Conserved brain myelination networks are altered in Alzheimer’s and other neurodegenerative diseases
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Introduction: Comparative transcriptome analyses in Alzheimer's disease (AD) and other neurodegenerative proteinopathies can uncover both shared and distinct disease pathways. Methods: We analyzed 940 brain transcriptomes including patients with AD, progressive supranuclear palsy (PSP; a primary tauopathy), and control subjects. Results: We identified transcriptional coexpression networks implicated in myelination, which were lower in PSP temporal cortex (TCX) compared with AD. Some of these associations were retained even after adjustments for brain cell population changes. These TCX myelination network structures were preserved in cerebellum but they were not differentially expressed in cerebellum between AD and PSP. Myelination networks were downregulated in both AD and PSP, when compared with control TCX samples. Discussion: Downregulation of myelination networks may underlie both PSP and AD pathophysiology, but may be more pronounced in PSP. These data also highlight conservation of transcriptional networks across brain regions and the influence of cell type changes on these networks.
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RNA sequencing of human postmortem brain tissue reinforces the importance of microglial and inflammatory mechanisms in AD pathogenesis, among other pathways.
“Results from RNA sequencing (RNA-seq) of human postmortem brain tissue further reinforce the importance of microglial and inflammatory mechanisms in AD pathogenesis, among other pathways (Allen et al., 2018; Conway et al., 2018; McKenzie et al., 2017; Patrick et al., 2017; Wang et al., 2016, 2019; Zhang et al., 2013).”
From Meta-Analysis of the Alzheimer’s Disease Human Brain Transcriptome and Functional Dissection in Mouse Models (2020) · cites this paper as Allen et al., 2018
Methods §2.1 confirms that the study used RNA-seq on human postmortem brain tissue, and the Discussion reports modules enriched in microglial transcripts. But the paper’s principal RNA-seq finding concerns myelination networks; it does not establish that those results reinforce inflammatory mechanisms in AD pathogenesis. (LLM, conf=0.84)
Experimental — accuracy not yet measuredGene sets from prior AD-associated oligodendrocyte-enriched coexpression modules significantly overlapped with consensus cluster D.
“independent analyses of RNA-seq from the Mayo and MSSM cohorts previously identified AD-associated coexpression modules enriched for oligodendrocyte expression signatures (Allen et al., 2018; McKenzie et al., 2017), and these gene sets significantly overlapped with consensus cluster D (Figure 1C).”
From Meta-Analysis of the Alzheimer’s Disease Human Brain Transcriptome and Functional Dissection in Mouse Models (2020) · cites this paper as Allen et al., 2018
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McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915 · see citing works
WGCNA: an R package for weighted correlation network analysis
Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252 · see citing works
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · see citing works
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692 · see citing works
The amyloid hypothesis of Alzheimer's disease at 25 years
Selkoe, D. J., & Hardy, J. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201606210 · Cited by 6,164 · see citing works
Jack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396 · see citing works
Self-citationZhang, Y., Sloan, S. A., Clarke, L. E., Caneda, C., Plaza, C. A., Blumenthal, P. D., Vogel, H., Steinberg, G. K., Edwards, M. S. B., Li, G., et al. (2016) · Neuron · doi:10.1016/j.neuron.2015.11.013 · Cited by 2,295 · see citing works
Tau in physiology and pathology
Wang, Y., & Mandelkow, E. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2015.1 · Cited by 2,251 · see citing works
Immune attack: the role of inflammation in Alzheimer disease
Heppner, F. L., Ransohoff, R. M., & Becher, B. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3880 · Cited by 2,134 · see citing works
Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease
Zhang, B., Gaiteri, C., Bodea, L.-G., Wang, Z., McElwee, J., Podtelezhnikov, A. A., Zhang, C., Xie, T., Tran, L., Dobrin, R., et al. (2013) · Cell · doi:10.1016/j.cell.2013.03.030 · Cited by 1,657 · see citing works
Blalock, E. M., Geddes, J. W., Chen, K. C., Porter, N. M., Markesbery, W. R., & Landfield, P. W. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308512100 · Cited by 1,025 · see citing works
Goedert, M. (2015) · Science · doi:10.1126/science.1255555 · Cited by 977 · 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-citationHauw, J., Daniel, S. E., Dickson, D. W., Horoupian, D. S., Jellinger, K. A., Lantos, P. L., McKee, A. C., Tabaton, M., & Litvan, I. (1994) · Neurology · doi:10.1212/wnl.44.11.2015 · Cited by 854 · see citing works
Self-citationFunctional organization of the transcriptome in human brain
Oldham, M. C., Konopka, G., Iwamoto, K., Langfelder, P., Kato, T., Horvath, S., & Geschwind, D. H. (2008) · Nature Neuroscience · doi:10.1038/nn.2207 · Cited by 752 · cited 1× · see citing works
“This finding is consistent with the prior observations in healthy control brains [41] and suggests that the broad”
Self-citationRemoving technical variability in RNA-seq data using conditional quantile normalization
Hansen, K. D., Irizarry, R. A., & WU, Z. (2012) · Biostatistics · doi:10.1093/biostatistics/kxr054 · Cited by 607 · see citing works
