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 901–999 of 999
Artificial intelligence approaches in biological age prediction: current status and challenges
Wang, G., Ding, P., Li, Z., Tang, Q., Tu, L., Jiang, T., Zhang, L., Su, B., Xu, J., & An, H. (2026) · British Journal of Biomedical Science · doi:10.3389/bjbs.2026.16141 · Cited by 1
Functional, molecular, and digital measurements of biological age
Cheema, B. S., Boztepe, B., Awofolaju, M., Hubbard, M. S., Marcus, W. B., Palella, F. J., Abdel‐Mohsen, M., Liebovitz, D., Gill, M. K., Cotton, R. J., et al. (2026) · Journal of Clinical Investigation · doi:10.1172/jci205777 · Cited by 1
Shao, Z., Zhao, Y. Q., Haiming, Y., Meng, X., Song, M., Liao, C., Pang, Y., Gao, W. J., Huang, T., Yu, C., et al. (2026) · Journal of Translational Internal Medicine · doi:10.1515/jtim-2026-0046 · Cited by 2
Ge, X., Jiang, C., Wu, C., Fang, X., & Zhang, X. (2026) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-026-02325-8 · Cited by 1
Tian, L., & Drentea, P. (2026) · Research on Aging · doi:10.1177/01640275261470575 · Cited by 1
New insights into the role of DNA methylation in cardiovascular disease
Bardi, N., Carbone, F., & Montecucco, F. (2018) · European Journal of Clinical Investigation · doi:10.1111/eci.13051 · Cited by 1
Onco-urologie du sujet âgé : aspects épidemiologiques et biologiques
Mongiat-Artus, P., Paillaud, É., Albrand, G., & Neuzillet, Y. (2019) · The French Journal of Urology · doi:10.1016/j.purol.2019.08.276 · Cited by 1
Cellular Senescence in Aging Mucosal Tissues Is Accentuated by Periodontitis
Ebersole, J. L., & González, O. A. (2020) · Springer eBooks · doi:10.1007/978-3-030-42990-4_8 · Cited by 1
Exercise and/or Stress Effects on the Epigenetic Clock
Voisin, S. A. C. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-813156-5.00026-1 · Cited by 1
Prospects for assessing the biological and immunological age of a person by blood factors
Kurgan, N. D., Panova, E. I., Silakova, L. V., Каганский, А. М., & Александрович, Р. С. (2021) · Science and Innovations in Medicine · doi:10.35693/2500-1388-2021-6-4-19-39 · Cited by 2
Soriano‐Tárraga, C., Jiménez-Conde, J., & Roquer, J. (2018) · Springer eBooks · doi:10.1007/978-3-319-31143-2_123-1 · Cited by 1
Is Biological Aging a Treatable Disease? A Consideration Based on Proposed Mechanisms of Aging
Goto, S. (2024) · YAKUGAKU ZASSHI · doi:10.1248/yakushi.23-00165-5 · Cited by 1
Race, Poverty Status at Birth, and DNA Methylation of Youth at Age 15
Assari, S., & Zare, H. (2024) · Global Journal of Epidemiology and Infectious Disease · doi:10.31586/gjeid.2024.988 · Cited by 1
Association of accelerated biological aging with brain volumes: A cross-sectional study
Liu, C., Cai, Q., Gou, Y., Liu, Y., Kang, M., Hui, J., Zhou, R., Shi, P., Wang, B., & Zhang, F. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.08.078 · Cited by 1
Concurrent systems and time synchronization
Burgin, M., & Grathoff, A. (2018) · International Journal of General Systems · doi:10.1080/03081079.2018.1425298 · Cited by 1
Alternative stromal cell-based therapies for aging and regeneration
Deka, D., Das, A., Bhatiya, M., Pathak, S., & Banerjee, A. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-820071-1.00011-6 · Cited by 2
Oshima, J., Hisama, F. M., & Martin, G. M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-812537-3.00015-9 · Cited by 1
