GEO DataSets

(Submitter supplied) Chronological age prediction from DNA methylation sheds light on human aging, indicates poor health and predicts lifespan. Previous studies developed methylation clocks based on linear regression models on methylation array data. While accurate, these models are limited to fixed-rate changes in methylation levels across age. Moreover, the high cost of methylation arrays, compared to targeted-PCR sequencing, hinders widespread utility of such predictors. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array; Third-party reanalysis

Download data: CSV

(Submitter supplied) In this study, we have optimized and directly compared epigenetic age predictors based on pyrosequencing, ddPCR and BBA-seq of specific age-associated regions. Bisulfite barcoded amplicon sequencing (BBA-seq) was performed on 9 genomic region of 77 human blood DNA and 11 genomic regions of 95 buccal swab DNA to measure age-associated regions for epigenetic age prediction. Furthermore, our data indicate that the correlation of age-associated DNAm with chronological age peaks close to CTCF binding sites. more...

Organism:

Homo sapiens

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL15520

172 Samples

Download data: TXT

(Submitter supplied) Background: DNA methylation is influenced by both environmental and genetic factors and is increasingly thought to affect variation in complex traits and diseases. Yet, the extent of ancestry-related differences in DNA methylation, its genetic determinants, and their respective causal impact on immune gene regulation remain elusive. Results: We report extensive population differences in DNA methylation between 156 individuals of African and Europeandescent —detected in primary monocytes that were used as a model of a major innate immunity cell type. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL23976

156 Samples

Download data: CSV

(Submitter supplied) Background: DNA-methylation changes at a discrete set of sites in the human genome are predictive of chronological and biological age. However, it is not known whether these changes are causative or a consequence of an underlying ageing programme. It has also not been shown whether this ‘epigenetic clock’ is unique to humans or conserved in other animals such as the experimentally tractable mouse. Results: We have generated a comprehensive set of whole genome base-resolution methylation maps from multiple mouse tissues spanning a wide range of ages. more...

Organism:

Mus musculus

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL13112

62 Samples

Download data: TXT

(Submitter supplied) Genome wide DNA methylation profiling of normal colon samples. The Illumina Infinium HumanMethylation450 and EPIC Beadchip arrays were used to obtain DNA methylation profiles across approximately 450,000 and 850,000 CpGs. Samples were from nomal colons of 334 subjects with low, medium or high CRC risk according to their personal adenoma or cancer history.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platforms:

GPL21145 GPL13534

334 Samples

Download data: IDAT

(Submitter supplied) DNA methylation levels in whole blood measured over a ten years follow up in an elderly birth cohort of 86 samples

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

180 Samples

Download data: IDAT, TXT

(Submitter supplied) Genome wide DNA methylation profiling of normal (5.5mM) and high (25mM) glucose samples from primary human fibroblasts across the cellular lifespan. The Illumina Infinium EPIC Human DNA methylation Beadchip was used to obtain DNA methylation profiles across approximately 866,836 CpGs. Samples included 12 normal glucose time points and 14 high glucose time points, as well as, 6 technical replicates of normal glucose timepoint at 34.8 days. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL21145

31 Samples

Download data: IDAT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL24676

316 Samples

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(Submitter supplied) The establishment of highly accurate aging clocks based on DNA methylation highlighted the strong link between epigenetic alterations and aging. However, connecting methylation clocks to physiological changes is not straightforward. Transcriptomics and proteomics clocks on the other hand are directly connected to cellular function, yet they do not allow us to understand underlying epigenetic mechanisms. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

159 Samples

Download data: CSV

(Submitter supplied) The establishment of highly accurate aging clocks based on DNA methylation highlighted the strong link between epigenetic alterations and aging. However, connecting methylation clocks to physiological changes is not straightforward. Transcriptomics and proteomics clocks on the other hand are directly connected to cellular function, yet they do not allow us to understand underlying epigenetic mechanisms. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL24676

157 Samples

Download data: TXT

(Submitter supplied) Genome-wide DNA methylation profiling of femoral bones obtained from young and old individuals. The Illumina Infinium HumanMethylation EPIC BeadChip was used to obtain DNA methylation profiles across approximately 850K CpGs from human femoral bones.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL21145

32 Samples

Download data: IDAT, TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Mus musculus

Type:

Methylation profiling by high throughput sequencing; Third-party reanalysis

Platforms:

GPL21103 GPL17021

549 Samples

Download data: CSV, TXT

(Submitter supplied) Human DNA-methylation data have been used to develop highly accurate biomarkers of aging ("epigenetic clocks"). Recent studies demonstrate that similar epigenetic clocks for mice (Mus Musculus) can be slowed by gold standard anti-aging interventions such as calorie restriction and growth hormone receptor knock-outs. Using DNA methylation data from previous publications with data collected in house for a total 1189 samples spanning 193,651 CpG sites, we developed 4 novel epigenetic clocks by choosing different regression models (elastic net- versus ridge regression) and by considering different sets of CpGs (all CpGs vs highly conserved CpGs). more...

