The epigenome in Alzheimer’s disease: current state and approaches for a new path to gene discovery and understanding disease mechanism
Open accessAbstract
The advent of new technologies and analytic approaches is beginning to provide an unprecedented look at features of the human genome that affect RNA expression. These "epigenomic" features are found in a number of different forms: they include DNA methylation, covalent modifications of histone proteins and non-coding RNAs. Some of these features have now been implicated in Alzheimer's disease (AD). Here, we focus on recent studies that have identified robust observations relating to DNA methylation and chromatin in human brain tissue; these findings will ground the next generation of studies and provide a model for the design of such studies. Stemming from observations that compounds with histone deacetylase activity may be beneficial in AD, epigenome-wide studies in cortical samples from large numbers of human subjects have now shown that AD-associated epigenomic changes are reproducible, are not driven by genetic risk factors, and are widespread at specific locations in the genome. A fundamental question of whether such changes are causal remains to be demonstrated, but it is already clear that well-powered investigations of the human epigenome in the target organ of a neurodegenerative disease are feasible, are implicating new areas of the genome in the disease, and will be an important tool for future studies. We are now at an inflection point: as genome-wide association studies of genetic variants come to an end, a new generation of studies exploring the epigenome will provide an important new layer of information with which to enrich our understanding of AD pathogenesis and to possibly guide development of new therapeutic targets.
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The limited commonality between genetic and epigenetic loci in AD could be due to low power in EWAS and/or GWAS but could also reflect relatively independent roles of genetic variants and DNA methylation in influencing AD susceptibility.
“The limited commonality between genetic and epigenetic loci in AD could be due to the low power in EWAS and/or GWAS but could also reflect the relatively independent roles of genetic variants and DNA methylation in influencing AD susceptibility [65, 66].”
From Distinct sex-specific DNA methylation differences in Alzheimer’s disease (2022) · cites this paper as [65]
In “First generation of epigenomic studies in AD” (page unavailable), the review says validated AD epigenomic associations do not appear to be driven by genetic variation and describes genetic and methylation associations at BIN1 as independently influencing risk. It discusses sample size and statistical power, but does not identify low power in EWAS or GWAS as an explanation for limited overlap between loci. (LLM, conf=0.84)
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Cites
The Nuclear DNA Base 5-Hydroxymethylcytosine Is Present in Purkinje Neurons and the Brain
Kriaucionis, S., & Heintz, N. (2009) · Science · doi:10.1126/science.1169786 · Cited by 2,700 · see citing works
The Cellular Phase of Alzheimer’s Disease
De Strooper, B., & Karran, E. (2016) · Cell · doi:10.1016/j.cell.2015.12.056 · Cited by 1,990 · 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
Self-citationAbundant quantitative trait loci exist for DNA methylation and gene expression in human brain
Gibbs, J. R., van der Brug, M. P., Hernandez, D. G., Traynor, B. J., Nalls, M. A., Lai, S.-L., Arepalli, S., Dillman, A., Rafferty, I. P., Troncoso, J., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000952 · Cited by 769 · 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
Self-citationChromatin modifications as determinants of muscle stem cell quiescence and chronological aging
Liu, L., Cheung, T. H., Charville, G. W., Hurgo, B. M. C., Leavitt, T., Shih, J., Brunet, A., & Rando, T. A. (2013) · Cell Reports · doi:10.1016/j.celrep.2013.05.043 · Cited by 544 · see citing works
Tau promotes neurodegeneration through global chromatin relaxation
Frost, B., Hemberg, M., Lewis, J., & Feany, M. B. (2014) · Nature Neuroscience · doi:10.1038/nn.3639 · Cited by 519 · cited 1× · see citing works
“These results are consistent with an observation of widespread relaxation of heterochromatin in a Drosophila model of Tau pathology that was confirmed to be present in a small set of human AD brain samples [20].”
