Lower DNA methylation levels in CpG island shores of CR1, CLU, and PICALM in the blood of Japanese Alzheimer’s disease patients
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Abstract
The aim of the present study was to (1) investigate the relationship between late-onset Alzheimer's disease (AD) and DNA methylation levels in six of the top seven AD-associated genes identified through a meta-analysis of recent genome wide association studies, APOE, BIN1, PICALM, CR1, CLU, and ABCA7, in blood, and (2) examine its applicability to the diagnosis of AD. We examined methylation differences at CpG island shores in the six genes using Sanger sequencing, and one of two groups of 48 AD patients and 48 elderly controls was used for a test or replication analysis. We found that methylation levels in three out of the six genes, CR1, CLU, and PICALM, were significantly lower in AD subjects. The combination of CLU methylation levels and the APOE genotype classified AD patients with AUC = 0.84 and 0.80 in the test and replication analyses, respectively. Our study implicates methylation differences at the CpG island shores of AD-associated genes in the onset of AD and suggests their diagnostic value.
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DNA methylation alterations can be detected in the blood of AD subjects.
“and can also be detected in the blood of AD subjects [25–31].”
From Distinct sex-specific DNA methylation differences in Alzheimer’s disease (2022) · cites this paper as [31]
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Cites
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649 · see citing works
A scaling normalization method for differential expression analysis of RNA-seq data
Robinson, M. D., & Oshlack, A. (2010) · Genome Biology · doi:10.1186/gb-2010-11-3-r25 · Cited by 7,876 · see citing works
Human DNA methylomes at base resolution show widespread epigenomic differences
Lister, R., Pelizzola, M., Dowen, R. H., Hawkins, R. D., Hon, G., Tonti-Filippini, J., Nery, J. R., Lee, L., Ye, Z., Ngo, Q.-M., et al. (2009) · Nature · doi:10.1038/nature08514 · Cited by 4,673 · see citing works
Harold, D., Abraham, R., Hollingworth, P., Sims, R., Gerrish, A., Hamshere, M. L., Pahwa, J. S., Moskvina, V., Dowzell, K., Williams, A., et al. (2009) · Nature Genetics · doi:10.1038/ng.440 · Cited by 3,326 · see citing works
Alzheimer Disease Genetics Consortium (ADGC), Kunkle, B. W., The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), Genetic and Environmental Risk in AD/Defining Genetic, P. A. E. R. F. A. D. C. (., Grenier-Boley, B., Sims, R., Bis, J. C., Damotte, V., Naj, A. C., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0358-2 · Cited by 2,946 · see citing works
MethPrimer: designing primers for methylation PCRs
Li, L.-C., & Dahiya, R. (2002) · Bioinformatics · doi:10.1093/bioinformatics/18.11.1427 · Cited by 2,741 · see citing works
Weber, M., Hellmann, I., Stadler, M. B., Ramos, L., Pääbo, S., Rebhan, M., & Schübeler, D. (2007) · Nature Genetics · doi:10.1038/ng1990 · Cited by 2,267 · see citing works
Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease
the European Alzheimer's Disease Initiative Investigators, Lambert, J.-C., Heath, S., Even, G., Campion, D., Sleegers, K., Hiltunen, M., Combarros, O., Zelenika, D., Bullido, M. J., et al. (2009) · Nature Genetics · doi:10.1038/ng.439 · Cited by 2,234 · see citing works
Irizarry, R. A., Ladd-Acosta, C., Wen, B., Wu, Z., Montano, C., Onyango, P., Cui, H., Gabo, K., Rongione, M., Webster, M., et al. (2009) · Nature Genetics · doi:10.1038/ng.298 · Cited by 2,177 · see citing works
Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database
Bertram, L., McQueen, M. B., Mullin, K., Blacker, D., & Tanzi, R. E. (2007) · Nature Genetics · doi:10.1038/ng1934 · Cited by 1,857 · see citing works
Saxonov, S., Berg, P., & Brutlag, D. L. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510310103 · Cited by 1,401 · see citing works