Identification of common variants influencing risk of the tauopathy progressive supranuclear palsy
PSP Genetics Study Group, Höglinger, G. U., Melhem, N. M., Dickson, D. W., Sleiman, P. M. A., Wang, L.-S., Klei, L., Rademakers, R., de Silva, R., Litvan, I., et al. (2011) · Nature Genetics · doi:10.1038/ng.859 · Cited by 603 · see citing works
Self-citationDivergence of human and mouse brain transcriptome highlights Alzheimer disease pathways
Miller, J. A., Horvath, S., & Geschwind, D. H. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0914257107 · Cited by 480 · see citing works
Self-citationSeyfried, N. T., Dammer, E. B., Swarup, V., Nandakumar, D., Duong, D. M., Yin, L., Deng, Q., Nguyen, T., Hales, C. M., Wingo, T., et al. (2017) · Cell Systems · doi:10.1016/j.cels.2016.11.006 · Cited by 477 · see citing works
Self-citationAllen, M., Carrasquillo, M. M., Funk, C., Heavner, B. D., Zou, F., Younkin, C. S., Burgess, J. D., Chai, H.-S., Crook, J., Eddy, J. A., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.89 · Cited by 439 · see citing works
Self-citationNeuropathology of variants of progressive supranuclear palsy
Dickson, D. W., Ahmed, Z., Algom, A. A., Tsuboi, Y., & Josephs, K. A. (2010) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32833be924 · Cited by 386 · see citing works
Self-citationA Systems Level Analysis of Transcriptional Changes in Alzheimer's Disease and Normal Aging
Miller, J. A., Oldham, M. C., & Geschwind, D. H. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4098-07.2008 · Cited by 385 · see citing works
Self-citationDistinct brain transcriptome profiles in C9orf72-associated and sporadic ALS
Prudencio, M., Belzil, V., Batra, R., Ross, C. A., Gendron, T. F., Pregent, L., Murray, M. E., Overstreet, K., Johnston, A., Desaro, P., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4065 · Cited by 381 · see citing works
Self-citationUntangling the brain’s neuroinflammatory and neurodegenerative transcriptional responses
Srinivasan, K., Friedman, B. A., Larson, J. L., Lauffer, B. E., Goldstein, L. D., Appling, L. L., Borneo, J., Poon, C., Ho, T., Cai, F., et al. (2016) · Nature Communications · doi:10.1038/ncomms11295 · Cited by 336 · see citing works
Genetic variation in PCDH11X is associated with susceptibility to late-onset Alzheimer’s disease
Carrasquillo, M. M., Zou, F., Pankratz, V. S., Wilcox, S. L., Ma, L., Walker, L. P., Younkin, S. G., Younkin, C. S., Younkin, L. H., Bisceglio, G. D., et al. (2009) · Nature Genetics · doi:10.1038/ng.305 · Cited by 296 · see citing works
Self-citationCuyvers, E., & Sleegers, K. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(16)00127-7 · Cited by 284 · see citing works
Pathway Mapping Tools for Analysis of High Content Data
Ekins, S., Nikolsky, Y., Bugrim, A. E., Kirillov, E., & Nikolskaya, T. (2006) · Humana Press eBooks · doi:10.1385/1-59745-217-3:319 · Cited by 263 · see citing works
Association of Amyloid Pathology With Myelin Alteration in Preclinical Alzheimer Disease
Dean, D. C., Hurley, S. A., Kecskemeti, S. R., O’Grady, J. P., Canda, C., Davenport-Sis, N. J., Carlsson, C. M., Zetterberg, H., Blennow, K., Asthana, S., et al. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2016.3232 · Cited by 252 · see citing works
Analysis of alternative splicing associated with aging and neurodegeneration in the human brain
Tollervey, J. R., Wang, Z., Hortobágyi, T., Witten, J. T., Zarnack, K., Kayikci, M., Clark, T. A., Schweitzer, A. C., Rot, G., Curk, T., et al. (2011) · Genome Research · doi:10.1101/gr.122226.111 · Cited by 252 · see citing works
Myelination, oligodendrocytes, and serious mental illness
Haroutunian, V. H., Katsel, P., Roussos, P., Davis, K. L., Altshuler, L. L., & Bartzokis, G. (2014) · Glia · doi:10.1002/glia.22716 · Cited by 247 · see citing works
Ihara, M., Polvikoski, T. M., Hall, R., Slade, J. Y., Perry, R. H., Oakley, A. E., Englund, E. M., O'Brien, J. T., Ince, P. G., & Kalaria, R. N. (2010) · Acta Neuropathologica · doi:10.1007/s00401-009-0635-8 · Cited by 242 · see citing works
Kouri, N., Ross, O. A., Dombroski, B., Younkin, C. S., Serie, D. J., Soto-Ortolaza, A., Baker, M., Finch, N. C. A., Yoon, H., Kim, J., et al. (2015) · Nature Communications · doi:10.1038/ncomms8247 · Cited by 219 · cited 1× · see citing works
“Indeed, variants in/near MOBP are implicated in risk of PSP [34] and CBD [40], another 4R-tauopathy.”
Self-citationGene expression profiling in human neurodegenerative disease
Cooper‐Knock, J., Kirby, J., Ferraiuolo, L., Heath, P. R., Rattray, M., & Shaw, P. J. (2012) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.156 · Cited by 218 · see citing works
Brain Expression Genome-Wide Association Study (eGWAS) Identifies Human Disease-Associated Variants
Zou, F., Chai, H. S., Younkin, C. S., Allen, M., Crook, J. E., Pankratz, V. S., Carrasquillo, M. M., Rowley, C. N., Nair, A., Middha, S., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002707 · Cited by 216 · see citing works
Self-citationFocal demyelination in Alzheimer’s disease and transgenic mouse models
Mitew, S., Kirkcaldie, M. T. K., Halliday, G. M., Shepherd, C. E., Vickers, J. C., & Dickson, T. C. (2010) · Acta Neuropathologica · doi:10.1007/s00401-010-0657-2 · Cited by 186 · see citing works
Gold, B. T., Johnson, N. F., Powell, D. K., & Smith, C. D. (2012) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.07.009 · Cited by 170 · cited 1× · see citing works
“Neuroimaging studies in living patients support WM [43,44] and specifically myelin alterations [45] in preclinical AD.”
