The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
DNA methylation-based measures of biological age: meta-analysis predicting time to death
Open accessAbstract
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
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Items 501–600 of 999
Gao, X. Y., Zhang, Y., Boakye, D., Li, X., Chang-Claude, J. C., Hoffmeister, M., & Brenner, H. (2020) · Clinical Epigenetics · doi:10.1186/s13148-020-00977-4 · Cited by 21
Koen, N., Jones, M. J., Nhapi, R. T., Lake, M. T., Donald, K. A., Barnett, W., Hoffman, N., MacIsaac, J. L., Morin, A. M., Lin, D. T. S., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01434-3 · Cited by 25
Guevara, E. E., & Lawler, R. R. (2018) · Evolutionary Anthropology Issues News and Reviews · doi:10.1002/evan.21745 · Cited by 20
Accelerated Epigenetic Ageing in Major Depressive DisorderPreprint
Whalley, H. C., Gibson, J., Marioni, R. E., Walker, R. M., Clarke, T., Howard, D. M., Adams, M. J., Hall, L. S., Morris, S. W., Deary, I. J., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/210666 · Cited by 23
Self-citationRobinson, O., Lau, C. E., Joo, S., Andrusaityte, S., Borras, E., de Prado-Bert, P., Chatzi, L., Keun, H. C., Grazuleviciene, R., Gutzkow, K. B., et al. (2023) · eLife · doi:10.7554/elife.85104 · Cited by 20
Social-Science Genomics: Progress, Challenges, and Future Directions
Benjamin, D., Cesarini, D., Turley, P., & Young, A. S. (2024) · doi:10.3386/w32404 · Cited by 20
What makes biological age epigenetic clocks tick
Moqri, M., Poganik, J. R., Horvath, S., & Gladyshev, V. N. (2025) · Nature Aging · doi:10.1038/s43587-025-00833-1 · Cited by 24
Self-citationChemical and climatic environmental exposures and epigenetic aging: A systematic review
Fadadu, R. P., Bozack, A. K., & Cárdenas, A. (2025) · Environmental Research · doi:10.1016/j.envres.2025.121347 · Cited by 21
Berezina, T. N., & Александрович, Р. С. (2021) · Biomedicines · doi:10.3390/biomedicines9080913 · Cited by 22
A Blood-Based Molecular Clock for Biological Age Estimation
Paparazzo, E., Geracitano, S., Lagani, V., Bartolomeo, D., Aceto, M. A., D’Aquila, P., Citrigno, L., Bellizzi, D., Passarino, G., & Montesanto, A. (2022) · Cells · doi:10.3390/cells12010032 · Cited by 17
Contextual modifiers of healthspan, lifespan, and epigenome in mice under chronic social stress
Razzoli, M., Nyuyki, K. D., Chen, B. H., & Bartolomucci, A. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2211755120 · Cited by 19
Self-citationExercise and epigenetic ages in older adults with myeloid malignancies
Loh, K. P., Sanapala, C., Jensen‐Battaglia, M., Rana, A., Sohn, M. B., Watson, E., Gilmore, N. J., Klepin, H. D., Mendler, J. H., Liesveld, J. L., et al. (2023) · European journal of medical research · doi:10.1186/s40001-023-01145-z · Cited by 20
Epigenetic Aging and Rheumatoid Arthritis
Mukherjee, N., & Harrison, T. C. (2023) · The Journals of Gerontology Series A · doi:10.1093/gerona/glad213 · Cited by 20
Feng, Y., Lin, H., Tan, H., & Liu, X. (2024) · The journal of nutrition health & aging · doi:10.1016/j.jnha.2024.100203 · Cited by 21
Chiu, K.-C., Hsieh, M., Huang, Y., & Liu, C.-Y. (2024) · Environment International · doi:10.1016/j.envint.2024.108581 · Cited by 19
Ori, A. P. S., Loohuis, L. M. O., Guintivano, J., Hannon, E. J., Dempster, E. L., Clair, D. S., Bass, N. J., McQuillin, A., Mill, J. S., Sullivan, P. F., et al. (2024) · Clinical Epigenetics · doi:10.1186/s13148-024-01660-8 · Cited by 26
Self-citationInterindividual epigenetic variability: Sound or noise?
