Evaluating the performance of polygenic risk profiling across diverse ancestry populations in Parkinson’s disease

Objective This study aims to address disparities in risk prediction by evaluating the performance of polygenic risk score (PRS) models using the 90 risk variants across 78 independent loci previously linked to Parkinson’s disease (PD) risk across seven diverse ancestry populations.

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.
Learn more about Complex Disease - Data Analysis Working Group

Training and Networking Working Group

The Training and Networking working group promotes training and networking throughout the GP2 project.
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Meet the authors

PhD Student

Paula Saffie Awad

Universidade Federal do Rio Grande do Sul | Chile

Assistant Professor & Researcher

Inas Elsayed

Faculty of pharmacy University of Gezira | Sudan

Neuroscientist

Arinola Sanyaolu, PhD

University of Lagos | Lagos, Nigeria

Postbaccalaureate IRTA Fellow

Peter Wild Crea

NIH | USA

Assistant Professor / Head of Neurology Unit

Artur F. Schumacher-Schuh, MD, PhD

Universidade Federal do Rio Grande do Sul / Hospital de Clínicas de Porto Alegre | Brazil

Data Scientist

Kristin Levine, MSc

Data Tecnica International | USA

Data Scientist

Dan Vitale

National Institutes of Health | USA

Postbac IRTA Fellow

Mathew Koretsky, BSc

National Institutes of Health | USA

Unknown, postdoc

Thiago Peixoto Leal

Unknown, Cleveland Clinic | USA