Literature DB >> 24163245

Cross-sectional and longitudinal changes in DNA methylation with age: an epigenome-wide analysis revealing over 60 novel age-associated CpG sites.

Ines Florath1, Katja Butterbach, Heiko Müller, Melanie Bewerunge-Hudler, Hermann Brenner.   

Abstract

Understanding the role of epigenetic modifications, e.g. DNA methylation, in the process of aging requires the characterization of methylation patterns in large cohorts. We analysed >480 000 CpG sites using Infinium HumanMethylation450 BeadChip (Illumina) in whole blood DNA of 965 participants of a population-based cohort study aged between 50 and 75 years. In an exploratory analysis in 400 individuals, 200 CpG sites with the highest Spearman correlation coefficients for the association between methylation and age were identified. Of these 200 CpGs, 162 were significantly associated with age, which was verified in an independent cohort of 498 individuals using mixed linear regression models adjusted for gender, smoking behaviour, age-related diseases and random batch effect and corrected for multiple testing by Bonferroni. In another independent cohort of 67 individuals without history of major age-related diseases and with a follow-up of 8 years, we observed a gain in methylation at 96% (52%, significant) of the positively age-associated CpGs and a loss at all (89%, significant) of the negatively age-associated CpGs in each individual while getting 8 years older. A regression model for age prediction based on 17 CpGs as predicting variables explained 71% of the variance in age with an average accuracy of 2.6 years. In comparison with cord blood samples obtained from the Ulm Birth Cohort Study, we observed a more than 2-fold change in mean methylation levels from birth to older age at 86 CpGs. We were able to identify 65 novel CpG sites with significant association of methylation with age.

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Year:  2013        PMID: 24163245      PMCID: PMC3919014          DOI: 10.1093/hmg/ddt531

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  41 in total

1.  Individual variation and longitudinal pattern of genome-wide DNA methylation from birth to the first two years of life.

Authors:  Deli Wang; Xin Liu; Ying Zhou; Hehuang Xie; Xiumei Hong; Hui-Ju Tsai; Guoying Wang; Rong Liu; Xiaobin Wang
Journal:  Epigenetics       Date:  2012-06-01       Impact factor: 4.528

2.  Methylation of ELOVL2 gene as a new epigenetic marker of age.

Authors:  Paolo Garagnani; Maria G Bacalini; Chiara Pirazzini; Davide Gori; Cristina Giuliani; Daniela Mari; Anna M Di Blasio; Davide Gentilini; Giovanni Vitale; Sebastiano Collino; Serge Rezzi; Gastone Castellani; Miriam Capri; Stefano Salvioli; Claudio Franceschi
Journal:  Aging Cell       Date:  2012-10-14       Impact factor: 9.304

3.  Association of pre- and post-natal parental smoking with offspring body mass index: an 8-year follow-up of a birth cohort.

Authors:  I Florath; M Kohler; M N Weck; S Brandt; D Rothenbacher; B Schöttker; A Moß; P Gottmann; M Wabitsch; H Brenner
Journal:  Pediatr Obes       Date:  2013-02-18       Impact factor: 4.000

4.  Genome-scale analysis of aberrant DNA methylation in colorectal cancer.

Authors:  Toshinori Hinoue; Daniel J Weisenberger; Christopher P E Lange; Hui Shen; Hyang-Min Byun; David Van Den Berg; Simeen Malik; Fei Pan; Houtan Noushmehr; Cornelis M van Dijk; Rob A E M Tollenaar; Peter W Laird
Journal:  Genome Res       Date:  2011-06-09       Impact factor: 9.043

5.  NK phenotypic markers and IL2 response in NK cells from elderly people.

Authors:  F Borrego; M C Alonso; M D Galiani; J Carracedo; R Ramirez; B Ostos; J Peña; R Solana
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6.  Epigenome-wide association study in the European Prospective Investigation into Cancer and Nutrition (EPIC-Turin) identifies novel genetic loci associated with smoking.

Authors:  Natalie S Shenker; Silvia Polidoro; Karin van Veldhoven; Carlotta Sacerdote; Fulvio Ricceri; Mark A Birrell; Maria G Belvisi; Robert Brown; Paolo Vineis; James M Flanagan
Journal:  Hum Mol Genet       Date:  2012-11-21       Impact factor: 6.150

7.  Changes of cardiovascular risk factors and their implications in subsequent birth cohorts of older adults in Germany: a life course approach.

Authors:  Elke Raum; Dietrich Rothenbacher; Michael Löw; Christa Stegmaier; Hartwig Ziegler; Hermann Brenner
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8.  Epigenetic predictor of age.