Tejedor, J. R., & Fraga, M. F. (2017) · BioEssays · doi:10.1002/bies.201700055 · Cited by 20
Nwanaji‐Enwerem, J. C., Colicino, E., Dai, L., Di, Q., Just, A. C., Hou, L., Vokonas, P., Vivo, I. D., Lemos, B., Lu, Q., et al. (2017) · Epigenomics · doi:10.2217/epi-2017-0094 · Cited by 19
Self-citationDNA methylation age and perceived age in elderly Danish twins
Debrabant, B., Soerensen, M., Christiansen, L., Tan, Q., McGue, M. K., Christensen, K., & Hjelmborg, J. (2017) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2017.09.004 · Cited by 19
Aging clocks, entropy, and the limits of age-reversalPreprint
Tarkhov, A. E., Denisov, K. A., & Fedichev, P. O. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.06.479300 · Cited by 19
An evaluation of aging measures: from biomarkers to clocks
Wang, Q., Hou, T., Wang, Q., He, J., Wang, L., Si, J., & Chen, S. (2022) · Biogerontology · doi:10.1007/s10522-022-09997-4 · Cited by 18
Integrative multi‐omics analysis reveals the critical role of the PBXIP1 gene in Alzheimer's disease
Zhang, J., Sun, X., Jia, X., Sun, B., Xu, S., Zhang, W., & Liu, Z. (2023) · Aging Cell · doi:10.1111/acel.14044 · Cited by 16
Seo, D. H., Corr, M., Patel, S., Lui, L., Cauley, J. A., Evans, D. S., Mau, T., & Lane, N. E. (2024) · Osteoporosis International · doi:10.1007/s00198-024-07160-y · Cited by 18
DNA Methylation–Based Measures of Biological Aging
Dugué, P., Li, S., Hopper, J. L., & Milne, R. L. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812215-0.00003-0 · Cited by 16
Trauner, M. A., Gindin, Y., Jiang, Z., Chung, C., Subramanian, G. M., Myers, R. P., Gulamhusein, A. F., Kowdley, K. V., Levy, C., Goodman, Z. D., et al. (2019) · JHEP Reports · doi:10.1016/j.jhepr.2019.11.004 · Cited by 18
Wang, J., Berg, D. V. D., Hwang, A. E., Weisenberger, D. J., Triche, T. J., Nathwani, B. N., Conti, D. V., Siegmund, K. D., Mack, T. M., Horvath, S., et al. (2019) · Leukemia & lymphoma/Leukemia and lymphoma · doi:10.1080/10428194.2018.1533128 · Cited by 19
Self-citationLongitudinal trajectories of brain age in young individuals at familial risk of mood disorder
de Nooij, L., Harris, M. A., Hawkins, E. L., Clarke, T., Shen, X., Chan, S. W. Y., Ziermans, T. B., McIntosh, A. M., & Whalley, H. C. (2019) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15617.2 · Cited by 21
Epigenetic ageing of the prefrontal cortex and cerebellum in humans and chimpanzees
Guevara, E. E., Hopkins, W. D., Hof, P. R., Ely, J. J., Bradley, B. J., & Sherwood, C. C. (2022) · Epigenetics · doi:10.1080/15592294.2022.2080993 · Cited by 17
Liu, H., Lutz, M. W., Luo, S., & Initiative, A. D. N. (2022) · The Journals of Gerontology Series A · doi:10.1093/gerona/glac138 · Cited by 17
Beach, S. R. H., Klopack, E. T., Carter, S. E., Philibert, R. A., Simons, R. L., Gibbons, F. X., Ong, M. L., Gerrard, M., & Lei, M. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192013421 · Cited by 16
Petrović, D., Carmeli, C., Sandoval, J. L., Bodinier, B., Chadeau‐Hyam, M., Schrempft, S., Ehret, G., Dhayat, N. A., Ponte, B., Pruijm, M. T., et al. (2022) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2022.105976 · Cited by 17
Euclydes, V. L. V., Gomes, C., Gouveia, G. R., Gastaldi, V. D., Feltrin, A. S., Camilo, C., Vieira, R. P., Felipe-Silva, A., Grisi, S. J. F. E., Fink, G., et al. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01374-9 · Cited by 16
Effects of epigenetic age acceleration on kidney function: a Mendelian randomization study
