Published March 24, 2023
| Version v1
Dataset
Open
Data and analysis result for "A scalable variational approach to characterize pleiotropic components across thousands of human diseases and complex traits using GWAS summary statistics"
Authors/Creators
- 1. University of Southern California
Description
Data set and analysis results from our paper "A scalable variational approach to characterize pleiotropic components across thousands of human diseases and complex traits using GWAS summary statistics" (pre-print). This file contains GWAS summary statistics of 2,483 traits and 51,399 SNP variants from European individuals, originally downloaded and processed from Pan-UK Biobank (https://pan.ukbb.broadinstitute.org/). Additionally, we include results of 100 pleiotropic factors inferred by our method and tSVD as comparison. Please see README for detailed breakdown.
Notes
funded in part by the National Institutes of Health (NIH) under awards P01CA196569, R01HG012133, R01CA258808, R35GM147789 and R00HG010160.