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DNA methylation-based measures of biological age: meta-analysis predicting time to death
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Aging | doi:10.18632/aging.101020. Brian H. Chen, Riccardo E. Marioni, Elena Colicino, Marjolein J. Peters, Cavin K. Ward-Caviness, Pei-Chien Tsai, Nicholas S. Roetker, Allan C. Just, Ellen W. Demerath, Weihua Guan, Jan Bressler, Myriam Fornage, Stephanie Studenski, Amy R. Vandiver, Ann Zenobia Moore, Toshiko Tanaka, Douglas P. Kiel, Liming Liang, Pantel Vokonas, Joel Schwartz, Kathryn L. Lunetta, Joanne M. Murabito, Stefania Bandinelli, Dena G. Hernandez, David Melzer, Michael Nalls, Luke C. Pilling, Timothy R. Price, Andrew B. Singleton, Christian Gieger, Rolf Holle, Anja Kretschmer, Florian Kronenberg, Sonja Kunze, Jakob Linseisen, Christine Meisinger, Wolfgang Rathmann, Melanie Waldenberger, Peter M. Visscher, Sonia Shah, Naomi R. Wray, Allan F. McRae, Oscar H. Franco, Albert Hofman, André G. Uitterlinden, Devin Absher, Themistocles Assimes, Morgan E. Levine, Ake T. Lu, Philip S. Tsao, Lifang Hou, JoAnn E. Manson, Cara L. Carty, Andrea Z. LaCroix, Alexander P. Reiner, Tim D. Spector, Andrew P. Feinberg, Daniel Levy, Andrea Baccarelli, Joyce van Meurs, Jordana T. Bell, Annette Peters, Ian J. Deary, James S. Pankow, Luigi Ferrucci, Steve Horvath
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“These clocks were highly accurate in predicting the chronological age of new samples and also showed some capacity for predicting differences in mortality risk, although effect sizes tend to be small and inconsistent across studies56–58.”
From Effect of long-term caloric restriction on DNA methylation measures of biological aging in healthy adults from the CALERIE trial (2023) · cites this paper as [58]
Experimental — accuracy not yet measuredIn the citing paper
“These hypotheses have been supported by observations that individuals with positive age gaps, termed age acceleration, are at greater risk of mortality and some diseases of ageing such as heart disease, metabolic syndrome and certain cancers46–50.”
From Measuring biological age using omics data (2022) · cites this paper as [46]
In the citing paper
“However, mortality risk, which is widely used as a measure of ‘global’ biological age, has shown an overall weak and variable association with these clocks46,58, which raises questions as to what biology they actually measure.”
From Measuring biological age using omics data (2022) · cites this paper as [46]
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Cites
Conducting Meta-Analyses in R with the metafor Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464
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
Self-citationInflamm‐aging: An Evolutionary Perspective on Immunosenescence
FRANCESCHI, C., BONAFÈ, M., VALENSIN, S., OLIVIERI, F., DE LUCA, M., OTTAVIANI, E., & DE BENEDICTIS, G. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06651.x · Cited by 5,358
Genome-wide methylation profiles reveal quantitative views of human aging rates
Hannum, G., Guinney, J., Zhao, L., Zhang, L., Hughes, G., Sadda, S., Klotzle, B., Bibikova, M., Fan, J.-B., Gao, Y., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2012.10.016 · Cited by 4,270
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 age of blood predicts all-cause mortality in later life
Marioni, R. E., Shah, S., McRae, A. F., Chen, B. H., Colicino, E., Harris, S. E., Gibson, J., Henders, A. K., Redmond, P., Cox, S. R., et al. (2015) · Genome Biology · doi:10.1186/s13059-015-0584-6 · Cited by 1,261
Self-citationThe aging immune system: primer and prospectus
Miller, R. A. (1996) · Science · doi:10.1126/science.273.5271.70 · Cited by 1,165
Bocklandt, S., Lin, W., Sehl, M. E., Sánchez, F. J., Sinsheimer, J. S., Horvath, S., & Vilain, E. (2011) · PLoS ONE · doi:10.1371/journal.pone.0014821 · Cited by 1,012
Self-citationFerrucci, L., Bandinelli, S., Benvenuti, E., Iorio, A. D., Macchi, C., Harris, T. B., & Guralnik, J. M. (2000) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2000.tb03873.x · Cited by 797
Self-citationObesity accelerates epigenetic aging of human liver
Horvath, S., Erhart, W., Brosch, M., Ammerpohl, O., Schönfels, W. V., Ahrens, M., Heits, N., Bell, J. T., Tsai, P.-C., Spector, T. D., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1412759111 · Cited by 760
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Shiau, S., Arpadi, S. M., Shen, Y., Cantos, A., Ramon, C. V., Shah, J., Jang, G., Manly, J. J., Brickman, A. M., Baccarelli, A., et al. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciab563 · Cited by 34
