Prioritizing Parkinson’s disease genes using population-scale transcriptomic data

Yang I. Li; Garrett Wong; Jack Humphrey; Towfique Raj

doi:10.1038/s41467-019-08912-9

Nature Communications (Mar 2019)

Prioritizing Parkinson’s disease genes using population-scale transcriptomic data

Yang I. Li,
Garrett Wong,
Jack Humphrey,
Towfique Raj

Affiliations

Yang I. Li: Section of Genetic Medicine, Department of Medicine, and Department of Human Genetics, University of Chicago
Garrett Wong: Departments of Neuroscience, and Genetics and Genomic Sciences, Ronald M. Loeb Center for Alzheimer’s disease, Icahn School of Medicine at Mount Sinai
Jack Humphrey: UCL Genetics Institute
Towfique Raj: Departments of Neuroscience, and Genetics and Genomic Sciences, Ronald M. Loeb Center for Alzheimer’s disease, Icahn School of Medicine at Mount Sinai

DOI: https://doi.org/10.1038/s41467-019-08912-9
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 10

Abstract

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GWAS have identified over 41 susceptibility loci for Parkinson’s disease (PD). Here, the authors integrate PD GWAS summary statistics with transcriptome data from monocytes and DLFPC tissue in a TWAS approach and find 66 significant associations with PD risk highlighting lysosomal and innate immune functions.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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