Epigenetic Predictor of Age

WGCNA: an R package for weighted correlation network analysis

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Statistical significance for genomewide studies

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A General Framework for Weighted Gene Co-Expression Network Analysis

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Epigenetic differences arise during the lifetime of monozygotic twins

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Geometric Interpretation of Gene Coexpression Network Analysis

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Age-dependent DNA methylation of genes that are suppressed in stem cells is a hallmark of cancer

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Genome-wide association analysis by lasso penalized logistic regression

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Human aging-associated DNA hypermethylation occurs preferentially at bivalent chromatin domainsPreprint

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DNA methylation age of human tissues and cell types

Horvath, S. (2013) · Genome Biology · doi:10.1186/gb-2013-14-10-r115 · Cited by 7,075

Genome-wide methylation profiles reveal quantitative views of human aging rates

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An epigenetic biomarker of aging for lifespan and healthspan

Levine, M. E., Lu, A. T., Quach, A., Chen, B. H., Assimes, T. L., Bandinelli, S., Hou, L., Baccarelli, A. A., Stewart, J. D., Li, Y., et al. (2018) · Aging · doi:10.18632/aging.101414 · Cited by 3,675

Inflammaging: a new immune–metabolic viewpoint for age-related diseases

Franceschi, C., Garagnani, P., Parini, P., Giuliani, C., & Santoro, A. (2018) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0059-4 · Cited by 3,586

DNA methylation arrays as surrogate measures of cell mixture distribution

Houseman, E. A., Accomando, W. P., Koestler, D. C., Christensen, B. C., Marsit, C. J., Nelson, H. H., Wiencke, J. K., & Kelsey, K. T. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-86 · Cited by 3,175

DNA methylation-based biomarkers and the epigenetic clock theory of ageing

Horvath, S., & Raj, K. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0004-3 · Cited by 3,095

Next-Generation Sequencing Technology: Current Trends and Advancements

Satam, H., Joshi, K., Mangrolia, U., Waghoo, S., Zaidi, G., Rawool, S., Thakare, R. P., Banday, S., Mishra, A. K., Das, G., et al. (2023) · Biology · doi:10.3390/biology12070997 · Cited by 1,299

DNA methylation-based measures of biological age: meta-analysis predicting time to death

Chen, B. H., Marioni, R. E., Colicino, E., Peters, M. J., Ward-Caviness, C. K., Tsai, P.-C., Roetker, N. S., Just, A. C., Demerath, E. W., Guan, W., et al. (2016) · Aging · doi:10.18632/aging.101020 · Cited by 1,126

DNA methylation aging clocks: challenges and recommendations

Bell, C. G., Lowe, R., Adams, P. D., Baccarelli, A. A., Beck, S., Bell, J. T., Christensen, B. C., Gladyshev, V. N., Heijmans, B. T., Horvath, S., et al. (2019) · Genome Biology · doi:10.1186/s13059-019-1824-y · Cited by 1,025

DNA methylation and healthy human aging

Jones, M. J., Goodman, S. J., & Kobor, M. S. (2015) · Aging Cell · doi:10.1111/acel.12349 · Cited by 973

Aging of blood can be tracked by DNA methylation changes at just three CpG sites

Weidner, C. I., Lin, Q., Koch, C. M., Eisele, L., Beier, F., Ziegler, P., Bauerschlag, D. O., Jöckel, K.-H., Erbel, R., Mühleisen, T. W., et al. (2014) · Genome Biology · doi:10.1186/gb-2014-15-2-r24 · Cited by 837

Brain age predicts mortality

Cole, J. H., Ritchie, S. J., Bastin, M. E., Hernández, M. C. V., Maniega, S. M., Royle, N. A., Corley, J., Pattie, A., Harris, S. E., Zhang, Q., et al. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.62 · Cited by 848

Epigenetic clock for skin and blood cells applied to Hutchinson Gilford Progeria Syndrome and ex vivo studies

Horvath, S., Oshima, J., Martin, G. M., Lu, A. T., Quach, A., Cohen, H., Felton, S., Matsuyama, M., Lowe, D., Kabacik, S., et al. (2018) · Aging · doi:10.18632/aging.101508 · Cited by 815