Self-citationStressful life events and accelerated biological aging over time in youths
Sumner, J. A., Gao, X., Gambazza, S., Dye, C. K., Colich, N. L., Baccarelli, A., Uddin, M., & McLaughlin, K. A. (2023) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2023.106058 · Cited by 31
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Hajishengallis, G., & Chavakis, T. (2026) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-025-00936-y · Cited by 37
Developing a toolkit for the assessment and monitoring of musculoskeletal ageing
Kemp, G. J., Birrell, F. N., Clegg, P., Cuthbertson, D. J., VITO, G. D., van Dieën, J. H., Din, S. D., Eastell, R., Garnero, P., Goljanek‐Whysall, K., et al. (2018) · Age and Ageing · doi:10.1093/ageing/afy143 · Cited by 32
Beydoun, M. A., Hossain, S. A., Chitrala, K. N., Tajuddin, S. M., Beydoun, H. A., Evans, M. K., & Zonderman, A. B. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.06.032 · Cited by 31
Blood DNA methylation sites predict death risk in a longitudinal study of 12, 300 individuals
Colicino, E., Marioni, R. E., Ward-Caviness, C. K., Gondalia, R., Guan, W., Chen, B. H., Tsai, P.-C., Huan, T., Gao, X., Agha, G., et al. (2020) · Aging · doi:10.18632/aging.103408 · Cited by 28
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Zheng, C., Berger, N. A., Li, L., & Xu, R. (2020) · PLoS ONE · doi:10.1371/journal.pone.0236045 · Cited by 31
Telomere length and epigenetic age acceleration in adolescents with anxiety disorders
de Baumont, A. C., Hoffmann, M. S., Bortoluzzi, A., Fries, G. R., Lavandoski, P., Grün, L. K., Guimarães, L. S. P., Guma, F. T. C. R., Salum, G. A., Barbé‐Tuana, F. M., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-87045-w · Cited by 31
Epidemiological and genetic overlap among biological aging clocks: New challenges in biogerontology
Gialluisi, A., Santoro, A., Tirozzi, A., Cerletti, C., Donati, M. B., de Gaetano, G., Franceschi, C., & Iacoviello, L. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101502 · Cited by 31
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Larison, B., de Pinho, G. M., Haghani, A., Zoller, J. A., Li, C. Z., Finno, C. J., Farrell, C. P., Kaelin, C. B., Barsh, G. S., Wooding, B., et al. (2021) · Communications Biology · doi:10.1038/s42003-021-02935-z · Cited by 32
Self-citationDong, Q., Song, N., Qin, N., Chen, C., Li, Z., Sun, X., Easton, J. B., Mulder, H. L., Plyler, E. M., Neale, G. A. M., et al. (2022) · Genome Medicine · doi:10.1186/s13073-022-01038-6 · Cited by 28
Beynon, R. A., Ingle, S. M., Langdon, R., May, M., Ness, A., Martin, R. M., Suderman, M. J., Ingarfield, K., Marioni, R. E., McCartney, D. L., et al. (2022) · Clinical Epigenetics · doi:10.1186/s13148-021-01220-4 · Cited by 32
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Choi, H., Joe, S., & Nam, H. (2019) · Genes · doi:10.3390/genes10110888 · Cited by 28
Aging as a loss of morphostatic information: A developmental bioelectricity perspective
Pio‐Lopez, L., & Levin, M. G. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102310 · Cited by 36
DNA Methylation-derived biological age and long-term mortality risk in subjects with type 2 diabetes
Sabbatinelli, J., Giuliani, A., Kwiatkowska, K. M., Matacchione, G., Belloni, A., Ramini, D., Prattichizzo, F., Pellegrini, V., Piacenza, F., Tortato, E., et al. (2024) · Cardiovascular Diabetology · doi:10.1186/s12933-024-02351-7 · Cited by 31
Aging: therapeutics for a healthy future
Hodgson, R. A., Kennedy, B. K., Masliah, E., Scearce-Levie, K. A., Tate, B. A., Venkateswaran, A., & Braithwaite, S. P. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.11.021 · Cited by 30
Age-associated changes in the circulating human antibody repertoire are upregulated in autoimmunity
Arvey, A. J., Rowe, M., Legutki, J. B., An, G., Gollapudi, A., Lei, A., Colston, B. W., Putterman, C., Smith, D. S., Stiles, J., et al. (2020) · Immunity & Ageing · doi:10.1186/s12979-020-00193-x · Cited by 30
Biological Age Acceleration Is Lower in Women With Ischemic Stroke Compared to Men
Gallego-Fábrega, C., Muiño, E., Cullell, N., Cárcel‐Márquez, J., Lazcano, U., Soriano‐Tárraga, C., Lledós, M., Llucià‐Carol, L., Aguilera‐Simón, A., Marín, R., et al. (2022) · Stroke · doi:10.1161/strokeaha.121.037419 · Cited by 27
Biological clocks and physical functioning in monozygotic female twins
Sillanpää, E., Laakkonen, E. K., Vaara, E. M., Rantanen, T., Kovanen, V., Sipilä, S., Kaprio, J. A., & Ollikainen, M. (2018) · BMC Geriatrics · doi:10.1186/s12877-018-0775-6 · Cited by 29
Loneliness, epigenetic age acceleration, and chronic health conditions.