ResultBooth, L. N., & Brunet, A. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.05.013 · Cited by 499 · 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
Levine, M. E., Lu, A. T., Bennett, D. A., & Horvath, S. (2015) · Aging · doi:10.18632/aging.100864 · Cited by 455 · see citing works
Self-citationThe epigenetics of aging and neurodegeneration
Lardenoije, R., Iatrou, A., Kenis, G., Kompotis, K., Steinbusch, H. W. M., Mastroeni, D., Coleman, P., Lemere, C. A., Hof, P. R., van den Hove, D. L. A., et al. (2015) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2015.05.002 · Cited by 381 · see citing works
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 · see citing works
Selected Findings from the Religious Orders Study and Rush Memory and Aging Project
Bennett, D. A., Wilson, R. S., Arvanitakis, Z., Boyle, P. A., de Toledo-Morrell, L., & Schneider, J. A. (2012) · Journal of Alzheimer's Disease · doi:10.3233/jad-2012-129007 · Cited by 69 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 43
- [1]Adwan L Zawia NH 2013 Epigenetics: a novel therapeutic approach for the treatment of Alzheimer’s disease Pharmacol Ther 139 41 50 23562602 PMC3693222
- [2]Bannister AJ Kouzarides T 2011 Regulation of chromatin by histone modifications Cell Res 21 381 395 21321607 PMC3193420
- [3]Bennett DA Wilson RS Boyle PA Buchman AS Schneider JA 2012 Relation of neuropathology to cognition in persons without cognitive impairment Ann Neurol 72 599 609 23109154 PMC3490232
- [5]Bennett DA Yu L2 Yang J2 Srivastava GP3 Aubin C3 De Jager PL3 2015 Epigenomics of Alzheimer’s disease Transl Res 165 200 20 24905038 PMC4233194
- [6]Birney E Smith GD Greally JM 2016 Epigenome-wide association studies and the interpretation of disease -omics PLoS Genet 12 e1006105 27336614 PMC4919098
- [8]Buenrostro Giresi PG Zaba LC Chang HY Greenleaf WJ 2013 Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position Nat Methods 10 1212 1218 PMC3959825 24097267
- [9]Cantone I Fisher AG 2013 Epigenetic programming and reprogramming during development Nat Struct Mol Biol 20 282 289 23463313
- [10]Cheung I Shulha HP Jiang Y Matevossian A Wang J Weng Z Akbarian S 2010 Developmental regulation and individual differences of neuronal H3K4me3 epigenomes in the prefrontal cortex Proc Natl Acad Sci U S A 107 8824 8829 20421462 PMC2889328
- [11]Chibnik LB Yu L Eaton ML Srivastava G Schneider JA Kellis M Bennett DA De Jager PL 2015 Alzheimer’s loci: epigenetic associations and interaction with genetic factors Ann Clin Transl Neurol 2 636 647 26125039 PMC4479524
- [12]Cruickshanks HA McBryan T Nelson DM Vanderkraats ND Shah PP van Tuyn J Singh Rai T Brock C Donahue G Dunican DS Drotar ME Meehan RR Edwards JR Berger SL Adams PD 2013 Senescent cells harbour features of the cancer epigenome Nat Cell Biol 15 1495 1506 24270890 PMC4106249
- [13]Dedeurwaerder S Defrance M Calonne E Denis H Sotiriou C Fuks F 2011 Evaluation of the Infinium Methylation 450K technology Epigenomics 3 771 784 22126295
- [16]ENCODE Project Consortium 2012 An integrated encyclopedia of DNA elements in the human genome Nature 489 57 74 22955616 PMC3439153
- [17]Ernst J Kellis M 2012 ChromHMM: automating chromatin-state discovery and characterization Nat Methods 9 215 216 22373907 PMC3577932
- [18]Farh KK Marson A Zhu J Kleinewietfeld M Housley WJ Beik S Shoresh N Whitton H Ryan RJ Shishkin AA Hatan M Carrasco-Alfonso MJ Mayer D Luckey CJ Patsopoulos NA De Jager PL Kuchroo VK Epstein CB Daly MJ Hafler DA Bernstein BE 2015 Genetic and epigenetic fine mapping of causal autoimmune disease variants Nature 518 337 343 25363779 PMC4336207
- [19]Foscher A 2014 Targeting histone-modifications in Alzheimer’s disease What is the evidence that this is a promising therapeutic avenue? Neuropharmacology 80 95 102 24486385
