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GP2code/GP2-AFR-AAC-metaGWAS

Domain:

healthcare

Record type:

dataset
Creator:
GP2
Host:
All materials for "Genome-wide Association Identifies Novel Etiological Insights Associated with Parkinson’s Disease in African and African Admixed Populations" # Insights Into Parkinson's Disease Genetics in African Populations ## Expanded GWAS Identifies Ancestry-Specific and Cross-Population Risk Loci `GP2 ❤️ Open Science 😍` **Last Updated:** March 2026 ------------------------------------------------------------------------ ## Overview This repository accompanies the manuscript: **"Insights Into Parkinson's Disease Genetics in African Populations: Expanded GWAS Identifies Ancestry-Specific and Cross-Population Risk Loci"** This study represents the argest genome-wide association study (GWAS) of Parkinson's disease (PD) in African (AFR) and African-admixed (AAC) populations to date. We integrated individual-level genotype data from the Global Parkinson's Genetics Program (GP2; release 11) with summary statistics from 23andMe and the Million Veterans Program (MVP) to better characterize the genetic architecture of PD in underrepresented populations. ### Summary * Integrated GP2, 23andMe, and Million Veterans Program data (3,975 cases, 319,883 controls), conducting separate and combined GWAS in African and African admixed ancestry populations prior to meta-analysis * Key findings confirm and extend known risk loci: * GBA1 (rs3115534) was the top signal across all analyses * SNCA and SCARB2 replicated as trans-ancestry loci * a novel LRRK2 coding variant (p.T1410M) reached genome-wide significance in AFR populations for the first time, alongside two additional novel loci. ### Citation If you use this repository or find it helpful for your research, please cite the corresponding manuscript: > **Insights Into Parkinson's Disease Genetics in African Populations: Expanded GWAS Identifies Ancestry-Specific and Cross-Population Risk Loci** > > by Okubadejo et al., Global Parkinson's Genetics Program (GP2) > > medRxiv 2026; DOI: xx ------------------------------------------------------------------------ ## Important Note About the 2023 Paper If you are looking for the original analyses corresponding to: > *Rizig e …

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