Pan, Y., Sun, X., Huang, Z., Zhang, R., Li, C., Anderson, A. H., Lash, J. P., & Kelly, T. N. (2023) · Clinical Epigenetics · doi:10.1186/s13148-023-01476-y · Cited by 17
Region‐based epigenetic clock design improves RRBS‐based age prediction
Simpson, D. J., Zhao, Q., Olova, N. N., Dabrowski, J., Xie, X., Crespo, E. L., & Chandra, T. (2023) · Aging Cell · doi:10.1111/acel.13866 · Cited by 17
Biological aging of different blood cell types
Marttila, S., Rajić, S., Ciantar, J., Mak, J. K. L., Junttila, I., Kummola, L., Hägg, S., Raitoharju, E., & Kananen, L. (2024) · GeroScience · doi:10.1007/s11357-024-01287-w · Cited by 18
Inferring Multidimensional Rates of Aging from Cross-Sectional Data
Pierson, E., Koh, P. W., Hashimoto, T., Koller, D., Leskovec, J., Eriksson, N., & Liang, P. (2018) · PubMed · doi:10.48550/arxiv.1807.04709 · Cited by 18
Foo, H., Mather, K. A., Thalamuthu, A., & Sachdev, P. S. (2018) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000473 · Cited by 19
Declerck, K., & Berghe, W. V. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.01229 · Cited by 18
Telomere Length as a Biomarker of Biological Aging in Shift Workers
Ledda, C., Loreto, C., & Rapisarda, V. (2020) · Applied Sciences · doi:10.3390/app10082764 · Cited by 17
Promoter-anchored chromatin interactions predicted from genetic analysis of epigenomic data
Wu, Y., Qi, T., Wang, H., Zhang, F., Zheng, Z., Phillips‐Cremins, J. E., Deary, I. J., McRae, A. F., Wray, N. R., Zeng, J., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15587-0 · Cited by 14
Self-citationVetter, V. M., Kalies, C. H., Sommerer, Y., Bertram, L., & Demuth, I. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2021.759357 · Cited by 17
Ghanooni, D., Carrico, A. W., Williams, R. S., Glynn, T. R., Moskowitz, J. T., Pahwa, S. G., Pallikkuth, S., Roach, M. E., Dilworth, S. E., Aouizerat, B. E., et al. (2022) · Psychosomatic Medicine · doi:10.1097/psy.0000000000001123 · Cited by 17
The Epigenetic Clock and Aging
Raj, K. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-811060-7.00004-8 · Cited by 18
Bozack, A. K., Khodasevich, D., Nwanaji‐Enwerem, J. C., Gladish, N., Shen, H., Daredia, S., Gamble, M. V., Needham, B. L., Rehkopf, D. H., & Cárdenas, A. (2025) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2025.05.029 · Cited by 17
The X-Age Project to construct a Chinese aging clock
Li, J., Jiang, M., Wang, Q., Zheng, Z., Shen, J., Li, J., Xiong, M., Zheng, Y., Lu, X., Cai, Y., et al. (2025) · Nature Aging · doi:10.1038/s43587-025-00935-w · Cited by 19
Implementing Precision Medicine in Human Frailty through Epigenetic Biomarkers
García‐Giménez, J. L., Mena, S., Tarazona‐Santabalbina, F. J., Viña, J., Gómez‐Cabrera, M. C., & Pallardó, F. V. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18041883 · Cited by 17
Titanji, B. K., GWINN, M. L., Marconi, V. C., & Sun, Y. V. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01230-w · Cited by 17
Epigenetic clocks in relapse after a first episode of schizophrenia
Segura, À. G., Prohens, L., Mezquida, G., Amoretti, S., Bioque, M., Ribeiro, M., Gurriarán, X., Rementería, L., Bergé, D., Rodríguez–Jiménez, R., et al. (2022) · Schizophrenia · doi:10.1038/s41537-022-00268-2 · Cited by 16
Development of a model for the prediction of biological age
Ni, X., Zhao, H., Li, R., Su, H., Jiao, J., Yang, Z., Lv, Y., Pang, G., Sun, M., Hu, C., et al. (2023) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2023.107686 · Cited by 16
How does loneliness “get under the skin” to become biologically embedded?