Freilich, C. D., Markon, K. E., Cole, S. W., & Krueger, R. F. (2024) · Psychology and Aging · doi:10.1037/pag0000822 · Cited by 30
Major trauma and acceleration of the ageing process
Sullivan, J., Mirbahai, L., & Lord, J. M. (2018) · Ageing Research Reviews · doi:10.1016/j.arr.2018.10.001 · Cited by 30
In vivo biomarkers of structural and functional brain development and aging in humans
Franke, K., Bublak, P., Hoyer, D., Billiet, T., Gaser, C., Witte, O. W., & Schwab, M. G. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.11.002 · Cited by 29
Beydoun, M. A., Beydoun, H. A., Hooten, N. N., Maldonado, A. I., Weiss, J., Evans, M. K., & Zonderman, A. B. (2022) · Aging · doi:10.18632/aging.204150 · Cited by 27
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Carter, A. C., Chang, H. Y., Church, G. M., Dombkowski, A., Ecker, J. R., Gil, E., Giresi, P. G., Greely, H. T., Greenleaf, W. J., Hacohen, N., et al. (2017) · Nature Biotechnology · doi:10.1038/nbt.4030 · Cited by 28
Methylation age acceleration does not predict mortality in schizophrenia
Kowalec, K., Hannon, E. J., Mansell, G., Burrage, J., Ori, A. P. S., Ophoff, R. A., Mill, J. S., & Sullivan, P. F. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0489-3 · Cited by 26
Epigenetic mutation load is weakly correlated with epigenetic age acceleration
Yan, Q. J., Paul, K. C., Lu, A. T.-H., Kusters, C., Binder, A. M., Horvath, S., & Ritz, B. R. (2020) · Aging · doi:10.18632/aging.103950 · Cited by 29
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PASYUKOVA, E. G., Symonenko, A. V., Rybina, O. Y., & Vaiserman, A. M. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101312 · Cited by 28
Mooney, L., Goodyear, C. S., Chandra, T., Kirschner, K., Copland, M., Petrie, M. C., & Lang, N. N. (2021) · Clinical Science · doi:10.1042/cs20200306 · Cited by 28
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Ratiner, K., Abdeen, S. K., Goldenberg, K., & Elinav, E. (2022) · Microorganisms · doi:10.3390/microorganisms10030668 · Cited by 27
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Rustad, S. R., Papale, L. A., & Alisch, R. S. (2019) · Current topics in behavioral neurosciences · doi:10.1007/7854_2019_104 · Cited by 26
Mendelson, M. (2018) · Circulation Genomic and Precision Medicine · doi:10.1161/circgen.118.002089 · Cited by 32
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Reynolds, L. M., Houston, D. K., Skiba, M. B., Whitsel, E. A., Stewart, J. D., Li, Y., Zannas, A. S., Assimes, T. L., Horvath, S., Bhatti, P., et al. (2024) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2024.01.002 · Cited by 26
Self-citationPan, L., Liu, Y., Huang, C., Huang, Y., Lin, R., Wei, K., Zhou, Y., Yao, Y., Qin, G., & Yu, Y. (2025) · BMC Medicine · doi:10.1186/s12916-024-03832-y · Cited by 30
Biological age of the endometrium using DNA methylation
Olesen, M. S., Starnawska, A., Bybjerg‐Grauholm, J., Bielfeld, A. P., Agerholm, I., Forman, A., Overgaard, M. T., & Nyegaard, M. (2017) · Reproduction · doi:10.1530/rep-17-0601 · Cited by 26
Ng, T. P., Zhong, X., Gao, Q., Gwee, X., Chua, D. Q. L., & Larbi, A. (2020) · Gerontology · doi:10.1159/000511211 · Cited by 25
Prenatal Exposure to Ambient Air Pollution and Epigenetic Aging at Birth in Newborns
Song, A., Feinberg, J. I., Bakulski, K. M., Croen, L., Fallin, M. D., Newschaffer, C. J., Hertz‐Picciotto, I., Schmidt, R. J., Ladd‐Acosta, C., & Volk, H. E. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.929416 · Cited by 26
Ungvari, Z. I., Tabák, Á. G., Ádány, R., Purebl, G., Kaposvári, C., Fazekas‐Pongor, V., Csípő, T., Szarvas, Z., Horváth, K., Mukli, P., et al. (2023) · GeroScience · doi:10.1007/s11357-023-01018-7 · Cited by 30