Marini, S., Davis, K. A., Soare, T. W., Suderman, M. J., Simpkin, A. J., Smith, A. D. A. C., Wolf, E. J., Relton, C. L., & Dunn, E. C. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/355743 · Cited by 1
Koen, N., Jones, M. J., Nhapi, R. T., Donald, K. A., Barnett, W., Hoffman, N., MacIsaac, J. L., Morin, A. M., Lin, D. T. S., Kobor, M. S., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/503623 · Cited by 1
GWAS of epigenetic ageing rates in blood reveals a critical role for TERTPreprint
Lu, A. T.-H., Xue, L., Salfati, E., Chen, B. H., Ferrucci, L., Levy, D. A., Joehanes, R., Murabito, J. M., Kiel, D. P., Tsai, P.-C., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/157776 · Cited by 1
Self-citationSegev, E., Shahal, T., Konstantinovsky, T., Marcus, Y., Shefer, G., Ebenstein, Y., Pasmanik‐Chor, M., & Stern, N. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.02.510495 · Cited by 1
Fitzgerald, K. N., Campbell, T., Makarem, S. C., & Hodges, R. (2023) · doi:10.31219/osf.io/24fhs · Cited by 1
Pan, L., Liu, Y., Huang, C., Huang, Y., Lin, R., Wei, K., Zhou, Y., Yao, Y., Qin, G., & Yu, Y. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4859546 · Cited by 1
Social and environmental predictors of gut microbiome age in wild baboonsPreprint
Dasari, M. R., Roche, K. E., Jansen, D., Anderson, J. A., Alberts, S. C., Tung, J., Gilbert, J. A., Blekhman, R., Mukherjee, S., & Archie, E. A. (2024) · eLife · doi:10.7554/elife.102166.1 · Cited by 1
Immune cell composition is an important contributor to epigenetic age variation
Marttila, S. (2025) · Epigenomics · doi:10.1080/17501911.2025.2476391 · Cited by 1
From Methylation to Metabolism: Linking Molecular Layers in Diabetes Risk
Nguyen, C. M., & Seldin, M. M. (2025) · Diabetes · doi:10.2337/dbi25-0044 · Cited by 1
Biological Measures of Human Aging Gain Credibility
Komaroff, A. L. (2016) · Journal watch · doi:10.1056/nejm-jw.na42598
An epigenome-wide association study of educational attainment ( n = 10,767)Preprint
Linnér, R. K., Marioni, R. E., Rietveld, C. A., Simpkin, A. J., Davies, N. M., Watanabe, K., Armstrong, N. J., Auro, K. M., Baumbach, C., Bonder, M. J., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/114637 · Cited by 1
Self-citationDefective DNA Methylation/Demethylation Processes Define Aging-Dependent Methylation Patterns
Zampieri, M., Ciccarone, F., & Caiafa, P. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-811060-7.00002-4
Lessons from Knowledge on the Correlates of the Age of Onset of Physical Illness
Fiorito, G., Sacerdote, C., & Vineis, P. (2018) · Springer eBooks · doi:10.1007/978-3-319-72619-9_2
Trajectory of brain maturation in adolescent individuals at familial risk of mood disorderPreprint
de Nooij, L., Harris, M. A., Hawkins, E. L., Shen, X., Clarke, T., Chan, S. W. Y., Ziermans, T. B., McIntosh, A. M., & Whalley, H. C. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/537951
Genomic and Epigenomic Potential With Age: Genome, Epigenome, and the Epigenetic Clock
Gutman, D., & Atzmon, G. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-814879-2.00019-4
Race in the social-epigenomic regulation of pre- and perinatal development
Lane, R. H., Majnik, A. V., & Segar, J. L. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816843-1.00009-6
DNA methylation and aging : a longitudinal study of old Swedish twins
Wang, Y. (2020) · Figshare
