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Multi-ancestry genome-wide association meta-analysis of Parkinson’s disease

Jonggeol Jeffrey Kim, Dan Vitale, Diego Véliz Otani, Michelle Mulan Lian, Karl Heilbron, Stella Aslibekyan, Adam Auton, Elizabeth Babalola, Robert K. Bell, Jessica Bielenberg, Katarzyna Bryc, Emily Bullis, Paul Cannon, Daniella Coker, Gabriel Cuéllar-Partida, Devika Dhamija, Sayantan Das, Sarah L. Elson, Nicholas Eriksson, Teresa Filshtein, Alison Fitch, Kipper Fletez‐Brant, Pierre Fontanillas, Will Freyman, Julie M. Granka, Alejandro Hernandez, Barry Hicks, David A. Hinds, Ethan M. Jewett, Yunxuan Jiang, Katelyn Kukar, Alan Kwong, Keng‐Han Lin, Bianca A. Llamas, Maya Lowe, Jey C. McCreight, Matthew H. McIntyre, Steven J. Micheletti, Meghan E. Moreno, Priyanka Nandakumar, Dominique T. Nguyen, Elizabeth S. Noblin, Jared O’Connell, Aaron A. Petrakovitz, G. David Poznik, Alexandra Reynoso, Madeleine Schloetter, Morgan Schumacher, Anjali J. Shastri, Janie F. Shelton, Jingchunzi Shi, Suyash Shringarpure, Qiaojuan Jane Su, Susana A. Tat, Christophe Toukam Tchakouté, Vinh Tran, Joyce Y. Tung, Xin Wang, Wei Wang, Catherine H. Weldon, Peter Wilton, Corinna D. Wong, Hirotaka Iwaki, Julie Lake, Caroline Warly Solsberg, Hampton L. Leonard, Mary B. Makarious, Eng‐King Tan, Andrew Singleton, Sara Bandrés‐Ciga, Alastair J. Noyce, the Global Parkinson’s Genetics Program (GP2), Emilia Gatto, Marcelo Kauffman, Samson Khachatryan, Zaruhi Tavadyan, Claire E. Shepherd, Julie Hunter, Kishore R. Kumar, Melina Ellis, Miguel E. Rentería, Sulev Kõks, Alexander Zimprich, Artur Francisco Schumacher Schuh, Carlos Roberto de Mello Rieder, Paula Saffie Awad, Vítor Tumas, Sarah Camargos, Edward A. Fon, Oury Monchi, Ted Fon, Benjamin Pizarro Galleguillos, Marcelo Miranda, M. Leonor Bustamante, Patricio Olguı́n, Pedro Chaná, Beisha Tang, Huifang Shang, Jifeng Guo, Piu Chan

2023Nature Genetics259 citationsDOIOpen Access PDF

Abstract

Although over 90 independent risk variants have been identified for Parkinson's disease using genome-wide association studies, most studies have been performed in just one population at a time. Here we performed a 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. In a meta-analysis, we identified 78 independent genome-wide significant loci, including 12 potentially novel loci (MTF2, PIK3CA, ADD1, SYBU, IRS2, USP8, PIGL, FASN, MYLK2, USP25, EP300 and PPP6R2) and fine-mapped 6 putative causal variants at 6 known PD loci. By combining our results with publicly available eQTL data, we identified 25 putative risk genes in 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.

Topics & Concepts

BiologyGenome-wide association studyGenetic associationExpression quantitative trait lociGeneticsMeta-analysisDiseasePopulationGenomeImputation (statistics)1000 Genomes ProjectSingle-nucleotide polymorphismGeneGenotypeMissing dataMedicineInternal medicineEnvironmental healthMachine learningComputer scienceParkinson's Disease Mechanisms and TreatmentsGenetic Associations and EpidemiologyNeurological diseases and metabolism
Multi-ancestry genome-wide association meta-analysis of Parkinson’s disease | Litcius