Epigenetic clock analysis of diet, exercise, education, and lifestyle factors

Quach, A., Levine, M. E., Tanaka, T., Lu, A. T., Chen, B. H., Ferrucci, L., Ritz, B., Bandinelli, S., Neuhouser, M. L., Beasley, J. M., et al. (2017) · Aging · doi:10.18632/aging.101168 · Cited by 801

Epigenome-Wide Scans Identify Differentially Methylated Regions for Age and Age-Related Phenotypes in a Healthy Ageing Population

Bell, J. T., Tsai, P.-C., Yang, T.-P., Pidsley, R., Nisbet, J. P., Glass, D., Mangino, M., Zhai, G., Zhang, F., Valdes, A. M., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002629 · Cited by 700

Biomarkers of aging for the identification and evaluation of longevity interventions

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Epigenetic regulation of aging: implications for interventions of aging and diseases

Kang, W., Liu, H., Hu, Q., Wang, L., Liu, J., Zheng, Z., Zhang, W., Ren, J., Zhu, F., & Liu, G. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01211-8 · Cited by 732

Salivary Biomarkers: Toward Future Clinical and Diagnostic Utilities

Yoshizawa, J., Schafer, C. A., Schafer, J. J., Farrell, J. J., Paster, B. J., & Wong, D. T. (2013) · Clinical Microbiology Reviews · doi:10.1128/cmr.00021-13 · Cited by 704

DNA Methylation Clocks in Aging: Categories, Causes, and Consequences

Field, A. E., Robertson, N., Wang, T., Havas, A. P., Ideker, T., & Adams, P. D. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.08.008 · Cited by 644

A Six Months Exercise Intervention Influences the Genome-wide DNA Methylation Pattern in Human Adipose Tissue

Rönn, T., Volkov, P., Davegårdh, C., Dayeh, T., Hall, E., Olsson, A. H., Nilsson, E., Tornberg, Å. B., Nitert, M. D., Eriksson, K., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003572 · Cited by 637

Ten Years of BrainAGE as a Neuroimaging Biomarker of Brain Aging: What Insights Have We Gained?

Franke, K., & Gaser, C. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00789 · Cited by 636

Epigenetic regulation of ageing: linking environmental inputs to genomic stability

Benayoun, B. A., Pollina, E. A., & Brunet, A. (2015) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm4048 · Cited by 610

A systematic review of biological, social and environmental factors associated with epigenetic clock acceleration

Oblak, L., van der Zaag, J., Higgins‐Chen, A., Levine, M. E., & Boks, M. P. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101348 · Cited by 610

Sexual Orientation, Controversy, and Science

Bailey, J. M., Vasey, P. L., Diamond, L. M., Breedlove, S. M., Vilain, E. J. N., & Epprecht, M. (2016) · Gothic.net · doi:10.1177/1529100616637616 · Cited by 644

Measuring biological age using omics data

Rutledge, J., Oh, H., & Wyss-Coray, T. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00511-7 · Cited by 570

Plasma proteomic signature of age in healthy humans

Tanaka, T., Biancotto, A., Moaddel, R., Moore, A. Z., Gonzalez‐Freire, M., Aon, M. A., Candia, J., Zhang, P., Cheung, F., Fantoni, G., et al. (2018) · Aging Cell · doi:10.1111/acel.12799 · Cited by 562

The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936

Marioni, R. E., Shah, S. H., McRae, A. F., Ritchie, S. J., Terrera, G. M., Harris, S. E., Gibson, J., Redmond, P. H., Cox, S. R., Pattie, A., et al. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyu277 · Cited by 549

HIV-1 infection accelerates age according to the epigenetic clock

Horvath, S., & Levine, A. J. (2015) · Journal of Infectious Diseases · doi:10.1093/infdis/jiv277 · Cited by 556

Aging and DNA methylation

Jung, M., & Pfeifer, G. P. (2015) · BMC Biology · doi:10.1186/s12915-015-0118-4 · Cited by 563

Menopause accelerates biological aging

Levine, M. E., Lu, A. T.-H., Chen, B. H., Hernandez, D. G., Singleton, A., Ferrucci, L., Bandinelli, S., Salfati, E., Manson, J. E., Quach, A., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1604558113 · Cited by 510

A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking

Higgins-Chen, A. T., Thrush, K. L., Wang, Y., Minteer, C. J., Kuo, P.-L., Wang, M., Niimi, P., Sturm, G., Lin, J., Moore, A. Z., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00248-2 · Cited by 502

