SynthesisAging2015
A meta-analysis on age-associated changes in blood DNA methylation: results from an original analysis pipeline for Infinium 450k data.
Synthesis in Aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 40 papers, 3 of them syntheses that pooled it.
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
40 citing papers in PubMed, 3 syntheses or guidelines pooled it, 65 citations in OpenAlex.
- The aging epigenome: integrative analyses reveal intersection with Alzheimer's disease.GeroScience · 2026Pooled it
- DNA methylation signatures of illicit drug injection and hepatitis C are associated with HIV frailty.Nature communications · 2017Pooled it
- Aberrant methylation patterns in colorectal cancer: a meta-analysis.Oncotarget · 2017Pooled it
- A machine learning approach to identify key epigenetic transcripts for ageing research in human blood (Epitage).Biogerontology · 2026Article
- From aging to Alzheimer's disease: concordant brain DNA methylation changes in late life.Genome medicine · 2026Article
- Article
- Emergence of CpG-cluster blanket methylation in aged tissues: a novel signature of epigenomic aging.Nucleic acids research · 2025Article
- Weighted 2D-kernel density estimations provide a new probabilistic measure for epigenetic age.Genome biology · 2025Article
- High-Resolution Whole-Genome DNA Methylation Revealed Unique Signatures of Painful Diabetic Neuropathy.Diabetes · 2025Article
- Blood-Based DNA Methylation Biomarkers to Identify Risk and Progression of Cardiovascular Disease.International journal of molecular sciences · 2025Review
- Review
- MIAMI-AD (Methylation in Aging and Methylation in AD): an integrative knowledgebase that facilitates explorations of DNA methylation across sex, aging, and Alzheimer's disease.Database : the journal of biological databases and curation · 2024Article
- A novel approach to risk exposure and epigenetics-the use of multidimensional context to gain insights into the early origins of cardiometabolic and neurocognitive health.BMC medicine · 2023Article
- Article
- Article
- Ageing-associated changes in DNA methylation in X and Y chromosomes.Epigenetics & chromatin · 2021Article
- DNA Methylation Profiles of Vegans and Non-Vegetarians in the Adventist Health Study-2 Cohort.Nutrients · 2020Article
- Gene duplication, rather than epigenetic changes, drives FGF4 overexpression in KIT/PDGFRA/SDH/RAS-P WT GIST.Scientific reports · 2020Article
- PRDM8 reveals aberrant DNA methylation in aging syndromes and is relevant for hematopoietic and neuronal differentiation.Clinical epigenetics · 2020Article
- DNA methylation QTL analysis identifies new regulators of human longevity.Human molecular genetics · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
18 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aging is characterized by a profound remodeling of the epigenetic architecture in terms of DNA methylation patterns. To date the most effective tool to study genome wide DNA methylation changes is Infinium HumanMethylation450 BeadChip (Infinium 450k). Despite the wealth of tools for Infinium 450k analysis, the identification of the most biologically relevant DNA methylation changes is still challenging. Here we propose an analytical pipeline to select differentially methylated regions (DMRs), tailored on microarray architecture, which is highly effective in highlighting biologically relevant results. The pipeline groups microarray probes on the basis of their localization respect to CpG islands and genic sequences and, depending on probes density, identifies DMRs through a single-probe or a region-centric approach that considers the concomitant variation of multiple adjacent CpG probes. We successfully applied this analytical pipeline on 3 independent Infinium 450k datasets that investigated age-associated changes in blood DNA methylation. We provide a consensus list of genes that systematically vary in DNA methylation levels from 0 to 100 years and that have a potentially relevant role in the aging process.
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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.