Doi, A., Park, I., Wen, B., Murakami, P. N., Aryee, M. J., Irizarry, R. A., Herb, B. R., Ladd‐Acosta, C., Rho, J., Loewer, S., et al. (2009) · Nature Genetics · doi:10.1038/ng.471 · Cited by 1,173 · see citing works
Young blood reverses age-related impairments in cognitive function and synaptic plasticity in mice
Villeda, S. A., Plambeck, K. E., Middeldorp, J., Castellano, J. M., Mosher, K. I., Luo, J., Smith, L. K., Bieri, G., Lin, K., Berdnik, D., et al. (2014) · Nature Medicine · doi:10.1038/nm.3569 · Cited by 1,081 · see citing works
Vascular and Neurogenic Rejuvenation of the Aging Mouse Brain by Young Systemic Factors
Katsimpardi, L., Litterman, N. K., Schein, P. A., Miller, C. M., Loffredo, F. S., Wojtkiewicz, G. R., Chen, J. W., Lee, R. T., Wagers, A. J., & Rubin, L. L. (2014) · Science · doi:10.1126/science.1251141 · Cited by 1,037 · see citing works
Liu, Y., Aryee, M. J., Padyukov, L., Fallin, M. D., Hesselberg, E., Rúnarsson, Á. R., Reinius, L. E., Acevedo, N., Taub, M. A., Ronninger, M., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2487 · Cited by 974 · see citing works
Alzheimer's disease: early alterations in brain DNA methylation at ANK1, BIN1, RHBDF2 and other loci
De Jager, P. L., Srivastava, G., Lunnon, K., Burgess, J., Schalkwyk, L. C., Yu, L., Eaton, M. L., Keenan, B. T., Ernst, J., McCabe, C., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3786 · Cited by 956 · see citing works
Pal, S., & Tyler, J. K. (2016) · Science Advances · doi:10.1126/sciadv.1600584 · Cited by 860 · see citing works
Consensus Report of the Working Group on: “Molecular and Biochemical Markers of Alzheimer’s Disease”
The Ronald and Nancy Reagan Research Institute of the Alzheimer’s Association and, & National Institute on Aging Working Group (1998) · Neurobiology of Aging · doi:10.1016/s0197-4580(98)00022-0 · Cited by 702 · see citing works
QUMA: quantification tool for methylation analysis
Kumaki, Y., Oda, M., & Okano, M. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn294 · Cited by 606 · see citing works
Systematic identification of genetic influences on methylation across the human life course
Gaunt, T. R., Shihab, H. A., Hemani, G., Min, J. L., Woodward, G., Lyttleton, O., Zheng, J., Duggirala, A., McArdle, W. L., Ho, K., et al. (2016) · Genome Biology · doi:10.1186/s13059-016-0926-z · Cited by 598 · see citing works
Methylomic profiling implicates cortical deregulation of ANK1 in Alzheimer's disease
Lunnon, K., Smith, R., Hannon, E., De Jager, P. L., Srivastava, G., Volta, M., Troakes, C., Al-Sarraj, S., Burrage, J., Macdonald, R., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3782 · Cited by 574 · see citing works
Hannon, E., Lunnon, K., Schalkwyk, L., & Mill, J. (2015) · Epigenetics · doi:10.1080/15592294.2015.1100786 · Cited by 455 · see citing works
Kerkel, K., SPADOLA, A. C., Yuan, E., Kosek, J., Jiang, L., Hod, E. A., Li, K., Murty, V. V. V. S., Schupf, N., Vilain, E. J. N., et al. (2008) · Nature Genetics · doi:10.1038/ng.174 · Cited by 437 · see citing works
Thambisetty, M., Simmons, A., Velayudhan, L., Hye, A., Campbell, J., Zhang, Y., Wahlund, L.-O., Westman, E., Kinsey, A., Güntert, A., et al. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.78 · Cited by 405 · see citing works
Guidance for DNA methylation studies: statistical insights from the Illumina EPIC array
Mansell, G., Gorrie-Stone, T. J., Bao, Y., Kumari, M., Schalkwyk, L. S., Mill, J., & Hannon, E. (2019) · BMC Genomics · doi:10.1186/s12864-019-5761-7 · Cited by 340 · see citing works
Single-cell chromatin modification profiling reveals increased epigenetic variations with aging
Cheung, P., Vallania, F., Warsinske, H. C., Donato, M., Schaffert, S., Chang, S. E., Dvorak, M., Dekker, C. L., Davis, M. M., Utz, P. J., et al. (2018) · Cell · doi:10.1016/j.cell.2018.03.079 · Cited by 323 · see citing works
Yu, L., Chibnik, L. B., Srivastava, G. P., Pochet, N., Yang, J., Xu, J., Kozubek, J., Obholzer, N., Leurgans, S. E., Schneider, J. A., et al. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2014.3049 · Cited by 290 · see citing works
Nucleotide sequence and structure of the human apolipoprotein E gene.