The ageing epigenome and its rejuvenation

Zhang, W., Qu, J., Liu, G.-H., & Belmonte, J. C. I. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0204-5 · Cited by 458

Methylation of ELOVL 2 gene as a new epigenetic marker of age

Garagnani, P., Bacalini, M. G., Pirazzini, C., Gori, D., Giuliani, C., Mari, D., Di Blasio, A. M., Gentilini, D., Vitale, G., Collino, S., et al. (2012) · Aging Cell · doi:10.1111/acel.12005 · Cited by 473

Lifetime stress accelerates epigenetic aging in an urban, African American cohort: Relevance of glucocorticoid signaling

Zannas, A. S., Arloth, J., Carrillo-Roa, T., Iurato, S., Röh, S., Ressler, K. J., Nemeroff, C. B., Smith, A. K., Bradley, B., Heim, C., et al. (2015) · Genome Biology · doi:10.1186/s13059-015-0828-5 · Cited by 469

Integrative Analysis of Multi-omics Data for Discovery and Functional Studies of Complex Human Diseases

Sun, Y. V., & Hu, Y.-J. (2016) · Advances in Genetics · doi:10.1016/bs.adgen.2015.11.004 · Cited by 459

From Social Structure to Gene Regulation, and Back: A Critical Introduction to Environmental Epigenetics for Sociology

Landecker, H., & Panofsky, A. (2013) · Annual Review of Sociology · doi:10.1146/annurev-soc-071312-145707 · Cited by 465

Disease-associated epigenetic changes in monozygotic twins discordant for schizophrenia and bipolar disorder

Dempster, E. L., Pidsley, R., Schalkwyk, L. C., Owens, S., Georgiades, A., Kane, F., Kalidindi, S., Picchioni, M., Kravariti, E., Toulopoulou, T., et al. (2011) · Human Molecular Genetics · doi:10.1093/hmg/ddr416 · Cited by 460

Forensic DNA Phenotyping: Predicting human appearance from crime scene material for investigative purposes

Kayser, M. (2015) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2015.02.003 · Cited by 475

Genetic and environmental influences interact with age and sex in shaping the human methylome

van Dongen, J., Nivard, M. G., Willemsen, G. A. H. M., Hottenga, J., Helmer, Q., Dolan, C. V., Ehli, E. A., Davies, G. E., van Iterson, M., Breeze, C. E., et al. (2016) · Nature Communications · doi:10.1038/ncomms11115 · Cited by 411

Universal DNA methylation age across mammalian tissues

Lu, A. T.-H., Fei, Z., Haghani, A., Robeck, T. R., Zoller, J. A., Li, C. Z., Lowe, R., Yan, Q. J., Zhang, J., Vu, H., et al. (2023) · Nature Aging · doi:10.1038/s43587-023-00462-6 · Cited by 510

The Role of DNA Methylation in Aging, Rejuvenation, and Age-Related Disease

Johnson, A. A., Akman, K., Calimport, S., Wuttke, D., Stolzing, A., & de Magalhães, J. P. (2012) · Rejuvenation Research · doi:10.1089/rej.2012.1324 · Cited by 399

The epigenetics of aging and neurodegeneration

Lardenoije, R., Iatrou, A., Kenis, G., Kompotis, K., Steinbusch, H. W. M., Mastroeni, D., Coleman, P., Lemere, C. A., Hof, P. R., van den Hove, D. L. A., et al. (2015) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2015.05.002 · Cited by 381

Biomarkers of aging

Bao, H., Cao, J., Chen, M., Min, C., Chen, W., Chen, X., Chen, Y., Chen, Y., Chen, Y., Chen, Z., et al. (2023) · Science China Life Sciences · doi:10.1007/s11427-023-2305-0 · Cited by 402

The role of DNA methylation in epigenetics of aging

Unnikrishnan, A., Freeman, W. M., Jackson, J. A., Wren, J. D., Porter, H. L., & Richardson, A. G. (2018) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2018.11.001 · Cited by 394

Transgenerational inheritance: Models and mechanisms of non–DNA sequence–based inheritance

Miska, E. A., & Ferguson-Smith, A. C. (2016) · Science · doi:10.1126/science.aaf4945 · Cited by 367

