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Alzheimer's disease: early alterations in brain DNA methylation at ANK1, BIN1, RHBDF2 and other loci
Open accessAbstract
We used a collection of 708 prospectively collected autopsied brains to assess the methylation state of the brain's DNA in relation to Alzheimer's disease (AD). We found that the level of methylation at 71 of the 415,848 interrogated CpGs was significantly associated with the burden of AD pathology, including CpGs in the ABCA7 and BIN1 regions, which harbor known AD susceptibility variants. We validated 11 of the differentially methylated regions in an independent set of 117 subjects. Furthermore, we functionally validated these CpG associations and identified the nearby genes whose RNA expression was altered in AD: ANK1, CDH23, DIP2A, RHBDF2, RPL13, SERPINF1 and SERPINF2. Our analyses suggest that these DNA methylation changes may have a role in the onset of AD given that we observed them in presymptomatic subjects and that six of the validated genes connect to a known AD susceptibility gene network.
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“Alterations of DNA methylation levels have been shown to be involved in many diseases, including AD [19–24].”
From Distinct sex-specific DNA methylation differences in Alzheimer’s disease (2022) · cites this paper as [19]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“DNA methylation is an important epigenetic modification that regulates gene transcription and is known to be involved in AD”
From Sex-specific DNA methylation differences in Alzheimer’s disease pathology (2021) · cites this paper as [18]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Consistent with previous studies [18, 19, 86, 87], we observed the majority of these sex-specific differences were hyper-methylated in samples with AD neuropathology, for which methylation levels increased as the AD Braak stage increased”
From Sex-specific DNA methylation differences in Alzheimer’s disease pathology (2021) · cites this paper as [18]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“dysregulated DNAm has been observed as an early feature of AD neuropathology in the brain [19]”
From Distinct sex-specific DNA methylation differences in Alzheimer’s disease (2022) · cites this paper as [19]
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“Importantly, alterations of DNA methylation levels have also been implicated in multiple neurological disorders including AD [18–22]”
From Sex-specific DNA methylation differences in Alzheimer’s disease pathology (2021) · cites this paper as [18]
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“Notably, none of the 14 CpGs detected in our interaction analysis was identified in previous large-scale DNA methylation studies [18–22]”
From Sex-specific DNA methylation differences in Alzheimer’s disease pathology (2021) · cites this paper as [18]
In the citing paper
“These reference epigenomes, combined with other genomics data, have provided functional and causal insights about several human disease (De Jager et al., 2014; Farh et al., 2015; Yao, Tak, Berman, & Farnham, 2014).”
From Integrative Analysis of Multi-omics Data for Discovery and Functional Studies of Complex Human Diseases (2016) · cites this paper as De Jager et al., 2014
In the citing paper
“The most significant GWAS SNP was also a significant eQTL with the same direction of effect as in CMC for FURIN (rs4702: P = 1 × 10−6), CLCN3 (rs10520163: P = 9 × 10−6), and SNAP91 (rs3798869: P = 3 × 10−4); TSNARE1 (rs4129585: P = 0.057) and CNTN4 (rs17194490: P = 0.07) also had alleles in the same direction of effect as in CMC but did not reach significance.”
From Gene expression elucidates functional impact of polygenic risk for schizophrenia (2016) · cites this paper as [26]
In the citing paper
“and two independent genome-wide studies recently identified a differentially methylated region in the ANK1 gene as associated with the burden of AD pathology [198, 199].”
From Genetic architecture of Alzheimer's disease (2020) · cites this paper as [199]
In the citing paper
“A different study found altered methylation in the BIN1 locus at cg22883290 in relation to neuritic amyloid plaques and a pathologic diagnosis of AD, and this altered methylation pattern was independent of the effect of the rs744373 susceptibility variant [14].”
From BIN1 protein isoforms are differentially expressed in astrocytes, neurons, and microglia: neuronal and astrocyte BIN1 are implicated in tau pathology (2020) · cites this paper as [14]
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“We then performed a refinement step similar to that used in “ iSVA” 52 where for each independent component i ( 1 = i =k ) we created a sub-matrix of the beta values populated only by methylation probes that were significantly associated with component i .”
lumi : a pipeline for processing Illumina microarray
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“…in the BIN1 locus (beta=4.44, p=9.00×10 −8 ) and cg02308560 in the ABCA7 locus (beta=3.62, p=2.45×10 −12 ) 19-22 . cg22883290, is located 5 kb from the 5’ end of the BIN1 gene and 92 kb from the index SNP, rs744373, that best captures the genetic association to AD in this region ( Figure 2c ) 19 .”
