Individual CpG sites that are associated with age and life expectancy become hypomethylated upon aging

BackgroundThere is a growing interest in simple molecular biomarkers for biological aging. Age-associated DNA methylation (DNAm) changes at specific CG dinucleotides can be combined into epigenetic age predictors to estimate chronological age—and the deviation of chronological and predicted age (∆age) seems to be associated with all-cause mortality. In this study, we have further validated this association and analyzed whether or not individual age-associated CG-dinucleotides (CpGs) are related to life expectancy.FindingsIn the German ESTHER cohort, we used 864 DNAm profiles of blood samples as the discovery set and 1000 DNAm profiles as the validation set to predict chronological age with three previously reported age predictors—based on 99, 71, or 353 age-associated CpGs. Several of these individual CpGs were significantly associated with life expectancy, and for some of these CpGs, this was even reproducible in the independent datasets. Notably, those CpGs that revealed significant association with life expectancy were overall rather hypomethylated upon aging.ConclusionIndividual age-associated CpGs may provide biomarkers for all-cause mortality—but confounding factors need to be critically taken into consideration, and alternative methods, which facilitate more quantitative measurements at individual CpGs, might be advantageous. Our data suggest that particularly specific CpGs that become hypomethylated upon aging are indicative of biological aging.

[1]  Steve Horvath,et al.  The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936 , 2015, International journal of epidemiology.

[2]  W. Wagner,et al.  Epigenetic-aging-signature to determine age in different tissues , 2011, Aging.

[3]  Shirley A. Miller,et al.  A simple salting out procedure for extracting DNA from human nucleated cells. , 1988, Nucleic acids research.

[4]  S. Horvath,et al.  DNA methylation age of blood predicts all-cause mortality in later life , 2015, Genome Biology.

[5]  M. Tobin,et al.  Genetic Architecture of Ambulatory Blood Pressure in the General Population: Insights From Cardiovascular Gene-Centric Array , 2010, Hypertension.

[6]  G. Castellani,et al.  Methylation of ELOVL2 gene as a new epigenetic marker of age , 2012, Aging cell.

[7]  S. Horvath,et al.  Decreased epigenetic age of PBMCs from Italian semi-supercentenarians and their offspring , 2015, Aging.

[8]  P. Sullivan,et al.  A methylome-wide study of aging using massively parallel sequencing of the methyl-CpG-enriched genomic fraction from blood in over 700 subjects. , 2014, Human molecular genetics.

[9]  Wolfgang Wagner,et al.  Age-dependent DNA methylation of genes that are suppressed in stem cells is a hallmark of cancer. , 2010, Genome research.

[10]  Ian J. Deary,et al.  DNA methylation levels at individual age-associated CpG sites can be indicative for life expectancy , 2016, Aging.

[11]  Hong Ma,et al.  [Biomarkers of aging]. , 2002, Sheng li ke xue jin zhan [Progress in physiology].

[12]  Steve Horvath,et al.  Epigenetic Predictor of Age , 2011, PloS one.

[13]  P. O’Reilly,et al.  Genome-wide association study identifies eight loci associated with blood pressure , 2009, Nature Genetics.

[14]  T. Ideker,et al.  Genome-wide methylation profiles reveal quantitative views of human aging rates. , 2013, Molecular cell.

[15]  H. Brenner,et al.  Comparison and combination of blood DNA methylation at smoking‐associated genes and at lung cancer‐related genes in prediction of lung cancer mortality , 2016, International journal of cancer.

[16]  B. Korn,et al.  DNA methylation pattern changes upon long-term culture and aging of human mesenchymal stromal cells , 2010, Aging cell.

[17]  Olli Saarela,et al.  Epidemiologic Perspectives & Innovations Open Access Case-cohort Design in Practice – Experiences from the Morgam Project , 2007 .

[18]  D. Belsky,et al.  Quantification of biological aging in young adults , 2015, Proceedings of the National Academy of Sciences.

[19]  Andrew D. Johnson,et al.  Genome-wide association study of blood pressure and hypertension , 2009, Nature Genetics.

[20]  D. Belsky,et al.  Telomere, epigenetic clock, and biomarker-composite quantifications of biological aging: Do they measure the same thing? , 2016, bioRxiv.

[21]  J. Vaupel,et al.  DNA methylation age is associated with mortality in a longitudinal Danish twin study , 2015, Aging cell.

[22]  Hermann Brenner,et al.  Cross-sectional and longitudinal changes in DNA methylation with age: an epigenome-wide analysis revealing over 60 novel age-associated CpG sites. , 2014, Human molecular genetics.

[23]  Ian J Deary,et al.  Cohort profile: the Lothian Birth Cohorts of 1921 and 1936. , 2012, International journal of epidemiology.

[24]  B. Christensen,et al.  Aging and Environmental Exposures Alter Tissue-Specific DNA Methylation Dependent upon CpG Island Context , 2009, PLoS genetics.

[25]  Owen T McCann,et al.  Human aging-associated DNA hypermethylation occurs preferentially at bivalent chromatin domains. , 2010, Genome research.

[26]  Kimberly Walter,et al.  Quantitative comparison of DNA methylation assays for biomarker development and clinical applications , 2016, Nature Biotechnology.

[27]  Raimund Erbel,et al.  Aging of blood can be tracked by DNA methylation changes at just three CpG sites , 2014, Genome Biology.

[28]  H. Brenner,et al.  Epigenetic age acceleration predicts cancer, cardiovascular, and all-cause mortality in a German case cohort , 2016, Clinical Epigenetics.

[29]  E. Andres Houseman,et al.  Reference-free cell mixture adjustments in analysis of DNA methylation data , 2014, Bioinform..

[30]  S. Horvath DNA methylation age of human tissues and cell types , 2013, Genome Biology.

[31]  Steve Horvath,et al.  Obesity accelerates epigenetic aging of human liver , 2014, Proceedings of the National Academy of Sciences.

[32]  Bertrand Friguet,et al.  Mechanisms of Ageing and Development Mark-age Biomarkers of Ageing , 2022 .

[33]  W. Wagner,et al.  Epigenetic Aging Signatures Are Coherently Modified in Cancer , 2015, PLoS genetics.

[34]  H. Brenner,et al.  Frailty prevalence and 10-year survival in community-dwelling older adults: results from the ESTHER cohort study , 2014, European Journal of Epidemiology.

[35]  Ulf Gyllensten,et al.  Continuous Aging of the Human DNA Methylome Throughout the Human Lifespan , 2013, PloS one.