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Jylhävä, J., Jiang, M., Foebel, A. D., Pedersen, N. L., & Hägg, S. (2019) · Biogerontology · doi:10.1007/s10522-019-09795-5 · Cited by 26
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Sathyan, S., Ayers, E. I., Adhikari, D., Gao, T., Milman, S., Barzilai, N., & Verghese, J. (2023) · Annals of Neurology · doi:10.1002/ana.26624 · Cited by 24
Liang, X., Aouizerat, B. E., So‐Armah, K., Cohen, M. H., Marconi, V. C., Xu, K., & Justice, A. C. (2024) · Aging Cell · doi:10.1111/acel.14174 · Cited by 26
Wu, Y., Peterson, K. E., Sánchez, B. N., Dolinoy, D. C., Mercado‐García, A., Téllez‐Rojo, M. M., & Goodrich, J. M. (2018) · Epigenetics · doi:10.1080/15592294.2018.1556198 · Cited by 26
Gutman, D., Rivkin, E., Fadida, A., Sharvit, L. E., Hermush, V., Rubin, E., Kirshner, D., Sabin, I., Dwolatzky, T., & Atzmon, G. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21020615 · Cited by 25
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Hoare, J., Stein, D. J., Heany, S. J., Fouché, J., Phillips, N. J., Er, Ş., Myer, L., Zar, H. J., Horvath, S., & Levine, A. J. (2020) · Metabolic Brain Disease · doi:10.1007/s11011-020-00589-0 · Cited by 25
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Self-citationMonasso, G. S., Küpers, L. K., Jaddoe, V. W. V., Heil, S. G., & Felix, J. F. (2021) · Clinical Epigenetics · doi:10.1186/s13148-021-01065-x · Cited by 25
Monasso, G. S., Jaddoe, V. W. V., Küpers, L. K., & Felix, J. F. (2021) · Clinical Epigenetics · doi:10.1186/s13148-021-01193-4 · Cited by 26
Ruprecht, N. A., Singhal, S., Schaefer, K., Panda, O. A., Sens, D. A., & Singhal, S. K. (2024) · Biology · doi:10.3390/biology13020098 · Cited by 28
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Self-citationOkazaki, S., Otsuka, I., Horai, T., Hirata, T., Takahashi, M., Ueno, Y., Boku, S., Sora, I., & Hishimoto, A. (2019) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2019.109805 · Cited by 28
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Petersen, C. L., Christensen, B. C., & Batsis, J. A. (2021) · Clinical Epigenetics · doi:10.1186/s13148-021-01031-7 · Cited by 26
Föhr, T., Törmäkangas, T., Lankila, H., Viljanen, A., Rantanen, T., Ollikainen, M., Kaprio, J. A., & Sillanpää, E. (2021) · The Journals of Gerontology Series A · doi:10.1093/gerona/glab270 · Cited by 28
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Cabrera‐Mendoza, B., Stertz, L., Najera, K., Selvaraj, S., Teixeira, A. L., Meyer, T. D., Fries, G. R., & Walss‐Bass, C. (2022) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32920 · Cited by 22
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Joshi, D., van Lenthe, F. J., Huisman, M. A., Sund, E. R., Krokstad, S., Avendaño, M., & Raina, P. S. (2023) · The Journals of Gerontology Series A · doi:10.1093/gerona/glad118 · Cited by 24
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Self-citationMatsuyama, M., WuWong, D. J., Horvath, S., & Matsuyama, S. (2019) · Aging · doi:10.18632/aging.101955 · Cited by 24
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LI, S., Hamaya, R., Zhu, H., Chen, B. H., Pereira, A. C., Ivey, K. L., Rist, P. M., Manson, J. E., Dong, Y., & Sesso, H. D. (2026) · Nature Medicine · doi:10.1038/s41591-026-04239-3 · Cited by 27
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Chouliaras, L., Kumar, G. S., Thomas, A. J., Lunnon, K., Chinnery, P. F., & O'Brien, J. T. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101822 · Cited by 24
Hoare, J., Stein, D. J., Heany, S. J., Fouché, J., Phillips, N. J., Er, Ş., Myer, L., Zar, H. J., Horvath, S., & Levine, A. J. (2021) · Journal of NeuroVirology · doi:10.1007/s13365-021-00947-3 · Cited by 24
