Liver and Blood Expression Prediction Generated for Opportunities and challenges for transcriptome-wide association studies
<p>db files are in sqlite format and contain weights to calculate genetic predictors of gene expression</p> <p>Blood, Liver indicate the tissue where the RNA was extracted from</p> <p>Crohns and LDL indicate that prediction models were generated using SNPs available in the GWAS summary results used in the paper (Wainberg et al <a href="https://doi.org/10.1038/s41588-019-0385-z">https://doi.org/10.1038/s41588-019-0385-z</a>)</p> <p>*txt.gz filex contain covariances between SNPs needed to run the summary version of PrediXcan or other TWAS methods</p> <p>Information about the RNAseq data can be found here https://pubmed.ncbi.nlm.nih.gov/27540175/</p> <p>Sample size n=522</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0