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Links from GEO DataSets

Items: 20

1.

The PedBE clock accurately estimates DNA methylation age in pediatric buccal cells

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platforms:
GPL21145 GPL13534
2192 Samples
Download data: IDAT
Series
Accession:
GSE137503
ID:
200137503
2.

Grady Kids Saliva Methylation

(Submitter supplied) DNA methylation from Grady Trauma Project Parental and childhood exposure to trauma increases an individual's lifetime risk for psychiatric and stress-related disorders. This study evaluates DNA methylation in saliva from children, with the goal of identifying associations between peripheral DNA methylation and psychiatric symptoms.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
65 Samples
Download data: CSV, IDAT
Series
Accession:
GSE138279
ID:
200138279
3.

The PedBE clock accurately estimates DNA methylation age in pediatric buccal cells [dataset 16, GUSTO]

(Submitter supplied) The development of current biological markers of aging has primarily focused on adult samples. The epigenetic clock is 1 promising tool for measuring biological age that shows impressive accuracy across most tissues and age ranges. In adults, deviations from the DNA methylation (DNAm) age prediction are correlated with several agerelated phenotypes, such as mortality and frailty. In children, however, fewer such associations have been made, possibly because DNAm changes are more dynamic in pediatric populations as compared to adults. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL21145
510 Samples
Download data: CSV
Series
Accession:
GSE137904
ID:
200137904
4.

The PedBE clock estimates DNA methylation age in pediatric buccal cells [dataset 3, GECKO]

(Submitter supplied) The development of current biological markers of aging has primarily focused on adult samples. The epigenetic clock is one promising tool for measuring biological age that shows impressive accuracy across most tissues and age ranges. In adults, deviations from the DNA methylation (DNAm) age prediction are correlated with several agerelated phenotypes, such as mortality and frailty. In children, however, fewer such associations have been made, possibly because DNAm changes are more dynamic in pediatric populations as compared to adults. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
254 Samples
Download data: CSV, TXT
Series
Accession:
GSE137903
ID:
200137903
5.

Gene expression profiling of tankyrase-inhibited mouse articular chondrocytes

(Submitter supplied) Osteoarthritis (OA) is a prevalent degenerative disease, which involves progressive and irreversible destruction of cartilage matrix. Despite efforts to reconstruct cartilage matrix in osteoarthritic joints, it has been a difficult task as adult cartilage exhibits marginal repair capacity. Here we report the identification of tankyrase as a regulator of the cartilage anabolism axis based on systems-level factor analysis of mouse reference populations. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
15 Samples
Download data: TXT
Series
Accession:
GSE137899
ID:
200137899
6.

The PedBE clock estimates DNA methylation age in pediatric buccal cells [dataset 10, MAVAN II]

(Submitter supplied) The development of current biological markers of aging has primarily focused on adult samples. The epigenetic clock is one promising tool for measuring biological age that shows impressive accuracy across most tissues and age ranges. In adults, deviations from the DNA methylation (DNAm) age prediction are correlated with several agerelated phenotypes, such as mortality and frailty. In children, however, fewer such associations have been made, possibly because DNAm changes are more dynamic in pediatric populations as compared to adults. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
265 Samples
Download data: CSV, TXT
Series
Accession:
GSE137898
ID:
200137898
7.

The PedBE clock accurately estimates DNA methylation age in pediatric buccal cells [dataset 5, MAVAN I]

(Submitter supplied) The development of current biological markers of aging has primarily focused on adult samples. The epigenetic clock is one promising tool for measuring biological age that shows impressive accuracy across most tissues and age ranges. In adults, deviations from the DNA methylation (DNAm) age prediction are correlated with several agerelated phenotypes, such as mortality and frailty. In children, however, fewer such associations have been made, possibly because DNAm changes are more dynamic in pediatric populations as compared to adults. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
98 Samples
Download data: CSV, TXT
Series
Accession:
GSE137894
ID:
200137894
8.

The PedBE clock estimates DNA methylation age in pediatric buccal cells [dataset 2, C3ARE]

(Submitter supplied) The development of current biological markers of aging has primarily focused on adult samples. The epigenetic clock is one promising tool for measuring biological age that shows impressive accuracy across most tissues and age ranges. In adults, deviations from the DNA methylation (DNAm) age prediction are correlated with several agerelated phenotypes, such as mortality and frailty. In children, however, fewer such associations have been made, possibly because DNAm changes are more dynamic in pediatric populations as compared to adults. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
89 Samples
Download data: CSV, TXT
Series
Accession:
GSE137884
ID:
200137884
9.

The PedBE clock accurately estimates DNA methylation age in pediatric buccal cells [dataset 11,UCI]

(Submitter supplied) The development of current biological markers of aging has primarily focused on adult samples. The epigenetic clock is one promising tool for measuring biological age that shows impressive accuracy across most tissues and age ranges. In adults, deviations from the DNA methylation (DNAm) age prediction are correlated with several agerelated phenotypes, such as mortality and frailty. In children, however, fewer such associations have been made, possibly because DNAm changes are more dynamic in pediatric populations as compared to adults. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL21145
250 Samples
Download data: CSV
Series
Accession:
GSE137841
ID:
200137841
10.

