The Foundation supports research across basic, translational and clinical science to speed breakthroughs that can lead to the creation of new treatments and a better quality of life for people with Parkinson's disease.
Search or browse funded studies
Previously funded studies appear chronologically, with the most recent appearing first.
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LRRK2 Biology Consortium, 2017Investigating the Role of LRRK2 in Immunity and Susceptibility to Infection
Study Rationale:
One of the most common inherited causes of Parkinson's disease (PD) is defect in the LRRK2 protein caused by changes, or mutations, of the LRRK2 gene. Our previous studies have shown... -
Research Grant, 2017Making Changes in the Parkin Gene to Activate the Protein Parkin
Study Rationale:
The protein Parkin prevents cell death by breaking down damaged mitochondria, cells' energy generators. Mutations in the Parkin gene -- genetic changes that render the protein unable... -
Research Grant, 2017Stem Cells with Different Amounts of Alpha-synuclein as a Drug Discovery Tool
Promising Outcomes of Original Grant:
Stem cells are a renewable source of tissue that can be coaxed to become different cell types of the body. When prompted, stem cell models can become neural cells... -
Improved Biomarkers and Clinical Outcome Measures, 2017Predicting the Risk of Parkinson’s Disease with a Mathematical Formula
Study Rationale:
Currently, there is no way to predict whether a person will develop Parkinson's disease (PD) and, if so, when. We have created a mathematical formula for calculating a person's risk... -
Computational Science, 2017Analyzing Data from the Parkinson’s Progression Markers Initiative to Identify Subtypes of Parkinson’s Disease
Study Rationale:
Parkinson's disease (PD) presents and progresses variably, so no two people with Parkinson's have the same disease. The diversity of PD clinical manifestations makes the disease more... -
Computational Science, 2017Complex Data Analysis for the Development of Parkinson’s Disease Biomarkers
Study Design:
To test this hypothesis, we will employ recent discoveries in computer science, PD biomarker research and standardized sets of PD data. First, we will develop machine-learning techniques...
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Our funding programs support basic, translational and clinical research from academia and industry.