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

Authors
 Jonggeol Jeffrey Kim  ;  Dan Vitale  ;  Diego Véliz Otani  ;  Michelle Mulan Lian  ;  Karl Heilbron  ;  23andMe Research Team  ;  Hirotaka Iwaki  ;  Julie Lake  ;  Caroline Warly Solsberg  ;  Hampton Leonard  ;  Mary B Makarious  ;  Eng-King Tan  ;  Andrew B Singleton  ;  Sara Bandres-Ciga  ;  Alastair J Noyce  ;  Global Parkinson’s Genetics Program (GP2)  ;  Cornelis Blauwendraat  ;  Mike A Nalls  ;  Jia Nee Foo  ;  Ignacio Mata 
Citation
 NATURE GENETICS, Vol.56 : 27-36, 2024-01 
Journal Title
NATURE GENETICS
ISSN
 1061-4036 
Issue Date
2024-01
MeSH
Genetic Predisposition to Disease ; Genome-Wide Association Study* / methods ; Humans ; Parkinson Disease* / genetics ; Polymorphism, Single Nucleotide / genetics ; Ubiquitin Thiolesterase / 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.
Files in This Item:
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DOI
10.1038/s41588-023-01584-8
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Yun Joong(김윤중) ORCID logo https://orcid.org/0000-0002-2956-1552
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/201850
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