ReviewHuman molecular genetics2014
Grasping nettles: cellular heterogeneity and other confounders in epigenome-wide association studies.
Review in Human molecular genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed.
- Article
- Calculating detection limits and uncertainty of reference-based deconvolution of whole-blood DNA methylation data.Epigenomics · 2023Article
- epialleleR: an R/Bioconductor package for sensitive allele-specific methylation analysis in NGS data.GigaScience · 2022Article
- A Novel Framework for the Identification of Reference DNA Methylation Libraries for Reference-Based Deconvolution of Cellular Mixtures.Frontiers in bioinformatics · 2022Article
- 2dFDR: a new approach to confounder adjustment substantially increases detection power in omics association studies.Genome biology · 2021Article
- Epigenetic regulation of inflammation in periodontitis: cellular mechanisms and therapeutic potential.Clinical epigenetics · 2020Review
- Cell Types in Environmental Epigenetic Studies: Biological and Epidemiological Frameworks.Current environmental health reports · 2020Review
- Peripheral Blood Mononuclear Cell Oxytocin and Vasopressin Receptor Expression Positively Correlates with Social and Behavioral Function in Children with Autism.Scientific reports · 2019Article
- Brain Imaging-Guided Analysis Reveals DNA Methylation Profiles Correlated with Insular Surface Area and Alcohol Use Disorder.Alcoholism, clinical and experimental research · 2019Article
- Quantitation of the cellular content of saliva and buccal swab samples.Scientific reports · 2018Article
- Fruit and Juice Epigenetic Signatures Are Associated with Independent Immunoregulatory Pathways.Nutrients · 2017Article
- Fast and robust adjustment of cell mixtures in epigenome-wide association studies with SmartSVA.BMC genomics · 2017Article
- DNA methylation landscape of ocular tissue relative to matched peripheral blood.Scientific reports · 2017Article
- Birth weight discordance, DNA methylation, and cortical morphology of adolescent monozygotic twins.Human brain mapping · 2017Article
- eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data.Cell reports · 2016Article
- How to make DNA methylome wide association studies more powerful.Epigenomics · 2016Review
- An evaluation of methods correcting for cell-type heterogeneity in DNA methylation studies.Genome biology · 2016Article
- Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL).BMC bioinformatics · 2016Article
- Estimation of Cell-Type Composition Including T and B Cell Subtypes for Whole Blood Methylation Microarray Data.Frontiers in genetics · 2016Article
- Intra-individual changes in DNA methylation not mediated by cell-type composition are correlated with aging during childhood.Clinical epigenetics · 2016Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Platform technologies for measurement of CpG methylation at multiple loci across the genome have made ambitious epigenome-wide association studies affordable and practicable. In contrast to genetic studies, which estimate the effects of structural changes in DNA, and transcriptomic studies, which measure genomic outputs, epigenetic studies can access states of regulation of genome function in particular cells and in response to specific stimuli. Although many factors complicate the interpretation of epigenetic variation in human disease, cell-specific methylation patterns and the cellular heterogeneity present in peripheral blood and tissue biopsies are anticipated to cause the most problems. In this review, we suggest that the difficulties may be exaggerated and we explore how cellular heterogeneity may be embraced with appropriate study designs and analytical tools. We further suggest that systematic mapping of the loci influenced by age, sex and genetic polymorphisms will bring important biological insights as well as improved control of epigenome-wide association studies.
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Registered trials
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.