Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/176214
Title: Multi-ancestry genome-wide association meta-analysis of Parkinson's disease
Authors: Kim, Jonggeol Jeffrey
Vitale, Dan
Otani, Diego Véliz
Lian, Michelle Mulan
Heilbron, Karl
Iwaki, Hirotaka
Lake, Julie
Solsberg, Caroline Warly
Leonard, Hampton
Makarious, Mary B.
Tan, Eng-King
Singleton, Andrew B.
Bandres-Ciga, Sara
Noyce, Alastair J.
Blauwendraat, Cornelis
Nalls, Mike A.
Foo, Jia Nee
Mata, Ignacio
Keywords: Medicine, Health and Life Sciences
Issue Date: 2024
Source: Kim, J. J., Vitale, D., Otani, D. V., Lian, M. M., Heilbron, K., Iwaki, H., Lake, J., Solsberg, C. W., Leonard, H., Makarious, M. B., Tan, E., Singleton, A. B., Bandres-Ciga, S., Noyce, A. J., Blauwendraat, C., Nalls, M. A., Foo, J. N. & Mata, I. (2024). Multi-ancestry genome-wide association meta-analysis of Parkinson's disease. Nature Genetics, 56(1), 27-36. https://dx.doi.org/10.1038/s41588-023-01584-8
Project: MOH-000207 
MOH-000559 
MOE-T2EP30220-0005 
MOE-MOET32020-0004 
Journal: Nature Genetics 
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. National Medical Research Council Singapore (Open Fund Large Collaborative Grant MOH-000207 to E.-K.T.) (Open Fund Individual Research Grant MOH-000559 to J.N.F.); and Singapore Ministry of Education Academic Research Fund (Tier 2 MOE-T2EP30220-0005 and Tier 3 MOE-MOET32020-0004 to J.N.F.). P
URI: https://hdl.handle.net/10356/176214
ISSN: 1061-4036
DOI: 10.1038/s41588-023-01584-8
Schools: Lee Kong Chian School of Medicine (LKCMedicine) 
Organisations: Genome Institute of Singapore, A*STAR 
Rights: Open Access - This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles

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