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Human aging-associated DNA hypermethylation occurs preferentially at bivalent chromatin domains
Open accessAbstract
There is a growing realization that some aging-associated phenotypes/diseases have an epigenetic basis. Here, we report the first genome-scale study of epigenomic dynamics during normal human aging. We identify aging-associated differentially methylated regions (aDMRs) in whole blood in a discovery cohort, and then replicate these aDMRs in sorted CD4+ T-cells and CD14+ monocytes in an independent cohort, suggesting that aDMRs occur in precursor haematopoietic cells. Further replication of the aDMRs in buccal cells, representing a tissue that originates from a different germ layer compared with blood, demonstrates that the aDMR signature is a multitissue phenomenon. Moreover, we demonstrate that aging-associated DNA hypermethylation occurs predominantly at bivalent chromatin domain promoters. This same category of promoters, associated with key developmental genes, is frequently hypermethylated in cancers and in vitro cell culture, pointing to a novel mechanistic link between aberrant hypermethylation in cancer, aging, and cell culture.
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Citations
Cites
High-Resolution Profiling of Histone Methylations in the Human Genome
Barski, A., Cuddapah, S., Cui, K., Roh, T.-Y., Schones, D. E., Wang, Z., Wei, G., Chepelev, I., & Zhao, K. (2007) · Cell · doi:10.1016/j.cell.2007.05.009 · Cited by 6,845
A bivalent chromatin structure marks key developmental genes in embryonic stem cells
Bernstein, B. E., Mikkelsen, T. S., Xie, X., Kamal, M., Huebert, D. J., Cuff, J., Fry, B., Meissner, A., Wernig, M., Plath, K., et al. (2006) · Cell · doi:10.1016/j.cell.2006.02.041 · Cited by 5,361
Epigenetic differences arise during the lifetime of monozygotic twins
Fraga, M. F., Ballestar, E., Paz, M. F., Ropero, S., Setien, F., Ballestar, M. L., Heine-Suñer, D., Cigudosa, J. C., Urioste, M., Benitez, J., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0500398102 · Cited by 3,602
Self-citationGenome-scale DNA methylation maps of pluripotent and differentiated cells
Meissner, A., Mikkelsen, T. S., Gu, H., Wernig, M., Hanna, J., Sivachenko, A., Zhang, X., Bernstein, B. E., Nusbaum, C., Jaffe, D. B., et al. (2008) · Nature · doi:10.1038/nature07107 · Cited by 2,536
Schlesinger, Y., Straussman, R., Keshet, I., Farkash, S., Hecht, M., Zimmerman, J., Eden, E., Yakhini, Z., Ben-Shushan, E., Reubinoff, B. E., et al. (2007) · Nature Genetics · doi:10.1038/ng1950 · Cited by 1,226
Cell intrinsic alterations underlie hematopoietic stem cell aging
Rossi, D. J., Bryder, D., Zahn, J. M., Ahlenius, H., Sonu, R., Wagers, A. J., & Weissman, I. L. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0503280102 · Cited by 1,152
Epigenetic stem cell signature in cancer
Widschwendter, M., Fiegl, H., Egle, D., Mueller-Holzner, E., Spizzo, G., Marth, C., Weisenberger, D. J., Campan, M., Young, J., Jacobs, I., et al. (2007) · Nature Genetics · doi:10.1038/ng1941 · Cited by 1,143
Ohm, J. E., McGarvey, K. M., Yu, X., Cheng, L., Schuebel, K. E., Cope, L., Mohammad, H. P., Chen, W., Daniel, V. C., Yu, W., et al. (2007) · Nature Genetics · doi:10.1038/ng1972 · Cited by 1,130
Puzzles, promises and a cure for ageing
Vijg, J., & Campisi, J. (2008) · Nature · doi:10.1038/nature07216 · Cited by 407
Cited by
DNA methylation age of human tissues and cell types
Horvath, S. (2013) · Genome Biology · doi:10.1186/gb-2013-14-10-r115 · Cited by 7,075
Genome-wide methylation profiles reveal quantitative views of human aging rates
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
An epigenetic biomarker of aging for lifespan and healthspan
Levine, M. E., Lu, A. T., Quach, A., Chen, B. H., Assimes, T. L., Bandinelli, S., Hou, L., Baccarelli, A. A., Stewart, J. D., Li, Y., et al. (2018) · Aging · doi:10.18632/aging.101414 · Cited by 3,675
