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DNA methylation changes of whole blood cells in response to active smoking exposure in adults: a systematic review of DNA methylation studies
Open accessAbstract
Active smoking is a major preventable public health problem and an established critical factor for epigenetic modification. In this systematic review, we identified 17 studies addressing the association of active smoking exposure with methylation modifications in blood DNA, including 14 recent epigenome-wide association studies (EWASs) and 3 gene-specific methylation studies (GSMSs) on the gene regions identified by EWASs. Overall, 1460 smoking-associated CpG sites were identified in the EWASs, of which 62 sites were detected in multiple (≥3) studies. The three most frequently reported CpG sites (genes) in whole blood samples were cg05575921 (AHRR), cg03636183 (F2RL3), and cg19859270 (GPR15), followed by other loci within intergenic regions 2q37.1 and 6p21.33. These significant smoking-related genes were further assessed by specific methylation assays in three GSMSs and reflected not only current but also lifetime or long-term exposure to active smoking. In conclusion, this review summarizes the evidences for the use of blood DNA methylation patterns as biomarkers of smoking exposure for research and clinical practice. In particular, it provides a reservoir for constructing a smoking exposure index score which could be used to more precisely quantify long-term smoking exposure and evaluate the risks of smoking-induced diseases.
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![Fig. 3 Effect sizes of smoking-induced methylation for current smokers and former smokers compared with non-smokers. Chr chromosome position, used the publically available data of Zeilinger et al. (median beta values) [6]](/paper-figures/bf2e3891d5f2412e862aebc331703c5c/dna-methylation-changes-of-whole-blood-cells-in-response-to-active-smoking-figure-3.jpg)
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“While smoking status has been reported to affect global DNA methylation levels (Gao et al., 2015)”
From Epigenome-wide DNA methylation in unipolar depression: predictive biomarker of antidepressant treatment response? (2024) · cites this paper as Gao et al., 2015
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Zhang, Q., Wang, C., Zheng, M., Li, Y., Li, J., Zhang, L., Shang, X., & Yan, C. (2014) · Cerebrovascular Diseases · doi:10.1159/000369778 · Cited by 11,609
Projections of Global Mortality and Burden of Disease from 2002 to 2030
Mathers, C. D., & Loncar, D. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030442 · Cited by 11,386
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
Lohmueller, K. E., Pearce, C. L., Pike, M., Lander, E. S., & Hirschhorn, J. N. (2003) · Nature Genetics · doi:10.1038/ng1071 · Cited by 1,900
Panic, N., Leoncini, E., de Belvis, G., Ricciardi, W., & Boccia, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083138 · Cited by 883
Tobacco smoking leads to extensive genome-wide changes in DNA methylation
Zeilinger, S., Kühnel, B., Klopp, N., Baurecht, H., Kleinschmidt, A., Gieger, C., Weidinger, S., Lattka, E., Adamski, J., Peters, A., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063812 · Cited by 824
Tobacco-smoking-related differential DNA methylation: 27K discovery and replication
Breitling, L. P., Yang, R., Korn, B., Burwinkel, B., & Brenner, H. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.03.003 · Cited by 640
Shenker, N. S., Polidoro, S., van Veldhoven, K., Sacerdote, C., Ricceri, F., Birrell, M. A., Belvisi, M. G., Brown, R., Vineis, P., & Flanagan, J. M. (2013) · Human Molecular Genetics · doi:10.1093/hmg/dds488 · Cited by 396
Cigarette smoking and DNA methylation
Lee, K. W. K., & Pausová, Z. (2013) · Frontiers in Genetics · doi:10.3389/fgene.2013.00132 · Cited by 384
Dynamics of smoking-induced genome-wide methylation changes with time since smoking cessation
Guida, F., Sandanger, T. M., Castagné, R., Campanella, G., Polidoro, S., Palli, D., Krogh, V., Tumino, R., Sacerdote, C., Panico, S., et al. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddu751 · Cited by 331
Research works printed but not linked: 1
- Zhang Y, Schottker B, Ordonez-Mena J, Holleczek B, Yang R, Burwinkel B et al. F2RL3 methylation, lung cancer incidence and mortality. Int J Cancer. 2015. doi: 10.1002/ijc.29537 . · DOI
Cited by
Sorted by citations
Items 201–300 of 417
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Benjamin, D., Cesarini, D., Turley, P., & Young, A. S. (2024) · doi:10.3386/w32404 · Cited by 20
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Haase, T., Müller, C., Krause, J., Röthemeier, C., Stenzig, J., Kunze, S., Waldenberger, M., Münzel, T. F., Pfeiffer, N., Wild, P. S., et al. (2018) · Biomolecules · doi:10.3390/biom8030074 · Cited by 19
Identification of gene expression predictors of occupational benzene exposure
Schiffman, C., McHale, C. M., Hubbard, A., Zhang, L., Thomas, R., Vermeulen, R. C. H., Li, G., Shen, M., Rappaport, S. M., Yin, S., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0205427 · Cited by 19
Epigenome-wide association studies for breast cancer risk and risk factors.
