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Chunk #16 — Methods — Statistical Analysis

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Identification of Candidate Parkinson Disease Genes by Integrating Genome-Wide Association Study, Expression, and Epigenetic Data Sets.
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Data wrangling and analysis were performed using R, version 3.4.3 (R Foundation for Statistical Computing). Coloc analyses were performed using the Coloc package in R. Transcriptome-wide association study analyses were conducted using the TWAS software,26 and WGCNA results were obtained using the R package.23 Cell-type specificity was calculated using in-house R scripts detailed in the Methods. The WPPINA analysis was performed using R, with the results visualized using Cytoscape 3.5.0 software (Cytoscape Consortium) and functional enrichment using g:Profiler.27 The code for analyses performed in this study is available online.28