Development of a forensically useful age prediction method based on DNA methylation analysis

Zbieć-Piekarska, R., Spólnicka, M., Kupiec, T., Parys-Proszek, A., Makowska, Ż., Pałeczka, A., Kucharczyk, K., Płoski, R., & Branicki, W. (2015) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2015.05.001 · Cited by 357

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

Florath, I., Butterbach, K., Müller, H., Bewerunge‐Hudler, M., & Brenner, H. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt531 · Cited by 335

Neuroanatomical Assessment of Biological Maturity

Brown, T. T., Kuperman, J. M., Chung, Y., Erhart, M., McCabe, C., Hagler, D. J., Venkatraman, V. K., Akshoomoff, N., Amaral, D. G., Bloss, C. S., et al. (2012) · Current Biology · doi:10.1016/j.cub.2012.07.002 · Cited by 332

Epigenetic-aging-signature to determine age in different tissues

Koch, C., & Wagner, W. (2011) · Aging · doi:10.18632/aging.100395 · Cited by 322

Molecular and biological hallmarks of ageing

Aunan, J. R., Watson, M. M., Hagland, H. R., & Søreide, K. (2016) · British journal of surgery · doi:10.1002/bjs.10053 · Cited by 341

Environmental epigenetics: prospects for studying epigenetic mediation of exposure–response relationships

Cortessis, V. K., Thomas, D. C., Levine, A. J., Breton, C. V., Mack, T. M., Siegmund, K. D., Haile, R. W., & Laird, P. W. (2012) · Human Genetics · doi:10.1007/s00439-012-1189-8 · Cited by 319

Age-associated epigenetic drift: implications, and a case of epigenetic thrift?

Teschendorff, A. E., West, J., & Beck, S. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt375 · Cited by 330

Decreased epigenetic age of PBMCs from Italian semi-supercentenarians and their offspring

Horvath, S., Pirazzini, C., Bacalini, M. G., Gentilini, D., Di Blasio, A. M., Delledonne, M., Mari, D., Arosio, B., Monti, D., Passarino, G., et al. (2015) · Aging · doi:10.18632/aging.100861 · Cited by 316

DNA methylation age is associated with mortality in a longitudinal Danish twin study

Christiansen, L., Lenart, A. G., Tan, Q., Vaupel, J. W., Aviv, A., McGue, M. K., & Christensen, K. (2015) · Aging Cell · doi:10.1111/acel.12421 · Cited by 309

Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

McCartney, D. L., Min, J. L., Richmond, R. C., Lu, A. T.-H., Sobczyk, M., Davies, G., Broer, L., Guo, X., Jeong, A., Jung, J., et al. (2021) · Genome biology · doi:10.1186/s13059-021-02398-9 · Cited by 310

An epigenetic clock for gestational age at birth based on blood methylation data

Knight, A. K., Craig, J. M., Theda, C., Bækvad‐Hansen, M., Bybjerg‐Grauholm, J., Hansen, C. S., Hollegaard, M. V., HOUGAARD, D. M., Mortensen, P. B., Weinsheimer, S., et al. (2016) · Genome biology · doi:10.1186/s13059-016-1068-z · Cited by 295

The epigenetic clock and telomere length are independently associated with chronological age and mortality

Marioni, R. E., Harris, S. E., Shah, S. H., McRae, A. F., von Zglinicki, T., Martin-Ruiz, C. M., Wray, N. R., Visscher, P. M., & Deary, I. J. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw041 · Cited by 280

Caloric restriction delays age-related methylation drift

Maegawa, S., Lu, Y., Tahara, T., Lee, J. T., Madzo, J., Liang, S., Jelinek, J., Colman, R. J., & Issa, J.-P. J. (2017) · Nature Communications · doi:10.1038/s41467-017-00607-3 · Cited by 270

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

Bekaert, B., Kamalandua, A., Zapico, S. C., de Voorde, W. V., & Decorte, R. (2015) · Epigenetics · doi:10.1080/15592294.2015.1080413 · Cited by 238

Making sense of the ageing methylome

Seale, K., Horvath, S., Teschendorff, A., Eynon, N., & Voisin, S. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00477-6 · Cited by 274

Neonatal DNA methylation profile in human twins is specified by a complex interplay between intrauterine environmental and genetic factors, subject to tissue-specific influencePreprint

