Liver single-nucleus multiome profiling reveals cell-type mechanisms for cardiometabolic traits

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Abdalla A Alkhawaja, Kevin W. Currin, Terry Furey, Karen L. Mohlke
DOI: 10.5281/zenodo.18944876
Cited by: 0

Abstract

Summary statistics for the cell‑type eQTLs and caQTLs of the study at American Journal of Human Genetics. Description of files: 1. caQTL_summaryStatistics_WASP_Hepatocytes.tar.gz caQTL summary statistics for Hepatocytes peaks with a significant caQTL (caPeaks). While we tested 1k variants around the peak center, we report the summary statistics of 1 million variants to allow for signal comparison with other QTL data. 2. eQTL_summaryStatistics_noWASP_allCellTypes.tar.gz eQTL summary statistics for all tested genes per cell-type. The tar archive contains files separated by cell type.

Fields of Study & Subjects

Genetic Associations and Epidemiology Genomics and Chromatin Dynamics Single-cell and spatial transcriptomics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 January 2026
Language
EN
Document type
Dataset