Regionalpcs ROSMAP GWAS Integration
收藏资源简介：
This archive contains the GWAS integration results for the study: "regionalpcs improve discovery of DNA methylation associations with complex traits" Tiffany Eulalio*1, Min Woo Sun1, Olivier Gevaert1, Michael D. Greicius2, Thomas J. Montine3, Daniel Nachun*‡3, Stephen B. Montgomery*‡1,3 ‡ These authors contributed equally as senior authors * Corresponding authors: Tiffany Eulalio (eulalio@alumn.stanford.edu), Daniel Nachun (dnachun@stanford.edu), Stephen B. Montgomery (smontgom@stanford.edu) Author affiliations: 1. Department of Biomedical Data Science, Stanford University, Stanford, CA 2. Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA 3. Department of Pathology, Stanford University, Stanford, CA Dataset description: The GWAS integration includes colocalization and PTWAS analyses, organized within subdirectories in the main tar file. Colocalization results: These include the output from FastENLOC for each cell type (astrocytes, endothelial cells, neurons, oligodendrocytes/OPCs and bulk) across different region types (full gene, gene body, preTSS, and promoters). Results are provided separately for averages (avgs) and regionalpcs (pcs). PTWAS results: PTWAS output is similarly organized by cell types, region type, and summary types, providing output from the PTWAS method.