Freilich, C. D. (2023) · Biodemography and Social Biology · doi:10.1080/19485565.2023.2260742 · Cited by 18
Characterizing epigenetic aging in an adult sickle cell disease cohort
Lê, B. M., Hatch, D., Yang, Q., Shah, N., Luyster, F. S., Garrett, M. E., Tanabe, P. J., Ashley‐Koch, A. E., & Knisely, M. R. (2023) · Blood Advances · doi:10.1182/bloodadvances.2023011188 · Cited by 17
Racial and Ethnic Residential Segregation and Monocyte DNA Methylation Age Acceleration
Hicken, M. T., Dou, J., Kershaw, K. N., Liu, Y., Hajat, A., & Bakulski, K. M. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.44722 · Cited by 16
Zhou, J. X., Li, L. X., Zhang, H., Agborbesong, E., Harris, P. C., Calvet, J. P., & Li, X. (2024) · Kidney International · doi:10.1016/j.kint.2024.04.017 · Cited by 16
Predicting physiological aging rates from a range of quantitative traits using machine learning
Sun, E., Qian, Y., Oppong, R., Butler, T. J., Zhao, J. Y., Chen, B. H., Tanaka, T., Kang, J., Sidore, C., Cucca, F., et al. (2021) · Aging · doi:10.18632/aging.203660 · Cited by 16
Self-citationAppleton, A. A., Lin, B., Kennedy, E. M., & Holdsworth, E. A. (2022) · Epigenetics · doi:10.1080/15592294.2022.2090657 · Cited by 17
Improved prediction of chronological age from DNA methylation limits it as a biomarker of ageingPreprint
Zhang, Q., Vallerga, C. L., Walker, R. M., Lin, T., Henders, A. K., Montgomery, G. W., He, J., Fan, D., Fowdar, J., Kennedy, M. A., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/327890 · Cited by 16
Self-citationCircadiOmic medicine and aging
TABIBZADEH, S. S. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101424 · Cited by 17
Stochastic Epigenetic Mutations Influence Parkinson’s Disease Risk, Progression, and Mortality
Chen, G. K., Yan, Q. J., Paul, K. C., Kusters, C., Folle, A. D., Furlong, M., Keener, A. M., Bronstein, J. M., Horvath, S., & Ritz, B. R. (2021) · Journal of Parkinson s Disease · doi:10.3233/jpd-212834 · Cited by 15
Self-citationPavanello, S., Campisi, M., Rigotti, P., Bello, M. D., Nuzzolese, E., Neri, F., & Furian, L. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.832411 · Cited by 16
Chervova, O., Chernysheva, E., Panteleeva, K., Widayati, T. A., Hrbková, N., Schneider, J., Maximov, V. N., Ryabikov, A. N., Tillmann, T., Pikhart, H., et al. (2022) · Biology · doi:10.3390/biology12010068 · Cited by 16
Epigenetic age and lung cancer risk in the CLUE II prospective cohort study
Michaud, D. S., Chung, M., Zhao, N., Koestler, D. C., Lu, J., Platz, E. A., & Kelsey, K. T. (2023) · Aging · doi:10.18632/aging.204501 · Cited by 14
DNA methylation accelerated age as captured by epigenetic clocks influences breast cancer risk
Valencia, C. I., Saunders, D., Daw, J., & Vasquez, A. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1150731 · Cited by 15
Murthy, M. N., Rizzu, P., Heutink, P., Mill, J. S., Lashley, T., & Bettencourt, C. (2023) · Cells · doi:10.3390/cells12141922 · Cited by 14
Biological Age in Congenital Heart Disease—Exploring the Ticking Clock
Tournoy, T. K., Moons, P., Daelman, B., & Backer, J. F. A. D. (2023) · Journal of Cardiovascular Development and Disease · doi:10.3390/jcdd10120492 · Cited by 15
Halabicky, O. M., Téllez‐Rojo, M. M., Goodrich, J. M., Dolinoy, D. C., Mercado‐García, A., Hu, H., & Peterson, K. E. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.169757 · Cited by 15
Yau, M. S., Okoro, P. C., Haugen, I. K., Lynch, J. A., Nevitt, M. C., Lewis, C. E., Torner, J. C., & Felson, D. T. (2024) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2023.11.024 · Cited by 15
Investigation of human aging at the single-cell level
