Cohort Dashboard

GP2’s mission is to further understand the genetic architecture of Parkinson’s disease (PD) through genotyping diverse participant groups and studying highly suspected monogenic forms of PD. In support of this mission, we continue to collect diverse cohorts from around the world through collaboration and openly sharing data, processes, and results. Explore the dashboard below to understand our milestones achieved so far, and continue to visit this page as data will be updated monthly.

Total Global Data

Unique Locations
0
Cohorts
0
Samples Expected
0
Samples Completed
0

Last Updated: April 23, 2024 | Original design by GP2 Hackathon 2021 Team: Mary Makarious, Kajsa Brolin, Yeajin Song, and Anastasia Illarionova

Showing 8 of 18 cohort studies at Parkinson's Progression Markers Initiative.

PPMI - The Parkinson's Institute

The Parkinson's Institute | Sunnyvale, United States
Number of Samples Completed and Expected
PD Samples
PD Samples

PD samples include clinically diagnosed cases that meet classifying criteria.

Pending
Non-PD Samples
Non-PD Samples

Non-PD samples include healthy controls, Prodromal, and Parkinson’s Adjacent Disorders (PAD) which come from related diagnoses and neurological disorders.

Pending
Total Samples
Total Samples

Total samples include PD cases, healthy controls, Prodromal cases, and Parkinson’s Adjacent Disorders (PAD).

0 Completed out of 0 Expected

PPMI - University of Alabama Birmingham

University of Alabama Birmingham | Birmingham, United States
Number of Samples Completed and Expected
PD Samples
PD Samples

PD samples include clinically diagnosed cases that meet classifying criteria.

Pending
Non-PD Samples
Non-PD Samples

Non-PD samples include healthy controls, Prodromal, and Parkinson’s Adjacent Disorders (PAD) which come from related diagnoses and neurological disorders.

Pending
Total Samples
Total Samples

Total samples include PD cases, healthy controls, Prodromal cases, and Parkinson’s Adjacent Disorders (PAD).

0 Completed out of 0 Expected

PPMI - University of California San Diego

University of California San Diego | San Diego, United States
Number of Samples Completed and Expected
PD Samples
PD Samples

PD samples include clinically diagnosed cases that meet classifying criteria.

Pending
Non-PD Samples
Non-PD Samples

Non-PD samples include healthy controls, Prodromal, and Parkinson’s Adjacent Disorders (PAD) which come from related diagnoses and neurological disorders.

Pending
Total Samples
Total Samples

Total samples include PD cases, healthy controls, Prodromal cases, and Parkinson’s Adjacent Disorders (PAD).

0 Completed out of 0 Expected

PPMI - University of Cincinnati

University of CIncinnati | Cincinnati, United States
Number of Samples Completed and Expected
PD Samples
PD Samples

PD samples include clinically diagnosed cases that meet classifying criteria.

Pending
Non-PD Samples
Non-PD Samples

Non-PD samples include healthy controls, Prodromal, and Parkinson’s Adjacent Disorders (PAD) which come from related diagnoses and neurological disorders.

Pending
Total Samples
Total Samples

Total samples include PD cases, healthy controls, Prodromal cases, and Parkinson’s Adjacent Disorders (PAD).

0 Completed out of 0 Expected

PPMI - University of Pennsylvania

University of Pennsylvania | Philadelphia, United States
Number of Samples Completed and Expected
PD Samples
PD Samples

PD samples include clinically diagnosed cases that meet classifying criteria.

Pending
Non-PD Samples
Non-PD Samples

Non-PD samples include healthy controls, Prodromal, and Parkinson’s Adjacent Disorders (PAD) which come from related diagnoses and neurological disorders.

Pending
Total Samples
Total Samples

Total samples include PD cases, healthy controls, Prodromal cases, and Parkinson’s Adjacent Disorders (PAD).

0 Completed out of 0 Expected

PPMI - University of Rochester

University of Rochester | Rochester, United States
Number of Samples Completed and Expected
PD Samples
PD Samples

PD samples include clinically diagnosed cases that meet classifying criteria.

Pending
Non-PD Samples
Non-PD Samples

Non-PD samples include healthy controls, Prodromal, and Parkinson’s Adjacent Disorders (PAD) which come from related diagnoses and neurological disorders.

Pending
Total Samples
Total Samples

Total samples include PD cases, healthy controls, Prodromal cases, and Parkinson’s Adjacent Disorders (PAD).

0 Completed out of 0 Expected

PPMI - University of South Florida

University of South Florida | Tampa, United States
Number of Samples Completed and Expected
PD Samples
PD Samples

PD samples include clinically diagnosed cases that meet classifying criteria.

Pending
Non-PD Samples
Non-PD Samples

Non-PD samples include healthy controls, Prodromal, and Parkinson’s Adjacent Disorders (PAD) which come from related diagnoses and neurological disorders.

Pending
Total Samples
Total Samples

Total samples include PD cases, healthy controls, Prodromal cases, and Parkinson’s Adjacent Disorders (PAD).

0 Completed out of 0 Expected

PPMI - University of Washington

University of Washington | Seattle, United States
Number of Samples Completed and Expected
PD Samples
PD Samples

PD samples include clinically diagnosed cases that meet classifying criteria.

Pending
Non-PD Samples
Non-PD Samples

Non-PD samples include healthy controls, Prodromal, and Parkinson’s Adjacent Disorders (PAD) which come from related diagnoses and neurological disorders.

Pending
Total Samples
Total Samples

Total samples include PD cases, healthy controls, Prodromal cases, and Parkinson’s Adjacent Disorders (PAD).

0 Completed out of 0 Expected

Submit a Cohort

If you would like to collaborate with GP2, reach out to submit a cohort or get more information on how to become a member.

Request AMP® PD Data Set

As GP2 completes cohort genotyping, all data is shared through the secured AMP® PD platform. Register to request access to this data.

Discover GP2 Members from Around the Globe

Explore the organizational members that make our research possible through their collaboration and contribution of samples and data.