- [22]Gjoneska E Pfenning AR Mathys H Quon G Kundaje A Tsai LH Kellis M 2015 Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer’s disease Nature 518 365 9 25693568 PMC4530583
- [23]Guintivano J Aryee MJ Kaminsky ZA 2013 A cell epigenotype specific model for the correction of brain cellular heterogeneity bias and its application to age, brain region and major depression Epigenetics 8 290 302 23426267 PMC3669121
- [24]Guzman-Karlsson MC Meadows JP Gavin CF Hablitz JJ Sweatt JD 2014 Transcriptional and epigenetic regulation of Hebbian and non-Hebbian plasticity Neuropharmacology 80 3 17 24418102 PMC3984596
- [26]Hannum G Guinney J Zhao L Zhang L Hughes G Sadda S Klotzle B Bibikova M Fan JB Gao Y Deconde R Chen M Rajapakse I Friend S Ideker T Zhang K 2013 Genome-wide methylation profiles reveal quantitative views of human aging rates Mol Cell 49 359 367 23177740 PMC3780611
- [27]Hilton IB D’Ippolito AM Vockley CM Thakore PI Crawford GE Reddy TE Gersbach CA 2015 Epigenome editing by a CRISPR-Cas9-based acetyltransferase activates genes from promoters and enhancers Nat Biotechnol 33 510 517 25849900 PMC4430400
- [28]Horvath S 2013 DNA methylation age of human tissues and cell types Genome Biol 14 R115 24138928 PMC4015143
- [29]Horvath S 2015 The cerebellum ages slowly according to the epigenetic clock Aging 7 294 306 26000617 PMC4468311
- [30]Jones PA 2012 Functions of DNA methylation: islands, start sites, gene bodies and beyond Nat Rev Genet 13 484 492 22641018
- [31]Klein HU De Jager PL 2016 Uncovering the role of the methylome in dementia and neurodegeneration Trends Mol Med ePub ahead of print 27423266
- [33]Lambert JC 2013 Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease Nat Genet 45 1452 1458 24162737 PMC3896259
- [34]Lawrence M Daujat S Schneider R 2016 Lateral thinking: How histone modifications regulate gene expression Trends Genet 32 42 56 26704082
- [36]Lau P Bossers K Janky R Salta E Frigerio CS Barbash S Rothman R Sierksma AS Thathiah A Greenberg D Papadopoulou AS Achsel T Ayoubi T Soreq H Verhaagen J Swaab DF Aerts S De Strooper B 2013 Alteration of the microRNA network during the progression of Alzheimer’s disease EMBO Mol Med 5 1613 1634 24014289 PMC3799583
- [37]Lister R Mukamel EA Nery JR Urich M Puddifoot CA Johnson ND Lucero J Huang Y Dwork AJ Schultz MD Yu M Tonti-Filippini J Heyn H Hu S Wu JC Rao A Esteller M He C Haghighi FG Sejnowski TJ Behrens MM Ecker JR 2013 Global epigenomic reconfiguration during mammalian brain development Science 341 1237905 23828890 PMC3785061
- [38]Liu Y Aryee MJ Padyukov L Fallin MD Hesselberg E Runarsson A Reinius L Acevedo N Taub M Ronninger M Shchetynsky K Scheynius A Kere J Alfredsson L Klareskog L Ekström TJ Feinberg AP 2013 Epigenome-wide association data implicate DNA methylation as an intermediary of genetic risk in rheumatoid arthritis Nat Biotechnol 31 2 142 147 23334450 PMC3598632
- [40]Lorio MV Piovan C Croce CM 2010 Interplay between microRNAs and the epigenetic machinery: an intricate network Biochim Biophys Acta 1799 694 701 20493980
- [43]Pu M Ni Z Wang M Wang X Wood JG Helfand SL Yu H Lee SS 2015 Trimethylation of Lys36 on H3 restricts gene expression change during aging and impacts life span Genes Dev 29 718 731 25838541 PMC4387714
- [44]Roadmap Epigenomics Consortium et al 2015 Integrative analysis of 111 reference human epigenomes Nature 518 317 330 25693563 PMC4530010
- [45]Satterlee JS Beckel-Mitchener A McAllister K Procaccini DC Rutter JL Tyson FL Chadwick LH 2015 Community resources and technologies developed through the NIH Roadmap Epigenomics Program Methods Mol Biol 1238 27 49 25421653
- [46]Salta E Sierksma A1 Vanden Eynden E1 De Strooper B2 2016 miR-132 loss de-represses ITPKB and aggravates amyloid and Tau pathology in Alzheimer’s brain EMBO Molec Med e201606520 PMC5009807 27485122