Li, Y., Wang, Q., Xuan, Y., Zhao, J., Li, J., Tian, Y., Chen, G., & Tan, F. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102530 · Cited by 16
The immunosenescence clock: A new method for evaluating biological age and predicting mortality risk
Li, S., Wang, K., Wu, J., & Zhu, Y. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102653 · Cited by 18
Zoster Vaccination in Older Adults: Efficacy and Public Health Implications
McElhaney, J. E., Verschoor, C. P., & Pawelec, G. (2019) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz085 · Cited by 15
Biological Age versus Chronological Age in the Prevention of Age Associated Diseases
Rollandi, G. A., Chiesa, A., Sacchi, N., Castagnetta, M., Puntoni, M., Amaro, A. A., Banelli, B., & Pfeffer, U. (2019) · OBM Geriatrics · doi:10.21926/obm.geriatr.1902051 · Cited by 16
Gettler, L. T., Lin, D. T. S., Miegakanda, V., Lew‐Levy, S., Eick, G. N., Snodgrass, J. J., MacIsaac, J. L., Ramadori, K. E., Kobor, M. S., & Boyette, A. H. (2019) · Developmental Psychobiology · doi:10.1002/dev.21935 · Cited by 16
New methodologies in ageing research
Osborne, B., Bakula, D., Ezra, M. B., Dresen, C., Hartmann, E., Kristensen, S. M., Mkrtchyan, G. V., Nielsen, M. H., Petr, M. A., & Scheibye‐Knudsen, M. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101094 · Cited by 18
Cheong, Y., Nishitani, S., Yu, J., Habata, K., Kamiya, T., Shiotsu, D., Omori, I. M., Okazawa, H., Tomoda, A., Kosaka, H., et al. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac043 · Cited by 14
Gestational diabetes mellitus, epigenetic age and offspring metabolism
Kim, C., Harrall, K. K., Glueck, D. H., Needham, B. L., & Dabelea, D. (2022) · Diabetic Medicine · doi:10.1111/dme.14925 · Cited by 15
Epigenetic Age in Young African American Adults With Perinatally Acquired HIV
Shiau, S., Cantos, A., Ramon, C. V., Shen, Y., Shah, J., Jang, G., Baccarelli, A., Arpadi, S. M., & Yin, M. T. (2021) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0000000000002687 · Cited by 15
Self-citationTherapeutic Manipulation of Ageing: Repurposing Old Dogs and Discovering New Tricks
Mallikarjun, V., & Swift, J. (2016) · EBioMedicine · doi:10.1016/j.ebiom.2016.11.020 · Cited by 14
Hill, C., Ávila-Palència, I., Maxwell, A. P., Hunter, R. F., & McKnight, A. J. (2022) · Frontiers in Nephrology · doi:10.3389/fneph.2022.923068 · Cited by 16
Lecorguillé, M., Navarro, P., Chen, L., Murrin, C. M., Viljoen, K., Mehegan, J., Shivappa, N., Hébert, J. R., Kelleher, C. C., Suderman, M. J., et al. (2023) · Journal of Nutrition · doi:10.1016/j.tjnut.2023.01.028 · Cited by 14
Ruiz-Narváez, E., Cozier, Y. C., Zirpoli, G., Rosenberg, L. A., & Palmer, J. R. (2024) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-024-01915-3 · Cited by 22
Epigenetics, Microbiome and Personalized Medicine: Focus on Kidney Disease
Gigliotti, G., Joshi, R., Khalid, A., Widmer, D. A. J., Boccellino, M., & Viggiano, D. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25168592 · Cited by 14
Bidirectional relationship between epigenetic age and stroke, dementia, and late-life depression
Rivier, C. A., Szejko, N., Renedo, D. B., Clocchiatti‐Tuozzo, S., Huo, S., de Havenon, A., Zhao, H., Gill, T. M., Sheth, K. N., & Falcone, G. J. (2025) · Nature Communications · doi:10.1038/s41467-024-54721-0 · Cited by 15
Kavur, M. M., Lauc, G., & Pezer, M. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819475-1.00086-9 · Cited by 15
DNA Methylation and Intra-Clonal Heterogeneity: The Chronic Myeloid Leukemia Model
Lebecque, B., Bourgne, C., Vidal, V., & Berger, M. G. (2021) · Cancers · doi:10.3390/cancers13143587 · Cited by 15