Gatto, F., & Ueda, P. (2020) · medRxiv · doi:10.1101/2020.04.27.20081406
Epigenetics and imprinting in assisted reproduction
Marín, D., & Seli, E. U. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816561-4.00005-3
A CLINICAL TRIAL USING METHYLATION AGE TO EVALUATE CURRENT ANTI-AGING PRACTICES
Mitteldorf, J. (2020) · International Conference in Celebration of the Birthday of Professor V.P. Skulachev · doi:10.30826/homosapiens-2020-19
Molecular and Epigenetic Clocks of Aging
Raj, S. M., & Lussier, A. A. (2019) · Springer eBooks · doi:10.1007/978-3-319-69892-2_725-2
Epigenetics of allergies: From birth to childhood
DeVries, A., & Vercelli, D. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817964-2.00012-5
Amplification of the epigenetic (gestational) age acceleration signalPreprint
Lee, Y., & Bohlin, J. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.02.429312
Iän virallinen muuttaminen tulisi sallia
Räsänen, J. (2021) · Gerontologia · doi:10.23989/gerontologia.100289
Las armas de la villa de Pinto
Couto, F. G. (2005) · Anales del Instituto de Estudios Históricos del Sur de Madrid "Jiménez de Gregorio"
Sharoni, E. Y. (2021) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Euclydes, V. L. V. (2020) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.5.2020.tde-11062021-101503
Large-scale integration of DNA methylation and gene expression array platformsPreprint
Lancaster, E. E., Vladimirov, V. I., Riley, B. P., Landry, J. W., Roberson‐Nay, R., & York, T. P. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.12.455267
Vasileva, D. (2021) · cIRcle (University of British Columbia) · doi:10.14288/1.0401381
叙述という行為におけるポリティクス--現代史・同時代史の叙述という問題構成を中心に
浅岡, 隆. (2011) · 立正大学文学部論叢
Altern messen – Biomarker des Alterungsprozesses
Weber, B., Heddergott, C., Juchem, N., & Menzel, A. (2022) · Springer eBooks · doi:10.1007/978-3-662-61417-4_2
Molecular and Epigenetic Clocks of Aging
Raj, S. M., & Lussier, A. A. (2021) · Springer eBooks · doi:10.1007/978-3-030-22009-9_725
Muralidharan, A., & Harvey, P. D. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818697-8.00030-3
Modern use of biomarkers in geriatric medicine
Walter, S. (2022) · Wiley eBooks · doi:10.1002/9781119484288.ch109
Hansen, K. D., Siegmund, K. D., & Lin, S. (2019) · Wiley eBooks · doi:10.1002/9781119487845.ch33
Vågerö, D., Aronsson, V., & Modin, B. (2019) · Healthy ageing and longevity · doi:10.1007/978-3-030-24958-8_13
Schmidt, C. W. (2019) · Huanjing yu jiankang zhanwang · doi:10.1289/ehp4579-zh
Feltham, C. (2016) · Springer eBooks · doi:10.1007/978-3-319-16999-6_536-1
Molecular and Epigenetic Clocks of Aging
Raj, S. M., & Lussier, A. A. (2019) · Springer eBooks · doi:10.1007/978-3-319-69892-2_725-1
Corella, D., Sorlí, J. V., & Coltell, Ó. (2018) · Elsevier eBooks · doi:10.1016/b978-0-08-100596-5.22049-0
Feltham, C. (2021) · Springer eBooks · doi:10.1007/978-3-319-19650-3_536
Epigenetic markers of adverse lifestyle identified among night shift workersPreprint
Hulls, P. M., McCartney, D. L., Bao, Y., Walker, R. M., de Vocht, F., Martin, R. M., Relton, C. L., Evans, K. L., Meena Kumari, B., Marioni, R. E., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.13.499754
Self-citationBiomarkers associated with early detection of aging in human: a review
Bera, A., & Roy, P. (2022) · YMER Digital · doi:10.37896/ymer21.08/61
Machine learning in the context of better healthcare in aging