DNA methylation-based biomarkers and the epigenetic clock theory of ageing
Horvath, S., & Raj, K. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0004-3 · Cited by 3,095
Epigenetics and the environment: emerging patterns and implications
Feil, R., & Fraga, M. F. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3142 · Cited by 1,929
Pidsley, R., Zotenko, E., Peters, T. J., Lawrence, M. G., Risbridger, G. P., Molloy, P., Van Djik, S., Muhlhausler, B., Stirzaker, C., & Clark, S. J. (2016) · Genome biology · doi:10.1186/s13059-016-1066-1 · Cited by 1,480
Accounting for cellular heterogeneity is critical in epigenome-wide association studies
Jaffe, A. E., & Irizarry, R. A. (2014) · Genome Biology · doi:10.1186/gb-2014-15-2-r31 · Cited by 1,067
DNA methylation aging clocks: challenges and recommendations
Bell, C. G., Lowe, R., Adams, P. D., Baccarelli, A. A., Beck, S., Bell, J. T., Christensen, B. C., Gladyshev, V. N., Heijmans, B. T., Horvath, S., et al. (2019) · Genome Biology · doi:10.1186/s13059-019-1824-y · Cited by 1,025
Self-citationBocklandt, 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
DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines
Bell, J. T., Pai, A. A., Pickrell, J. K., Gaffney, D. J., Pique-Regi, R., Degner, J. F., Gilad, Y., & Pritchard, J. K. (2011) · Genome Biology · doi:10.1186/gb-2011-12-1-r10 · Cited by 838
Aging of blood can be tracked by DNA methylation changes at just three CpG sites
Weidner, C. I., Lin, Q., Koch, C. M., Eisele, L., Beier, F., Ziegler, P., Bauerschlag, D. O., Jöckel, K.-H., Erbel, R., Mühleisen, T. W., et al. (2014) · Genome Biology · doi:10.1186/gb-2014-15-2-r24 · Cited by 837
Horvath, S., Oshima, J., Martin, G. M., Lu, A. T., Quach, A., Cohen, H., Felton, S., Matsuyama, M., Lowe, D., Kabacik, S., et al. (2018) · Aging · doi:10.18632/aging.101508 · Cited by 815
Distinct DNA methylomes of newborns and centenarians
Heyn, H., Li, N., Ferreira, H. J., Moran, S., Pisano, D. G., Gomez, A., Diez, J., Sanchez-Mut, J. V., Setien, F., Carmona, F. J., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1120658109 · Cited by 802
Epigenetic clock analysis of diet, exercise, education, and lifestyle factors
Quach, A., Levine, M. E., Tanaka, T., Lu, A. T., Chen, B. H., Ferrucci, L., Ritz, B., Bandinelli, S., Neuhouser, M. L., Beasley, J. M., et al. (2017) · Aging · doi:10.18632/aging.101168 · Cited by 801
HIV-1 infection accelerates age according to the epigenetic clock
Horvath, S., & Levine, A. J. (2015) · Journal of Infectious Diseases · doi:10.1093/infdis/jiv277 · Cited by 556
DNA methylation dynamics in health and disease
Bergman, Y., & Cedar, H. (2013) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2518 · Cited by 592
Todd, J. A. (2010) · Immunity · doi:10.1016/j.immuni.2010.04.001 · Cited by 560
The roles of DNA, RNA and histone methylation in ageing and cancer
Michalak, E. M., Burr, M. L., Bannister, A. J., & Dawson, M. A. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0143-1 · Cited by 549
Zannas, A. S., Arloth, J., Carrillo-Roa, T., Iurato, S., Röh, S., Ressler, K. J., Nemeroff, C. B., Smith, A. K., Bradley, B., Heim, C., et al. (2015) · Genome Biology · doi:10.1186/s13059-015-0828-5 · Cited by 469
Dempster, E. L., Pidsley, R., Schalkwyk, L. C., Owens, S., Georgiades, A., Kane, F., Kalidindi, S., Picchioni, M., Kravariti, E., Toulopoulou, T., et al. (2011) · Human Molecular Genetics · doi:10.1093/hmg/ddr416 · Cited by 460
Volkmar, M., Dedeurwaerder, S., Cunha, D. A., Ndlovu, M. N., Defrance, M., Deplus, R., Calonne, E., Volkmar, U., Igoillo‐Esteve, M., Naamane, N., et al. (2012) · The EMBO Journal · doi:10.1038/emboj.2011.503 · Cited by 420
“…in T2D islets is in the same range as reported for other non-malignant conditions analysed with the same technology platform (19 in T1D-related nephropathy; Bell et al , 2010); 84 and 360, respectively, in analyses of ageing in cells and tissue specimens (Bork et al , 2009; Rakyan et al , 2010).”
