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Background: DNA methylation is an epigenetic mark associated with the repression of gene promoters. Its pattern in the genome is disrupted with age and these changes can be used to statistically predict age with epigenetic clocks. Altered rates of aging inferred from these clocks are observed in human disease. However, the molecular mechanisms underpinning age-associated DNA methylation changes remain unknown. Local DNA sequence can program steady-state DNA methylation levels, but how it influences age-associated methylation changes is unknown.
Results: We analyze longitudinal human DNA methylation trajectories at 345,895 CpGs from 600 individuals aged between 67 and 80 to understand the factors responsible for age-associated epigenetic changes at individual CpGs. We show that changes in methylation with age occur at 182,760 loci largely independently of variation in cell type proportions. These changes are especially apparent at 8322 low CpG density loci. Using SNP data from the same individuals, we demonstrate that methylation trajectories are affected by local sequence polymorphisms at 1487 low CpG density loci. More generally, we find that low CpG density regions are particularly prone to change and do so variably between individuals in people aged over 65. This differs from the behavior of these regions in younger individuals where they predominantly lose methylation.
Conclusions: Our results, which we reproduce in two independent groups of individuals, demonstrate that local DNA sequence influences age-associated DNA methylation changes in humans in vivo. We suggest that this occurs because interactions between CpGs reinforce maintenance of methylation patterns in CpG dense regions.
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http://dx.doi.org/10.1186/s13059-022-02787-8 | DOI Listing |
J Biomed Sci
September 2025
Division of Gastroenterology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Oncometabolites are aberrant metabolic byproducts that arise from mutations in enzymes of the tricarboxylic acid (TCA) cycle or related metabolic pathways and play central roles in tumor progression and immune evasion. Among these, 2-hydroxyglutarate (2-HG), succinate, and fumarate are the most well-characterized, acting as competitive inhibitors of α-ketoglutarate-dependent dioxygenases to alter DNA and histone methylation, cellular differentiation, and hypoxia signaling. More recently, itaconate, an immunometabolite predominantly produced by activated macrophages, has been recognized for its dual roles in modulating inflammation and tumor immunity.
View Article and Find Full Text PDFJ Assist Reprod Genet
September 2025
Division of Reproductive and Developmental Sciences, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR, USA.
Purpose: To determine if melatonin-enriched culture media could offset loss of imprinting in mouse concepti.
Methods: Zygotes were cultured to blastocyst stage under optimized conditions in melatonin-supplemented media at either 10 M (MT 10) or 10 M (MT 10), or without supplementation (Culture + embryo transfer, or ET, positive control). Blastocysts were also developed in vivo (ET negative control).
Nat Genet
September 2025
Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
Aberrant DNA methylation has been described in nearly all human cancers, yet its interplay with genomic alterations during tumor evolution is poorly understood. To explore this, we performed reduced representation bisulfite sequencing on 217 tumor and matched normal regions from 59 patients with non-small cell lung cancer from the TRACERx study to deconvolve tumor methylation. We developed two metrics for integrative evolutionary analysis with DNA and RNA sequencing data.
View Article and Find Full Text PDFNature
September 2025
Centre for Evolution and Cancer, Institute of Cancer Research, London, UK.
Cancer development and response to treatment are evolutionary processes, but characterizing evolutionary dynamics at a clinically meaningful scale has remained challenging. Here we develop a new methodology called EVOFLUx, based on natural DNA methylation barcodes fluctuating over time, that quantitatively infers evolutionary dynamics using only a bulk tumour methylation profile as input. We apply EVOFLUx to 1,976 well-characterized lymphoid cancer samples spanning a broad spectrum of diseases and show that initial tumour growth rate, malignancy age and epimutation rates vary by orders of magnitude across disease types.
View Article and Find Full Text PDFSci Justice
September 2025
School of Life Sciences, University of KwaZulu-Natal, Private Bag X54001, Westville, Durban 4000, South Africa. Electronic address:
A compound marker integrates two or more genetic markers into a single assay. The application of compound markers enhances the predictive accuracy of genetic testing by leveraging the strengths of different genetic variations while mitigating the limitations of individual markers. Compound markers include SNP-SNPs, SNP-STRs, DIP-SNPs, DIP-STRs, Multi-In/Dels, CpG-SNPs, CpG-STRs/CpG-In/Del, and Methylation-Microhaplotypes.
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