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Funded Studies

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.

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Previously funded studies appear chronologically, with the most recent appearing first.

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  • Research Grant, 2017
    Drawing on the Parkinson's Progression Markers Initiative (PPMI) Data to Link Changes in the PINK1/Parkin Genes with Parkinson's Disease

    Study Rationale:
    Two proteins, PINK1 and Parkin, prevent cell death by breaking down damaged mitochondria, cell's energy generators. This process is known as mitophagy. Mutations in PINK1/Parkin genes...

  • LRRK2 Biology Consortium, 2017
    Study of How LRRK2 Mutations Affect Cellular Processes that Could Lead to PD

    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. LRRK2 regulates the movement of...

  • Target Advancement Program, 2017
    Investigating Kainate Receptor as a Potential Target to Protect against Early-Onset Parkinson's Disease

    Study Rationale:
    Kainate receptors (KARs) are proteins on the surface of neurons that help to transmit signals between the neurons. The process generates electrical currents at the point of...

  • Computational Science, 2017
    Software for the Analysis of Data on Parkinson's Disease Symptoms Collected Using Wearable Technology

    Study Rationale:
    Smartphone apps and wearable technology with built-in sensors allow people with Parkinson's disease (PD) to track motor symptoms such as tremor. The nature of this technology allows...

  • Research Grant, 2017
    Searching for the Cause of Parkinson’s Disease in People with GBA Mutations

    Study Rationale:
    The GBA gene is responsible for the production of beta-glucocerebrosidase, an enzyme that breaks down fats. Scientists are starting to recognize changes, or mutations, in the GBA gene...

  • Computational Science, 2017
    Using "Big Data" Methods to Better Plan Clinical Trials and Predict Outcomes of Parkinson's Disease

    Study Rationale:
    Parkinson’s disease (PD) progresses differently in every case, which makes reliable prediction of future outcomes challenging. Looking for better ways to predict disease progression...

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Our funding programs support basic, translational and clinical research from academia and industry.

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