ArticleEpigenetics2016
Cell type specific DNA methylation in cord blood: A 450K-reference data set and cell count-based validation of estimated cell type composition.
Article in Epigenetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 9 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
61 citing papers in PubMed, 9 syntheses or guidelines pooled it, 109 citations in OpenAlex.
- Childhood internalising symptoms at ages 3 and 6: a meta-analysis of epigenome-wide associations from cord and peripheral blood.Journal of child psychology and psychiatry, and allied disciplines · 2026Pooled it
- Accelerated epigenetic age at birth and child emotional and behavioura development in early childhood: a meta-analysis of four prospective cohort studies in ECHO.Epigenetics · 2023Pooled it
- Maternal caffeine consumption during pregnancy and offspring cord blood DNA methylation: an epigenome-wide association study meta-analysis.Epigenomics · 2023Pooled it
- Cord blood epigenome-wide meta-analysis in six European-based child cohorts identifies signatures linked to rapid weight growth.BMC medicine · 2023Pooled it
- Prenatal medication exposure and epigenetic outcomes: a systematic literature review and recommendations for prenatal pharmacoepigenetic studies.Epigenetics · 2022Pooled it
- DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies.Genome medicine · 2020Pooled it
- DNA methylation studies of depression with onset in the peripartum: A critical systematic review.Neuroscience and biobehavioral reviews · 2019Pooled it
- Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight.Nature communications · 2019Pooled it
- Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: findings from the pregnancy and childhood epigenetics (PACE) consortium.Human molecular genetics · 2017Pooled it
- Acute capillary blood DNA methylation responses to swimming exercise in high-performance male and female swimmers.Experimental physiology · 2026Article
- Genomic interplay between deployment exposures and Gulf War illness in Million Veteran Program participants.Human genomics · 2026Article
- Cord blood DNA methylation and cell-type composition are not significantly associated with severe preeclampsia after cell-type and clinical covariate adjustment.GigaScience · 2026Article
- DNA methylation as a biomarker of prenatal exposures: current challenges and opportunities.Environmental epigenetics · 2026Review
- Impact of a prenatal exposure mixture of metals on DNA methylation-derived cell-type composition in cord blood.Environmental epigenetics · 2026Article
- Associations of DNA methylation estimators of protein abundance with concurrent and future physical health risk factors.Scientific reports · 2025Article
- Newborn mitochondrial DNA copy number is associated with changes to DNA methylation that persist into childhood and are associated with cognitive development.Clinical epigenetics · 2025Article
- Cell type proportions rather than DNA methylation in the cord blood show significant associations with severe preeclampsia.medRxiv : the preprint server for health sciences · 2025Article
- Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age.Genome medicine · 2025Article
- Prenatal cannabis exposure is associated with alterations in offspring DNA methylation at genes involved in neurodevelopment, across the life course.Molecular psychiatry · 2025Article
- Constitutional Epimutations: From Rare Events Toward Major Cancer Risk Factors?JCO precision oncology · 2025Review
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epigenome-wide association studies of prenatal exposure to different environmental factors are becoming increasingly common. These studies are usually performed in umbilical cord blood. Since blood comprises multiple cell types with specific DNA methylation patterns, confounding caused by cellular heterogeneity is a major concern. This can be adjusted for using reference data consisting of DNA methylation signatures in cell types isolated from blood. However, the most commonly used reference data set is based on blood samples from adult males and is not representative of the cell type composition in neonatal cord blood. The aim of this study was to generate a reference data set from cord blood to enable correct adjustment of the cell type composition in samples collected at birth. The purity of the isolated cell types was very high for all samples (>97.1%), and clustering analyses showed distinct grouping of the cell types according to hematopoietic lineage. We explored whether this cord blood and the adult peripheral blood reference data sets impact the estimation of cell type composition in cord blood samples from an independent birth cohort (MoBa, n = 1092). This revealed significant differences for all cell types. Importantly, comparison of the cell type estimates against matched cell counts both in the cord blood reference samples (n = 11) and in another independent birth cohort (Generation R, n = 195), demonstrated moderate to high correlation of the data. This is the first cord blood reference data set with a comprehensive examination of the downstream application of the data through validation of estimated cell types against matched cell counts.
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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.