ArticleNature communications2019
Detection of cell-type-specific risk-CpG sites in epigenome-wide association studies.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A cell-type deconvolution meta-analysis of whole blood EWAS reveals lineage-specific smoking-associated DNA methylation changes.Nature communications · 2020Pooled it
- A unified framework for identification of cell-type-specific spatially variable genes in spatial transcriptomic studies.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Detection of cell-type-specific differentially methylated regions in epigenome-wide association studies.Bioinformatics (Oxford, England) · 2025Article
- A systematic evaluation of cell-type-specific differential methylation analysis in bulk tissue.Briefings in bioinformatics · 2025Article
- CeDAR: incorporating cell type hierarchy improves cell type-specific differential analyses in bulk omics data.Genome biology · 2023Article
- Nucleated red blood cells explain most of the association between DNA methylation and gestational age.Communications biology · 2023Article
- MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancer.Nature communications · 2023Article
- A comprehensive assessment of cell type-specific differential expression methods in bulk data.Briefings in bioinformatics · 2023Article
- Article
- A pan-tissue DNA methylation atlas enables in silico decomposition of human tissue methylomes at cell-type resolution.Nature methods · 2022Article
- Cell-type heterogeneity: Why we should adjust for it in epigenome and biomarker studies.Clinical epigenetics · 2022Article
- Testing cell-type-specific mediation effects in genome-wide epigenetic studies.Briefings in bioinformatics · 2021Article
- Cell type-aware analysis of RNA-seq data.Nature computational science · 2021Article
- The Effect of Model Directionality on Cell-Type-Specific Differential DNA Methylation Analysis.Frontiers in bioinformatics · 2021Article
- Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology.Nature communications · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In epigenome-wide association studies, the measured signals for each sample are a mixture of methylation profiles from different cell types. Current approaches to the association detection claim whether a cytosine-phosphate-guanine (CpG) site is associated with the phenotype or not at aggregate level and can suffer from low statistical power. Here, we propose a statistical method, HIgh REsolution (HIRE), which not only improves the power of association detection at aggregate level as compared to the existing methods but also enables the detection of risk-CpG sites for individual cell types.
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