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DNA Methylation in Alzheimer’s Disease
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BackgroundEarly microglial priming in Alzheimer’s disease revealed by ME-seqPreprint
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“To detect disease-related methylomic heterogeneity in various brain areas, massive epigenome-wide association studies (EWAS) were used with a robust sequential replica methodology.”
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“110,111 114 However, the mechanism(s) through which histone modi fi cations impact disease progression is not yet known and further research is needed.”
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“Lastly, RIN3 regulates the function of the PTK2B gene through the PICLAM pathway, thereby modulating immune-mediated responses and ultimately influencing AD risk (De Jager et al., 2014 ).”
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“Numerous genes are differentially methylated in the AD brain, such as ANK1, BIN1, ABCA7 , and HOXA , as well as amyloidogenic pathway genes APP and PSEN1 (De Jager et al. 2014; Fetahu et al. 2019; Gasparoni et al. 2018; Lunnon et al. 2014; Semick et al. 2019; Smith et al. 2018, 2019).”
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“Nature Neuroscience recently published two “epigenomewide association studies” (EWAS) assessing the role of differential DNA methylation in Alzheimer’s disease (AD).(1,2) The analyses were performed on post-mortem cortical brain tissues from several large cohorts comprising more than 1,000 individuals and represent by…”
BackgroundMethodInfluentialHistone and DNA Methylome in Neurodegenerative, Neuropsychiatric and Neurodevelopmental Disorders
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MethodSelf-citationscMD: cell type deconvolution using single-cell DNA methylation referencesPreprint
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“To this end, we performed a meta-analysis of two large cohorts of postmortem prefrontal cortex brain samples from subjects over 65 years old, generated by the Religious Orders Study and Rush Memory and Aging Project (together as ROSMAP [22]) and the Brains for Dementia Research (BDR) study [23].”
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“For the MSBB and Mayo databases, ethical protocols were established through the AMP-AD program under the guidance of the respective institutions.”
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“Notably, we found that MethylVI achieved greater agreement with bulk data using the MethSCAn features compared with when using gene body features in Fig.”
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Genetic and Epigenetic Architecture of Alzheimer’s Dementia
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Mechanisms underlying Alzheimer’s disease
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Rogue gene networks gone awry in Alzheimer's disease
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“Previous studies have identified AD-associated DNA methylation, as well as H3K9ac marks associated with Aβ or tau pathology (De Jager et al., 2014; Klein et al., 2019).”
The Human Epigenome—Implications for the Understanding of Human Disease
Esteller, M. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-802761-5.00008-0 · Cited by 2
Aging, Dementia, and Alzheimer Disease
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Epigenomic Measurements in Brain Tissues
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“1 were implicated in the regulation of Ank1, which is crucial to AD pathogenesis, and hypermethylated Ank1 gene domain was found in the entorhinal cortex of AD patients ( De Jager et al., 2014 ).”
BackgroundGrodstein, F., Lemos, B., Yang, J., Lopes, K. D. P., Vialle, R. A., Seyfried, N. T., Wang, Y., Shireby, G. L., Hannon, E. J., Thomas, A. J., et al. (2024) · Epigenetics · doi:10.1080/15592294.2024.2392050 · Cited by 2
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“…the corresponding citations were the prospective cohort study of DNA methylation changes in relation to neuropathology by De Jager et al. in 2014 (De Jager et al., 2014), the cohort study on miRNAs altered in AD by Lau et al. (2013), and the introduction of DNA methylation age by Horvath (2013),…”
BackgroundMethodInfluentialMicroRNAs signatures as potential molecular markers in mild cognitive impairment: a meta-analysis
Vargas-Rondón, N., González‐Giraldo, Y., Fonseca, Á. Y. G., González, J., & Aristizábal-Pachón, A. F. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1524622 · Cited by 2
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“…which is involved in APP post-translational processing [18]; DUSP22, which may regulate tau phosphorylation [19]; ANK1, which plays a role in neuronal membrane compartmentalization [20, 21]; and the HOXA gene cluster, which contributes to embryonic development and neuroprotective function [22, 23].”
Deng, J., Huang, K., Wang, J., Zhong, W., Xu, Y., & Kong, W. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.131121 · Cited by 2
Recent studies of the genetics of complex diseases associated with impaired cognitive functions
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Could ecosystem management provide a new framework for Alzheimer's disease?