Statistical Significance for Genome-Wide Experiments
Storey, J. D., & Tibshirani, R. J. (2003) · Cited by 169 · see citing works
Early Alzheimer's Disease Neuropathology Detected by Proton MR Spectroscopy
Murray, M. E., Przybelski, S. A., Lesnick, T. G., Liesinger, A. M., Spychalla, A. J., Zhang, B., Gunter, J. L., Parisi, J. E., Boeve, B. F., Knopman, D. S., et al. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2027-14.2014 · Cited by 148 · see citing works
Self-citationMicroglial Malfunction: The Third Rail in the Development of Alzheimer's Disease
Mhatre, S. D., Tsai, C. A., Rubin, A. J., James, M. L., & Andreasson, K. I. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.08.006 · Cited by 134 · see citing works
Selective changes in white matter integrity in MCI and older adults with cognitive complaints
Wang, Y., West, J. D., Flashman, L. A., Wishart, H. A., Santulli, R. B., Rabin, L. A., Pare, N., Arfanakis, K., & Saykin, A. J. (2012) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.08.002 · Cited by 110 · see citing works
Murray, M. E., Vemuri, P., Preboske, G. M., Murphy, M. C., Schweitzer, K. J., Parisi, J. E., Jack, C. R., & Dickson, D. W. (2012) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e318277387e · Cited by 100 · see citing works
Self-citationAllen, M., Burgess, J. D., Ballard, T., Serie, D., Wang, X., Younkin, C. S., Sun, Z., Kouri, N., Baheti, S., Wang, C., et al. (2016) · Acta Neuropathologica · doi:10.1007/s00401-016-1576-7 · Cited by 78 · see citing works
Self-citationHumphries, C., Kohli, M. A., Nathanson, L., Whitehead, P. L., Beecham, G. W., Martin, E. R., Mash, D. C., Pericak‐Vance, M. A., & Gilbert, J. R. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-141989 · Cited by 76 · see citing works
Genome-wide association interaction analysis for Alzheimer's disease
Gusareva, E. S., Carrasquillo, M. M., Bellenguez, C., Cuyvers, E., Colon, S., Graff‐Radford, N. R., Petersen, R. C., Dickson, D. W., John, J. M., Bessonov, K., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.05.014 · Cited by 63 · see citing works
Self-citationRichter‐Landsberg, C. (2015) · Biological Chemistry · doi:10.1515/hsz-2015-0157 · Cited by 27 · see citing works
Alternative Approaches in Gene Discovery and Characterization in Alzheimer’s Disease
Ertekin‐Taner, N., Jager, P. L. D., Yu, L., & Bennett, D. A. (2013) · Current Genetic Medicine Reports · doi:10.1007/s40142-013-0007-5 · Cited by 15 · see citing works
Self-citationWatzlawik, J. O., Kahoud, R. J., Wootla, B., Painter, M. M., Warrington, A. E., Carey, W. A., & Rodriguez, M. (2016) · Journal of Visualized Experiments · doi:10.3791/54139 · Cited by 2 · see citing works
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Johnson, E. C. B., Dammer, E. B., Duong, D. M., Ping, L., Zhou, M., Yin, L., Higginbotham, L. A., Guajardo, A., White, B., Troncoso, J. C., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0815-6 · Cited by 1,001 · see citing works
Self-citationSingle-nucleus chromatin accessibility and transcriptomic characterization of Alzheimer’s disease
Morabito, S., Miyoshi, E., Michael, N., Shahin, S., Martini, A. C., Head, E., Silva, J., Leavy, K., Perez-Rosendahl, M., & Swarup, V. (2021) · Nature Genetics · doi:10.1038/s41588-021-00894-z · Cited by 643 · see citing works
Self-citationJohnson, E. C. B., Carter, E. K., Dammer, E. B., Duong, D. M., Gerasimov, E. S., Liu, Y., Liu, J., Betarbet, R., Ping, L., Yin, L., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-021-00999-y · Cited by 561 · see citing works
Self-citationSieberts, S. K., Perumal, T. M., Carrasquillo, M. M., Allen, M., Reddy, J. S., Hoffman, G. E., Dang, K. K., Calley, J., Ebert, P. J., Eddy, J., et al. (2020) · Scientific Data · doi:10.1038/s41597-020-00642-8 · Cited by 318 · see citing works
Self-citationMachine learning identifies candidates for drug repurposing in Alzheimer’s disease
Rodriguez, S., Hug, C., Todorov, P., Moret, N., Boswell, S. A., Evans, K., Zhou, G., Johnson, N. T., Hyman, B. T., Sorger, P. K., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21330-0 · Cited by 299 · see citing works
Wan, Y.-W., Al-Ouran, R., Mangleburg, C. G., Perumal, T. M., Lee, T. V., Allison, K., Swarup, V., Funk, C. C., Gaiteri, C., Allen, M., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107908 · Cited by 295 · see citing works
“For example, independent analyses of RNA-seq from the Mayo and MSSM cohorts previously identified AD-associated coexpression modules enriched for oligodendrocyte expression signatures (Allen et al., 2018; McKenzie et al., 2017), and these gene sets significantly overlapped with consensus cluster D (Figure 1C).”
