Data from: Impact of rare and common genetic variation on cell type-specific gene expression in human blood
Abstract
This dataset contains the association summary statistics for the common and rare variant single-cell expression quantitative trait (eQTL) analysis of TenK10K Phase 1 (https://www.medrxiv.org/content/10.1101/2025.03.20.25324352v1). Briefly, the files included are as follows: common_variant_gene_level_results_with_annotated_fails.zip: gene-level results (top variant only) for common variant (MAF>=1%) cis eQTL mapping with a +/- 100kb window (one file for each of the 28 immune cell types assessed) - genes for which there wasn't a convergence issue and could not be assessed are annotated as such at the end of each file common_all_cis_pvalues_100kb.zip: full summary statistics for common variant cis eQTL mapping with a +/- 100kb window (one file for each of the 28 immune cell types assessed) partt{1-7}_common_all_cis_pvalues_1Mb.zip: full summary statistics for common variant cis eQTL mapping with a +/- 1Mb window (one file for each of the 28 immune cell types assessed; split across 7 zipped folders because of size) rare_variant_gene_level_results.zip: rare variant gene-level results, including SKAT and burden test results with three sets of weights when testing for the effects of all rare (MAF
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 30 January 2026
- Document type
- Dataset