Aging and epigenetic drift: a vicious cycle
Issa, J.-P. (2014) · Journal of Clinical Investigation · doi:10.1172/jci69735 · Cited by 419
DNA methylation signatures in development and aging of the human prefrontal cortex
Numata, S., Ye, T., Hyde, T. M., Guitart-Navarro, X., Tao, R., Wininger, M., Colantuoni, C., Weinberger, D. R., Kleinman, J. E., & Lipska, B. K. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.12.020 · Cited by 364
Differential immune system DNA methylation and cytokine regulation in post-traumatic stress disorder
Smith, A. K., Conneely, K. N., Kilaru, V., Mercer, K. B., Weiss, T. E., Bradley, B., Tang, Y., Gillespie, C. F., Cubells, J. F., & Ressler, K. J. (2011) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.31212 · Cited by 355
A twin approach to unraveling epigenetics
Bell, J. T., & Spector, T. D. (2011) · Trends in Genetics · doi:10.1016/j.tig.2010.12.005 · Cited by 353
Self-citationCorrelation of an epigenetic mitotic clock with cancer risk
Yang, Z., Wong, A., Kuh, D., Paul, D. S., Rakyan, V. K., Leslie, R. D., Zheng, S. C., Widschwendter, M., Beck, S., & Teschendorff, A. E. (2016) · Genome Biology · doi:10.1186/s13059-016-1064-3 · Cited by 325
Self-citationDecreased epigenetic age of PBMCs from Italian semi-supercentenarians and their offspring
Horvath, S., Pirazzini, C., Bacalini, M. G., Gentilini, D., Di Blasio, A. M., Delledonne, M., Mari, D., Arosio, B., Monti, D., Passarino, G., et al. (2015) · Aging · doi:10.18632/aging.100861 · Cited by 316
When is hub gene selection better than standard meta-analysis?
Langfelder, P., Mischel, P. S., & Horvath, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061505 · Cited by 313
Epigenetic changes during aging and their reprogramming potential
Kane, A. E., & Sinclair, D. A. (2019) · Critical Reviews in Biochemistry and Molecular Biology · doi:10.1080/10409238.2019.1570075 · Cited by 283
EpiFactors: a comprehensive database of human epigenetic factors and complexes
Medvedeva, Y. A., Lennartsson, A., Ehsani, R., Kulakovskiy, I. V., Vorontsov, I. E., Panahandeh, P., Khimulya, G., Kasukawa, T., The FANTOM Consortium, & Drabløs, F. (2015) · Database · doi:10.1093/database/bav067 · Cited by 298
Making sense of the ageing methylome
Seale, K., Horvath, S., Teschendorff, A., Eynon, N., & Voisin, S. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00477-6 · Cited by 274
Ronn, T., Volkov, P., Gillberg, L., Kokosar, M., Perfilyev, A., Jacobsen, A. L., Jorgensen, S. W., Brons, C., Jansson, P.-A., Eriksson, K.-F., et al. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv124 · Cited by 270
Caloric restriction delays age-related methylation drift
Maegawa, S., Lu, Y., Tahara, T., Lee, J. T., Madzo, J., Liang, S., Jelinek, J., Colman, R. J., & Issa, J.-P. J. (2017) · Nature Communications · doi:10.1038/s41467-017-00607-3 · Cited by 270
Reconfiguration of DNA methylation in aging
Zampieri, M., Ciccarone, F., Calabrese, R., Franceschi, C., Bürkle, A., & Caiafa, P. (2015) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2015.02.002 · Cited by 254
“Moreover, the same stem cell-like bivalent marks and PRC2 occupancy have been recognized to predispose tumor suppressor gene promoters to DNA hypermethylation in cancer.”
BackgroundInfluentialUnderlying features of epigenetic aging clocks in vivo and in vitro.
