Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2026
|
| Online Access: | https://doi.org/10.5281/zenodo.19608548 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- <h2>Transcript RNA-seq QTL summary statistics</h2> <p>If you use this dataset, please cite the manuscript in order to fairly acknowledge the contribution of all participating studies and their sponsors.</p> <p> </p> <h3>Study overview</h3> <p>This repository provides access to transcript RNA-seq quantitative trait loci GWAS summary statistics generated in the study:</p> <blockquote> <p><strong>Dissecting the Cellular Genetics of Cardiovascular Disease Through Endothelial and Immune Compartments Profiling<br></strong>Stephen Watt, Matiss Ozols, Arianna Landini, Bin Liu, Sodbo Sharapov, Daniela Zanotti, Gabriela Ivanova, Charles Solomon, Xu Dong Yang, Tolulope Balogun, Nicole Staudt, Wei Li, Fatin Al-Janabi, Tom R. Webb, David G. McVey, Nicholas Morrell, Martin Bennett, Nilesh J. Samani, Stefan Gräf, Shu Ye, Nicola Pirastu, Nicole Soranzo, Mattia Frontini<br>bioRxiv 2025.11.10.687750; doi: <a href="https://doi.org/10.1101/2025.11.10.687750">https://doi.org/10.1101/2025.11.10.687750</a></p> </blockquote> <p>This dataset represents one component of a larger multi-omic resource. See the main Zenodo record for the complete collection: DOI <a href="10.5281/zenodo.19480929">10.5281/zenodo.19480929</a></p> <p> </p> <h3>Files and organisation</h3> <ul> <li><code>README.md</code>: definitions of all columns in the summary statistics files</li> <li><code>RNAseq_transcriptome.tar</code>: archive containing GWAS summary statistics, provided as one gzipped, tab-separated file per autosomal chromosome (22 files total). <ul> <li><code>RNAseq_transcriptome_cis_eQTLs_chr<chromosome>.tsv.gz</code> (e.g. <code>RNAseq_transcriptome_cis_eQTLs_chr1.tsv.gz</code>): each row represents a single variant–trait association, with molecular traits identified by the <code>trait</code> column. Genomic coordinates are based on GRCh38.</li> </ul> </li> </ul>