Paik, Y. K., Chang, D. J., Reardon, C. A., Davies, G. E., Mahley, R. W., & Taylor, J. M. (1985) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.82.10.3445 · Cited by 281 · see citing works
Epigenome-wide differences in pathology-free regions of multiple sclerosis–affected brains
Huynh, J. L., Garg, P., Thin, T. H., Yoo, S., Dutta, R., Trapp, B. D., Haroutunian, V. H., Zhu, J., Donovan, M. J., Sharp, A. J., et al. (2013) · Nature Neuroscience · doi:10.1038/nn.3588 · Cited by 273 · see citing works
BECon: a tool for interpreting DNA methylation findings from blood in the context of brain
Edgar, R. D., Jones, M. J., Meaney, M. J., Turecki, G., & Kobor, M. S. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.171 · Cited by 261 · see citing works
Tsai, P.-C., & Bell, J. T. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv041 · Cited by 220 · see citing works
Bird, A. P., Taggart, M. H., Nicholls, R. D., & Higgs, D. R. (1987) · The EMBO Journal · doi:10.1002/j.1460-2075.1987.tb04851.x · Cited by 201 · see citing works
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 · see citing works
Smith, R. G., Hannon, E., De Jager, P. L., Chibnik, L., Lott, S. J., Condliffe, D., Smith, A. R., Haroutunian, V., Troakes, C., Al‐Sarraj, S., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.01.017 · Cited by 184 · see citing works
Clinical Features of Alzheimer Disease With and Without Lewy Bodies
Chung, E. J., Babulal, G. M., Monsell, S. E., Cairns, N. J., Roe, C. M., & Morris, J. C. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2015.0606 · Cited by 126 · see citing works
Epigenomics of Alzheimer's disease
Bennett, D. A., Yu, L., Yang, J., Srivastava, G. P., Aubin, C., & Jager, P. L. D. (2014) · Translational research · doi:10.1016/j.trsl.2014.05.006 · Cited by 124 · see citing works
The epigenetic landscape of Alzheimer's disease
Lord, J., & Cruchaga, C. (2014) · Nature Neuroscience · doi:10.1038/nn.3792 · Cited by 122 · see citing works
Skvortsova, K., Masle‐Farquhar, E., Luu, P., Song, J. Z., Qu, W., Zotenko, E., Gould, C. M., Du, Q., Peters, T. J., Colino‐Sanguino, Y., et al. (2019) · Cancer Cell · doi:10.1016/j.ccell.2019.01.004 · Cited by 120 · see citing works
Shigemizu, D., Mori, T., Akiyama, S., Higaki, S., Watanabe, H., Sakurai, T., Niida, S., & Ozaki, K. (2020) · Alzheimer's Research & Therapy · doi:10.1186/s13195-020-00654-x · Cited by 103 · see citing works
Self-citationPM20D1 is a quantitative trait locus associated with Alzheimer’s disease
Sanchez-Mut, J. V., Heyn, H., Silva, B. A., Dixsaut, L., Garcia‐Esparcia, P., Vidal, E., Sayols, S., Glauser, L., Monteagudo, A., Pérez‐Tur, J., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0013-y · Cited by 102 · see citing works
Epigenetic influences on aging: a longitudinal genome-wide methylation study in old Swedish twins
Wang, Y., Karlsson, R., Lampa, E., Zhang, Q., Hedman, Å. K., Almgren, M., Almqvist, C., McRae, A. F., Marioni, R. E., Ingelsson, E., et al. (2018) · Epigenetics · doi:10.1080/15592294.2018.1526028 · Cited by 97 · see citing works
Ozaki, Y., Yoshino, Y., Yamazaki, K., Sao, T., Mori, Y., Ochi, S., Yoshida, T., Mori, T., Iga, J., & Ueno, S. (2017) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2017.04.003 · Cited by 85 · see citing works
Self-citationEpigenetics and DNA methylomic profiling in Alzheimer's disease and other neurodegenerative diseases
Roubroeks, J. A. Y., Smith, R. G., van den Hove, D., & Lunnon, K. (2017) · Journal of Neurochemistry · doi:10.1111/jnc.14148 · Cited by 81 · see citing works
Lunnon, K., & Mill, J. (2013) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32201 · Cited by 78 · see citing works