Liu, Z., Leung, D., Thrush, K., Zhao, W., Ratliff, S., Tanaka, T., Schmitz, L. L., Smith, J. A., Ferrucci, L., & Levine, M. E. (2020) · Aging Cell · doi:10.1111/acel.13229 · Cited by 227
Guénard, F., Deshaies, Y., Cianflone, K., Kral, J. G., Marceau, P., & Vohl, M.-C. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216959110 · Cited by 236
Dnmt3a loss predisposes murine hematopoietic stem cells to malignant transformation
Mayle, A., Yang, L., Rodriguez, B., Zhou, T., Chang, E., Curry, C. V., Challen, G. A., Li, W., Wheeler, D., Rebel, V. I., et al. (2015) · Blood · doi:10.1182/blood-2014-08-594648 · Cited by 235
Immune senescence, epigenetics and autoimmunity
Ray, D., & Yung, R. (2018) · Clinical Immunology · doi:10.1016/j.clim.2018.04.002 · Cited by 219
Hahn, O., Grönke, S., Stubbs, T. M., Ficz, G., Hendrich, O., Krueger, F., Andrews, S., Zhang, Q., Wakelam, M. J., Beyer, A., et al. (2017) · Genome Biology · doi:10.1186/s13059-017-1187-1 · Cited by 226
Slieker, R. C., Relton, C. L., Gaunt, T. R., Slagboom, P. E., & Heijmans, B. T. (2018) · Epigenetics & Chromatin · doi:10.1186/s13072-018-0191-3 · Cited by 207
A multi-tissue full lifespan epigenetic clock for mice
Thompson, M. J., Chwiałkowska, K., Rubbi, L., Lusis, A. J., Davis, R. C., Srivastava, A., Korstanje, R., Churchill, G. A., Horvath, S., & Pellegrini, M. (2018) · Aging · doi:10.18632/aging.101590 · Cited by 203
Watson, C. T., Roussos, P., Garg, P., Ho, D. J., Azam, N., Katsel, P. L., Haroutunian, V., & Sharp, A. J. (2016) · Genome Medicine · doi:10.1186/s13073-015-0258-8 · Cited by 201
The chromatin accessibility signature of human immune aging stems from CD8+ T cells
Ucar, D., Márquez, E. J., Chung, C.-H., Marches, R., Rossi, R. J., Uyar, A., Wu, T.-C., George, J., Stitzel, M. L., Palucka, A. K., et al. (2017) · Journal of Experimental Medicine · doi:10.1084/jem.20170416 · Cited by 200
The cerebellum ages slowly according to the epigenetic clock
Horvath, S., Mah, V., Lu, A. T., Woo, J. S., Choi, O.-W., Jasinska, A. J., Riancho, J. A., Tung, S., Coles, N. S., Braun, J., et al. (2015) · Aging · doi:10.18632/aging.100742 · Cited by 191
Cole, J. J., Robertson, N. A., Rather, M. I., Thomson, J. P., McBryan, T., Sproul, D., Wang, T., Brock, C., Clark, W., Ideker, T., et al. (2017) · Genome Biology · doi:10.1186/s13059-017-1185-3 · Cited by 182
Aging and reprogramming: a two-way street
Mahmoudi, S., & Brunet, A. (2012) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2012.10.004 · Cited by 171
An integrative multi-scale analysis of the dynamic DNA methylation landscape in aging
Yuan, T., Jiao, Y., de Jong, S., Ophoff, R. A., Beck, S., & Teschendorff, A. E. (2015) · PLOS Genetics · doi:10.1371/journal.pgen.1004996 · Cited by 155
“Although there is already considerable evidence that developmental transcription factors represent targets of epigenetic drift [2, 3], no study has yet explored in detail which transcription factor binding profiles may be disrupted in aging as a result of drift.”
BackgroundResultInfluentialLowe, R., Gemma, C., Beyan, H., Hawa, M. I., Bazeos, A., Leslie, R. D., Montpetit, A., Rakyan, V. K., & Ramagopalan, S. V. (2013) · Epigenetics · doi:10.4161/epi.24362 · Cited by 160
Self-citationEpigenetic clock analyses of cellular senescence and ageing.
