ReviewFrontiers in pharmacology2019
Making Sense of the Epigenome Using Data Integration Approaches.
Review in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
34 citing papers in PubMed.
- Epigenetic plasticity and chemoresistance in cancer: mechanisms, biomarkers, and translational opportunities for real-world evidence.Frontiers in cell and developmental biology · 2026Review
- Enhanced secure storage and data privacy management system for big data based on multilayer model.Scientific reports · 2025Article
- Obesity Biomarkers: Exploring Factors, Ramification, Machine Learning, and AI-Unveiling Insights in Health Research.MedComm · 2025Review
- Epigenomic insights and computational advances in hematologic malignancies.Molecular cytogenetics · 2025Review
- Epigenomic Echoes-Decoding Genomic and Epigenetic Instability to Distinguish Lung Cancer Types and Predict Relapse.Epigenomes · 2025Review
- Spatially resolved epigenome sequencing via Tn5 transposition and deterministic DNA barcoding in tissue.Nature protocols · 2024Review
- Epigenetics: rethinking of drug research and development.Future medicinal chemistry · 2024Article
- The role of aberrant DNA methylation in cancer initiation and clinical impacts.Therapeutic advances in medical oncology · 2024Article
- DNA methylation of hematopoietic stem/progenitor cells from donor peripheral blood to patient bone marrow: implications for allogeneic hematopoietic stem cell transplantation.Clinical and experimental medicine · 2023Article
- Review
- EpiCompare: R package for the comparison and quality control of epigenomic peak files.Bioinformatics advances · 2023Article
- Promises and challenges in pharmacoepigenetics.Cambridge prisms. Precision medicine · 2023Review
- Morphology and gene expression profiling provide complementary information for mapping cell state.Cell systems · 2022Article
- The potential of DNA methylation as a biomarker for obesity and smoking.Journal of internal medicine · 2022Review
- A review of deep learning applications in human genomics using next-generation sequencing data.Human genomics · 2022Review
- Methods for Stratification and Validation Cohorts: A Scoping Review.Journal of personalized medicine · 2022Article
- Ethical implications of epigenetics in the era of personalized medicine.Clinical epigenetics · 2022Review
- Chile Pepper (Frontiers in plant science · 2022Review
- DNA methylation as a mediator of genetic and environmental influences on Parkinson's disease susceptibility: Impacts of alpha-Synuclein, physical activity, and pesticide exposure on the epigenome.Frontiers in genetics · 2022Review
- Biophysics is reshaping our perception of the epigenome: from DNA-level to high-throughput studies.Biophysical reports · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epigenetic research involves examining the mitotically heritable processes that regulate gene expression, independent of changes in the DNA sequence. Recent technical advances such as whole-genome bisulfite sequencing and affordable epigenomic array-based technologies, allow researchers to measure epigenetic profiles of large cohorts at a genome-wide level, generating comprehensive high-dimensional datasets that may contain important information for disease development and treatment opportunities. The epigenomic profile for a certain disease is often a result of the complex interplay between multiple genetic and environmental factors, which poses an enormous challenge to visualize and interpret these data. Furthermore, due to the dynamic nature of the epigenome, it is critical to determine causal relationships from the many correlated associations. In this review we provide an overview of recent data analysis approaches to integrate various omics layers to understand epigenetic mechanisms of complex diseases, such as obesity and cancer. We discuss the following topics: (i) advantages and limitations of major epigenetic profiling techniques, (ii) resources for standardization, annotation and harmonization of epigenetic data, and (iii) statistical methods and machine learning methods for establishing data-driven hypotheses of key regulatory mechanisms. Finally, we discuss the future directions for data integration that shall facilitate the discovery of epigenetic-based biomarkers and therapies.
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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.