Nature GeneticsGenetic & Genomic MedicinePeer-reviewed journal article
Multi-ancestry genome-wide meta-analysis in Parkinson's disease
Jonggeol Jeffrey KimiD, Dan VitaleiD, Diego Véliz Otani, Michelle Mulan LianiD, Karl HeilbroniD, Stella W. AslibekyaniD, Adam AutoniD, Elizabeth Babalola, Robert K. Bell, Jessica BielenbergiD, Katarzyna BryciD, Emily Bullis, Paul Cannon, Daniella CokeriD, Gabriel Cuéllar-PartidaiD, Devika Dhamija, Sayantan DasiD, Sarah L. ElsoniD, Nicholas ErikssoniD, Teresa Jenica FilshteiniD, Alison Fitch, Kipper Fletez‐BrantiD, Pierre FontanillasiD, Will FreymaniD, Julie M. GrankaiD, , Piu ChaniD
Abstract
Although over 90 independent risk variants have been identified for Parkinsons disease using genome-wide association studies, all studies have been performed in just one population at the time. Here we performed the first large-scale multi-ancestry meta-analysis of Parkinsons 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. In a single joint meta-analysis, we identified 78 independent genome-wide significant loci including 12 potentially novel loci (MTF2, RP11-360P21.2, ADD1, SYBU, IRS2, USP8:RP11-562A8.5, PIGL, FASN, MYLK2, AJ006998.2, Y_RNA, PPP6R2) and finemapped 6 putative causal variants at 6 known PD loci. By combining our results with publicly available eQTL data, we identified 23 genes near these novel loci whose expression is associated with PD risk. This work lays the groundwork for future efforts aimed at identifying PD loci in non-European populations.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 291
- FWCI
- 11.90
- Field percentile
- top 1%
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