ArticleProceedings of the National Academy of Sciences of the United States of America2013
Distinctive topology of age-associated epigenetic drift in the human interactome.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 50 citations in OpenAlex.
- Unraveling the complexity of skin's biological aging utilizing epigenetic clocks.Clinical epigenetics · 2026Article
- Quantifying the stochastic component of epigenetic aging.Nature aging · 2024Article
- Maternal prenatal social experiences and offspring epigenetic age acceleration from birth to mid-childhood.Annals of epidemiology · 2024Article
- Making sense of the ageing methylome.Nature reviews. Genetics · 2022Review
- Review
- An integrative module analysis of DNA methylation landscape in aging.Experimental and therapeutic medicine · 2019Article
- Entanglement of Genetics and Epigenetics in Parkinson's Disease.Frontiers in neuroscience · 2019Review
- A network-based meta-analysis for characterizing the genetic landscape of human aging.Biogerontology · 2018Article
- Defining, distinguishing and detecting the contribution of heterogeneous methylation to cancer heterogeneity.Seminars in cell & developmental biology · 2017Review
- Epigenetic and genetic deregulation in cancer target distinct signaling pathway domains.Nucleic acids research · 2017Article
- Longitudinal study of DNA methylation during the first 5 years of life.Journal of translational medicine · 2016Article
- Epigenetic assimilation in the aging human brain.Genome biology · 2016Article
- A CpG-methylation-based assay to predict survival in clear cell renal cell carcinoma.Nature communications · 2015Article
- Impact of a folic acid-enriched diet on urinary tract function in mice treated with testosterone and estradiol.American journal of physiology. Renal physiology · 2015Article
- An integrative multi-scale analysis of the dynamic DNA methylation landscape in aging.PLoS genetics · 2015Article
- Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networks.BioData mining · 2015Article
- Article
- Age-associated DNA methylation changes in immune genes, histone modifiers and chromatin remodeling factors within 5 years after birth in human blood leukocytes.Clinical epigenetics · 2015Article
- DNA methylation as a dynamic regulator of development and disease processes: spotlight on the prostate.Epigenomics · 2015Review
- Network-based analysis identifies epigenetic biomarkers of esophageal squamous cell carcinoma progression.Bioinformatics (Oxford, England) · 2014Article
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Recently, it has been demonstrated that DNA methylation, a covalent modification of DNA that can regulate gene expression, is modified as a function of age. However, the biological and clinical significance of this age-associated epigenetic drift is unclear. To shed light on the potential biological significance, we here adopt a systems approach and study the genes undergoing age-associated changes in DNA methylation in the context of a protein interaction network, focusing on their topological properties. In contrast to what has been observed for other age-related gene classes, including longevity- and disease-associated genes, as well as genes undergoing age-associated changes in gene expression, we here demonstrate that age-associated epigenetic drift occurs preferentially in genes that occupy peripheral network positions of exceptionally low connectivity. In addition, we show that these genes synergize topologically with disease and longevity genes, forming unexpectedly large network communities. Thus, these results point toward a potentially distinct mechanistic and biological role of DNA methylation in dictating the complex aging and disease phenotypes.
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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.