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Roostaei, T., & Jager, P. L. D. (2018) · Multiple Sclerosis Journal · doi:10.1177/1352458517751651 · Cited by 2
Epigenetic Landscape in Leukemia and Its Impact on Antileukemia Therapeutics
He, B., Hlavka-Zhang, J., Lock, R. B., & Jing, D. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.84184 · Cited by 2
Deconstructing the epigenomic architecture of human neurodegeneration
Jager, P. L. D. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105331 · Cited by 2
“Here, we use data from the dorsolateral prefrontal cortex 2 to illustrate (1) the significance of the association of individual CpG dinucleotides sampled by the HumanMethylation450 array to tau burden and (2) the extent of correlation in methylation levels among neighboring CpGs.”
InfluentialSoltaninejad, H., Asadollahi, M. A., Hosseinkhani, S., Hosseini, M., & Ganjali, M. R. (2018) · Methods and Applications in Fluorescence · doi:10.1088/2050-6120/aae176 · Cited by 2
Lee, S., Lee, J. H., Lee, R. H., Shin, Y. P., Kim, I.-W., Seo, M., Kim, M.-A., Hwang, J. S., Shin, D., & Lee, H. (2020) · Gene · doi:10.1016/j.gene.2020.145188 · Cited by 2
Ying, Y., Li, X., & Chen, Y. (2022) · Journal of Clinical Laboratory Analysis · doi:10.1002/jcla.24634 · Cited by 2
Luningham, J. M., Chen, J., Tang, S., Jager, P. L. D., Bennett, D. A., Buchman, A. S., & Yang, J. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.05.979187 · Cited by 2
Self-citationLiu, S., Chen, Y., Wang, F., Jiang, Y. W., Duan, F., Xia, Y., Ning, Z., Li, M., Qiu, W., Ma, C., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.04.922880 · Cited by 2
Vito, R. D., Grabski, I. N., Aguiar, D., Schneper, L. M., Verma, A., Fernandez, J. C., Mitchell, C. M., Bell, J. T., McLanahan, S., Notterman, D. A., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.20.444959 · Cited by 2
“As a consequence, DNA methylation has been found to play an important role in the regulation of many diseases, including cancer [70, 37], neuropsychiatric and neurodegenerative diseases [31], diabetes [75], and cardiovascular disease [74].”
BackgroundEpigenetic signatures of regional tau pathology and cognition in the aging and pathological brainPreprint
Goldberg, D. C., Wadhwani, A. R., Dehghani, N., Sreepada, L. P., Fu, H., Jager, P. L. D., Bennett, D. A., Wolk, D. A., Lee, E. B., White, C. L., et al. (2024) · medRxiv · doi:10.1101/2024.11.07.24316933 · Cited by 2
Self-citationMulti-omic subtypes of Alzheimer’s dementia are differentially associated with psychological traitsPreprint
Zammit, A. R., Yu, L., Poole, V. N., Arfanakis, K., Schneider, J. A., Petyuk, V., Jager, P. L. D., Kaddurah-Daouk, R. F., Iturria‐Medina, Y., & Bennett, D. A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.21.639584 · Cited by 2
“51-53 We previously used the machine-learning mcTI algorithm to generate a brain molecular pseudotime of AD dementia relative to NCI, and three brain molecular subtypes reflecting different molecular pathways from NCI to AD dementia based on the numbers and types of omics.”
Self-citationDistinct cerebrospinal fluid DNA methylation signatures linked to Alzheimer’s diseasePreprint
Radoš, M., Klotz, S., Regelsberger, G., Stögmann, E., Landegger, L. D., & Fetahu, I. S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.03.647115 · Cited by 2
Biological Age and Age Acceleration Predict Alzheimer’s Disease Plasma Biomarker LevelsPreprint
Eissman, J. M., Ma, Y., Qiao, M., Reyes‐Dumeyer, D., Piriz, A. L., Lee, A., Lantigua, R., Medrano, M. Z., Mejía, D. R., Honig, L. S., et al. (2025) · medRxiv · doi:10.1101/2025.05.22.25328181 · Cited by 2
“Brain DNAm changes have associated with AD neuropathology 6,7 , including in preclinical AD 6 , and accelerated epigenetic age has correlated with progression to MCI and AD as well as with cognitive decline 8 .”
Self-citationMetaxakis, A., Gkikas, I., & Tavernarakis, N. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-823761-8.00027-6 · Cited by 1
Gerlando, R. D., Dragoni, F., Rizzo, B., Ferrari, R. R., Zardini, E., Ramusino, M. C., Perini, G., Costa, A. C., Poloni, T. E., Pansarasa, O., et al. (2024) · Aging and Disease · doi:10.14336/ad.2024.0350 · Cited by 1
“On this basis, different epigenome-wide associations studies (EWAS) have identified several genes and regions that appear to be differentially methylated in people affected by AD [19,20].”