DNA Hypomethylation in Blood Links <i>B3GALT4</i> and <i>ZADH2</i> to Alzheimer’s Disease
Madrid, A., Hogan, K. J., Papale, L. A., Clark, L. R., Asthana, S., Johnson, S. C., & Alisch, R. S. (2018) · Journal of Alzheimer’s Disease · doi:10.3233/jad-180592 · Cited by 77 · see citing works
A cross-brain regions study of ANK1 DNA methylation in different neurodegenerative diseases
Smith, A. R., Smith, R. G., Burrage, J., Troakes, C., Al‐Sarraj, S., Kalaria, R. N., Sloan, C., Robinson, A., Mill, J. S., & Lunnon, K. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.09.024 · Cited by 74 · see citing works
Chouliaras, L., Pishva, E., Haapakoski, R., Zsoldos, E., Mahmood, A., Filippini, N., Burrage, J., Mill, J. S., Mika Kivimaki, B., Lunnon, K., et al. (2018) · Epigenomics · doi:10.2217/epi-2017-0132 · Cited by 70 · see citing works
Alzheimer's loci: epigenetic associations and interaction with genetic factors
Chibnik, L. B., Yu, L., Eaton, M. L., Srivastava, G., Schneider, J. A., Kellis, M., Bennett, D. A., & De Jager, P. L. (2015) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.201 · Cited by 60 · see citing works
Epigenome-Wide Association Study of Cognitive Functioning in Middle-Aged Monozygotic Twins
Starnawska, A., Tan, Q., McGue, M., Mors, O., Børglum, A. D., Christensen, K., Nyegaard, M., & Christiansen, L. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00413 · Cited by 54 · see citing works
Blood Clusterin Levels, rs9331888 Polymorphism, and the Risk of Alzheimer's Disease
Xing, Y.-Y., Yu, J., Cui, W., Zhong, X.-L., Wu, Z., Zhang, Q., & Tan, L. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-111844 · Cited by 53 · see citing works
Yu, L., Chibnik, L. B., Yang, J., Aubin, C., Xu, J., Schneider, J. A., Jager, P. L. D., & Bennett, D. A. (2016) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2016.02.009 · Cited by 51 · see citing works
Shimoda, N., Izawa, T., Yoshizawa, A., Yokoi, H., Kikuchi, Y., & Hashimoto, N. (2013) · AGE · doi:10.1007/s11357-013-9548-5 · Cited by 49 · see citing works
Self-citationHumphries, C., Kohli, M. A., Whitehead, P. L., Mash, D. C., Pericak‐Vance, M. A., & Gilbert, J. R. (2015) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2015.05.003 · Cited by 47 · see citing works
Gene Expression and Methylation Analysis of ABCA7 in Patients with Alzheimer’s Disease
Yamazaki, K., Yoshino, Y., Mori, T., Yoshida, T., Ozaki, Y., Sao, T., Mori, Y., Ochi, S., Iga, J., & Ueno, S. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-161195 · Cited by 36 · see citing works
Self-citationTOMM40 and APOE Gene Expression and Cognitive Decline in Japanese Alzheimer’s Disease Subjects
Mise, A., Yoshino, Y., Yamazaki, K., Ozaki, Y., Sao, T., Yoshida, T., Mori, T., Mori, Y., Ochi, S., Iga, J., et al. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170361 · Cited by 36 · see citing works
Self-citationApolipoprotein E DNA methylation and late-life disease
Karlsson, I., Ploner, A., Wang, Y., Gatz, M., Pedersen, N. L., & Hägg, S. (2018) · International Journal of Epidemiology · doi:10.1093/ije/dyy025 · Cited by 33 · see citing works
The current status of blood epigenetic biomarkers for dementia
Fransquet, P., & Ryan, J. L. (2019) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408363.2019.1639129 · Cited by 29 · see citing works
Lunnon, K., Smith, R. G., Cooper, I., Greenbaum, L., Mill, J. S., & Beeri, M. S. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.12.023 · Cited by 22 · see citing works
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Oxidative Stress and Beta Amyloid in Alzheimer’s Disease. Which Comes First: The Chicken or the Egg?
