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Monogenic – Data Analysis Working Group

The Data Analysis working group carries out core analyses to identify the genetic basis of monogenic forms of Parkinson’s disease.

About the Monogenic – Data Analysis Working Group

The Data Analysis group is one of the three working groups making up the Monogenic Network. This Working Group executes and coordinates core analyses to identify the genetic basis of monogenic forms of Parkinson’s disease in close collaboration with the sample providers.

We will analyze genotyping and whole genome sequencing data obtained from the collected families in close collaboration with the sample providers. We hope to be able to analyze samples from across the world and include patients from underrepresented populations. We will also develop population specific reference genomes that will improve the detection of population specific risk factors.

Meet the leads & co-leads

Lead

Zih-Hua Fang, PhD

The German Center for Neurodegenerative Diseases | Germany

Co-Lead

Ignacio Juan Keller Sarmiento, MD

Northwestern University | USA

Meet the participants

Member

Niccolò Emanuele Mencacci, MD, PhD

Northwestern University, Northwestern University | Chicago, IL, USA

Member

Lara M. Lange, MD

University of Lübeck and University Medical Center Schleswig-Holstein | Lübeck, Germany

Member

Katja Lohmann, PhD

University of Luebeck | Germany

Member

Azlina Ahmad-Annuar

University of Malaya | Malaysia

Member

Ana Westenberger, PhD

University of Lübeck | Lübeck, Germany

Member

Joanne Trinh, PhD

University of Lübeck | Luebeck, Germany

Milestones

Active

  • Analysis strategies for monogenic data
  • The bioinformatic workflow for identifying known and novel repeat expansions
  • The bioinformatic workflow for structural variant joint calling
  • Rare-variant association analyses (coding and non-coding variants)

Completed

  • The family-based whole-genome data analysis workflows

Not Started

  • The anaylses of Mitochondrial DNA variants