Don't ignore the middle: Distinct mnemonic functions of intermediate hippocampus
Whitley, K. E., Briggs, S. B., Sharma, K., & Parent, M. B. (2024) · Hippocampus · doi:10.1002/hipo.23629 · Cited by 1
“…are found almost exclusively in iHC (Dong et al., 2009; Thompson et al., 2008), are neurotrophic genes implicated in depression, neurodegeneration, and gliomas (Bai et al., 2022; De Jager et al., 2014; Deng et al., 2022; Fan et al., 2024; Liao et al., 2023; Song et al., 2023; Zhao et al., 2023).”
Nutraceuticals as an Intervention for Healthy Brain Ageing
Sah, P., Tomtheelnganbee, E., Syiem, D., & Sharma, R. (2024) · Healthy ageing and longevity · doi:10.1007/978-3-031-68513-2_13 · Cited by 1
Vicente, C. T., Niranjan, T., Coopman, E., Faura, J., Alidadiani, S., Schrauwen, C., Matchett, B. J., Heeman, B., den Broeck, M. V., Coster, W. D., et al. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00869-2 · Cited by 1
Self-citationDuckhorn, J. C., Kim, D. K., & Huang, Y. A. (2025) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-25-00243 · Cited by 2
“BIN1 was found to be a top hit in several epigenome-wide association studies examining DNA methylation patterns in AD patient brain tissues, including those from preclinical stages (De Jager et al., 2014; Yu et al., 2015), suggesting epigenetic changes occur early in the disease process.”
Molecular pathways and biomarkers associated with age-related cognitive decline
Mitra, S., Pandey, S., Gill, A., Roy, A., Dutta, S., Kumar, A., Ali, M., & Chawla, G. (2025) · Academia Biology · doi:10.20935/acadbiol7909 · Cited by 2
Jian, L., Liu, Y., & Peng, W. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103099 · Cited by 1
Kinzhebay, A., Zhanymbetova, A., Yerkos, A., Zhetpisbay, Z., Imanbek, R., & Salybekov, A. A. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27104377 · Cited by 1
“Among these, hypermethylation of ANK1 has been most consistently observed across independent cohorts and appears early in disease progression [228].”
Bhasha, S., Chintada, V., Munikumar, D. M., Maddineni, J., Nagulavancha, R., Malempati, T., Gadda, S. S., Sankepally, K. K. R., & Pradeepkiran, J. A. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103186 · Cited by 1
Karp, J. F., Butters, M. A., Crivelli, L., Hermida, A. P., Gastiazoro, M. P., Gatchel, J. R., Gebara, M. A., Gentry, M. T., Mimura, M., Voshaar, R. C. O., et al. (2026) · International Psychogeriatrics · doi:10.1016/j.inpsyc.2026.100226 · Cited by 1
The emerging role of iRhom pseudoproteases in cytokine biology, inflammation and cancer
Chan, S., Dmello, R., & Saad, M. I. (2026) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2026.120201 · Cited by 1
Personalized single-cell transcriptomics reveals molecular diversity in Alzheimer’s disease
Chandrashekar, P. B., Alatkar, S. A., Kalafut, N. C., Jin, T., Gupta, C., Burczak, R. C., Xiang, H., Liu, S., Li, A. Z., Hong, A., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-72310-1 · Cited by 2
“CDH23 has altered RNA expression in AD 85 , and BCL6 overexpression mediates A β -induced neuronal damage and promotes SH-SY5Y cell survival 86 .”
