CONTENT -- Multi-context genetic modeling TWAS summary statistics
Thompson, Mike, Mary Grace Gordon, Andrew C. Lu, Eran Halperin, Alexander Gusev, Chun Ye, Brunilda Balliu, Noah Zaitlen · Zenodo (CERN European Organization for Nuclear Research) · 2021
We provide the summary statistics of running CONTENT, the context-by-context approach, and UTMOST on over 22 phenotypes. The phenotypes are listed in the manuscript, and their respective studies and sample size can be found in a table under the supplementary section of the manuscript. All 3 methods were trained on GTEx v7 as well as CLUES, a single-cell RNA sequencing dataset of PBMCs. The data include the gene name, model, cross-validated R^2, prediction pvalue, TWAS p value, TWAS Z score, and a column titled "hFDR" indicating whether the association was statistically significant while employing hierarchical FDR. The benefits of employing such an approach for all methods can be found in the manuscript.