Liver single-nucleus multiome profiling reveals cell-type mechanisms for cardiometabolic traits
Abdalla A AlkhawajaiD, Kevin W. Currin, Hannah J. PerriniD, Swarooparani VadlamudiiD, Amy S. EtheridgeiD, K. Alaine BroadawayiD, Gabrielle Heather CannoniD, Carlton W. AndersoniD, Anne H. Moxley, Alina Cornelia IugaiD, Erin G. SchuetziD, F. InnocentiiD, Terrence S. FureyiD, Karen L. MohlkeiD
Abstract
The liver is a central regulator of cardiometabolic physiology, coordinating processes such as lipid and glucose metabolism, protein synthesis, and detoxification. Genome-wide association studies (GWAS) have identified hundreds of genetic variants associated with cardiometabolic traits, yet their molecular mechanisms in liver cell types remain unclear. Using multiome single-nucleus RNA and ATAC sequencing on liver samples from 39 individuals, we profiled gene expression and chromatin accessibility in 68,398 nuclei across six primary liver cell types. We identified 306,706 accessible chromatin regions, including 70,884 regions undetected in bulk tissue analyses and that predominantly represent less abundant cell types. To identify genetic effects on gene regulation in liver cell types, we mapped quantitative trait loci (QTLs) and detected 1,885 chromatin accessibility QTLs (caQTLs) and 67 expression QTLs (eQTLs). We integrated cell-type QTLs with GWAS signals and revealed cell types, genes, and chromatin regulatory elements involved in cardiometabolic traits, such as liver enzyme and cholesterol levels. Non-hepatocyte cell-type QTL analyses exposed previously obscured mechanisms, such as an eQTL for ADAMTS12 in liver sinusoidal endothelial cells potentially involved in liver fibrosis, demonstrating that single-nucleus approaches can capture regulatory events missed in bulk analyses. Furthermore, we predicted cell type of action for bulk liver caQTLs colocalized with GWAS signals, enhancing mechanistic insights for complex trait associations. Our findings provide a high-resolution map of the hepatic regulatory landscape and advance the understanding of cellular contexts and molecular mechanisms underlying cardiometabolic traits.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 4
- FWCI
- 2.34
- Field percentile
- top 10%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Expanded Chromatin Accessibility Mapping Explains Genetic Variation Associated with Complex Traits in Liver
Brandon M. Wenz, Max F. Dudek, … Benjamin F. Voight·The American Journal of Human GeneticsPeer-reviewed·Feb 1, 2026
- Metabolic disease-relevant stimuli unmask context-dependent genetic regulation of cardiometabolic loci in human adipocytes
Yi Huang, Joaquín Pérez‐Schindler, … Melina Claussnitzer·bioRxiv·Aug 19, 2026
- Population-scale skeletal muscle single-nucleus multi-omic profiling reveals extensive context specific genetic regulation
Arushi Varshney, Nandini Manickam, … Stephen C.J. Parker·bioRxiv·Dec 15, 2023
- The role of liver fat in cardiometabolic diseases is highlighted by genome-wide association study of MRI-derived measures of body composition
Dennis van der Meer, Tiril Pedersen Gurholt, … Ole A. Andreassen·bioRxiv·Feb 24, 2022
- Identification of genes conferring individual-level variation responsible for metabolic dysfunction-associated steatohepatitis using single-cell eQTL analysis
Sung Eun Hong, Seon Ju Mun, … Murim Choi·bioRxiv·Sep 20, 2024
- Genetic regulation of cell type-specific chromatin accessibility shapes immune function and disease risk
Angli Xue, Jianan Fan, … Joseph E. Powell·medRxiv·Aug 27, 2025