BackgroundMethodInfluentialSelf-citationJohnson, E. C. B., Dammer, E. B., Duong, D. M., Yin, L., Thambisetty, M., Troncoso, J. C., Lah, J. J., Levey, A. I., & Seyfried, N. T. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0282-4 · Cited by 225 · see citing works
Self-citationAlzheimer’s Risk Factors Age, APOE Genotype, and Sex Drive Distinct Molecular Pathways
Zhao, N., Ren, Y., Yamazaki, Y., Qiao, W., Li, F., Felton, L. M., Mahmoudiandehkordi, S., Kueider-Paisley, A., Sonoustoun, B., Arnold, M., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.02.034 · Cited by 225 · see citing works
Self-citationMetabolic Network Analysis Reveals Altered Bile Acid Synthesis and Metabolism in Alzheimer’s Disease
Baloni, P., Funk, C. C., Yan, J., Yurkovich, J. T., Kueider-Paisley, A., Nho, K., Heinken, A., Jia, W., Mahmoudiandehkordi, S., Louie, G., et al. (2020) · Cell Reports Medicine · doi:10.1016/j.xcrm.2020.100138 · Cited by 211 · see citing works
Self-citationUpdates on mouse models of Alzheimer’s disease
Zhong, M. Z., Peng, T., Duarte, M. L., Wang, M., & Cai, D. (2024) · Molecular Neurodegeneration · doi:10.1186/s13024-024-00712-0 · Cited by 189 · see citing works
Wang, M., Li, A., Sekiya, M., Beckmann, N. D., Quan, X., Schrode, N., Fernando, M. B., Yu, A., Zhu, L., Cao, J., et al. (2021) · Neuron · doi:10.1016/j.neuron.2020.11.002 · Cited by 185 · see citing works
Mahoney, E. R., Dumitrescu, L., Moore, A. M., Cambronero, F. E., De Jager, P. L., Koran, M. E. I., Petyuk, V. A., Robinson, R. A. S., Goyal, S., Schneider, J. A., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-019-0458-5 · Cited by 150 · see citing works
Oral Microbiota and Alzheimer’s Disease: Do All Roads Lead to Rome?
Sureda, A., Daglia, M., Argüelles Castilla, S., Sanadgol, N., Fazel Nabavi, S., Khan, H., Belwal, T., Jeandet, P., Marchese, A., Pistollato, F., et al. (2020) · Pharmacological Research · doi:10.1016/j.phrs.2019.104582 · Cited by 143 · see citing works
Zhao, L., Li, Z., Vong, J. S. L., Chen, X., Lai, H. M., Yan, L. Y. C., Huang, J., Sy, S. K. H., Tian, X. Y., Huang, Y., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18249-3 · Cited by 119 · see citing works
Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau
Rayaprolu, S., Higginbotham, L., Bagchi, P., Watson, C. M., Zhang, T., Levey, A. I., Rangaraju, S., & Seyfried, N. T. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-020-00840-3 · Cited by 118 · see citing works
Self-citationPottier, C. P., Ren, Y., Perkerson, R. B., Baker, M. C., Jenkins, G. D., van Blitterswijk, M., DeJesus‐Hernandez, M., van Rooij, J., Murray, M. E., Christopher, E. A., et al. (2019) · Acta Neuropathologica · doi:10.1007/s00401-019-01962-9 · Cited by 115 · see citing works
Self-citationBaglietto‐Vargas, D., Forner, S., Cai, L., Martini, A. C., Trujillo‐Estrada, L., Swarup, V., Nguyen, M. M. T., Huynh, K. D., Javonillo, D. I., Tran, K. M., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22624-z · Cited by 112 · see citing works
Self-citationConway, O. J., Carrasquillo, M. M., Wang, X., Bredenberg, J. M., Reddy, J. S., Strickland, S. L., Younkin, C. S., Burgess, J. D., Allen, M., Lincoln, S. J., et al. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0289-x · Cited by 112 · see citing works
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Thomas, C., Minty, M., Vinel, A., Canceill, T., Loubières, P., Burcelin, R., Kaddech, M., Blasco‐Baqué, V., & Laurencin‐Dalicieux, S. (2021) · Diagnostics · doi:10.3390/diagnostics11081376 · Cited by 116 · see citing works
Baloni, P., Arnold, M., Buitrago, L., Nho, K. T., Moreno, H., Huynh, K., Brauner, B., Louie, G., Kueider‐Paisley, A., Suhre, K., et al. (2022) · Communications Biology · doi:10.1038/s42003-022-04011-6 · Cited by 115 · see citing works
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Batra, R., Arnold, M., Wörheide, M. A., Allen, M., Wang, X., Blach, C., Levey, A. I., Seyfried, N. T., Ertekin‐Taner, N., Bennett, D. A., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12714 · Cited by 88 · see citing works
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Matrone, C., Petrillo, F., Nasso, R., & Ferretti, G. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21124444 · Cited by 86 · see citing works
Crist, A. M., Hinkle, K. M., Wang, X., Moloney, C. M., Matchett, B. J., Labuzan, S. A., Frankenhauser, I., Azu, N. O., Liesinger, A. M., Lesser, E. R., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22399-3 · Cited by 89 · see citing works
Self-citationTauopathies: Deciphering Disease Mechanisms to Develop Effective Therapies
Silva, M. C., & Haggarty, S. J. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21238948 · Cited by 87 · see citing works
Bishof, I., Dammer, E. B., Duong, D. M., Kundinger, S. R., Gearing, M., Lah, J. J., Levey, A. I., & Seyfried, N. T. (2018) · Journal of Biological Chemistry · doi:10.1074/jbc.ra118.001747 · Cited by 80 · see citing works
Self-citationQuadros, A. R. A. D. A., Li, Z., Wang, X., Ndayambaje, I. S., Aryal, S., Ramesh, N., Nolan, M., Jayakumar, R., Han, Y., Stillman, H., et al. (2024) · Acta Neuropathologica · doi:10.1007/s00401-023-02655-0 · Cited by 74 · see citing works
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Swarup, V., Chang, T. S., Duong, D. M., Dammer, E. B., Dai, J., Lah, J. J., Johnson, E. C. B., Seyfried, N. T., Levey, A. I., & Geschwind, D. H. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107807 · Cited by 78 · see citing works
Self-citationIdentification of conserved proteomic networks in neurodegenerative dementia
Swarup, V., Chang, T. S., Duong, D. M., Dammer, E. B., Lah, J. J., Johnson, E. E. C. B., Seyfried, N. T., Levey, A. I., & Geschwind, D. H. (2019) · doi:10.1101/825802 · Cited by 78 · see citing works
Self-citationWang, N., Wang, M., Jeevaratnam, S., Rosenberg, C., Ikezu, T. C., Shue, F., Doss, S. V., Alnobani, A., Martens, Y. A., Wren, M., et al. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00577-1 · Cited by 82 · see citing works
Self-citationIntegrative genomics approach identifies conserved transcriptomic networks in Alzheimer’s disease
Morabito, S., Miyoshi, E., Michael, N., & Swarup, V. (2020) · Human Molecular Genetics · doi:10.1093/hmg/ddaa182 · Cited by 74 · see citing works
Self-citationDeciphering cellular transcriptional alterations in Alzheimer’s disease brains
Wang, X., Allen, M., Li, S., Quicksall, Z., Patel, T., Carnwath, T., Reddy, J. S., Carrasquillo, M. M., Lincoln, S., Nguyen, T., et al. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00392-6 · Cited by 68 · see citing works
Self-citationOvens, K. L., Eames, B. F., & McQuillan, I. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.695399 · Cited by 65 · see citing works
Myelin in Alzheimer’s disease: culprit or bystander?
