Multi-ancestry genome-wide meta-analysis in Parkinson’s disease
By quincy.tichenor onPreprint: The authors performed the first large-scale multi-ancestry meta-analysis of Parkinson’s disease with 49,049 cases, 18,785 proxy cases, and 2,458,063 controls including individuals of European, East Asian, Latin American, and African ancestry. This work lays the groundwork for future efforts aimed at identifying PD loci in non-European populations.
Black and African American Connections to Parkinson’s Disease Study: Addressing Missing Diversity in Parkinson’s Disease Genetics
By Blythe Lloyd onOp-Ed: This article discusses the GP2 Black and African American Connections to Parkinson's Disease (BLAAC PD) study.
Underrepresented Populations in Parkinson’s Genetics Research: Current Landscape and Future Directions
By taliag onReview: This review provides an overview of research involving PD genetics in under-represented populations, setting a baseline to measure future impact. The authors found a significant lack of population diversity in PD research, highlighting the need for more representation. View original preprint.
The IPDGC/GP2 Hackathon – an open science event for training in data science, genomics, and collaboration using Parkinson’s disease data
By taliag onOp-Ed: The authors outline the projects and results arising from the international ‘hackathon’, which was a 3-day collaborative event between the Global Parkinson’s Genetics Program (GP2) and the International Parkinson’s Disease Genomics Consortium (IPDGC).
Diversity in Parkinson’s disease genetics research: current landscape and future directions
By taliag onThis review provides an overview of research involving PD genetics in under-represented populations, setting a baseline to measure future impact. The authors found a significant lack of population diversity in PD research, highlighting the need for more representation. This is a preprint.
Multi-Modality Machine Learning Predicting Parkinson’s Disease
By taliag onPublished: The authors performed automated machine learning on multi-modal data from PPMI and validated in the PDBP dataset. Further, they built networks to identify gene communities specific to PD. The model they built can improve multi-omic predictions of PD and improves disease risk prediction. View original preprint.
Global Parkinson’s Genetics Program – Code
By Blythe Lloyd onA suite of tools used by GP2 to analyze data.
Mapping the Diverse and Inclusive Future of Parkinson’s Disease Genetics and Its Widespread Impact
By Michelle onReview: This review discuss the need for, inclusion of, and barriers to understudied ancestral groups in PD genetics research. They also provide an overview of PD clinical genetics and describe the future of PD genetics through the lens of collaborative initiatives.
GP2: The Global Parkinson’s Genetics Program
By Michelle onOp-Ed: This article summarizes The Global Parkinson’s Genetics Program (GP2) and outlines its mission, path, deliverables, and principles.
GP2 Celebrates the International Day of Women and Girls in Science
By Michelle onThis blog written by Dr. Sara Bandres-Ciga highlights women in science within the GP2 network.
The Components of GP2’s First Data Release
By Michelle onThis blog written by Hampton Leonard, Dr. Mike Nalls, Yeajin Song, and Dan Vitale describes the first data release from GP2.
Applying for GP2 Data Access on the AMP® PD Platform
By Michelle onThis blog written by Justin C. Solle, Claire Wegel, and Dr. Eline Appelmans outlines how to access GP2 on the AMP PD platform.
New PhD trainees increase Asian and Latin American representation in PD research
By Michelle onThis blog written by Sumit Dey introduces the new PhD student trainees in the GP2 Underrepresented Populations PhD program in Asia and Latin America.
Overcoming Challenges to Black and African American Representation in Parkinson’s Research
By Michelle onThis blog written by Jonathan D. Jackson, Marissa Reynolds, and Angie V. Sanchez discusses how to overcome challenges of minority representation in PD research, specifically about in regards to the BLAAC PD study
Understanding Genetic Implications of the Black and African American Connections to Parkinson’s Disease Study (BLAAC PD)
By Michelle onThis blog written by Dr. Sara Bandres-Ciga, Justin C. Solle, Alyssa O’Grady, and Bernadette Siddiqi describes the BLAAC PD study funded by ASAP.
Building Clinical and Genetic Data for GP2 in the Cohort Integration Working Group
By Michelle onThis blog written by Dr. Huw Morris describes how the cohort integration working group within GP2 is working to harmonize clinical data.
Understanding GWAS: Part 2 – Additional Insights and Tips
By Michelle onThis blog written by Hampton Leonard, Dr. Mike Nalls, Yeajin Song, and Dan Vitale provides additional insights into GWAS, as a follow up to the "Understanding GWAS" blog post.
GP2 and AMP PD: Platform Partners for Progress in Parkinson’s Research
By Michelle onThis blog written by Hampton Leonard, Dr. Mike Nalls, Matt Bookman, and Dr. Eline Appelmans discusses the partnership between the two initiatives.
What is Compliance and Why is it Important?
By Michelle onThis blog written by Tatiana Foroud, Alyssa Reimer, Claire Wegel, and Schuyler Fox outlines compliance and its importance, specifically in regards to the GP2 initiative.
Understanding GWAS
By Michelle onThis blog written by Hampton Leonard, Dr. Mike Nalls, Yeajin Song, and Dan Vitale explains GWAS.
