SynthesisNature communications2020
A cell-type deconvolution meta-analysis of whole blood EWAS reveals lineage-specific smoking-associated DNA methylation changes.
Synthesis in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.
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Who cites it
41 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Computationally inferred cell-type specific epigenome-wide DNA methylation analysis unveils distinct methylation patterns among immune cells for HIV infection in three cohorts.PLoS pathogens · 2024Pooled it
- A meta-analysis of immune-cell fractions at high resolution reveals novel associations with common phenotypes and health outcomes.Genome medicine · 2023Pooled it
- Robust meta-analysis for large-scale genomic experiments based on an empirical approach.BMC medical research methodology · 2022Pooled it
- The OmniAge compendium of aging omic biomarkers links mitotic clocks to clonal hematopoiesis and causality.Nature communications · 2026Article
- Population epigenetics: deciphering DNA methylation diversity and its implications for health, disease, and evolution.Molecular biology and evolution · 2026Review
- Smoking drives an epigenetic memory of aberrant hematopoiesis.medRxiv : the preprint server for health sciences · 2026Article
- Guidelines on optimizing DNA methylation reference panels for cell-type deconvolution.Communications biology · 2026Article
- Meta-analysis of clinical efficacy and safety of decitabine combined with CAG regimen in the treatment of acute myeloid leukemia in the elderly.Leukemia research reports · 2026Article
- Article
- Variations in Innate Immune Cell Subtypes Correlate with Epigenetic Clocks, Inflammaging and Health Outcomes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Heterogeneity of thymic output in the elderly and its association with sex and smoking.JCI insight · 2025Article
- Epigenetic clocks and inflammaging: pitfalls caused by ignoring cell-type heterogeneity.GeroScience · 2025Article
- Review
- Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age.Genome medicine · 2025Article
- CMImpute: cross-species and tissue imputation of species-level DNA methylation samples across mammalian species.Genome biology · 2025Article
- Cell-type-specific subtyping of epigenomes improves prognostic stratification of cancer.Genome medicine · 2025Article
- Galactin-8 DNA methylation mediates macrophage autophagy through the MAPK/mTOR pathway to alleviate atherosclerosis.Scientific reports · 2025Article
- EpipwR: efficient power analysis for EWAS with continuous outcomes.Bioinformatics advances · 2025Article
- AI applications in HIV research: advances and future directions.Frontiers in microbiology · 2025Review
- Cell-type specific epigenetic clocks to quantify biological age at cell-type resolution.Aging · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Highly reproducible smoking-associated DNA methylation changes in whole blood have been reported by many Epigenome-Wide-Association Studies (EWAS). These epigenetic alterations could have important implications for understanding and predicting the risk of smoking-related diseases. To this end, it is important to establish if these DNA methylation changes happen in all blood cell subtypes or if they are cell-type specific. Here, we apply a cell-type deconvolution algorithm to identify cell-type specific DNA methylation signals in seven large EWAS. We find that most of the highly reproducible smoking-associated hypomethylation signatures are more prominent in the myeloid lineage. A meta-analysis further identifies a myeloid-specific smoking-associated hypermethylation signature enriched for DNase Hypersensitive Sites in acute myeloid leukemia. These results may guide the design of future smoking EWAS and have important implications for our understanding of how smoking affects immune-cell subtypes and how this may influence the risk of smoking related diseases.
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