ArticleCurrent genomics2012
Epigenome-Wide Association Studies (EWAS) in Cancer.
Article in Current genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
14 citing papers in PubMed.
- HiTIMED: hierarchical tumor immune microenvironment epigenetic deconvolution for accurate cell type resolution in the tumor microenvironment using tumor-type-specific DNA methylation data.Journal of translational medicine · 2022Article
- Sparse principal component analysis based on genome network for correcting cell type heterogeneity in epigenome-wide association studies.Medical & biological engineering & computing · 2022Article
- Detection of cell-type-specific risk-CpG sites in epigenome-wide association studies.Nature communications · 2019Article
- EWASdb: epigenome-wide association study database.Nucleic acids research · 2019Article
- Epigenetic Modifications in Stress Response Genes Associated With Childhood Trauma.Frontiers in psychiatry · 2019Review
- Epigenetic Biomarkers in Colorectal Cancer.Molecular diagnosis & therapy · 2017Review
- EWAS: epigenome-wide association studies software 1.0 - identifying the association between combinations of methylation levels and diseases.Scientific reports · 2016Article
- Genome-wide association studies and epigenome-wide association studies go together in cancer control.Future oncology (London, England) · 2016Article
- Theoretical cross-comparative analysis on dynamics of small intestine and colon crypts during cancer initiation.IET systems biology · 2015Article
- Epigenome-wide association study reveals decreased average methylation levels years before breast cancer diagnosis.Clinical epigenetics · 2015Article
- DNA methylation levels are highly correlated between pooled samples and averaged values when analysed using the Infinium HumanMethylation450 BeadChip array.Clinical epigenetics · 2015Article
- Extracellular vesicles: potential applications in cancer diagnosis, prognosis, and epidemiology.BMC clinical pathology · 2015Article
- The meta-epigenomic structure of purified human stem cell populations is defined at cis-regulatory sequences.Nature communications · 2014Article
- Empirical testing of hypotheses about the evolution of genomic imprinting in mammals.Frontiers in neuroanatomy · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
After completion of the human genome, genome-wide association studies were conducted to identify single nucleotide polymorphisms (SNPs) associated with cancer initiation and progression. Most of the studies identified SNPs that were located outside the coding region, and the odds ratios were too low to implement in clinical practice. Although the genome gives information about genome sequence and structure, the human epigenome provides functional aspects of the genome. Epigenome-wide association studies (EWAS) provide an opportunity to identify genome-wide epigenetic variants that are associated with cancer. However, there are problems and issues in implementing EWAS to establish an association between epigenetic profiles and cancer. Few challenges include selection and handling of samples, choice of population and sample size, accurate measurement of exposure, integrating data, and insufficient information about the role of repeat sequences. The current status of EWAS, challenges in the field, and their potential solutions are discussed in this article.
Indexed as
Identifiers
What OpenQuestion holds
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.