Self-citationAn update in toxicology of ageing
Račková, L., Mach, M., & Brnoliaková, Z. (2021) · Environmental Toxicology and Pharmacology · doi:10.1016/j.etap.2021.103611 · Cited by 22
Multi-Tissue Methylation Clocks for Age and Sex Estimation in the Common Bottlenose Dolphin
Robeck, T. R., Fei, Z., Haghani, A., Zoller, J. A., Li, C. Z., Steinman, K. J., DiRocco, S., Staggs, L. A., Schmitt, T. L., Osborn, S. D., et al. (2021) · Frontiers in Marine Science · doi:10.3389/fmars.2021.713373 · Cited by 22
Self-citationShenk, C. E., Felt, J. M., Ram, N., O’Donnell, K. J., Sliwinski, M. J., Pokhvisneva, I., Benson, L., Meaney, M. J., Putnam, F. W., & Noll, J. G. (2021) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2021.105606 · Cited by 26
Islam, T., Rahman, M. R., Khan, A., & Moni, M. A. (2023) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2023.104345 · Cited by 22
Protsenko, E., Wolkowitz, O. M., & Yaffe, K. S. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02360-2 · Cited by 26
Jackson, P., Spector, A. L., Strath, L. J., Antoine, L. H., Li, P., Goodin, B. R., Hidalgo, B., Kempf, M.-C., Gonzalez, C. E., Jones, A. C., et al. (2023) · Social Science & Medicine · doi:10.1016/j.socscimed.2023.116088 · Cited by 22
Vågerö, D., Aronsson, V., & Modin, B. (2017) · SSM - Population Health · doi:10.1016/j.ssmph.2017.11.006 · Cited by 22
Tharakan, R., Ubaida‐Mohien, C., Moore, A. Z., Hernandez, D. G., Tanaka, T., & Ferrucci, L. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa052 · Cited by 22
Self-citationGopčević, K., Gkaliagkousi, Ε., Nemcsik, J., Acet, Ö., Bernal-López, M. R., Bruno, R. M., Climie, R. E., Fountoulakis, N., Fraenkel, E., Lazaridis, A. A., et al. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.789690 · Cited by 25
Cumulative Stress Across the Life Course and Biological Aging in Adulthood
Suglia, S. F., Clausing, E. S., Shelton, R. C., Conneely, K. N., Prada, D., Vivo, I. D., Factor-Litvak, P. R., Cirillo, P. M., Baccarelli, A., Cohn, B. A., et al. (2024) · Psychosomatic Medicine · doi:10.1097/psy.0000000000001284 · Cited by 22
Self-citationBeam, C. R., Turkheimer, E. N., Finkel, D., Levine, M. E., Zandi, E., Guterbock, T. M., Giangrande, E. J., Ryan, L., Pasquenza, N., & Davis, D. W. (2019) · Behavior Genetics · doi:10.1007/s10519-019-09983-6 · Cited by 23
Self-citationCombined healthy lifestyle score and risk of epigenetic aging: a discordant monozygotic twin study
Peng, H., Gao, W., Cao, W., Lv, J., Yu, C., Wu, T., Wang, S., Pang, Z., Yu, M., Wang, H., et al. (2021) · Aging · doi:10.18632/aging.203022 · Cited by 21
Rozenblit, M., Hofstatter, E. W., Liu, Z., O’Meara, T. A., Storniolo, A. M., Dalela, D., Singh, V., Pusztai, L., & Levine, M. E. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01249-z · Cited by 20
Self-citationEffect of metformin on the epigenetic age of peripheral blood in patients with diabetes mellitus
Li, M., Bao, L., Zhu, P., & Wang, S. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.955835 · Cited by 21
Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiograms
Hirota, N., Suzuki, S. S., Motogi, J., Nakai, H., Matsuzawa, W., Takayanagi, T., Umemoto, T., Hyodo, A., Satoh, K., Arita, T., et al. (2023) · IJC Heart & Vasculature · doi:10.1016/j.ijcha.2023.101172 · Cited by 22
Epigenetic age deacceleration in youth at familial risk for schizophrenia and bipolar disorder
Segura, À. G., de la Serna, E., Sugranyes, G., Baeza, I., Valli, I., Díaz‐Caneja, C. M., Martín-Martínez, N., Moreno, D. M., Gassó, P., Rodríguez, N., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02463-w · Cited by 21