Maitre, M., Jeltsch-David, H., Okechukwu, N. G., Klein, C., Patte-Mensah, C., & Mensah-Nyagan, A.-G. (2023) · Acta Neuropathologica Communications · doi:10.1186/s40478-023-01554-5 · Cited by 66 · see citing works
Molecular estimation of neurodegeneration pseudotime in older brains
Mukherjee, S., Heath, L. M., Preuß, C., Jayadev, S., Garden, G. A., Greenwood, A. K., Sieberts, S. K., Jager, P. L. D., Ertekin‐Taner, N., Carter, G. W., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19622-y · Cited by 60 · see citing works
Self-citationPatel, T., Carnwath, T., Wang, X., Allen, M., Lincoln, S., Lewis‐Tuffin, L. J., Quicksall, Z., Lin, S., Tutor‐New, F. Q., Ho, C. C. G., et al. (2022) · Aging Cell · doi:10.1111/acel.13606 · Cited by 60 · see citing works
Self-citationMa, Y., Dammer, E. B., Felsky, D., Duong, D. M., Klein, H., White, C. C., Zhou, M., Logsdon, B. A., Aubin, C., Xu, J., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-27204-9 · Cited by 58 · see citing works
Self-citationAllen, M., Wang, X., Serie, D., Strickland, S. L., Burgess, J. D., Koga, S., Younkin, C. S., Nguyen, T., Malphrus, K. G., Lincoln, S., et al. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1900-5 · Cited by 58 · see citing works
Self-citationLevites, Y., Dammer, E. B., Ran, Y., Tsering, W., Duong, D. M., Abreha, M. H., Gadhavi, J. D., Lolo, K., Trejo‐Lopez, J. A., Phillips, J., et al. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101669 · Cited by 57 · see citing works
Self-citationBatch correction and harmonization of –Omics datasets with a tunable median polish of ratio
Dammer, E. B., Seyfried, N. T., & Johnson, E. C. B. (2023) · Frontiers in Systems Biology · doi:10.3389/fsysb.2023.1092341 · Cited by 53 · see citing works
Self-citationDickson, D. W., Baker, M., Jackson, J. L., DeJesus‐Hernandez, M., Finch, N. A., Tian, S., Heckman, M. G., Pottier, C. P., Gendron, T. F., Murray, M. E., et al. (2019) · Acta Neuropathologica Communications · doi:10.1186/s40478-019-0797-0 · Cited by 50 · see citing works
Self-citationMitochondrial DNA variation in Alzheimer’s disease reveals a unique microprotein called SHMOOSE
Miller, B., Kim, S., Mehta, H. H., Cao, K., Kumagai, H., Thumaty, N., Leelaprachakul, N., Braniff, R. G., Jiao, H., Vaughan, J. M., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01769-3 · Cited by 53 · see citing works
Self-citationYan, Z., Zhou, Z., Wu, Q., Chen, Z., Koo, E. H., & Zhong, S. (2020) · Current Biology · doi:10.1016/j.cub.2020.02.084 · Cited by 51 · see citing works
Cary, G. A., Wiley, J. C., Gockley, J., Keegan, S., Amirtha Ganesh, S. S., Heath, L., Butler, R. R., Mangravite, L. M., Logsdon, B. A., Longo, F. M., et al. (2024) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1002/trc2.12461 · Cited by 49 · see citing works
Self-citationGenetics of Gene Expression in the Aging Human Brain Reveal TDP-43 Proteinopathy Pathophysiology
Yang, H.-S., White, C. C., Klein, H.-U., Yu, L., Gaiteri, C., Ma, Y., Felsky, D., Mostafavi, S., Petyuk, V. A., Sperling, R. A., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.05.010 · Cited by 47 · see citing works
Self-citationTMEM106B haplotypes have distinct gene expression patterns in aged brain
Ren, Y., van Blitterswijk, M., Allen, M., Carrasquillo, M. M., Reddy, J. S., Wang, X., Beach, T. G., Dickson, D. W., Ertekin‐Taner, N., Asmann, Y. W., et al. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0268-2 · Cited by 47 · see citing works
Self-citationIntegrated analysis of the aging brain transcriptome and proteome in tauopathy
Mangleburg, C. G., Wu, T., Yalamanchili, H. K., Guo, C., Hsieh, Y.-C., Duong, D. M., Dammer, E. B., De Jager, P. L., Seyfried, N. T., Liu, Z., et al. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00405-4 · Cited by 75 · see citing works
Self-citationDeconstructing and targeting the genomic architecture of human neurodegeneration
Jager, P. L. D., Yang, H., & Bennett, D. A. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0240-z · Cited by 46 · see citing works
Logsdon, B. A., Perumal, T. M., Swarup, V., Wang, M., Funk, C. C., Gaiteri, C., Allen, M., Wang, X. B., Dammer, E. B., Srivastava, G. P., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/510420 · Cited by 46 · see citing works
Self-citationConsens, M. E., Chen, Y., Menon, V., Wang, Y., Schneider, J. A., De Jager, P. L., Bennett, D. A., Tripathy, S. J., & Felsky, D. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.903175 · Cited by 44 · see citing works
Kikuchi, M., Sekiya, M., Hara, N., Miyashita, A., Kuwano, R., Ikeuchi, T., Iijima, K., & Nakaya, A. (2020) · Human Molecular Genetics · doi:10.1093/hmg/ddz320 · Cited by 44 · see citing works
Medication effects on developmental sterol biosynthesis
Korade, Ž., Heffer, M., & Mirnics, K. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01074-5 · Cited by 42 · see citing works
