Multi-tissue DNA methylation age predictor in mouse

Article English OPEN

Stubbs, Thomas M.; Bonder, Marc Jan; Stark, Anne-Katrien; Krueger, Felix; von Meyenn, Ferdinand; Stegle, Oliver; Reik, Wolf;

(2017)

Publisher: BioMed Central

Journal: Genome Biology,volume 18 (issn: 1474-7596, eissn: 1474-760X)

Publisher copyright policies & self-archiving

Related identifiers: pmc: PMC5389178, doi: 10.1186/s13059-017-1203-5
Subject: DNA methylation | Research Article | Biological age | Prediction | Model | Chronological age | Ageing/aging | Epigenetics | Ovariectomy | High fat diet | Epigenetic clock

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 process. It has also not been show... View more

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Related Research Results (6)

Inferred by OpenAIRE

other Maternal Nutrition Induces Pervasive Gene Expression Changes but No Detectable DNA Methylation Differences in the Liver of Adult Offspring (2014)	76%
other Breast Cancer Subtype Specific Classifiers of Response to Neoadjuvant Chemotherapy Do Not Outperform Classifiers Trained on All Subtypes (2014)	73%
other Aging and Environmental Exposures Alter Tissue-Specific DNA Methylation Dependent upon CpG Island Context (2009)	73%
software Epigenomeclock/Mouseepigeneticclock: Mouseepigeneticclock (2017)	73%
software MouseEpigeneticClock software on GitHub in support of 'Multi-tissue DNA methylation age predictor in mouse'	72%
software Umi-Grinder software on GitHub	72%

Related Organizations (6)

University of Cambridge	90%
Babraham Institute United Kingdom Website url: http://www.babraham.ac.uk	90%
UNIVERSITY OF CAMBRIDGE	90%
Babraham Institute	90%
University Of Cambridge	90%
European Bioinformatics Institute	90%

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