Eight Weeks of Physical Training Decreases 2 Years of DNA Methylation Age of Sedentary Women
Rodrigues, G. D. S., Noma, I. H. Y., Noronha, N. Y., Watanabe, L. M., Sobrinho, A. C. D. S., de Lima, J. G. R., Sae‐Lee, C., Benjamim, C. J. R., Nonino, C. B., & Júnior, C. R. B. (2023) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.2023.2228388 · Cited by 23
Epigenetic signature of human immune aging in the GESTALT study
Roy, R., Kuo, P., Candia, J., Sarantopoulou, D., Ubaida‐Mohien, C., Hernandez, D. G., Kaileh, M., Arepalli, S., Singh, A., Bektas, A., et al. (2023) · eLife · doi:10.7554/elife.86136 · Cited by 21
Self-citationBejaoui, Y., Amanullah, F. H., Saad, M., Taleb, S., Bradić, M., Mégarbané, A., Hssain, A. A., Khalil, C. A., & Hajj, N. E. (2023) · Clinical Epigenetics · doi:10.1186/s13148-023-01597-4 · Cited by 20
Obeid, R., Hübner, U., Bodis, M., Graeber, S. M., & Geisel, J. (2017) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2017.12.006 · Cited by 20
DNA methylation age is associated with an altered hemostatic profile in a multiethnic meta-analysis
Ward-Caviness, C. K., Huffman, J. E., Everett, K., Germain, M., van Dongen, J., Hill, W. D., Jhun, M. A., Brody, J. A., Ghanbari, M., Du, L., et al. (2018) · Blood · doi:10.1182/blood-2018-02-831347 · Cited by 21
Self-citationChung, M., Ruan, M., Zhao, N., Koestler, D. C., Vivo, I. D., Kelsey, K. T., & Michaud, D. S. (2020) · Epigenetics · doi:10.1080/15592294.2020.1861401 · Cited by 21
Are sex differences in cognitive impairment reflected in epigenetic age acceleration metrics?
Inkster, A. M., Duarte‐Guterman, P., Albert, A., Barha, C. K., Galea, L. A. M., & Robinson, W. P. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.09.022 · Cited by 20
Ammous, F., Zhao, W., Lin, L., Ratliff, S. M., Mosley, T. H., Bielak, L. F., Zhou, X., Peyser, P. A., Kardia, S. L. R., & Smith, J. A. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01229-3 · Cited by 21
Jiang, R., Hauser, E. R., Kwee, L. C., Shah, S. H., Regan, J. A., Huebner, J. L., Kraus, V. B., Kraus, W. E., & Ward-Caviness, C. K. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01380-x · Cited by 22
Self-citationSeki, Y., Aczél, D., Torma, F., Jókai, M., Boros, A., Suzuki, K., Higuchi, M., Tanisawa, K., Boldogh, I. R., Horvath, S., et al. (2023) · Biogerontology · doi:10.1007/s10522-022-10011-0 · Cited by 20
Self-citationEpigenetics and aging research: Between adult malleability and early life programming
Müller, R., & Samaras, G. (2018) · BioSocieties · doi:10.1057/s41292-017-0091-y · Cited by 22
Extracellular Spermine Activates DNA Methyltransferase 3A and 3B
Fukui, T., Soda, K., Takao, K., & Rikiyama, T. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20051254 · Cited by 21
Metadata
- Authors
- 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., Bressler, J., Fornage, M., Studenski, S., Vandiver, A. R., Moore, A. Z., Tanaka, T., Kiel, D. P., Liang, L., Vokonas, P., Schwartz, J., Lunetta, K. L., Murabito, J. M., Bandinelli, S., Hernandez, D. G., Melzer, D., Nalls, M., Pilling, L. C., Price, T. R., Singleton, A. B., Gieger, C., Holle, R., Kretschmer, A., Kronenberg, F., Kunze, S., Linseisen, J., Meisinger, C., Rathmann, W., Waldenberger, M., Visscher, P. M., Shah, S., Wray, N. R., McRae, A. F., Franco, O. H., Hofman, A., Uitterlinden, A. G., Absher, D., Assimes, T., Levine, M. E., Lu, A. T., Tsao, P. S., Hou, L., Manson, J. E., Carty, C. L., LaCroix, A. Z., Reiner, A. P., Spector, T. D., Feinberg, A. P., Levy, D., Baccarelli, A., van Meurs, J., Bell, J. T., Peters, A., Deary, I. J., Pankow, J. S., Ferrucci, L., & Horvath, S.