Henriques, J. M. O., Ribeiro, C., Rocha, T., Paredes, S., Carvalho, P., Duarte, A. I., Freitas, A. A., Cunha‐Oliveira, T., & Pereira, F. B. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-823761-8.00015-x
Ware, E. B., Tejera, C. H., Harris, S. M., Fisher, J., & Bakulski, K. M. (2022) · medRxiv · doi:10.1101/2022.12.23.22283919
Impact of social determinants of health on DNA methylation
Herrera‐Moreno, J. F., Rojas‐García, A. E., Medina‐Díaz, I. M., Bernal-Hernández, Y. Y., González-Arias, C. A., Barrón-Vivanco, B. S., & Ramos, K. S. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-824010-6.00017-4
Introduction, Epidemiology, Measurement, and the Cycle of Trauma
Brewer‐Smyth, K. (2022) · Springer eBooks · doi:10.1007/978-3-031-08801-8_1
Potential Lifelong Neurobiological, Bio-behavioral, and Other Outcomes of Trauma
Brewer‐Smyth, K. (2022) · Springer eBooks · doi:10.1007/978-3-031-08801-8_3
Brain age prediction improves the early detection of Alzheimer’s disease in East Asian elderlyPreprint
Choi, U.-S., Park, J. Y., Lee, J. J., Choi, K. Y., Won, S., & Lee, K. H. (2023) · medRxiv · doi:10.1101/2023.02.28.23286588
A REVIEW OF THE EPIGENETIC CLOCK: EMERGING BIOMARKERS FOR ASTHMA AND ALLERGIC DISEASEPreprint
Daley, D., Vasileva, D., & Greenwood, C. M. T. (2023) · doi:10.22541/au.167954587.70061237/v1
Zang, Z., Qiao, R., Zhu, Q., Zhou, X., Gu, W., Han, B., & Yang, R. (2023) · PubMed Central · doi:10.12122/j.issn.1673-4254.2023.03.03
Meier, M., Kantelhardt, S., Gurri, L., Stadler, C., Schmid, M., Clemens, V., O’Donovan, A., Boonmann, C., Bürgin, D., & Unternäehrer, E. (2023) · doi:10.31234/osf.io/merqk
Sillanpää, E., Tynkkynen, N. P., Törmäkangas, T., Palviainen, T., Hyvärinen, M., Joensuu, L., Klevjer, M., Bye, A., Paula, P., Waller, K. L., et al. (2023) · European Journal of Public Health · doi:10.1093/eurpub/ckad133.184
The Pandora Box from 12 Countries: Who Benefits More from Modern Interventions?Preprint
Lin, Y. (2024) · Qeios · doi:10.32388/jpicv8
The heterogeneous approach to reach longevity: the experience of Italian centenarians
Arosio, B., Ferri, E., Mari, D., & Vitale, G. (2024) · Journal of Gerontology and Geriatrics · doi:10.36150/2499-6564-n604
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) · Figshare · doi:10.6084/m9.figshare.13059533
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) · Figshare · doi:10.6084/m9.figshare.13059530
Gunasekara, C., MacKay, H., Scott, C. A., Li, S., Laritsky, E., Baker, M. S., Grimm, S. L., Jun, G., Li, Y., Chen, R., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22610221
Matías‐García, P. R., Ward-Caviness, C. K., Raffield, L. M., Gao, X., Zhang, Y., Wilson, R., Gao, X. Y., Nano, J., Bostom, A. G., Colicino, E., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14722140
Self-citationAdditional file 2 of Characteristics of epigenetic aging across gestational and perinatal tissues
Dieckmann, L., Lahti‐Pulkkinen, M., Kvist, T., Lahti, J. M. T., DeWitt, P. E., Cruceanu, C., Laivuori, H. M., Sammallahti, S., Villa, P., Suomalainen‐König, S., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14516125
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) · Figshare · doi:10.6084/m9.figshare.13059572
Additional file 1 of Characteristics of epigenetic aging across gestational and perinatal tissues
