ArticleNature communications2022
Enhanced cell deconvolution of peripheral blood using DNA methylation for high-resolution immune profiling.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 204 papers, 3 of them syntheses that pooled it.
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Who cites it
204 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Epigenome-wide association study of circulating interleukin-6 connects DNA methylation to immunometabolic and inflammatory health.Communications biology · 2026Pooled 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
- The CALERIE Genomic Data Resource.Nature aging · 2025Trial
- Epigenetic clocks of biological aging and cognitively healthy longevity: the Women's Health Initiative Memory Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Blood cell composition reveals distinct biological interpretation of DNA methylation age and age acceleration.Genome medicine · 2026Article
- Peripheral blood DNA methylation partially reports on immune cell type composition in the frontal brain.Brain, behavior, & immunity - health · 2026Article
- Review
- Integrated metabolomics and DNA methylation signatures and their association with flare remission in SLE.Lupus science & medicine · 2026Article
- Abundance and balance of circulating leukocyte subsets and colorectal cancer survival.British journal of cancer · 2026Article
- A skin-kidney neutrophil axis links ultraviolet exposure to renal angiogenesis and tissue remodeling in healthy and lupus kidneys.Journal of immunology (Baltimore, Md. : 1950) · 2026Article
- Article
- Epigenetic age acceleration and metabolic syndrome among Hispanic/Latino adults: Hispanic Community Health Study/Study of Latinos (HCHS/SOL).International journal of obesity (2005) · 2026Article
- The OmniAge compendium of aging omic biomarkers links mitotic clocks to clonal hematopoiesis and causality.Nature communications · 2026Article
- Blood DNA methylation at AMD candidate loci in discordant monozygotic twins.Scientific reports · 2026Article
- An epigenetic speedometer to measure Pace of Aging: FraminghamPACE.medRxiv : the preprint server for health sciences · 2026Article
- Distinct molecular subgroups in pediatric and young-onset meningiomas require age-adapted risk stratification.Nature communications · 2026Article
- Impact of tobacco smoking on estimated telomere shortening and epigenetic age acceleration among human blood immune cell types.Clinical epigenetics · 2026Article
- Strong concordance of DNA methylation measures between venous and capillary blood - Implications for human epigenome studies.iScience · 2026Article
- A Pathogen Penalty? Associations Between Persistent Infections and Biological Aging in the US.The Journal of infectious diseases · 2026Article
144 more citing papers are in PubMed but not listed here.
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9 authors.
Funding
Abstract
DNA methylation microarrays can be employed to interrogate cell-type composition in complex tissues. Here, we expand reference-based deconvolution of blood DNA methylation to include 12 leukocyte subtypes (neutrophils, eosinophils, basophils, monocytes, naïve and memory B cells, naïve and memory CD4 + and CD8 + T cells, natural killer, and T regulatory cells). Including derived variables, our method provides 56 immune profile variables. The IDOL (IDentifying Optimal Libraries) algorithm was used to identify libraries for deconvolution of DNA methylation data for current and previous platforms. The accuracy of deconvolution estimates obtained using our enhanced libraries was validated using artificial mixtures and whole-blood DNA methylation with known cellular composition from flow cytometry. We applied our libraries to deconvolve cancer, aging, and autoimmune disease datasets. In conclusion, these libraries enable a detailed representation of immune-cell profiles in blood using only DNA and facilitate a standardized, thorough investigation of immune profiles in human health and disease.
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