Tracking the Epigenetic Clock Across the Human Life Course: A Meta-analysis of Longitudinal Cohort Data-Reference-Cited by-同舟云学术

Tracking the Epigenetic Clock Across the Human Life Course: A Meta-analysis of Longitudinal Cohort Data

Published:2018-03-20 Issue:1 Volume:74 Page:57-61
ISSN:1079-5006
Container-title:The Journals of Gerontology: Series A
language:en
Short-container-title:

Author:

Marioni Riccardo E¹²,Suderman Matthew³,Chen Brian H⁴,Horvath Steve⁵⁶,Bandinelli Stefania⁷,Morris Tiffany⁸,Beck Stephan⁸,Ferrucci Luigi⁴,Pedersen Nancy L⁹,Relton Caroline L³,Deary Ian J¹¹⁰,Hägg Sara⁹^ORCID

Affiliation:

1. Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK

2. Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, UK

3. Medical Research Council Integrative Epidemiology Unit, University of Bristol, UK

4. The National Institute on Aging, NIH, Baltimore, Maryland

5. Human Genetics, David Geffen School of Medicine, University of California Los Angeles

6. Department of Biostatistics, School of Public Health, University of California Los Angeles

7. Geriatric Unit, Azienda Sanitaria di Firenze, Florence, Italy

8. UCL Cancer Institute, University College London, UK

9. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden

10. Department of Psychology, University of Edinburgh, UK

Funder

UK Medical Research Council and Wellcome

UK Economic and Social Research Council

BBSRC

University of Bristol

U.S. National Institute on Aging

MacArthur Foundation Research Network on Successful Aging, the Swedish Council for Working Life and Social Research (FAS/FORTE)

Swedish Research Council

University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology (CCACE)

cross-council Lifelong Health and Wellbeing Initiative

Biotechnology and Biological Sciences Research Council

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Aging

Link

http://academic.oup.com/biomedgerontology/article-pdf/74/1/57/27163346/gly060.pdf

Reference20 articles.

1. Genome-wide methylation profiles reveal quantitative views of human aging rates;Hannum;Mol Cell,2013

2. DNA methylation age of human tissues and cell types;Horvath;Genome Biol,2013

3. DNA methylation-based measures of biological age: meta-analysis predicting time to death;Chen;Aging (Albany NY),2016

4. Increased epigenetic age and granulocyte counts in the blood of Parkinson’s disease patients;Horvath;Aging (Albany NY),2015

5. The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936;Marioni;Int J Epidemiol,2015

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