pipeline working at scale in the cloud