ArticleEpigenetics2014
Leukocyte-adjusted epigenome-wide association studies of blood from solid tumor patients.
Article in Epigenetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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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
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis of immune-cell fractions at high resolution reveals novel associations with common phenotypes and health outcomes.Genome medicine · 2023Pooled it
- Insulin-like growth factor 2 hypermethylation in peripheral blood leukocytes and colorectal cancer risk and prognosis: a propensity score analysis.Frontiers in oncology · 2023Article
- Identification of differential DNA methylation alterations of ovarian cancer in peripheral whole blood based on within-sample relative methylation orderings.Epigenetics · 2022Article
- The association betweenFrontiers in cardiovascular medicine · 2022Article
- DNA Methylation in Ovarian Cancer Susceptibility.Cancers · 2020Review
- A comparative analysis of cell-type adjustment methods for epigenome-wide association studies based on simulated and real data sets.Briefings in bioinformatics · 2019Review
- Epigenome-based cancer risk prediction: rationale, opportunities and challenges.Nature reviews. Clinical oncology · 2018Review
- Review
- Possible Mediation by Methylation in Acute Inflammation Following Personal Exposure to Fine Particulate Air Pollution.American journal of epidemiology · 2018Article
- Statistical and integrative system-level analysis of DNA methylation data.Nature reviews. Genetics · 2018Review
- The signature of liver cancer in immune cells DNA methylation.Clinical epigenetics · 2018Article
- Epigenome-wide differential DNA methylation between HIV-infected and uninfected individuals.Epigenetics · 2016Article
- Cell type specific DNA methylation in cord blood: A 450K-reference data set and cell count-based validation of estimated cell type composition.Epigenetics · 2016Article
- Integrative DNA methylome analysis of pan-cancer biomarkers in cancer discordant monozygotic twin-pairs.Clinical epigenetics · 2016Article
- Cell-composition effects in the analysis of DNA methylation array data: a mathematical perspective.BMC bioinformatics · 2015Article
- An integrative multi-scale analysis of the dynamic DNA methylation landscape in aging.PLoS genetics · 2015Article
- Genome-wide blood DNA methylation alterations at regulatory elements and heterochromatic regions in monozygotic twins discordant for obesity and liver fat.Clinical epigenetics · 2015Article
- Aberrant DNA methylation of blood in schizophrenia by adjusting for estimated cellular proportions.Neuromolecular medicine · 2014Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Epigenome-wide studies of DNA methylation using blood-derived DNA from cancer patients are complicated by the heterogeneity of cell types within blood and the associated cell lineage specification of DNA methylation signatures. Here, we applied a novel set of analytic approaches to assess the association between cancer case-status and DNA methylation adjusted for leukocyte variation using blood specimens from three case-control cancer studies (bladder: 223 cases, 205 controls; head and neck: 92 cases, 92 controls; and ovarian: 131 cases, 274 controls). Using previously published data on leukocyte-specific CpG loci and a recently described approach to deconvolute subject-specific blood composition, we performed an epigenome-wide analysis to examine the association between blood-based DNA methylation patterns and each of the three aforementioned solid tumor types adjusted for cellular heterogeneity in blood. After adjusting for leukocyte profile in our epigenome-wide analysis, the omnibus association between case-status and methylation was significant for all three studies (bladder cancer: P = 0.047; HNSCC: P = 0.013; ovarian cancer: P = 0.0002). Subsequent analyses revealed that CpG sites associated with cancer were enriched for transcription factor binding motifs involved with cancer-associated pathways. These results support the existence of cancer-associated DNA methylation profiles in the blood of solid tumor patients that are independent of alterations in normal leukocyte distributions. Adoption of the methods developed here will make it feasible to rigorously assess the influence of variability of normal leukocyte profiles when investigating cancer related changes in blood-based epigenome-wide association studies.
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