Tamagno, E., Guglielmotto, M., Vasciaveo, V., & Tabaton, M. (2021) · Antioxidants · doi:10.3390/antiox10091479 · Cited by 272 · see citing works
Epigenetic reprogramming as a key to reverse ageing and increase longevity
Pereira, B., Correia, F. P., Alves, I. A., Costa, M., Gameiro, M. D., Martins, A. P., & Saraiva, J. A. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102204 · Cited by 108 · see citing works
Kaur, G., Rathod, S. S. S., Ghoneim, M. M., Alshehri, S., Ahmad, J., Mishra, A., & Alhakamy, N. A. (2022) · Biology · doi:10.3390/biology11010090 · Cited by 79 · see citing works
Sergeeva, A., Davydova, K. S., Perenkov, A. D., & Vedunova, M. V. (2023) · Gene · doi:10.1016/j.gene.2023.147487 · Cited by 61 · see citing works
Cross-tissue analysis of blood and brain epigenome-wide association studies in Alzheimer’s disease
Silva, T. C., Young, J. I., Zhang, L., Gomez, L., Schmidt, M. A., Varma, A., Chen, X. S., Martin, E. R., & Wang, L. (2022) · Nature Communications · doi:10.1038/s41467-022-32475-x · Cited by 55 · see citing works
Prasanth, M. I., Sivamaruthi, B. S., Cheong, C. S. Y., Verma, K., Tencomnao, T., Brimson, J. M., & Prasansuklab, A. (2024) · Antioxidants · doi:10.3390/antiox13050606 · Cited by 57 · see citing works
Zhang, W., Young, J. I., Gomez, L., Schmidt, M. A., Lukacsovich, D., Varma, A., Chen, X. S., Martin, E. R., & Wang, L. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01216-7 · Cited by 38 · see citing works
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Sun, Y., Zhu, J., Yang, Y., Zhang, Z., Zhong, H., Zeng, G., Zhou, D., Nowakowski, R. S., Long, J., Wu, C., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02695-w · Cited by 25 · see citing works
Nuytemans, K., Vasquez, M. L., Wang, L., Booven, D. V., Griswold, A. J., Rajabli, F., Celis, K., Oron, O., Hofmann, N. K., Rolati, S., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12534 · Cited by 22 · see citing works
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Gil, L., Niño, S. A., Guerrero, C., & Jiménez-Capdeville, M. E. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms221910283 · Cited by 15 · see citing works
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Zhang, W., Young, J. I., Gomez, L., Schmidt, M. A., Lukacsovich, D., Kunkle, B. W., Chen, X. S., Martin, E. R., & Wang, L. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14496 · Cited by 14 · see citing works
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Peng, X., Zhang, W., Cui, W., Ding, B., Lyu, Q., & Wang, J. (2022) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2022.3178087 · Cited by 12 · see citing works
Lukacsovich, D., O'Shea, D. M., Huang, H.-C., Zhang, W., Young, J., Chen, X., Dietrich, S.-T., Kunkle, B. W., Martin, E., & Wang, L. (2023) · medRxiv · doi:10.1093/database/baae061 · Cited by 12 · see citing works
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Bahabry, R., Hauser, R. M., Sánchez, R. G., Jago, S. S., Ianov, L., Stuckey, R. J., Parrish, R. R., Hoef, L. V., & Lubin, F. D. (2024) · Neurobiology of Disease · doi:10.1016/j.nbd.2024.106638 · Cited by 8 · see citing works
Raia, T., Armeli, F., Cavallaro, R. A., Ferraguti, G., Businaro, R., Lucarelli, M., & Fuso, A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241411675 · Cited by 7 · see citing works
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Hanson, T., Spencer, S., Harker, S. A., Barry, F., Beauchemin, J., Braden, B. B., Burton, P., D’Sa, V. A., Koinis‐Mitchell, D., Mennenga, S. E., et al. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-05506-z · Cited by 5 · see citing works
Promsawan, K., Srichomthong, C., Pongpanich, M., & Shotelersuk, V. (2025) · PLoS ONE · doi:10.1371/journal.pone.0329593 · Cited by 3 · see citing works