Li, H., Funk, C. C., McFarland, K. N., Dammer, E. B., Allen, M., Carrasquillo, M. M., Levites, Y., Chakrabarty, P., Burgess, J. D., Wang, X., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12254 · Cited by 41 · see citing works
Self-citationOuellette, A. R., Neuner, S. M., Dumitrescu, L. C., Anderson, L. C., Gatti, D. M., Mahoney, E. R., Bubier, J. A., Churchill, G. A., Peters, L. L., Huentelman, M. J., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108091 · Cited by 40 · see citing works
Self-citationMoore, A. M., Mahoney, E. R., Dumitrescu, L. C., Jager, P. L. D., Koran, M. E. I., Petyuk, V., Robinson, R. A. S., Ruderfer, D. M., Cox, N. J., Schneider, J. A., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.10.021 · Cited by 35 · see citing works
MAPT haplotype–stratified GWAS reveals differential association for AD risk variants
Strickland, S. L., Reddy, J. S., Allen, M., N’Songo, A., Burgess, J. D., Corda, M. M., Ballard, T., Wang, X., Carrasquillo, M. M., Biernacka, J. M., et al. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12099 · Cited by 35 · see citing works
Self-citationSiddiqui, T., Coşacak, M. İ., Popova, S. D., Bhattarai, P., Yılmaz, E., Lee, A., Min, Y., Wang, X., Allen, M., İş, Ö., et al. (2023) · npj Regenerative Medicine · doi:10.1038/s41536-023-00311-5 · Cited by 35 · see citing works
Self-citationBatra, R., Krumsiek, J., Wang, X. B., Allen, M., Blach, C., Kastenmüller, G., Arnold, M., Ertekin‐Taner, N., & Kaddurah-Daouk, R. F. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14249 · Cited by 33 · see citing works
Self-citationNon‐coding variants in MYH11, FZD3, and SORCS3 are associated with dementia in women
Blue, E., Thornton, T. A., Kooperberg, C. L., Liu, S., Wactawski‐Wende, J., Manson, J. E., Kuller, L., Hayden, K. M., & Reiner, A. P. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12181 · Cited by 33 · see citing works
Identification of cell-type-specific marker genes from co-expression patterns in tissue samples
Qiu, Y., Wang, J., Lei, J., & Roeder, K. (2021) · Bioinformatics · doi:10.1093/bioinformatics/btab257 · Cited by 32 · see citing works
Wang, X., Allen, M., İş, Ö., Reddy, J. S., Tutor‐New, F. Q., Casey, M. C., Carrasquillo, M. M., Oatman, S. R., Min, Y., Asmann, Y. W., et al. (2021) · Journal of Clinical Investigation · doi:10.1172/jci149904 · Cited by 30 · see citing works
Self-citationReddy, J. S., Heath, L., Linden, A. V., Allen, M., Lopes, K. D. P., Seifar, F., Wang, E., Ma, Y., Poehlman, W. L., Quicksall, Z. S., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.14208 · Cited by 29 · see citing works
Self-citationReddy, J. S., Allen, M., Ho, C. C. G., Oatman, S. R., İş, Ö., Quicksall, Z., Wang, X., Jin, J., Patel, T., Carnwath, T., et al. (2021) · Acta Neuropathologica Communications · doi:10.1186/s40478-021-01199-2 · Cited by 29 · see citing works
Self-citationMarmolejo-Garza, A., Medeiros-Furquim, T., Rao, R. G., Eggen, B. J. L., Boddeke, E., & Dolga, A. M. (2022) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2022.119326 · Cited by 28 · see citing works
Staging Alzheimer’s Disease in the Brain and Retina of B6.APP/PS1 Mice by Transcriptional Profiling
Chintapaludi, S. R., Uyar, A., Jackson, H. M., Acklin, C. J., Wang, X., Sasner, M., Carter, G. W., & Howell, G. R. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-190793 · Cited by 25 · see citing works
Self-citationDisrupted myelination network in the cingulate cortex of Parkinson's disease
Xie, S., Yang, J., Huang, S., Fan, Y., Xu, T., He, J., Guo, J., Ji, X., Wang, Z., Li, P., et al. (2022) · IET Systems Biology · doi:10.1049/syb2.12043 · Cited by 24 · see citing works
Felsky, D., Santa‐María, I., Coşacak, M. İ., French, L., Schneider, J. A., Bennett, D. A., Jager, P. L. D., Kızıl, Ç., & Tosto, G. (2022) · Neurobiology of Disease · doi:10.1016/j.nbd.2022.105938 · Cited by 25 · see citing works
Gavriel, Y., Rabinovich-Nikitin, I., Ezra, A., Barbiro, B., & Solomon, B. (2020) · Journal of Alzheimer's Disease · doi:10.3233/jad-200506 · Cited by 23 · see citing works
Macyczko, J. R., Wang, N., Zhao, J., Ren, Y., Lü, W., Ikezu, T. C., Zhao, N., Liu, C., Bu, G., & Li, Y. (2022) · Molecular Neurobiology · doi:10.1007/s12035-022-03065-1 · Cited by 23 · see citing works
Predictive network analysis identifies JMJD6 and other potential key drivers in Alzheimer’s disease
Merchant, J. P., Zhu, K., Henrion, M., Zaidi, S. S. A., Lau, B., Moein, S., Alamprese, M. L., Pearse, R. V., Bennett, D. A., Ertekin‐Taner, N., et al. (2023) · Communications Biology · doi:10.1038/s42003-023-04791-5 · Cited by 22 · see citing works
Self-citationThe contribution of DNA methylation to the (dys)function of oligodendroglia in neurodegeneration