- Affiliations
- National Institutes of Health (US)
- The University of Queensland (AU)
- Columbia University (US)
- Erasmus MC (NL)
- Helmholtz Munich (DE)
- King's College London (GB)
- University of Minnesota (US)
- The University of Texas Health Science Center at Houston (US)
- Baylor College of Medicine (US)
- Johns Hopkins University (US)
- Beth Israel Deaconess Medical Center (US)
- Harvard University (US)
- Boston University (US)
- Geriatric Unit, Usl Centro Toscana Florence, Italy
- University of Exeter (GB)
- Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD 20814, USA
- Innsbruck Medical University (AT)
- Deutsches Diabetes-Zentrum e.V. (DE)
- Institute of Epidemiology II, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
- HudsonAlpha Institute for Biotechnology (US)
- University of California, Los Angeles (US)
- VA Palo Alto Health Care System (US)
- Northwestern University (US)
- Children's National (US)
- University of California San Diego (US)
- University of Washington (US)
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, ; USA
- Department of Internal Medicine, Erasmus University Medical Centre, Rotterdam, 3000 CA, The Netherlands
- Corresponding author
- Horvath, Steve
- ORCID
- Chen, Brian H.
- Marioni, Riccardo E.
- Colicino, Elena
- Peters, Marjolein J.
- Ward-Caviness, Cavin K.
- Tsai, Pei-Chien
- Roetker, Nicholas S.
- Just, Allan C.
- Demerath, Ellen W.
- Guan, Weihua
- Bressler, Jan
- Fornage, Myriam
- Studenski, Stephanie
- Vandiver, Amy R.
- Moore, Ann Zenobia
- Tanaka, Toshiko
- Kiel, Douglas P.
- Liang, Liming
- Vokonas, Pantel
- Schwartz, Joel
- Lunetta, Kathryn L.
- Murabito, Joanne M.
- Bandinelli, Stefania
- Hernandez, Dena G.
- Melzer, David
- Pilling, Luke C.
- Singleton, Andrew B.
- Gieger, Christian
- Holle, Rolf
- Kronenberg, Florian
- Kunze, Sonja
- Linseisen, Jakob
- Rathmann, Wolfgang
- Visscher, Peter M.
- Shah, Sonia
- Wray, Naomi R.
- McRae, Allan F.
- Franco, Oscar H.
- Uitterlinden, André G.
- Absher, Devin
- Assimes, Themistocles
- Levine, Morgan E.
- Lu, Ake T.
- Tsao, Philip S.
- Hou, Lifang
- Manson, JoAnn E.
- Carty, Cara L.
- LaCroix, Andrea Z.
- Spector, Tim D.
- Feinberg, Andrew P.
- Levy, Daniel
- Baccarelli, Andrea
- Bell, Jordana T.
- Peters, Annette
- Deary, Ian J.
- Pankow, James S.
