Literature DB >> 29020168

Association of DNA Methylation-Based Biological Age With Health Risk Factors and Overall and Cause-Specific Mortality.

Pierre-Antoine Dugué1,2, Julie K Bassett1, JiHoon E Joo3, Laura Baglietto1,2,4, Chol-Hee Jung5, Ee Ming Wong3, Giovanni Fiorito6, Daniel Schmidt2, Enes Makalic2, Shuai Li2, Margarita Moreno-Betancur2,7, Daniel D Buchanan2,8,9, Paolo Vineis6,10, Dallas R English1,2, John L Hopper2, Gianluca Severi1,2,11,6, Melissa C Southey1,2,3, Graham G Giles1,2, Roger L Milne1,2.   

Abstract

Measures of biological age based on blood DNA methylation, referred to as age acceleration (AA), have been developed. We examined whether AA was associated with health risk factors and overall and cause-specific mortality. At baseline (1990-1994), blood samples were drawn from 2,818 participants in the Melbourne Collaborative Cohort Study (Melbourne, Victoria, Australia). DNA methylation was determined using the Infinium HumanMethylation450 BeadChip array (Illumina Inc., San Diego, California). Mixed-effects models were used to examine the association of AA with health risk factors. Cox models were used to assess the association of AA with mortality. A total of 831 deaths were observed during a median 10.7 years of follow-up. Associations of AA were observed with male sex, Greek nationality (country of birth), smoking, obesity, diabetes, lower education, and meat intake. AA measures were associated with increased mortality, and this was only partly accounted for by known determinants of health (hazard ratios were attenuated by 20%-40%). Weak evidence of heterogeneity in the association was observed by sex (P = 0.06) and cause of death (P = 0.07) but not by other factors. DNA-methylation-based AA measures are associated with several major health risk factors, but these do not fully explain the association between AA and mortality. Future research should investigate what genetic and environmental factors determine AA.

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Year:  2018        PMID: 29020168     DOI: 10.1093/aje/kwx291

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  41 in total

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Authors:  Igor Yusipov; Elena Kondakova; Alena Kalyakulina; Mikhail Krivonosov; Nadezhda Lobanova; Maria Giulia Bacalini; Claudio Franceschi; Maria Vedunova; Mikhail Ivanchenko
Journal:  Geroscience       Date:  2022-03-02       Impact factor: 7.581

2.  Association of Epigenetic Clock with Consensus Molecular Subtypes and Overall Survival of Colorectal Cancer.

Authors:  Chunlei Zheng; Li Li; Rong Xu
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-08-02       Impact factor: 4.254

3.  Prospective Study of Epigenetic Age Acceleration and Incidence of Cardiovascular Disease Outcomes in the ARIC Study (Atherosclerosis Risk in Communities).

Authors:  Nicholas S Roetker; James S Pankow; Jan Bressler; Alanna C Morrison; Eric Boerwinkle
Journal:  Circ Genom Precis Med       Date:  2018-03

4.  DNA methylation ageing clocks and pancreatic cancer risk: pooled analysis of three prospective nested case-control studies.

Authors:  Mei Chung; Mengyuan Ruan; Naisi Zhao; Devin C Koestler; Immaculata De Vivo; Karl T Kelsey; Dominique S Michaud
Journal:  Epigenetics       Date:  2021-01-07       Impact factor: 4.528

5.  Special Report: The Biology of Inequalities in Health: The Lifepath Consortium.

Authors:  Paolo Vineis; Mauricio Avendano-Pabon; Henrique Barros; Mel Bartley; Cristian Carmeli; Luca Carra; Marc Chadeau-Hyam; Giuseppe Costa; Cyrille Delpierre; Angelo D'Errico; Silvia Fraga; Graham Giles; Marcel Goldberg; Michelle Kelly-Irving; Mika Kivimaki; Benoit Lepage; Thierry Lang; Richard Layte; Frances MacGuire; Johan P Mackenbach; Michael Marmot; Cathal McCrory; Roger L Milne; Peter Muennig; Wilma Nusselder; Dusan Petrovic; Silvia Polidoro; Fulvio Ricceri; Oliver Robinson; Silvia Stringhini; Marie Zins
Journal:  Front Public Health       Date:  2020-05-12

6.  Lifestyle weight-loss intervention may attenuate methylation aging: the CENTRAL MRI randomized controlled trial.

Authors:  Anat Yaskolka Meir; Maria Keller; Stephan H Bernhart; Ehud Rinott; Gal Tsaban; Hila Zelicha; Alon Kaplan; Dan Schwarzfuchs; Ilan Shelef; Yftach Gepner; Jun Li; Yifei Lin; Matthias Blüher; Uta Ceglarek; Michael Stumvoll; Peter F Stadler; Meir J Stampfer; Peter Kovacs; Liming Liang; Iris Shai
Journal:  Clin Epigenetics       Date:  2021-03-04       Impact factor: 6.551

7.  Epigenetic age is associated with baseline and 3-year change in frailty in the Canadian Longitudinal Study on Aging.

Authors:  Chris P Verschoor; David T S Lin; Michael S Kobor; Oxana Mian; Jinhui Ma; Guillaume Pare; Gustavo Ybazeta
Journal:  Clin Epigenetics       Date:  2021-08-23       Impact factor: 6.551

8.  The Socioeconomic Gradient in Epigenetic Ageing Clocks: Evidence from the Multi-Ethnic Study of Atherosclerosis and the Health and Retirement Study.

Authors:  Lauren L Schmitz; Wei Zhao; Scott M Ratliff; Julia Goodwin; Jiacheng Miao; Qiongshi Lu; Xiuqing Guo; Kent D Taylor; Jingzhong Ding; Yongmei Liu; Morgan Levine; Jennifer A Smith
Journal:  Epigenetics       Date:  2021-07-06       Impact factor: 4.861

9.  Association of Epigenetic Age Acceleration With Risk Factors, Survival, and Quality of Life in Patients With Head and Neck Cancer.

Authors:  Canhua Xiao; Andrew H Miller; Gang Peng; Morgan E Levine; Karen N Conneely; Hongyu Zhao; Ronald C Eldridge; Evanthia C Wommack; Sangchoon Jeon; Kristin A Higgins; Dong M Shin; Nabil F Saba; Alicia K Smith; Barbara Burtness; Henry S Park; Melinda L Irwin; Leah M Ferrucci; Bryan Ulrich; David C Qian; Jonathan J Beitler; Deborah W Bruner
Journal:  Int J Radiat Oncol Biol Phys       Date:  2021-04-18       Impact factor: 8.013

Review 10.  The use of DNA methylation clock in aging research.

Authors:  Xi He; Jiaojiao Liu; Bo Liu; Jingshan Shi
Journal:  Exp Biol Med (Maywood)       Date:  2020-11-11
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