ArticleNature communications2023
Single-cell genomics improves the discovery of risk variants and genes of atrial fibrillation.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 33 citations in OpenAlex.
- Single-cell analysis of chromatin accessibility in the human intestine identifies regulatory programs and clarifies genetic associations in Crohn's disease.Nature genetics · 2026Article
- ATACompass enables cross-species cell identity mapping for scATAC-seq without gene annotations.Cell reports methods · 2026Article
- GPIHBP1 on oligodendrocytes binds lipoprotein lipase within the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Single-cell multi-omic integration analysis prioritizes druggable genes and reveals cell-type-specific causal effects in glioblastomagenesis.Journal of translational medicine · 2026Article
- Gene-gene interactions between a LMNA variant and common polymorphisms drive early-onset atrial fibrillation.Nature communications · 2026Article
- A reduced TBX5-dependent gene regulatory network links atrial fibrillation and heart failure.Nature cardiovascular research · 2026Article
- Remodeling of three-dimensional genome architecture in cardiac development and aging.BMC genomics · 2026Article
- Decoding Vascular Cell Diversity: Single-Cell Approaches to Mechanisms of Vascular Disease.Circulation research · 2026Review
- Leveraging Single-Cell Technologies to Advance Understanding of Myocardial Disease.Circulation research · 2026Review
- Precision medicine and personalized nursing in cardiovascular disease: clinical applications and frontier developments.Frontiers in cardiovascular medicine · 2026Review
- ANGPTL2 and CP define complementary circadian-associated signals in atrial fibrillation: integrative transcriptomics and external validation.Frontiers in cell and developmental biology · 2026Article
- PITX2 dosage-dependent changes in pacemaker cell state underlie sinus node dysfunction and atrial arrhythmias.Nature communications · 2025Article
- Anthracyclines induce global changes in cardiomyocyte chromatin accessibility that overlap with cardiovascular disease loci.PLoS genetics · 2025Article
- scExploreR: a flexible platform for democratized analysis of multimodal single-cell data by non-programmers.bioRxiv : the preprint server for biology · 2025Article
- Integration of functional genomics and statistical fine-mapping systematically characterizes adult-onset and childhood-onset asthma genetic associations.Genome medicine · 2025Article
- SC-VAR: a computational tool for interpreting polygenic disease risks using single-cell epigenomic data.Briefings in bioinformatics · 2025Article
- Inflammatory and fibrotic signaling pathways mediated by cardiac macrophages in atrial fibrillation.Frontiers in cardiovascular medicine · 2025Review
- Genetic predisposition to immune dysregulation and extracellular matrix remodeling in cardiac arrhythmia reveals potential mediation byFrontiers in cell and developmental biology · 2025Article
- Beyond the Heartbeat: Single-Cell Omics Redefining Cardiovascular Research.Current cardiology reports · 2024Review
- Atrial fibrillation variant-to-gene prioritization through cross-ancestry eQTL and single-nucleus multiomic analyses.iScience · 2024Article
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
Genome-wide association studies (GWAS) have linked hundreds of loci to cardiac diseases. However, in most loci the causal variants and their target genes remain unknown. We developed a combined experimental and analytical approach that integrates single cell epigenomics with GWAS to prioritize risk variants and genes. We profiled accessible chromatin in single cells obtained from human hearts and leveraged the data to study genetics of Atrial Fibrillation (AF), the most common cardiac arrhythmia. Enrichment analysis of AF risk variants using cell-type-resolved open chromatin regions (OCRs) implicated cardiomyocytes as the main mediator of AF risk. We then performed statistical fine-mapping, leveraging the information in OCRs, and identified putative causal variants in 122 AF-associated loci. Taking advantage of the fine-mapping results, our novel statistical procedure for gene discovery prioritized 46 high-confidence risk genes, highlighting transcription factors and signal transduction pathways important for heart development. In summary, our analysis provides a comprehensive map of AF risk variants and genes, and a general framework to integrate single-cell genomics with genetic studies of complex traits.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.