Lowe, D., Horvath, S., & Raj, K. (2016) · Oncotarget · doi:10.18632/oncotarget.7383 · Cited by 147
Age‐associated increase in heterochromatic marks in murine and primate tissues
Kreiling, J. A., Tamamori‐Adachi, M., Sexton, A. N., Jeyapalan, J. C., Munoz‐Najar, U., Peterson, A. L., Manivannan, J., Rogers, E. S., Pchelintsev, N. A., Adams, P. D., et al. (2011) · Aging Cell · doi:10.1111/j.1474-9726.2010.00666.x · Cited by 152
Genetic and epigenetic regulation of human aging and longevity
Morris, B. J., Willcox, B. J., & Donlon, T. A. (2019) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2018.08.039 · Cited by 140
The Information Theory of Aging
Lu, Y. R., Tian, X., & Sinclair, D. A. (2023) · Nature Aging · doi:10.1038/s43587-023-00527-6 · Cited by 141
Dynamic DNA methylation during aging: A "prophet" of age-related outcomes
Xiao, F.-H., Wang, H.-T., & Kong, Q.-P. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00107 · Cited by 140
DNA Methylation Patterns Separate Senescence from Transformation Potential and Indicate Cancer Risk
Xie, W., Kagiampakis, I., Pan, L., Zhang, Y. W., Murphy, L., Tao, Y., Kong, X., Kang, B., Xia, L., Carvalho, F. L. F., et al. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.01.008 · Cited by 122
Paul, C., & Robaire, B. (2013) · Nature Reviews Urology · doi:10.1038/nrurol.2013.18 · Cited by 109
Batch effect correction for genome-wide methylation data with Illumina Infinium platform
Sun, Z., Chai, H. S., Wu, Y., White, W. M., Donkena, K. V., Klein, C. J., Garovic, V. D., Therneau, T. M., & Kocher, J.-P. A. (2011) · BMC Medical Genomics · doi:10.1186/1755-8794-4-84 · Cited by 108
Increased DNA methylation in the suicide brain
Haghighi, F., Xin, Y., Chanrion, B., O'Donnell, A. H., Ge, Y., Dwork, A. J., Arango, V., & Mann, J. J. (2014) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2014.16.3/jmann · Cited by 101
Hot topics in epigenetic mechanisms of aging: 2011
Berdasco, M., & Esteller, M. (2012) · Aging Cell · doi:10.1111/j.1474-9726.2012.00806.x · Cited by 86
Quantifying the stochastic component of epigenetic aging
Tong, H., Dwaraka, V. B., Chen, Q., Luo, Q., Lasky-Su, J. A., Smith, R., & Teschendorff, A. E. (2024) · Nature Aging · doi:10.1038/s43587-024-00600-8 · Cited by 83
Sharma, A., Jamil, M. A., Nuesgen, N., Schreiner, F., Priebe, L., Hoffmann, P., Herns, S., Nöthen, M. M., Fröhlich, H., Oldenburg, J., et al. (2015) · Clinical Epigenetics · doi:10.1186/s13148-015-0112-2 · Cited by 81
Kabacik, S., Horvath, S., Cohen, H., & Raj, K. (2018) · Aging · doi:10.18632/aging.101588 · Cited by 68
Transcriptomic profiles of aging in purified human immune cells
Reynolds, L. M., Ding, J., Taylor, J. R., Lohman, K., Soranzo, N., de la Fuente, A., Liu, T. F., Johnson, C., Barr, R. G., Register, T. C., et al. (2015) · BMC Genomics · doi:10.1186/s12864-015-1522-4 · Cited by 62
Synchrony and asynchrony between an epigenetic clock and developmental timing
Hoshino, A., Horvath, S., Sridhar, A., Chitsazan, A., & Reh, T. A. (2019) · Scientific Reports · doi:10.1038/s41598-019-39919-3 · Cited by 55
Differential DNA Methylation in Relation to Age and Health Risks of Obesity
Mansego, M., Milagro, F., Zulet, M., Moreno-Aliaga, M., & Martínez, J. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms160816816 · Cited by 47
Aging and cancer epigenetics: Where do the paths fork?
Pérez, R. F., Tejedor, J. R., Fernández, A. F., & Fraga, M. F. (2022) · Aging Cell · doi:10.1111/acel.13709 · Cited by 44
Age-associated changes in DNA methylation across multiple tissues in an inbred mouse model
Spiers, H., Hannon, E., Wells, S., Williams, B., Fernandes, C., & Mill, J. (2016) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2016.02.001 · Cited by 43
Xia, B., Gerstin, E., Schones, D. E., Huang, W., & Steven de Belle, J. (2016) · Aging · doi:10.18632/aging.101107 · Cited by 41
Sandovici, I., Hammerle, C. M., Cooper, W. N., Smith, N. H., Tarry-Adkins, J. L., Dunmore, B. J., Bauer, J., Andrews, S. R., Yeo, G. S. H., Ozanne, S. E., et al. (2016) · Diabetologia · doi:10.1007/s00125-015-3837-8 · Cited by 31
Effect 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
DNA-Methylation Changes in Replicative Senescence and Aging: Two Sides of the Same Coin?
Wagner, W., Fernandez-Rebollo, E., & Frobel, J. (2016) · Epigenomics · doi:10.2217/epi.15.100 · Cited by 13
Metadata
- Authors
- Rakyan, V. K., Down, T. A., Maslau, S., Andrew, T., Yang, T.-P., Beyan, H., Whittaker, P., McCann, O. T., Finer, S., Valdes, A. M., Leslie, R. D., Deloukas, P., & Spector, T. D.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2010-03-10
- Volume
- 20
- Issue
- 4
- Pages
- 434-439
- ISSN
- 1088-9051 (ISSN-L)
- OpenAlex
- W2039669402
- Cited by
- 750
- References
- 9
- Type
- posted content
- Language
- en
- Open access
- bronze
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