Authors:  Sven Bocklandt; Wen Lin; Mary E Sehl; Francisco J Sánchez; Janet S Sinsheimer; Steve Horvath; Eric Vilain
Journal:  PLoS One       Date:  2011-06-22       Impact factor: 3.240

9.  Epigenome-wide scans identify differentially methylated regions for age and age-related phenotypes in a healthy ageing population.

Authors:  Jordana T Bell; Pei-Chien Tsai; Tsun-Po Yang; Ruth Pidsley; James Nisbet; Daniel Glass; Massimo Mangino; Guangju Zhai; Feng Zhang; Ana Valdes; So-Youn Shin; Emma L Dempster; Robin M Murray; Elin Grundberg; Asa K Hedman; Alexandra Nica; Kerrin S Small; Emmanouil T Dermitzakis; Mark I McCarthy; Jonathan Mill; Tim D Spector; Panos Deloukas
Journal:  PLoS Genet       Date:  2012-04-19       Impact factor: 5.917

10.  Aging effects on DNA methylation modules in human brain and blood tissue.

Authors:  Steve Horvath; Yafeng Zhang; Peter Langfelder; René S Kahn; Marco P M Boks; Kristel van Eijk; Leonard H van den Berg; Roel A Ophoff
Journal:  Genome Biol       Date:  2012-10-03       Impact factor: 13.583

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  136 in total

1.  Improved age determination of blood and teeth samples using a selected set of DNA methylation markers.

Authors:  Bram Bekaert; Aubeline Kamalandua; Sara C Zapico; Wim Van de Voorde; Ronny Decorte
Journal:  Epigenetics       Date:  2015-08-17       Impact factor: 4.528

Review 2.  Clinical applications of epigenetics in cardiovascular disease: the long road ahead.

Authors:  Stella Aslibekyan; Steven A Claas; Donna K Arnett
Journal:  Transl Res       Date:  2014-04-08       Impact factor: 7.012

3.  Novel epigenetic determinants of type 2 diabetes in Mexican-American families.

Authors:  Hemant Kulkarni; Mark Z Kos; Jennifer Neary; Thomas D Dyer; Jack W Kent; Harald H H Göring; Shelley A Cole; Anthony G Comuzzie; Laura Almasy; Michael C Mahaney; Joanne E Curran; John Blangero; Melanie A Carless
Journal:  Hum Mol Genet       Date:  2015-06-22       Impact factor: 6.150

Review 4.  Targeting Cell Senescence for the Treatment of Age-Related Bone Loss.

Authors:  Robert J Pignolo; Rebekah M Samsonraj; Susan F Law; Haitao Wang; Abhishek Chandra
Journal:  Curr Osteoporos Rep       Date:  2019-04       Impact factor: 5.096

5.  Development of a multiplex methylation-sensitive restriction enzyme-based SNP typing system for deconvolution of semen-containing mixtures.

Authors:  Zeqin Li; Jintao Li; Yidan Li; Na Liu; Feng Liu; Jianbo Ren; Keming Yun; Jiangwei Yan; Gengqian Zhang
Journal:  Int J Legal Med       Date:  2021-04-04       Impact factor: 2.686

6.  Age-associated DNA methylation changes in naive CD4+ T cells suggest an evolving autoimmune epigenotype in aging T cells.

Authors:  Mikhail G Dozmorov; Patrick Coit; Kathleen Maksimowicz-McKinnon; Amr H Sawalha
Journal:  Epigenomics       Date:  2017-03-21       Impact factor: 4.778

Review 7.  DNA methylation-based variation between human populations.

Authors:  Farzeen Kader; Meenu Ghai
Journal:  Mol Genet Genomics       Date:  2016-11-04       Impact factor: 3.291

Review 8.  Influence of environmental exposure on human epigenetic regulation.

Authors:  Carmen J Marsit
Journal:  J Exp Biol       Date:  2015-01-01       Impact factor: 3.312

9.  Variation in DNA methylation of human blood over a 1-year period using the Illumina MethylationEPIC array.

Authors:  Ina Zaimi; Dong Pei; Devin C Koestler; Carmen J Marsit; Immaculata De Vivo; Shelley S Tworoger; Alexandra E Shields; Karl T Kelsey; Dominique S Michaud
Journal:  Epigenetics       Date:  2018-10-21       Impact factor: 4.528

10.  Age-associated epigenetic change in chimpanzees and humans.

Authors:  Elaine E Guevara; Richard R Lawler; Nicky Staes; Cassandra M White; Chet C Sherwood; John J Ely; William D Hopkins; Brenda J Bradley
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-09-21       Impact factor: 6.237

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