Johansson, A., & Flanagan, J. M. (2017) · PubMed · Cited by 19
Refinement of cg05575921 demethylation response in nascent smoking
Dawes, K., Andersen, A. M., Papworth, E., Hundley, B., Hutchens, N., Manawy, H. E., Becker, A., Sampson, L., Philibert, W., Gibbons, F. X., et al. (2020) · Clinical Epigenetics · doi:10.1186/s13148-020-00882-w · Cited by 19
Ringh, M. V., Hagemann-Jensen, M., Needhamsen, M., Kullberg, S., Wahlström, J., Grünewald, J., Brynedal, B., Jagodic, M., Ekström, T. J., Öckinger, J., et al. (2020) · Multiple Sclerosis Journal · doi:10.1177/1352458520943768 · Cited by 18
Pepłońska, B., Bukowska, A., Wieczorek, E., Lesicka, M., Zienolddiny, S., & Reszka, E. (2017) · PLoS ONE · doi:10.1371/journal.pone.0178792 · Cited by 18
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Jessen, W. J., Borgerding, M. F., & Prasad, G. L. (2018) · Biomarkers · doi:10.1080/1354750x.2018.1466367 · Cited by 17
Tamman, A. J. F., Montalvo‐Ortiz, J. L., Southwick, S. M., Krystal, J. H., Levy, B. R., & Pietrzak, R. H. (2019) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2019.01.001 · Cited by 18
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Dawes, K., Andersen, A. M., Vercande, K., Papworth, E., Philibert, W., Beach, S. R. H., Gibbons, F. X., Gerrard, M., & Philibert, R. A. (2019) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2018.0176 · Cited by 18
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Gomaa, N. A. (2022) · Journal of Dental Research · doi:10.1177/00220345221110196 · Cited by 16
Ventham, N. T., Kennedy, N. A., Kalla, R., Adams, A. T., Noble, A. J., Ennis, H., Arnott, I. D., Cahill, A., Smith, M., Ahmad, T., et al. (2023) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2023.06.001 · Cited by 16
Inference of tobacco and alcohol consumption habits from DNA methylation analysis of blood
Ambroa-Conde, A., de Cal, M. C., Gómez‐Tato, A., Robinson, O., Mosquera‐Miguel, A., de la Puente, M., Ruiz-Ramírez, J., Phillips, C., Lareu, M. V., & Freire-Aradas, A. (2024) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2024.103022 · Cited by 17
van Dongen, J., Willemsen, G. A. H. M., de Geus, E. J. C., Boomsma, D. I., & Neale, M. C. (2023) · eLife · doi:10.7554/elife.83286 · Cited by 19
Sabi, S. H., Khabour, O. F., Alzoubi, K. H., Cobb, C. O., & Eissenberg, T. (2020) · Inhalation Toxicology · doi:10.1080/08958378.2020.1754972 · Cited by 16
Ye, L., He, Z., Li, D., Chen, L., Chen, S., Guo, P., Yu, D., Ma, L., Niu, Y., Duan, H., et al. (2022) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2022.128538 · Cited by 17
Wang, Z., Zhao, J., Sun, J., Nie, S., Li, K., Gao, F., Zhang, T., Duan, S., Di, Y., Huang, Y., et al. (2016) · Neuroscience Letters · doi:10.1016/j.neulet.2016.04.016 · Cited by 16
Teschendorff, A. E., Breeze, C. E., Zheng, S., & Beck, S. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/101709 · Cited by 16
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McGinnis, K. A., Justice, A. C., Tate, J. P., Kranzler, H. R., Tindle, H. A., Becker, W. C., Concato, J., Gelernter, J. E., Li, B., Zhang, X., et al. (2018) · Addiction Biology · doi:10.1111/adb.12670 · Cited by 15
Floros, J., & Tsotakos, N. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.766719 · Cited by 16
Hessam, S., Sand, M. S., Lang, K., Käfferlein, H. U., Scholl, L., Gambichler, T., Skrygan, M., Brüning, T., Stockfleth, E., & Bechara, F. G. (2017) · Dermatology · doi:10.1159/000478043 · Cited by 15
McCaffery, J. M. (2018) · American Psychologist · doi:10.1037/amp0000253 · Cited by 15
