Last updated: 2018-07-02

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Overview

This is my online notebook to document and share the full results of genome-wide enrichment analyses described in the manuscript:

Xiang Zhu and Matthew Stephens (2017). A large-scale genome-wide enrichment analysis identifies new trait-associated genes, pathways and tissues across 31 human phenotypes. bioRxiv. https://doi.org/10.1101/160770.

The software that was used to generate these results is available at https://github.com/stephenslab/rss/tree/master/src_vb. Here is an example illustrating how to use this software to perform genome-wide enrichment analyses of GWAS summary statistics.

If you find results shown in this notebook and/or methods implemented in the software useful for your work, please cite the manuscript listed above, Zhu and Stephens (2017).

If you have any question about this notebook or the software, please feel free to contact me: Xiang Zhu, xiangzhu@uchicago.edu or xiangzhu@stanford.edu.

Additional resources

Where can I find “baseline” model fitting results of all 31 traits?

Where can I find “Round 1” results of all 3913 pathways?

Where can I find the gene prioritization results?

This reproducible R Markdown analysis was created with workflowr 1.0.1