Fodder, K., de Silva, R., Warner, T. T., & Bettencourt, C. (2023) · Acta Neuropathologica Communications · doi:10.1186/s40478-023-01607-9 · Cited by 17 · see citing works
Tayran, H., Yılmaz, E., Bhattarai, P., Min, Y., Wang, X., Ma, Y., Wang, N., Jeong, I., Nelson, N. N., Kassara, N., et al. (2024) · Cell Genomics · doi:10.1016/j.xgen.2024.100642 · Cited by 18 · see citing works
Self-citationLatent trait modeling of tau neuropathology in progressive supranuclear palsy
Kouri, N., Murray, M. E., Reddy, J. S., Serie, D., Soto‐Beasley, A. I., Allen, M., Carrasquillo, M. M., Wang, X., Castanedes, M. C., Baker, M., et al. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02289-0 · Cited by 18 · see citing works
Self-citationMin, Y., Wang, X., İş, Ö., Patel, T., Gao, J., Reddy, J. S., Quicksall, Z., Nguyen, T., Lin, S., Tutor‐New, F. Q., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42626-3 · Cited by 20 · see citing works
Self-citationConsiderations for integrative multi‐omic approaches to explore Alzheimer's disease mechanisms
Ma, Y., Klein, H., & Jager, P. L. D. (2020) · Brain Pathology · doi:10.1111/bpa.12878 · Cited by 15 · see citing works
İş, Ö., Min, Y., Wang, X., Oatman, S. R., Daniel, A. A., & Ertekin‐Taner, N. (2024) · Glia · doi:10.1002/glia.24652 · Cited by 13 · see citing works
Self-citationBlusztajn, J. K., Aytan, N., Rajendiran, T. M., Mellott, T. J., Soni, T., Burant, C., Serrano, G. E., Beach, T. G., Lin, H., & Stein, T. D. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230543 · Cited by 12 · see citing works
Systems biology of Alzheimer’s Disease: a scoping review of key pathways and mechanisms
Bice, P. J., Nho, K. T., Ertekin‐Taner, N., & Saykin, A. J. (2026) · Molecular Neurodegeneration · doi:10.1186/s13024-026-00934-4 · Cited by 13 · see citing works
Self-citationPorphyromonas gingivalis promote microglia M1 polarization through the NF-кB signaling pathway
Li, X., Yao, C. H., Lan, D., Chen, Y., Wang, Y., & Qi, S. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e35340 · Cited by 11 · see citing works
Enrich-Bengoa, J., Manich, G., Degano, I. R., & Perálvarez‐Marín, A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232314868 · Cited by 11 · see citing works
Lv, L., Zhang, D., Hua, P., & Yang, S. (2020) · Life Sciences · doi:10.1016/j.lfs.2020.118760 · Cited by 11 · see citing works
Patel, K. R., Zhu, K., Henrion, M., Beckmann, N. D., Moein, S., Alamprese, M. L., Allen, M., Wang, X., Chan, G., Pertel, T., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.09.143529 · Cited by 9 · see citing works
Self-citationReddy, J. S., Jin, J., Lincoln, S., Ho, C. C. G., Crook, J. E., Wang, X., Malphrus, K. G., Nguyen, T., Tamvaka, N., Greig‐Custo, M. T., et al. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2022.103929 · Cited by 9 · see citing works
Self-citationPapazoglou, A., Henseler, C., Weickhardt, S., Teipelke, J., Παπάζογλου, Π., Daubner, J., Schiffer, T., Krings, D., Broich, K., Hescheler, J., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0296959 · Cited by 9 · see citing works
miR-142-3p regulates cortical oligodendrocyte gene co-expression networks associated with tauopathy
Hinman, J. D., Ngo, K. J., Kim, D., Chen, C.-D., Abraham, C. R., Ghanbari, M., Ikram, M. A., Kushner, S. A., Kawaguchi, R., Coppola, G., et al. (2020) · Human Molecular Genetics · doi:10.1093/hmg/ddaa252 · Cited by 10 · see citing works
Lin, C., Li, H., Deng, C., Liu, W., Erhardt, S., Wu, F., Zhao, X., Guan, Y., Wang, J., Wang, D., et al. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab522 · Cited by 9 · see citing works
Self-citationMurthy, M. N., Fodder, K., Miki, Y., Rambarack, N., Pablo‐Fernández, E. D., Pihlstrøm, L., Mill, J. S., Warner, T. T., Lashley, T., & Bettencourt, C. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02764-4 · Cited by 7 · see citing works
Cell type characterization of spatiotemporal gene co-expression modules in Down syndrome brain
Seol, S., Kwon, J., & Kang, H. J. (2022) · iScience · doi:10.1016/j.isci.2022.105884 · Cited by 8 · see citing works
Shen, D., Vincent, A. J., Udine, E., Buhidma, Y., Anoar, S., Tsintzas, E., Maeland, M. E., Xu, D., Carcolé, M., Osumi-Sutherland, D., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115459 · Cited by 7 · see citing works
Informing disease modelling with brain-relevant functional genomic annotations
Reynolds, R. H., Hardy, J., Ryten, M., & Taliun, S. A. G. (2019) · Brain · doi:10.1093/brain/awz295 · Cited by 8 · see citing works
Miyoshi, E., Morabito, S., & Swarup, V. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105530 · Cited by 7 · see citing works
Self-citationComprehensive characterization of the transcriptional landscape in Alzheimer’s disease (AD) brains