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Eileen, L., & Peterson, M. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25137317 · Cited by 2 · see citing works
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Riso, G. D., Naef, V., Damiani, D., Doccini, S., Santorelli, F. M., & Galatolo, D. (2025) · The Cerebellum · doi:10.1007/s12311-025-01791-5 · Cited by 2 · see citing works
Braune, M., Metelmann, M., de Fallois, J., Pfrepper, C., Barrantes‐Freer, A., Hiller, G. G. R., Unger, S., Seelow, E., Halbritter, J., & Pelz, J. O. (2024) · Neurological Research and Practice · doi:10.1186/s42466-024-00327-2 · Cited by 1 · see citing works
Epigenetic Signatures of Aging: A Comprehensive Study of Biomarker Discovery
Lee, M. S., Kwon, H., Kim, Y., Min, N. Y., Lee, S. Y., & Lee, I. K. (2023) · Advances in Aging Research · doi:10.4236/aar.2023.122002 · Cited by 1 · see citing works
Nuytemans, K., Vasquez, M. L., Wang, L., Booven, D. V., Griswold, A. J., Rajabli, F., Celis, K., Oron, O., Hofmann, N. K., Rolati, S., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.23.457375 · Cited by 1 · see citing works
Bahabry, R., Hauser, R. M., Sánchez, R. G., Jago, S. S., Ianov, L., Stuckey, R. J., Parrish, R. R., Hoef, L. V., & Lubin, F. D. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.03.560698 · Cited by 1 · see citing works
Additional file 2 of Distinct sex-specific DNA methylation differences in Alzheimer’s disease
Silva, T. C., Zhang, W. Y., Young, J. I., Gomez, L., Schmidt, M. A., Varma, A., Chen, X. S., Martin, E. R., & Wang, L. (2022) · Figshare · doi:10.6084/m9.figshare.21129954
Aryana-bs: context-aware alignment of bisulfite-sequencing reads
Nikaein, H., Sharifi‐Zarchi, A., Afzal, A., Ezzati, S., Rasti, F., Chitsaz, H., & Kunde‐Ramamoorthy, G. (2025) · BMC Bioinformatics · doi:10.1186/s12859-025-06182-5
Additional file 1 of Distinct sex-specific DNA methylation differences in Alzheimer’s disease
C. Silva, T., Zhang, W., Young, J. I., Gomez, L., Schmidt, M. A., Varma, A., Chen, X. S., Martin, E. R., & Wang, L. (2022) · Figshare · doi:10.6084/m9.figshare.21129953
Shimoda, N. (2026) · Epigenomics · doi:10.1080/17501911.2026.2635932
Self-citation
- Authors
- Mitsumori, R., Sakaguchi, K., Shigemizu, D., Mori, T., Akiyama, S., Ozaki, K., Niida, S., & Shimoda, N.
- Affiliations
- Medical Genome Center, National Center for Geriatrics and Gerontology (JP)
- National Center for Geriatrics and Gerontology (JP)
- Corresponding author
- Shimoda, Nobuyoshi
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2020-09-29
- Volume
- 15
- Issue
- 9
- Pages
- e0239196
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC7523949
- OpenAlex
- W3091154116
- Cited by
- 34
- References
- 59
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 7 · 2023: 7 · 2022: 7 · 2021: 3
- FWCI
- 1.46
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- medRxiv (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institute for Geriatrics and Gerontology (26-16 and 29-20, 29-45)
- the Japanese Ministry of Health, Labor, and Welfare
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease, DNA methylation, CpG island shores, complement receptor 1, clusterin, PICALM, apolipoprotein E, blood biomarkers, Alzheimer's disease diagnosis, epigenetics, late-onset Alzheimer's disease, Japanese patients
- MeSH terms
- Aged, Alzheimer Disease, Female, Humans, Japan, Male, Middle Aged, Biomarkers, Receptors, Complement 3b, CpG Islands, DNA Methylation, Genetic Predisposition to Disease, Monomeric Clathrin Assembly Proteins, Clusterin, Genetic Association Studies
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