The PedBE clock accurately estimates DNA methylation age in pediatric buccal cells [dataset 15, MAVAN mothers cohort]

(Submitter supplied) The development of current biological markers of aging has primarily focused on adult samples. The epigenetic clock is one promising tool for measuring biological age that shows impressive accuracy across most tissues and age ranges. In adults, deviations from the DNA methylation (DNAm) age prediction are correlated with several age-related phenotypes, such as mortality and frailty. In children, however, fewer such associations have been made, possibly because DNAm changes are more dynamic in pediatric populations as compared to adults. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
250 Samples
Download data: CSV
Series
Accession:
GSE137688
ID:
200137688
11.

The PedBE clock accurately estimates DNA methylation age in pediatric buccal cells [dataset 8, BIBO]

(Submitter supplied) The development of current biological markers of aging has primarily focused on adult samples. The epigenetic clock is one promising tool for measuring biological age that shows impressive accuracy across most tissues and age ranges. In adults, deviations from the DNA methylation (DNAm) age prediction are correlated with several agerelated phenotypes, such as mortality and frailty. In children, however, fewer such associations have been made, possibly because DNAm changes are more dynamic in pediatric populations as compared to adults. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL21145
152 Samples
Download data: IDAT, TXT
Series
Accession:
GSE137682
ID:
200137682
12.

The PedBE clock estimates DNA methylation age in pediatric buccal cells [dataset 7, WSFW]

(Submitter supplied) The development of current biological markers of aging has primarily focused on adult samples. The epigenetic clock is one promising tool for measuring biological age that shows impressive accuracy across most tissues and age ranges. In adults, deviations from the DNA methylation (DNAm) age prediction are correlated with several agerelated phenotypes, such as mortality and frailty. In children, however, fewer such associations have been made, possibly because DNAm changes are more dynamic in pediatric populations as compared to adults. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
179 Samples
Download data: CSV
Series
Accession:
GSE137502
ID:
200137502
13.

The PedBE clock estimates DNA methylation age in pediatric buccal cells [APrON]

(Submitter supplied) The development of current biological markers of aging has primarily focused on adult samples. The epigenetic clock is one promising tool for measuring biological age that shows impressive accuracy across most tissues and age ranges. In adults, deviations from the DNA methylation (DNAm) age prediction are correlated with several agerelated phenotypes, such as mortality and frailty. In children, however, fewer such associations have been made, possibly because DNAm changes are more dynamic in pediatric populations as compared to adults. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
145 Samples
Download data: CSV
Series
Accession:
GSE137495
ID:
200137495
14.

Exploring the Genetic Basis of Human Population Differences in DNA Methylation and their Causal Impact on Immune Gene Regulation

(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
Series
Accession:
GSE120610
ID:
200120610
15.

Integration of DNA methylation patterns and genetic variation in human pediatric tissues help inform EWAS design and interpretation

(Submitter supplied) Background: The widespread use of accessible peripheral tissues for epigenetic analyses has prompted increasing interest in the study of tissue-specific DNA methylation (DNAm) variation in human populations. To date, characterizations of inter-individual DNAm variability and DNAm concordance across tissues have been largely performed in adult tissues and therefore are limited in their relevance to DNAm profiles from pediatric samples. more...
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL13534
215 Samples
Download data: IDAT
Series
Accession:
GSE124366
ID:
200124366
16.

The Australian Mammographic Density Twins and Sisters Study - DNA methylation data

(Submitter supplied) DNA methylation data for 479 women from 130 families including 66 monozygotic twin pairs, 66 dizygotic twin pairs and 215 sisters of twins.
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL13534
479 Samples
Download data: TXT
Series
Accession:
GSE100227
ID:
200100227
17.

Genome-wide DNA methylation analysis of psoriatic and normal skin tissues

(Submitter supplied) Genome wide DNA methylation profiling of psoriatic (PP), paired uninvolved psoriatic (PN) and normal skin tissues (NN). The Illumina Infinium 450k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 485,000 CpGs in 135 PP, 41PN and 62 NN tissues which were obtained from those who underwent skin biospsies. We not only revealed a genome-wide methylation level pattern for psoriasis, but also identified a strong association between the skin-specific DNAm of 9 DMS and psoriasis.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
219 Samples
Download data: TXT
Series
Accession:
GSE73894
ID:
200073894
18.

Multi-tissue DNA methylation age predictor in mouse

(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
Series
Accession:
GSE93957
ID:
200093957
19.

Highly accurate Skin-Specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL21145
50 Samples
Download data: IDAT
Series
Accession:
GSE151617
ID:
200151617
20.

Highly accurate Skin-Specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging [DS5]

(Submitter supplied) In the present study, we developed a highly accurate Skin-Specific DNAm age predictor, using DNAm data obtained from 508 human skin samples. Based on the analysis of 2,266 CpG sites, we accurately calculated the DNAm age of cultured skin cells, and human skin biopsies. Age estimation was sensitive to the biological age of the donor, cell passage, skin disease status, as well as treatment with senotherapeutic drugs.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL21145
10 Samples
Download data: IDAT
Series
Accession:
GSE151604
ID:
200151604
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