- Ferrucci, Luigi
- Horvath, Steve
- Venue
- Aging
- Publisher
- Impact Journals, LLC
- Published
- 2016-09-28
- Volume
- 8
- Issue
- 9
- Pages
- 1844-1865
- ISSN
- 1945-4589 (ISSN-L)
- PMC
- PMC5076441
- OpenAlex
- W2421283105
- Cited by
- 1,126
- References
- 39
- Citations by year
- 2026: 82 · 2025: 107 · 2024: 132 · 2023: 103 · 2022: 141 · 2021: 153 · 2020: 117 · 2019: 114 · 2018: 97 · 2017: 74 · 2016: 4
- FWCI
- 8.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Aging (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- eScholarship (California Digital Library) (submittedVersion)
- Research Portal (King's College London) (submittedVersion, cc-by)
- Site cant be reached (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
- RePub (Erasmus University Rotterdam) (submittedVersion)
- OPUS (Augsburg University) (submittedVersion, cc-by)
- Funders
- U.S. Department of Health and Human Services (HHSN268201100002C, HHSN2682011 00003C, 5RC2HL102419, HHSN268201100046C, HHSN268201100001C, HHSN268201100002C, HHSN268201100003C, HHSN268201100004C, and HHSN271201100004C, HHSN 268201100001C, HHSN268201500001I, HHSN268201100046C, HHSN268201100004C, HHSN-271-2011-00004C)
- U.S. Department of Veterans Affairs
- Brigham and Women's Hospital
- Ohio State University
- Wake Forest University
- University of Pittsburgh
- Wellcome Trust (FP7/2007–2013)
- Scottish Government
- National Institute for Health and Care Research (FP7/2007–2013, NF-SI-0507-10228, NF-SI-0514-10027)
- Age UK (MR/K026992/1)
- King's College London
- European Commission (2007–2013, FP7 2007-2013, FP7/2007, 305280)
- University of Edinburgh (MR/K026992/1)
- German-Israeli Foundation for Scientific Research and Development
- University of Queensland
- ZonMw
- Bundesministerium für Bildung und Forschung
- Erasmus Medisch Centrum (014-93-015)
- Bundesministerium für Gesundheit
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (FP7 2007-2013, 911-03-012, 175.010.2005.011, 917103521)
- Centre for Cognitive Ageing and Cognitive Epidemiology (MR/K026992/1)
- National Institutes of Health (HHSN268201100012C, FP7/2007-2013, HHSN268201100046C, HHSN268201100001C, HHSN268201100002C, HHSN268201100003C,HHSN268201100004C, and HHSN271201100004C, HHSN268201100008C, HHSN268201100006C, HHSN268201100004C, HHSN26820- 1100005C, HHSN268201100007C, HHSN268201100046C, HHSN271201100004C, HHSN268201100011C, HHSN268201100001C, HHSN268201100010C, HHSN268201100002C, n01hc25195-41-0-1, HHSN268201100009C, HHSN268201100003C, HHSN268201500001I, N01-HC 25195)
- Directorate for Biological Sciences
- University at Buffalo
- Medical Research Council (MR/K026992/1, MR/M013111/1)
- Biotechnology and Biological Sciences Research Council (MR/K026992/1)
- Economic and Social Research Council (ES/N000404/1)
- Helmholtz Zentrum München
- Münchner Zentrum für Gesundheitswissenschaften
- National Institute on Aging (HHSN-271-2011-00004C,, R01AG029451, N01-HC-25195, R01AG042187, U34AG051425, RF1AG036042, R01AG042511)
- National Heart, Lung, and Blood Institute (HHSN268201 100012C, HHSN268201100007I, HHSN268201100007C, HHSN2682 01100008C, HH-SN-268201100006C, HHSN268201100011C, HHSN268201100046C, HHSN268201100001C, HHSN268201100002C,HHSN268201100003C, HHSN268201100004C, and HHSN271201100004C, HHSN2682011-00005I, HHSN2682011-00001I, HHSN2682011-00002I, N01‐HC25195, HHSN268201100004C, HHSN268201500001I, HHSN2682011-00009I, HHSN268201100005C, HHSN268201500001C, HHSN268201100005G, HHSN268201100010C, HHSN271201100004C, HHSN2682011‐00004I, HHSN26820-1100002C, HHSN268201100011I, N01-HC-025195, 60442456, HHSN268201100046C, HHSN26820 1100009C, HHSN268201100001C, HHSN2682011-00008I, HHSN268201100003C, RC2HL102419)
- National Institute of General Medical Sciences (T32GM007309)
- National Institute of Environmental Health Sciences (R00ES023450, R01ES025225, R01ES021733, R01ES015172, P30ES023515)
- Center for Information Technology
- NHLBI Division of Intramural Research
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- DNA methylation, biological age, epigenetic clocks, time to death, mortality prediction, mortality risk
- MeSH terms
- Aging, Female, Humans, Male, Mortality, Risk Factors, Logistic Models, Survival Analysis, T-Lymphocyte Subsets, DNA Methylation, Epigenesis, Genetic, Racial Groups
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