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

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BORIS DOI
10.48350/191109
Date of Publication
January 2024
Publication Type
Article
Contributor
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
Subject(s)

600 - Technology::610...

Series
Nature genetics
ISSN or ISBN (if monograph)
1546-1718
Publisher
Springer Nature
Language
English
Publisher DOI
10.1038/s41588-023-01584-8
PubMed ID
38155330
Description
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.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/172993
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s41588-023-01584-8.pdftextAdobe PDF4.91 MBAttribution (CC BY 4.0)publishedOpen
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