ArticleNature biotechnology2015
Large-scale imputation of epigenomic datasets for systematic annotation of diverse human tissues.
Article in Nature biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 226 papers, 4 of them syntheses that pooled it.
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Who cites it
226 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signaling.Nature genetics · 2026Pooled it
- GWAS for systemic sclerosis identifies multiple risk loci and highlights fibrotic and vasculopathy pathways.Nature communications · 2019Pooled it
- Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder.Nature genetics · 2019Pooled it
- Multi-ethnic genome-wide association study for atrial fibrillation.Nature genetics · 2018Pooled it
- Identification of epigenetic memory candidates associated with gestational age at birth through analysis of methylome and transcriptional data.Scientific reports · 2021Trial
- Study of Estrogen Receptor-Mediated PGx-eQTLs Identifies Genetic Determinants of Breast Cancer Endocrine Therapy Response.International journal of molecular sciences · 2026Article
- EpiATLAS - a reference for human epigenomic research.bioRxiv : the preprint server for biology · 2026Article
- Pan-cell type continuous chromatin state annotation of 1,698 epigenomes from the International Human Epigenome Consortium.Genome biology · 2026Article
- Integrated flexible DNA methylation-chromatin segmentation modeling enhances epigenomic state annotation.Nucleic acids research · 2026Article
- Unified imputation of missing data modalities and features in multi-omic data via shared representation learning.bioRxiv : the preprint server for biology · 2026Article
- A single-cell multiomic analysis identifies molecular and gene-regulatory mechanisms dysregulated in developing Down syndrome neocortex.Science (New York, N.Y.) · 2026Article
- Adipose single cell epigenome and transcriptome localize genetic risk for cardiometabolic disease and accelerated aging.Nature communications · 2026Article
- Learning a pairwise epigenomic and transcription factor binding association score across the human genome.Bioinformatics (Oxford, England) · 2026Article
- Chromatin state dynamics during the Plasmodium falciparum intraerythrocytic development cycle.BMC genomics · 2026Article
- Transcriptional rewiring by enhancer methylation in CBFA2T3-GLIS2-driven pediatric acute megakaryoblastic leukemia.Genes & diseases · 2026Article
- mbSparse: an autoencoder-based imputation method to address sparsity in microbiome data.Gut microbes · 2025Article
- Network construction using sparse Gaussian graphical model based on GWAS summary statistics.Scientific reports · 2025Article
- GECSI: Large-scale chromatin state imputation from gene expression.bioRxiv : the preprint server for biology · 2025Article
- Modelling transcription with explainable AI uncovers context-specific epigenetic gene regulation at promoters and gene bodies.PLoS genetics · 2025Article
- Multi-omics based and AI-driven drug repositioning for epigenetic therapy in female malignancies.Journal of translational medicine · 2025Review
166 more citing papers are in PubMed but not listed here.
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2 authors.
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Abstract
With hundreds of epigenomic maps, the opportunity arises to exploit the correlated nature of epigenetic signals, across both marks and samples, for large-scale prediction of additional datasets. Here, we undertake epigenome imputation by leveraging such correlations through an ensemble of regression trees. We impute 4,315 high-resolution signal maps, of which 26% are also experimentally observed. Imputed signal tracks show overall similarity to observed signals and surpass experimental datasets in consistency, recovery of gene annotations and enrichment for disease-associated variants. We use the imputed data to detect low-quality experimental datasets, to find genomic sites with unexpected epigenomic signals, to define high-priority marks for new experiments and to delineate chromatin states in 127 reference epigenomes spanning diverse tissues and cell types. Our imputed datasets provide the most comprehensive human regulatory region annotation to date, and our approach and the ChromImpute software constitute a useful complement to large-scale experimental mapping of epigenomic information.
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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.