Gordon, L., Joo, J. E., Powell, J. E., Ollikainen, M., Novakovic, B., Li, X., Andronikos, R. H., Cruickshank, M. N., Conneely, K. N., Smith, A. K., et al. (2012) · Genome Research · doi:10.1101/gr.136598.111 · Cited by 276

Landscape of DNA methylation on the X chromosome reflects CpG density, functional chromatin state and X-chromosome inactivation

Cotton, A. M., Price, E. M., Jones, M. J., Balaton, B. P., Kobor, M. S., & Brown, C. J. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu564 · Cited by 261

Reconfiguration of DNA methylation in aging

Zampieri, M., Ciccarone, F., Calabrese, R., Franceschi, C., Bürkle, A., & Caiafa, P. (2015) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2015.02.002 · Cited by 254

DNA methylation levels at individual age-associated CpG sites can be indicative for life expectancy

Lin, Q., Weidner, C. I., Costa, I. G., Marioni, R. E., Ferreira, M. R. P., Deary, I. J., & Wagner, W. (2016) · Aging · doi:10.18632/aging.100908 · Cited by 247

Prenatal and early life influences on epigenetic age in children: A study of mother–offspring pairs from two cohort studies

Simpkin, A. J., Hemani, G., Suderman, M., Gaunt, T. R., Lyttleton, O., Mcardle, W. L., Ring, S. M., Sharp, G. C., Tilling, K., Horvath, S., et al. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddv456 · Cited by 246

DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing

Vidaki, A., Ballard, D., Aliferi, A., Miller, T. H., Barron, L., & Court, D. S. (2017) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2017.02.009 · Cited by 246

Huntington's disease accelerates epigenetic aging of human brain and disrupts DNA methylation levels

Horvath, S., Langfelder, P., Kwak, S., Aaronson, J., Rosinski, J., Vogt, T., Eszes, M., Faull, R. L. M., Curtis, M. A., Waldvogel, H. J., et al. (2016) · Aging · doi:10.18632/aging.101005 · Cited by 250

Examination of DNA methylation status of the ELOVL2 marker may be useful for human age prediction in forensic science

Zbieć-Piekarska, R., Spólnicka, M., Kupiec, T., Makowska, Ż., Spas, A., Parys-Proszek, A., Kucharczyk, K., Płoski, R., & Branicki, W. (2014) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2014.10.002 · Cited by 243

Childhood exposure to violence and lifelong health: Clinical intervention science and stress-biology research join forces

Moffitt, T. E., & Tank, T. K.-G. 2. T. (2013) · Development and Psychopathology · doi:10.1017/s0954579413000801 · Cited by 263

DNA methylation-based predictors of health: applications and statistical considerations

Yousefi, P., Suderman, M. J., Langdon, R., Whitehurst, O., Smith, G. D., & Relton, C. L. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00465-w · Cited by 233

Underlying features of epigenetic aging clocks in vivo and in vitro.

Liu, Z., Leung, D., Thrush, K., Zhao, W., Ratliff, S., Tanaka, T., Schmitz, L. L., Smith, J. A., Ferrucci, L., & Levine, M. E. (2020) · Aging Cell · doi:10.1111/acel.13229 · Cited by 227

DNA methylation‐based biological aging and cancer risk and survival: Pooled analysis of seven prospective studies

Dugué, P., Bassett, J. K., Joo, J. E., Jung, C., Wong, E. M., Moreno‐Betancur, M., Schmidt, D. F., Makalic, E., Li, S., Severi, G., et al. (2017) · International Journal of Cancer · doi:10.1002/ijc.31189 · Cited by 214

Plasma proteomic biomarker signature of age predicts health and life span

Tanaka, T., Basisty, N., Fantoni, G., Candia, J., Moore, A. Z., Biancotto, A., Schilling, B., Bandinelli, S., & Ferrucci, L. (2020) · eLife · doi:10.7554/elife.61073 · Cited by 213

Associations of Age, Sex, Race/Ethnicity, and Education With 13 Epigenetic Clocks in a Nationally Representative U.S. Sample: The Health and Retirement Study

Crimmins, E. M., Thyagarajan, B., Levine, M. E., Weir, D. R., & Faul, J. (2021) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glab016 · Cited by 213