- [47]Scaffidi P Misteli T 2006 Lamin A-dependent nuclear defects in human aging Science 312 1059 1063 16645051 PMC1855250
- [48]Southworth LK Owen AB Kim SK 2009 Aging mice show a decreasing correlation of gene expression within genetic modules PLoS Genet 5 e1000776 20019809 PMC2788246
- [49]Sullivan S Young-Pearse TL 2015 Induced pluripotent stem cells as a discovery tool for Alzheimer’s disease Brain Res (online) PMC4833689 26459988
- [50]Watson CT Roussos P1,2,3 Garg P1 Ho DJ1 Azam N1 Katsel PL2,4 Haroutunian V2,3,4 Sharp AJ5 2016 Genome-wide DNA methylation profiling in the superior temporal gyrus reveals epigenetic signatures associated with Alzheimer’s disease Genome Med 8 5 26803900 PMC4719699
- [51]Yang J Yu L2 Gaiteri C2 Srivastava GP3 Chibnik LB3 Leurgans SE2 Schneider JA4 Meissner A5 De Jager PL3 Bennett DA2 2015 Association of DNA methylation in the brain with age in older persons is confounded by common neuropathologies Int J Biochem Cell Biol 67 58 64 26003740 PMC4564337
- [52]You JS Jones PA 2012 Cancer genetics and epigenetics: two sides of the same coin? Cancer Cell 22 9 20 22789535 PMC3396881
- [53]Yu L Chibnik LB Yang J McCabe C Xu J Schneider JA De Jager PL Bennett DA 2016 Methylation profiles in peripheral blood CD4+ lymphocytes versus brain: The relation to Alzheimer’s disease pathology Alzheimers Dement (online) PMC5014706 27016692
- [54]Zhang W Li J Suzuki K Qu J Wang P Zhou J Liu X Ren R Xu X Ocampo A Yuan T Yang J Li Y Shi L Guan D Pan H Duan S Ding Z Li M Yi F Bai R Wang Y Chen C Yang F Li X Wang Z Aizawa E Goebl A Soligalla RD Reddy P Esteban CR Tang F Liu GH Belmonte JC 2015 Aging stem cells. A Werner syndrome stem cell model unveils heterochromatin alterations as a driver of human aging Science 348 1160 1163 25931448 PMC4494668
- [55]Zhou VW 2011 Charting histone modifications and the functional organization of mammalian genomes Nat Rev Genet 12 1 7 18 21116306
Cited by
Sorted by citations
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) · Alzheimer's Research & Therapy · doi:10.1186/s13195-022-01070-z · Cited by 33 · see citing works
“The limited commonality between genetic and epigenetic loci in AD could be due to the low power in EWAS and/or GWAS but could also reflect the relatively independent roles of genetic variants and DNA methylation in influencing AD susceptibility [65, 66].”
Background
- Authors
- Klein, H.-U., Bennett, D. A., & De Jager, P. L.
- Affiliations
- Broad Institute (US)
- Rush University Medical Center (US)
- Venue
- Acta Neuropathologica
- Published
- 2016-08-29
- Volume
- 132
- Issue
- 4
- Pages
- 503-514
- ISSN
- 0001-6322 (ISSN-L)
- 1432-0533
- PMC
- PMC5189639
- OpenAlex
- W2507676175
- Cited by
- 49
- References
- 13
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 2 · 2023: 4 · 2022: 5 · 2021: 8 · 2020: 4 · 2019: 5 · 2018: 9 · 2017: 5 · 2016: 2
- FWCI
- 0.63
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Acta Neuropathologica (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (R01 AG036042, R01 AG036836, R01 AG17917, R01 AG15819, R01 AG032990, R01 AG18023, RC2 AG036547, P30 AG10161, P50 AG016574)
- National Institute of Environmental Health Sciences (U01 ES017155)
- National Center for Research Resources (KL2 RR024151)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, epigenome, DNA methylation, histone modifications, chromatin, histone deacetylase inhibitors, non-coding RNA, human brain tissue, cortical tissue, epigenome-wide association study, gene discovery, pathogenesis, therapeutic target
- MeSH terms
- Alzheimer Disease, Animals, Brain, Humans, Protein Processing, Post-Translational, Genetic Predisposition to Disease, Epigenesis, Genetic, Genome-Wide Association Study
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