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Philibert, R. A., Dogan, M. V., Mills, J. A., & Long, J. D. (2019) · Journal of Insurance Medicine · doi:10.17849/insm-48-1-1-11.1 · Cited by 15
Philibert, R. A., Dawes, K., Moody, J., Hoffman, R. M., Sieren, J. C., & Long, J. D. (2022) · Epigenetics · doi:10.1080/15592294.2022.2108082 · Cited by 14
Heiss, J. A., & Brenner, H. (2017) · Epigenomics · doi:10.2217/epi-2016-0154 · Cited by 13
Xu, T., Xie, M., Jing, X., Cui, J., Wu, X., & Shu, Y. (2021) · Cancers · doi:10.3390/cancers13174436 · Cited by 14
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Romano, A. D. R. R., Pagiatakis, C., Gornati, R., Bernardini, G., & Papait, R. (2025) · iScience · doi:10.1016/j.isci.2025.112613 · Cited by 13
Liu, T., Guo, W., Luo, K., Li, L., Dong, J., Liu, M., Shi, X., Wang, Z., Zhang, J., Yin, J., et al. (2022) · International Journal of Biological Sciences · doi:10.7150/ijbs.73428 · Cited by 13
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Kondratyev, N. V., Golov, A. K., Алфимова, М. В., Лежейко, Т. В., & Голимбет, В. Е. (2018) · Clinical Epigenetics · doi:10.1186/s13148-018-0565-1 · 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
Dionigi, C., Larsson, L., Difloe‐Geisert, J. C., Zitzmann, N. U., & Berglundh, T. (2022) · Journal of Periodontal Research · doi:10.1111/jre.13030 · Cited by 13
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Gao, X., Mons, U., Zhang, Y., Breitling, L. P., & Brenner, H. (2016) · European Journal of Epidemiology · doi:10.1007/s10654-016-0210-2 · Cited by 12
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Viet, C. T., Asam, K. R., Yu, G., Dyer, E., Kochanny, S. E., Thomas, C. M., Callahan, N. F., Morlandt, A. B., Cheng, A. C., Patel, A., et al. (2024) · npj Precision Oncology · doi:10.1038/s41698-024-00605-x · Cited by 12
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Callahan, C. L., Bonner, M. R., Nie, J., Wang, Y., Tao, M., Shields, P. G., Marian, C., Eng, K. H., Trevisan, M., & Freudenheim, J. L. (2019) · Cancer Causes & Control · doi:10.1007/s10552-018-1102-4 · Cited by 12
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Kibble, M., Khan, S. A., Ammad-ud-din, M., Bollepalli, S., Palviainen, T., Kaprio, J. A., Pietiläinen, K. H., & Ollikainen, M. (2020) · Royal Society Open Science · doi:10.1098/rsos.200872 · Cited by 10
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Bruzzone, S. E. P., Ozenne, B., Fisher, P. M., Ortega, G., Jensen, P. S., Dam, V. H., Svarer, C., Knudsen, G. M., Lesch, K., & Frøkjær, V. G. (2024) · Clinical Epigenetics · doi:10.1186/s13148-024-01678-y · Cited by 10
Cariaga-Martínez, A. E., & Alelú‐Paz, R. (2016) · Journal of Negative Results in BioMedicine · doi:10.1186/s12952-016-0064-x · Cited by 10
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Xu, X., Xu, S., Fu, L.-C., Hu, Q., Lv, Y., & Du, L. (2016) · Biomedical Reports · doi:10.3892/br.2016.775 · Cited by 9
Hedström, A. K., Hössjer, O., Hillert, J. A., Stridh, P., Kockum, I. S., Olsson, T. P., & Alfredsson, L. S. (2019) · Multiple Sclerosis Journal · doi:10.1177/1352458519877685 · Cited by 10
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Nwanaji‐Enwerem, J. C., Cárdenas, A., Chai, P. R., Weisskopf, M. G., Baccarelli, A., & Boyer, E. W. (2018) · Nicotine & Tobacco Research · doi:10.1093/ntr/nty156 · Cited by 9
Emilia, A. G., Marcu, A., Moatăr, A. I., Samoilă, C., Podariu, A. C., Șeclăman, E. P., & Marian, C. (2020) · Journal of International Medical Research · doi:10.1177/0300060520954677 · Cited by 9