Epigenetic ageing clocks: statistical methods and emerging computational challenges

Teschendorff, A. E., & Horvath, S. (2025) · Nature Reviews Genetics · doi:10.1038/s41576-024-00807-w · Cited by 226

A multi-tissue full lifespan epigenetic clock for mice

Thompson, M. J., Chwiałkowska, K., Rubbi, L., Lusis, A. J., Davis, R. C., Srivastava, A., Korstanje, R., Churchill, G. A., Horvath, S., & Pellegrini, M. (2018) · Aging · doi:10.18632/aging.101590 · Cited by 203

Application of Next-Generation Sequencing Technology in Forensic Science

Yang, Y., Xie, B., & Yan, J. (2014) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2014.09.001 · Cited by 215

DNA methylation of the ELOVL2, FHL2, KLF14, C1orf132/MIR29B2C, and TRIM59 genes for age prediction from blood, saliva, and buccal swab samples

Jung, S.-E., Lim, S. M., Hong, S. R., Lee, E. H., Shin, K.-J., & Lee, H. Y. (2019) · Forensic Science International: Genetics · doi:10.1016/j.fsigen.2018.09.010 · Cited by 202

Epigenetics and Oxidative Stress in Aging

Guillaumet-Adkins, A., Yáñez, Y., Peris‐Díaz, M. D., Calabria, I., Palanca-Ballester, C., & Sandoval, J. (2017) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2017/9175806 · Cited by 196

The cerebellum ages slowly according to the epigenetic clock

Horvath, S., Mah, V., Lu, A. T., Woo, J. S., Choi, O.-W., Jasinska, A. J., Riancho, J. A., Tung, S., Coles, N. S., Braun, J., et al. (2015) · Aging · doi:10.18632/aging.100742 · Cited by 191

Lamarck rises from his grave: parental environment‐induced epigenetic inheritance in model organisms and humans

Wang, Y., Liu, H., & Sun, Z. S. (2017) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12322 · Cited by 200

Methylation-Based Biological Age and Breast Cancer Risk

Kresovich, J. K., Xu, Z., O’Brien, K. M., Weinberg, C. R., Sandler, D. P., & Taylor, J. A. (2019) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djz020 · Cited by 195

Biohorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities

Galkin, F., Mamoshina, P., Aliper, A., de Magalhães, J. P., Gladyshev, V. N., & Zhavoronkov, A. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101050 · Cited by 189

Longitudinal, genome-scale analysis of DNA methylation in twins from birth to 18 months of age reveals rapid epigenetic change in early life and pair-specific effects of discordance

Martino, D., Loke, Y. J., Gordon, L., Ollikainen, M., Cruickshank, M. N., Saffery, R., & Craig, J. M. (2013) · Genome biology · doi:10.1186/gb-2013-14-5-r42 · Cited by 194

Molecular approaches for forensic cell type identification: On mRNA, miRNA, DNA methylation and microbial markers

Sijen, T. (2014) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2014.11.015 · Cited by 194

Ageing, genes, environment and epigenetics: what twin studies tell us now, and in the future

Steves, C. J., Spector, T. D., & Jackson, S. H. (2012) · Age and Ageing · doi:10.1093/ageing/afs097 · Cited by 212

Age-related profiling of DNA methylation in CD8+ T cells reveals changes in immune response and transcriptional regulator genes

Tserel, L., Kolde, R., Limbach, M., Tretyakov, K., Kasela, S., Kisand, K. E., Saare, M., Vilo, J., Metspalu, A., Milani, L. A., et al. (2015) · Scientific Reports · doi:10.1038/srep13107 · Cited by 185

Epigenetic estimation of age in humpback whales

Polanowski, A. M., Robbins, J., Chandler, D., & Jarman, S. (2014) · Molecular Ecology Resources · doi:10.1111/1755-0998.12247 · Cited by 193

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

Dugué, P., Bassett, J. K., Joo, J. E., Baglietto, L., Jung, C.-H., Wong, E. M., Fiorito, G., Schmidt, D. F., Makalic, E., Li, S., et al. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx291 · Cited by 182

Epigenetic age prediction

Simpson, D. J., & Chandra, T. (2021) · Aging Cell · doi:10.1111/acel.13452 · Cited by 195

