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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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