Prioritizing Parkinson's disease genes using population-scale transcriptomic data.
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ABSTRACT:
SUBMITTER: Li YI
PROVIDER: S-EPMC6397174 | biostudies-literature | 2019 Mar
REPOSITORIES: biostudies-literature
Publications
Prioritizing Parkinson's disease genes using population-scale transcriptomic data.
Li Yang I YI Wong Garrett G Humphrey Jack J Raj Towfique T
Nature communications 20190301 1
Genome-wide association studies (GWAS) have identified over 41 susceptibility loci associated with Parkinson's Disease (PD) but identifying putative causal genes and the underlying mechanisms remains challenging. Here, we leverage large-scale transcriptomic datasets to prioritize genes that are likely to affect PD by using a transcriptome-wide association study (TWAS) approach. Using this approach, we identify 66 gene associations whose predicted expression or splicing levels in dorsolateral pre ...[more]
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