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Jiang, M., Wang, X., Gao, X., Cárdenas, A., Baccarelli, A., Guo, X., Huang, J., & Wu, S. (2022) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2022.113634 · Cited by 8
Liu, J., Zhao, W., Ammous, F., Turner, S. T., Mosley, T. H., Zhou, X., & Smith, J. A. (2019) · Epigenetics · doi:10.1080/15592294.2019.1581589 · Cited by 8
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Okazaki, S., Kimura, R., Otsuka, I., Tomiwa, K., Funabiki, Y., Hagiwara, M., Murai, T., & Hishimoto, A. (2022) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13613 · Cited by 7
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Zhang, H., Zheng, Y., Yoon, G., Zhang, Z., Gao, T., Joyce, B. T., Zhang, W., Schwartz, J. D., Vokonas, P., Colicino, E., et al. (2017) · Statistical Applications in Genetics and Molecular Biology · doi:10.1515/sagmb-2016-0073 · Cited by 7
Gao, X., Zhang, Y., Schöttker, B., & Brenner, H. (2018) · Clinical Epigenetics · doi:10.1186/s13148-018-0515-y · Cited by 7
Awada, Z., Bouaoun, L., Nasr, R., Tfayli, A., Cuenin, C., Akika, R., Boustany, R., Makoukji, J., Tamim, H., Zgheib, N. K., et al. (2021) · Environmental Research · doi:10.1016/j.envres.2021.111094 · Cited by 6
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Zitouni, K., Steyn, M., Lewis, J. E. A., Kelly, F. J., Cook, P. R., & Earle, K. (2025) · Antioxidants · doi:10.3390/antiox14070858 · Cited by 6
Tan, Q., Møller, A. M. J., Qiu, C., Madsen, J. S., Shen, H., Bechmann, T., Delaissé, J., Kristensen, B. W., Deng, H., Karasik, D., et al. (2023) · Clinical Epigenetics · doi:10.1186/s13148-023-01449-1 · Cited by 6
Huang, B. Z., Binder, A. M., Quon, B. K., Patel, Y. M., Lum‐Jones, A., Tiirikainen, M., Murphy, S. E., Loo, L. W. M., Maunakea, A. K., Haiman, C. A., et al. (2024) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2024.01.012 · Cited by 6
Eckhardt, C. M., Wu, H., Prada, D., Vokonas, P., Sparrow, D., Hou, L., Schwartz, J. D., & Baccarelli, A. (2022) · Respiratory Medicine · doi:10.1016/j.rmed.2022.106896 · Cited by 6
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Hilser, J. R., Hartiala, J., Sriprasert, I., Kono, N., Cai, Z., Karim, R., DeYoung, J. A., Mack, W. J., Hodis, H. N., & Allayee, H. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01311-w · Cited by 6
Shang, J., Nie, X., Qi, Y., Zhou, J., & Qi, Y. (2023) · World Journal of Surgical Oncology · doi:10.1186/s12957-023-03099-2 · Cited by 6
Алфимова, М. В., Kondratyev, N. V., Golov, A. K., & Голимбет, В. Е. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2018.12.134 · Cited by 6
Dong, Y., Li, M., He, Q., Tong, Y.-F., Gao, H., Zhang, Y.-Z., Wu, Y., Hu, J., Zhang, N., & Song, K. (2020) · BioMed Research International · doi:10.1155/2020/2471915 · Cited by 6
Cao, S., Zeng, Y., Pang, K., Chen, M., Guo, R., Wu, N., Fang, C., Deng, H., Zhang, X., Xie, X., et al. (2025) · Clinical Epigenetics · doi:10.1186/s13148-024-01808-6 · Cited by 6
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Chaar, D., Nguyen, K. A., Wang, Y.-Z., Ratliff, S. M., Mosley, T. H., Kardia, S. L. R., Smith, J. A., & Zhao, W. (2022) · Genes · doi:10.3390/genes13112150 · Cited by 5
Ortega, V. E. (2018) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201801-0084ed · Cited by 5
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Ollier, W., Muir, K. R., Lophatananon, A., Verma, A., & Yuille, M. (2018) · Personalized Medicine · doi:10.2217/pme-2017-0068 · Cited by 5
Yunt, Z. X., Aschner, Y., & Brown, K. M. (2018) · Elsevier eBooks · doi:10.1016/b978-0-323-54431-3.00010-x · Cited by 5
