Evaluating the performance of polygenic risk profiling across diverse ancestry populations in Parkinson’s disease

By Paula Saffie Awad, Inas Elasyed, Arinola O. Sanyaolu, Peter Wild Crea, Artur Francisco Shumacher-Schuh, Kristin S Levine, Dan Vitale, Mathew J Koretsky, Jeffrey Kim, Thiago Peixoto Leal, Sumit Dey, Alastair J Noyce, Armando Palomares Reyes, Noela Rodriguez-Losada, Jia Nee Foo, Wael Mohamed, Karl Heilbron, Lucy Norcliffe-Kaufmann, 23andMe Research Team, Mie Rizig, Njideka Okubadejo, Mike Nalls, Cornelis Blauwendraat, PhD, Andrew Singleton, PhD, Hampton Leonard, Mary B Makarious, Ignacio Mata and Sara Bandres-Ciga
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Output Details

Description
Objective This study aims to address disparities in risk prediction by evaluating the performance of polygenic risk score (PRS) models using the 90 risk variants across 78 independent loci previously linked to Parkinson’s disease (PD) risk across seven diverse ancestry populations.
Program
Global Parkinson's Genetics Program

Meet the Authors

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    Paula Saffie Awad

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    Inas Elasyed

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    Arinola O. Sanyaolu

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    Peter Wild Crea

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    Artur Francisco Shumacher-Schuh

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    Kristin S Levine

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    Dan Vitale

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    Mathew J Koretsky

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    Jeffrey Kim

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    Thiago Peixoto Leal

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    Sumit Dey

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    Alastair J Noyce

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    Armando Palomares Reyes

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    Noela Rodriguez-Losada

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    Jia Nee Foo

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    Wael Mohamed

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    Karl Heilbron

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    Lucy Norcliffe-Kaufmann

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    23andMe Research Team

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    Mie Rizig

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    Njideka Okubadejo

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    Mike Nalls

  • Cornelis Blauwendraat, PhD

    Coalition for Aligning Science

  • Andrew Singleton, PhD

    Global Parkinson's Genetics Program

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    Hampton Leonard

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    Mary B Makarious

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    Ignacio Mata

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    Sara Bandres-Ciga

Aligning Science Across Parkinson's
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