Self-citationBhaskar, U., Kos, M. Z., & Carless, M. A. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71864 · Cited by 1
Identifying microRNAs related to Alzheimer's disease from differential methylation signatures
Roy, A., & Bhattacharyya, M. (2016) · Gene Reports · doi:10.1016/j.genrep.2016.04.006 · Cited by 1
Use of Chromatin Changes as Biomarkers
Hlady, R. A., & Robertson, K. D. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-802389-1.00022-8 · Cited by 1
Circadian Plasticity of Chromatin States
Belden, W. J. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-803395-1.00016-2 · Cited by 1
Weksberg, R., Butcher, D. T., Cytrynbaum, C. S., Siu, M. T., Choufani, S., & Tycko, B. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-812537-3.00005-6 · Cited by 1
The epigenetics of neurodegenerative diseases
Coppedè, F. (2023) · Elsevier eBooks · doi:10.1016/b978-0-443-18661-5.00001-4 · Cited by 1
DIMT1 and Ribosomal Function: How Ribosomal Biogenesis Influences Lifespan and Energy Homeostasis
Svanishvili, G. (2024) · Premier journal of science. · doi:10.70389/pjs.100027 · Cited by 1
Toward a Systematic Understanding of Epigenetic Contribution to Normal Aging and Alzheimer’s Disease
Zhang, Z., Cui, X., & Zhang, W. (2025) · RNA technologies · doi:10.1007/978-3-031-91072-2_16 · Cited by 1
The Role of Methylation in Neurodegenerative Diseases: Insights From a Bibliometric Study
Xu, J., Lu, J., Kuang, T., Wang, D., Dong, Z., Chen, M., Liu, C., Ge, G., Yuan, T., & Qin, Z. (2025) · Brain and Behavior · doi:10.1002/brb3.70732 · Cited by 1
Delineating blood DNA methylation biomarkers for Alzheimer's disease
Pishva, E., Bertram, L., & Lunnon, K. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70646
Self-citationAssociations of stable psychological traits with multi-omic subtypes of Alzheimer’s dementia
Zammit, A. R., Yu, L., Poole, V. N., Tasaki, S., Vialle, R. A., Arfanakis, K., Schneider, J. A., Petyuk, V., Jager, P. L. D., Kaddurah‐Daouk, R., et al. (2026) · Translational Psychiatry · doi:10.1038/s41398-026-04195-z · Cited by 2
“…molecular AD subtypes ROSMAP brain multi-omic data contain DNA methylation (DNAm) with Illumina 450 array, bulk next generation RNA sequencing, targeted protein expression with selected reaction monitoring, and metabolite level (metabolon) from DLPFC, generated as described previously [39 – 41].”
Self-citationHirano, S., & Imai-Okano, K. (2016) · Springer eBooks · doi:10.1007/978-4-431-56033-3_15 · Cited by 1
Day, J. J. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-801596-4.00006-x · Cited by 1
What is the epigenome and is it involved in multiple sclerosis?
Lee, J. Y., & Jager, P. L. D. (2018) · Multiple Sclerosis Journal · doi:10.1177/1352458517750769 · Cited by 1
Metadata
- Authors
- 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., Tang, A., Raj, T., Replogle, J., Brodeur, W., Gabriel, S., Chai, H. S., Younkin, C., Younkin, S. G., Zou, F., Szyf, M., Epstein, C. B., Schneider, J. A., Bernstein, B. E., Meissner, A., Ertekin-Taner, N., Chibnik, L. B., Kellis, M., Mill, J., & Bennett, D. A.
- Affiliations
- Broad Institute (US)
- King's College London (GB)
- Mayo Clinic (US)
- Rush University Medical Center (US)
- Brigham and Women's Hospital (US)
- Corresponding author
- Bennett, David A
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2014-08-17
- Volume
- 17
- Issue
- 9
- Pages
- 1156-1163
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC4292795
- OpenAlex
- W2074750860
- Cited by
- 956
- References
- 62
- Citations by year
- 2026: 49 · 2025: 77 · 2024: 74 · 2023: 69 · 2022: 82 · 2021: 94 · 2020: 93 · 2019: 94 · 2018: 93 · 2017: 71 · 2016: 84 · 2015: 59 · 2014: 17
- FWCI
- 31.73
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Open Access at Essex (University of Essex) (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- eScholarship (California Digital Library) (submittedVersion)
- Figshare (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Open Research Exeter (University of Exeter) (submittedVersion)
- Funders
- National Institute on Aging (R01AG017917, P30-AG 10161, K25AG041906, R01AG036039, R01‐AG17917, R01 AG15819, R01AG018023, R01AG036836, U01AG046152, R01-AG18023, AG036039, R01AG036042, R01AG015819, P30AG010161, RC2AG036547, R01AG032990, U01AG046139, RF1AG015819, RF1AG036042, P50AG016574)
- National Human Genome Research Institute (R01HG004037)
- National Institute of Neurological Disorders and Stroke (R01NS080820)
- National Institute of Environmental Health Sciences (U01ES017155)
- National Center for Research Resources (KL2RR024151)
- 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
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease, DNA methylation, ANK1, BIN1, RHBDF2, ABCA7, differentially methylated regions, gene expression, preclinical Alzheimer's disease, epigenome-wide association study
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Amyloidosis, Brain, Carrier Proteins, Female, Humans, Male, Middle Aged, Nuclear Proteins, Ankyrins, CpG Islands, DNA Methylation, Genetic Predisposition to Disease, Tumor Suppressor Proteins, Intracellular Signaling Peptides and Proteins, Adaptor Proteins, Signal Transducing, Genome-Wide Association Study, Protein Interaction Maps
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