Dieckmann, L., Lahti‐Pulkkinen, M., Kvist, T., Lahti, J. M. T., DeWitt, P. E., Cruceanu, C., Laivuori, H. M., Sammallahti, S., Villa, P., Suomalainen‐König, S., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14516122
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) · Figshare · doi:10.6084/m9.figshare.13059536
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) · Figshare · doi:10.6084/m9.figshare.13059539
Additional file 9 of Characteristics of epigenetic aging across gestational and perinatal tissues
Dieckmann, L., Lahti‐Pulkkinen, M., Kvist, T., Lahti, J. M. T., DeWitt, P. E., Cruceanu, C., Laivuori, H. M., Sammallahti, S., Villa, P., Suomalainen‐König, S., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14516146
Bejaoui, Y., Amanullah, F. H., Saad, M., Taleb, S., Bradić, M., Mégarbané, A., Hssain, A. A., Khalil, C. A., & Hajj, N. E. (2023) · Figshare · doi:10.6084/m9.figshare.24655925
Knisely, M. R., Masese, R. V., Mathias, J. G., Yang, Q., Hatch, D., Lê, B. M., Luyster, F. S., Garrett, M. E., Tanabe, P. J., Shah, N., et al. (2024) · Biological Research For Nursing · doi:10.1177/10998004241250322 · Cited by 1
Cross Tissue DNAm Biomarker Prediction using Transfer LearningPreprint
McGreevy, K. M., Chen, B. H., Horvath, S., & Telesca, D. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.01.596949
Self-citationRiccardi, N., Banister, C. E., Busby, N., Newman-Norlund, S. E., Newman‐Norlund, R., Rangus, I., Teghipco, A., Rorden, C., Fridriksson, J., & Bonilha, L. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4890203
Neurological Impact of Type I Interferon Dysregulation
Mylonas, A. (2024) · IntechOpen eBooks · doi:10.5772/intechopen.1006023
Martínez-Enguita, D., Hillerton, T., Åkesson, J., Kling, D., Lerm, M., & Gustafsson, M. (2024) · Research Square · doi:10.21203/rs.3.rs-4863132/v1
Jacob, L. M. D. S., & Jacob, I. M. A. (2024) · RECIMA21 - Revista Científica Multidisciplinar · doi:10.47820/recima21.v5i1.5593 · Cited by 1
Räsänen, J. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-91799-5.00006-1
Zhou, Y., Cai, Y., Zheng, P., Chen, X., Mu, Z., Xu, C., & Mao, S. (2024) · Research Square · doi:10.21203/rs.3.rs-5535673/v1
A Comprehensive Assessment of Methylation-Based Age Prediction MethodsPreprint
Wang, H., Qu, J., Zong, Z. X., Cai, R., Li, K., Zhao, L., Hai, B., Tian, R., Kuang, Z., Zhang, L., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.23.627443
Bennett, R., Morselli, M., Peshkin, L., & Pellegrini, M. A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.21.629929
The Association of Body Temperature with Longevity: Insights from Historical Cohorts
Chmielewski, P. P., & Chmielowiec, K. (2025) · Anthropological Review · doi:10.18778/1898-6773.88.1.04
Belsky, D. W., Wilson, D. M., & Ferrucci, L. (2025) · Oxford University Press eBooks · doi:10.1093/oso/9780198895961.003.0014
Self-citationChatterjee, P., Jain, R., Attri, P., Chakrawarty, A., Rani, L., Dey, S., Pradhan, R., Kulshrestha, V., Ramakrishnan, L., & Chatterjee, P. (2025) · Biology Methods and Protocols · doi:10.1093/biomethods/bpaf053
The Illumina Infinium methylation assay for genome-wide methylation analyses
Nakabayashi, K. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-26759-8.00011-4
Association between blood-derived biological aging and bone mineral density among US adults
Wu, L., Wang, J., Liu, X., Wang, X., & Yue, X. (2025) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-025-09213-7
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