Epigenetic Control of Stem Cell Potential during Homeostasis, Aging, and Disease

Beerman, I., & Rossi, D. J. (2015) · Cell stem cell · doi:10.1016/j.stem.2015.05.009 · Cited by 182

A Systematic Review and Meta-analysis of Environmental, Lifestyle, and Health Factors Associated With DNA Methylation Age

Ryan, J. L., Wrigglesworth, J., Loong, J., Fransquet, P., & Woods, R. L. (2019) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz099 · Cited by 178

Genome‐wide DNA methylation changes with age in disease‐free human skeletal muscle

Zykovich, A., Hubbard, A., Flynn, J. M., Tarnopolsky, M. A., Fraga, M. F., Kerksick, C. M., Ogborn, D. I., MacNeil, L., Mooney, S. D., & Melov, S. (2013) · Aging Cell · doi:10.1111/acel.12180 · Cited by 179

DNA methylation-based age prediction from saliva: High age predictability by combination of 7 CpG markers

Hong, S. R., Jung, S.-E., Lee, E. H., Shin, K., Yang, W. I., & Lee, H. Y. (2017) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2017.04.006 · Cited by 178

Incorporating epigenetic data into the risk assessment process for the toxic metals arsenic, cadmium, chromium, lead, and mercury: strategies and challenges

Ray, P. D., Yosim, A. E., & Fry, R. C. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00201 · Cited by 181

Chronological age prediction based on DNA methylation: Massive parallel sequencing and random forest regression

Naue, J., Hoefsloot, H. C. J., Mook, O. R. F., Rijlaarsdam-Hoekstra, L., van der Zwalm, M. C. H., Henneman, P., Kloosterman, A., & Verschure, P. J. (2017) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2017.07.015 · Cited by 178

A whole lifespan mouse multi-tissue DNA methylation clock

Meer, M. V., Podolskiy, D. I., Tyshkovskiy, A., & Gladyshev, V. N. (2018) · eLife · doi:10.7554/elife.40675 · Cited by 176

Epigenetics for Crop Improvement in Times of Global Change

Kakoulidou, I., Avramidou, E. V., Baránek, M., Brunel‐Muguet, S., Farrona, S., Johannes, F. M., Kaiserli, E., Lieberman‐Lazarovich, M., Martinelli, F., Mladenov, V., et al. (2021) · Biology · doi:10.3390/biology10080766 · Cited by 185

Epigenetic Aging and Immune Senescence in Women With Insomnia Symptoms: Findings From the Women’s Health Initiative Study

Carroll, J. E., Irwin, M. R., Levine, M., Seeman, T. E., Absher, D., Assimes, T., & Horvath, S. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.07.008 · Cited by 173

Aging and reprogramming: a two-way street

Mahmoudi, S., & Brunet, A. (2012) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2012.10.004 · Cited by 171

Epigenetic predictors of age

Lin, W. H., Profile, S., Sanchez, F., Horvath, S., Vilain, E. J. N., Bockl, S., Lin, W. X., Sehl, M. E., Sánchez, F. J., Sinsheimer, J. S., et al. (2011)

Detection and evaluation of DNA methylation markers found at SCGN and KLF14 loci to estimate human age

Alghanim, H., Antunes, J., Silva, D. S. B. S., Alho, C. S., Balamurugan, K., & McCord, B. R. (2017) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2017.07.011 · Cited by 64

Age-related DNA methylation changes for forensic age-prediction

Yi, S.-H., Jia, Y.-S., Mei, K., Yang, R.-Z., & Huang, D.-X. (2015) · Zeitschrift für Rechtsmedizin · doi:10.1007/s00414-014-1100-3 · Cited by 41

Isolation and identification of age-related DNA methylation markers for forensic age-prediction.

Yi, S.-H., Xu, L.-C., Mei, K., Yang, R.-Z., & Huang, D.-X. (2014) · Forensic Science International: Genetics · doi:10.1016/j.fsigen.2014.03.006 · Cited by 62

Epigenetic age estimation in saliva and in buccal cells

Ambroa-Conde, A., Girón-Santamaría, L., Mosquera‐Miguel, A., Phillips, C., de Cal, M. C., Gómez‐Tato, A., Álvarez-Dios, J., de la Puente, M., Ruiz-Ramírez, J., Lareu, M. V., et al. (2022) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2022.102770 · Cited by 51