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Multi-ancestry genome-wide meta-analysis in Parkinson’s disease

Output Details

Preprint April 19, 2023

Published December 28, 2023

Although over 90 independent risk variants have been identified for Parkinson’s disease using genome-wide association studies, all studies have been performed in just one population at the time. Here we performed the first 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 single joint meta-analysis, we identified 78 independent genome-wide significant loci including 12 potentially novel loci (MTF2, RP11-360P21.2, ADD1, SYBU, IRS2, USP8:RP11-562A8.5, PIGL, FASN, MYLK2, AJ006998.2, Y_RNA, PPP6R2) and finemapped 6 putative causal variants at 6 known PD loci. By combining our results with publicly available eQTL data, we identified 23 genes near 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.
Tags
  • Original Research

Meet the Authors

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    Jonggeol Jeff Kim

    External Collaborator

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    Dan Vitale

    External Collaborator

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    Diego Veliz Otani

    External Collaborator

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    Michelle Lian

    External Collaborator

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    Karl Heilbron

    External Collaborator

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    23andMe Research Team

    External Collaborator

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    Hirotaka Iwaki

    External Collaborator

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    Julie Lake

    External Collaborator

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    Caroline Warly Solsberg

    External Collaborator

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    Hamptom Leonard

    External Collaborator

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    Mary B Makarious

    External Collaborator

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    Eng King Tan

    External Collaborator

  • Andrew Singleton, PhD

    Global Parkinson's Genetics Program

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    Sara Bandres-Ciga

    External Collaborator

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    Alastair J Noyce

    External Collaborator

  • Cornelis Blauwendraat, PhD

    Coalition for Aligning Science

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    Mike Nalls

    External Collaborator

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    Jia Nee Foo

    External Collaborator

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    Ignacio Mata

    External Collaborator

Aligning Science Across Parkinson's
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