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Andersen, A. M., Ryan, P. T., Gibbons, F. X., Simons, R. L., Long, J. D., & Philibert, R. A. (2018) · Journal of Insurance Medicine · doi:10.17849/insm-47-4-1-10.1 · Cited by 5
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Han, Q., Wang, Y., Sun, N., Chu, J., Hu, W., & Shen, Y. (2023) · Statistical Applications in Genetics and Molecular Biology · doi:10.1515/sagmb-2023-0031 · Cited by 4
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Fitzgerald, S., Bhat, B., Print, C. G., & Jones, G. T. (2024) · Clinical Epigenetics · doi:10.1186/s13148-024-01659-1 · Cited by 2
Chaar, D., Tu, L., Moore, K., Du, J., Opsasnick, L. A., Ratliff, S. M., Mosley, T. H., Kardia, S. L. R., Zhao, W., Zhou, X., et al. (2025) · BMC Medicine · doi:10.1186/s12916-024-03845-7 · Cited by 5
Duko, B., Bedaso, A., Dachew, B. A., Newnham, E. A., Gebremedhin, A. T., Tessema, G. A., Einarsdóttir, K., Alati, R., & Pereira, G. F. (2024) · Addictive Behaviors · doi:10.1016/j.addbeh.2024.107985 · Cited by 4
Lucia, R. M., Huang, W., Alvarez, A., Thampy, D., Elyasian, M., Hidajat, A., Yang, K. J., Forman, D., Pebdani, A., Masunaka, I. K., et al. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17051774 · Cited by 4
Scherer, M., Gasparoni, G., Rahmouni, S., Shashkova, T., Arnoux, M., Louis, E. J., Nostaeva, A. V., Avalos, D., Dermitzakis, E. T., Aulchenko, Y. S., et al. (2021) · Epigenetics & Chromatin · doi:10.1186/s13072-021-00415-6 · Cited by 3
Reed, K., Cleveland, S., Thomas, J. L., Hsu, A., Jeong, A., Nguyen, J., Patel, A., Zhang, S., & Sumner, J. A. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-823039-8.00016-2 · Cited by 4
Duran-Barragán, S., Bátiz-Andrade, J. P., Valenzuela-Marrufo, R. A., & Alarcón, G. S. (2021) · Revista Colombiana de Reumatología · doi:10.1016/j.rcreu.2021.02.008 · Cited by 4
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Steyaert, S., Trooskens, G., Delanghe, J., & Criekinge, W. V. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.14.251538 · Cited by 4
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Singh, K., Jin, Y. O., Hu, M.-W., Palazzo, I., Cano, M., Hoang, T. V., Bhutto, I. A., Wang, S., Sinha, D., Blackshaw, S., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.27.635096 · Cited by 4
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Bordoni, L., Malinowska, A. M., Petracci, I., Chmurzyńska, A., & Gabbianelli, R. (2022) · Nutrition and Healthy Aging · doi:10.3233/nha-220160 · Cited by 3
Metadata
- Authors
- Gao, X., Jia, M., Zhang, Y., Breitling, L. P., & Brenner, H.
- Affiliations
- German Cancer Research Center (DE)
- Corresponding author
- Brenner, Hermann
- Venue
- Clinical Epigenetics
- Published
- 2015-10-16
- Volume
- 7
- Issue
- 1
- Pages
- 113-113
- ISSN
- 1868-7075 (ISSN-L)
- 1868-7083
- PMC
- PMC4609112
- OpenAlex
- W1918724965
- Cited by
- 386
- References
- 41
- Citations by year
- 2026: 7 · 2025: 20 · 2024: 31 · 2023: 21 · 2022: 36 · 2021: 32 · 2020: 53 · 2019: 51 · 2018: 50 · 2017: 55 · 2016: 29 · 2015: 1
- FWCI
- 4.36
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Clinical Epigenetics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- China Scholarship Council
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Smoking Behavior and Cessation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- active smoking, DNA methylation, whole blood, epigenome-wide association study, gene-specific methylation, AHRR, F2RL3, GPR15, CpG sites
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