ArticleGenome research2025
Genetic effects on chromatin accessibility uncover mechanisms of liver gene regulation and quantitative traits.
Article in Genome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Multi-tissue analyses of allele-specific chromatin accessibility nominate likely functional variants for type 2 diabetes.medRxiv : the preprint server for health sciences · 2026Article
- A meta-analysis of chromatin-associated loci provides insights into mechanistic interpretations of trait heritability.bioRxiv : the preprint server for biology · 2026Article
- Expanded chromatin accessibility mapping explains genetic variation associated with complex traits in liver.American journal of human genetics · 2026Article
- Liver single-nucleus multiome profiling reveals cell-type mechanisms for cardiometabolic traits.American journal of human genetics · 2026Article
- Harnessing mesenchymal stromal cells for liver disease therapy: from mechanistic discoveries to clinical breakthroughs.Frontiers in medicine · 2025Review
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Authors and funding
19 authors.
Funding
Abstract
Chromatin accessibility quantitative trait locus (caQTL) studies have identified regulatory elements that underlie genetic effects on gene expression and metabolic traits. However, caQTL discovery has been limited by small sample sizes. Here, we map caQTLs in liver tissue from 138 human donors and identify caQTLs for 35,361 regulatory elements, including population-specific caQTLs driven by differences in allele frequency across populations. We identify 2126 genetic signals associated with multiple, presumably coordinately regulated elements. Coordinately regulated elements link distal elements to target genes and are more likely to be associated with gene expression compared with single-element caQTLs. We predict driver and response elements at coordinated loci and find that driver elements are enriched for transcription factor binding sites of key liver regulators. We identify colocalized caQTLs at 667 genome-wide association (GWAS) signals for metabolic and liver traits, and annotate these loci with predicted target genes and disrupted transcription factor binding sites. CaQTLs identify threefold more GWAS colocalizations than liver expression QTLs (eQTLs) in a larger sample size, suggesting that caQTLs can detect mechanisms missed by eQTLs. At a GWAS signal colocalized with a caQTL and an eQTL for
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