Organism:

Mus musculus

Type:

Methylation profiling by high throughput sequencing; Third-party reanalysis

Download data: TXT

(Submitter supplied) Human DNA-methylation data have been used to develop highly accurate biomarkers of aging ("epigenetic clocks"). Recent studies demonstrate that similar epigenetic clocks for mice (Mus Musculus) can be slowed by gold standard anti-aging interventions such as calorie restriction and growth hormone receptor knock-outs. Using DNA methylation data from previous publications with data collected in house for a total 1189 samples spanning 193,651 CpG sites, we developed 4 novel epigenetic clocks by choosing different regression models (elastic net- versus ridge regression) and by considering different sets of CpGs (all CpGs vs highly conserved CpGs). more...

Organism:

Mus musculus

Type:

Methylation profiling by high throughput sequencing

Platforms:

GPL21103 GPL17021

549 Samples

Download data: TXT

(Submitter supplied) Background Chronological aging-associated changes in the human DNA methylome are studied by multiple epigenome-wide association studies (EWAS); however, the aging-associated DNAmet changes identified among different age groups and tissues vary and especially the rates of aging-associated alterations in the epigenome during adulthood remain unclear. Here, we further explore and characterize CpG-sites where DNA methylation levels alter at a constant rate during adulthood and are also independent of blood cell type heterogeneity. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

184 Samples

Download data: TXT

(Submitter supplied) We developed two novel sperm epigenetic clocks by applying Super Learner, an ensemble machine learning algorithm, to predict age from sperm EPIC array DNA methylation data via individual CpG sites and differentially methylated regions (DMRs). Overall, our cox model showed that one-year increase in our developed sperm epigenetic age (SEA) was associated with up to 15% reduction in couples time-to-pregnancy (TTP).

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL29753

379 Samples

Download data: IDAT, TXT

(Submitter supplied) Age-associated DNA methylation reflects aspect of biological aging - therefore epigenetic clocks for mice can help to elucidate the impact of treatments or genetic background on the aging process in this model organism. Initially, age-predictors for mice were trained for genome-wide DNA methylation profiles and we have recently described a targeted assay based on pyrosequencing of DNA methylation at only three CG dinucleotides (CpGs). more...

Organism:

Mus musculus

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL16417

111 Samples

Download data: TXT

(Submitter supplied) This DNA methylation dataset describes epigenomic changes in astrocytes culture in vitro with passaging, in the context of studies examining cellular aging patterns that are conserved in vivo and in vitro. Fetal astrocytes were derived from cerebral cortex. Cells were grown under normoxic conditions and exhaustively passaged until cellular senescence. Longitudinal DNA samples were collected throughout passaging and DNA methylation was measured using the Infinium HumanMethylationEPIC BeadChip. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL21145

63 Samples

Download data: IDAT

(Submitter supplied) DNA methylation data from common marmosets (Callithrix jacchus) profiled on the mammalian methylation array (HorvathMammalMethylChip40) which focuses on highly conserved CpGs across mammalian species. Rapamycin study in a subset of animals.

Organism:

Homo sapiens; Mus musculus; Callithrix jacchus; Rattus norvegicus

Type:

Methylation profiling by array

Platform:

GPL28271

96 Samples

Download data: CSV, DOCX, IDAT

(Submitter supplied) Aging has been shown to be a strong driver of DNA methylation changes, leading to the development of robust biomarkers in humans and more recently, in mice. This study aimed to generate a novel epigenetic clock in rats—a model with unique physical, physiological, and biochemical advantages for studying mammalian aging. Additionally, we incorporated behavioral data, unsupervised machine learning, and network analysis to identify epigenetic signals that not only track with age, but also relate to phenotypic aging and reflect higher-order molecular aging changes. more...

Organism:

Rattus norvegicus

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL18694

134 Samples

Download data: CGMAP