Chen, C., Zhang, Z., Liu, Y., Hong, W., Karahan, H., Wang, J., Li, W., Diao, L., Yu, M., Saykin, A. J., et al. (2025) · Science Advances · doi:10.1126/sciadv.adn1927 · Cited by 6 · see citing works
Oatman, S. R., Reddy, J. S., Atashgaran, A., Wang, X., Min, Y., Quicksall, Z., Vanelderen, F., Carrasquillo, M. M., Liu, C.-C., Yamazaki, Y., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-68864-9 · Cited by 6 · see citing works
Self-citationIohan, L. D. C. C., Lambert, J., & Costa, M. R. (2022) · PLoS ONE · doi:10.1371/journal.pone.0266405 · Cited by 6 · see citing works
Wan, Y., Al-Ouran, R., Mangleburg, C. G., Lee, T. V., Allison, K., Neuner, S., Kaczorowski, C., Phillip, V., Howell, G. R., Martini-Stoica, H., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/506873 · Cited by 5 · see citing works
Self-citationMolecular Networks and Key Regulators of the Dysregulated Neuronal System in Alzheimer’s Disease
Wang, M., Li, A., Sekiya, M., Beckmann, N. D., Quan, X., Schrode, N., Fernando, M. B., Yu, A., Zhu, L., Cao, J., et al. (2019) · doi:10.1101/788323 · Cited by 6 · see citing works
A Spanish-Portuguese GWAS of progressive supranuclear palsy reveals a novel risk locus in NFASC
García‐González, P., Lara, H. R., Compta, Y., Fernandez, M., van der Lee, S. J., de Rojas, I., Saiz-Aúz, L., Painous, C., Camara, A., Muñoz, E., et al. (2025) · European Journal of Human Genetics · doi:10.1038/s41431-025-01872-3 · Cited by 5 · see citing works
Scheidemantel, L. P., Lopes, K. D. P., Gaiteri, C., Menon, V., Jager, P. L. D., Schneider, J. A., Buchman, A. S., Wang, Y., Tasaki, S., Raittz, R. T., et al. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117235 · Cited by 6 · see citing works
Tayran, H., Yılmaz, E., Bhattarai, P., Min, Y., Wang, X., Ma, Y., Nelson, N. N., Kassara, N., Coşacak, M. İ., Dogru, R. M., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.089273 · Cited by 6 · see citing works
Self-citationGeometric structure guided model and algorithms for complete deconvolution of gene expression data
Chen, D., Li, S., & Wang, X. (2022) · Foundations of Data Science · doi:10.3934/fods.2022013 · Cited by 5 · see citing works
Self-citationSingle Nuclei Transcriptome Reveals Perturbed Brain Vascular Molecules in Alzheimer’s DiseasePreprint
İş, Ö., Wang, X., Patel, T., Quicksall, Z., Heckman, M. G., White, L. J., Lewis‐Tuffin, L. J., Deniz, K., Tutor‐New, F. Q., Carnwath, T., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.12.28.474255 · Cited by 5 · see citing works
Self-citation
- Authors
- Allen, M., Wang, X., Burgess, J. D., Watzlawik, J., Serie, D. J., Younkin, C. S., Nguyen, T., Malphrus, K. G., Lincoln, S., Carrasquillo, M. M., Ho, C., Chakrabarty, P., Strickland, S., Murray, M. E., Swarup, V., Geschwind, D. H., Seyfried, N. T., Dammer, E. B., Lah, J. J., Levey, A. I., Golde, T. E., Funk, C., Li, H., Price, N. D., Petersen, R. C., Graff‐Radford, N. R., Younkin, S. G., Dickson, D. W., Crook, J. R., Asmann, Y. W., & Ertekin‐Taner, N.
- Affiliations
- Mayo Clinic (US)
- University of Florida (US)
- University of California, Los Angeles (US)
- Emory University (US)
- Institute for Systems Biology (US)
- Corresponding author
- Ertekin‐Taner, Nilüfer
- ORCID
- Allen, Mariet
- Wang, Xue
- Burgess, Jeremy D.
- Watzlawik, Jens
- Nguyen, Thuy
- Carrasquillo, Minerva M.
- Ho, Charlotte
- Chakrabarty, Paramita
- Strickland, Samantha
- Murray, Melissa E.
- Swarup, Vivek
- Geschwind, Daniel H.
- Seyfried, Nicholas T.
- Dammer, Eric B.
- Lah, James J.
- Levey, Allan I.
- Golde, Todd E.
- Funk, Cory
- Price, Nathan D.
- Petersen, Ronald C.
- Graff‐Radford, Neill R.
- Younkin, Steven G.
- Dickson, Dennis W.
- Asmann, Yan W.
- Ertekin‐Taner, Nilüfer
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2017-10-26
- Volume
- 14
- Issue
- 3
- Pages
- 352-366
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC5866744
- OpenAlex
- W2765616742
- Cited by
- 143
- References
- 47
- Citations by year
- 2026: 10 · 2025: 10 · 2024: 15 · 2023: 9 · 2022: 26 · 2021: 25 · 2020: 29 · 2019: 12 · 2018: 6
- FWCI
- 9.51
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Arizona Biomedical Research Commission (4001, 0011, 05-901, 1001)
- Arizona Department of Health Services (211002)
- National Institute on Aging (P30 AG19610, R01 AG032990, RF AG051504, U01 AG046139, P50 AG0016574, U01 AG006786)
- National Institute of Neurological Disorders and Stroke (U24 NS072026, R01 NS080820)
- Center for Individualized Medicine, Mayo Clinic
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, progressive supranuclear palsy
- MeSH terms
- Alzheimer Disease, Brain, Female, Gene Expression Regulation, Humans, Male, Myelin Sheath, Neurons, Supranuclear Palsy, Progressive, Cohort Studies, Computational Biology, Genetic Predisposition to Disease, Transcriptome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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