Childhood growth and development and DNA methylation age in mid-life
Maddock, J., Fernandez, J. C., Wong, A., Ploubidis, G. B., Kuh, D. J., Bell, J. T., & Hardy, R. (2021) · Clinical Epigenetics · doi:10.1186/s13148-021-01138-x · Cited by 16
Self-citationLeng, S., Diergaarde, B. B., Picchi, M. A., Wilson, D. O., Gilliland, F. D., Yuan, J., Siegfried, J. M., & Belinsky, S. A. (2018) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201708-1659oc · Cited by 15
Maternal biological age assessed in early pregnancy is associated with gestational age at birth
Lancaster, E. E., Lapato, D. M., Jackson‐Cook, C. K., Strauss, J. F., Roberson‐Nay, R., & York, T. P. (2021) · Scientific Reports · doi:10.1038/s41598-021-94281-7 · Cited by 15
DNA Methylation and Human Heart Failure
Rau, C. D., & Vondriska, T. M. (2017) · Circulation · doi:10.1161/circulationaha.117.029840 · Cited by 14
Pan-primate DNA methylation clocksPreprint
Horvath, S., Haghani, A., Zoller, J. A., Lu, A. T.-H., Ernst, J., Pellegrini, M. A., Jasinska, A. J., Mattison, J. A., Salmon, A. B., Raj, K., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.29.402891 · Cited by 14
Self-citationDevelopment of a novel epigenetic clock resistant to changes in immune cell compositionPreprint
Tomusiak, A., Floro, A., Tiwari, R., Riley, R. R., Matsui, H., Andrews, N., Kasler, H. G., & Verdin, E. M. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.01.530561 · Cited by 15
Hussain, S. A., Sarker, M. I. M., Liu, Y., & Jin, T. Z. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27020566 · Cited by 16
Fletcher, J. R. (2020) · Journal of Aging Studies · doi:10.1016/j.jaging.2020.100899 · Cited by 22
Aging in Adult Survivors of Childhood Cancer: Implications for Future Care
Schuitema, I., Alexander, T. C., Hudson, M. M., Krull, K. R., & Edelstein, K. (2021) · Journal of Clinical Oncology · doi:10.1200/jco.20.02534 · Cited by 14
Reproductive history and blood cell DNA methylation later in life: the Young Finns Study
Harville, E. W., Mishra, P. P., Kähönen, M. A. P., Raitoharju, E., Marttila, S., Raitakari, O. T., & Lehtimäki, T. J. (2021) · Clinical Epigenetics · doi:10.1186/s13148-021-01215-1 · Cited by 13
Shahal, T., Segev, E., Konstantinovsky, T., Marcus, Y., Shefer, G., Pasmanik‐Chor, M., Buch, A., Ebenstein, Y., Zimmet, P., & Stern, N. (2022) · Epigenetics & Chromatin · doi:10.1186/s13072-022-00441-y · Cited by 13
Clonal Hematopoiesis and Epigenetic Age Acceleration in Elderly Danish Twins
Soerensen, M., Tulstrup, M., Hansen, J. W., Weischenfeldt, J., Grønbæk, K., & Christensen, K. (2022) · HemaSphere · doi:10.1097/hs9.0000000000000768 · Cited by 13
Liang, X., Shi, W., Zhang, X., Pang, R., Zhang, K., Xu, Q., Xu, C., Wan, X. H., Cui, W., Li, D., et al. (2023) · BMC Medical Genomics · doi:10.1186/s12920-023-01708-3 · Cited by 13
Nguyen, S., McEvoy, L. K., Espeland, M. A., Whitsel, E. A., Lu, A. T.-H., Horvath, S., Manson, J. E., Rapp, S. R., & Shadyab, A. H. (2024) · Neurology · doi:10.1212/wnl.0000000000209534 · Cited by 13
Self-citationVerschoor, C. P., McEwen, L. M., Kobor, M. S., Loeb, M. B., & Bowdish, D. M. E. (2017) · Experimental Gerontology · doi:10.1016/j.exger.2017.10.010 · Cited by 13
Zhang, Y., Bewerunge‐Hudler, M., Schick, M., Burwinkel, B., Herpel, E., Hoffmeister, M., & Brenner, H. (2020) · Molecular Oncology · doi:10.1002/1878-0261.12738 · Cited by 13
Rigamonti, A. E., Bollati, V., Favero, C., Albetti, B., Caroli, D., Abbruzzese, L., Cella, S. G., & Sartório, A. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11164677 · Cited by 14
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
