A molecular network of the aging human brain provides insights into the pathology and cognitive decline of Alzheimer’s disease
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Charles C. White | A. Regev | J. Schneider | C. Gaiteri | D. Bennett | S. Mostafavi | D. Root | L. Chibnik | P. D. De Jager | Lei Yu | H. Klein | C. White | E. Bradshaw | M. Taga | S. Sullivan | S. Tasaki | Jishu Xu | E. Patrick | V. Komashko | C. Mccabe | Robert V Smith | T. Young-Pearse | David A. Bennett | Robert V. Smith | Tracy L. Young-Pearse | Hans Klein | C. McCabe | Ellis Patrick | Sara Mostafavi | Lei Yu | J. Schneider | Lei Yu | Vitalina Komashko | Vitalina M. Komashko | Chris Gaiteri | J. Schneider | D. Bennett
[1] M. Folstein,et al. Clinical diagnosis of Alzheimer's disease , 1984, Neurology.
[2] J. Trojanowski,et al. Editorial on Consensus Recommendations for the Postmortem Diagnosis of Alzheimer Disease from the National Institute on Aging and the Reagan Institute Working Group on Diagnostic Criteria for the Neuropathological Assessment of Alzheimer Disease , 1997, Journal of neuropathology and experimental neurology.
[3] Adrian E. Raftery,et al. Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors , 1999 .
[4] M. Clyde,et al. Bayesian model averaging: A tutorial - Comment , 1999 .
[5] Thomas D. Schmittgen,et al. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. , 2001, Methods.
[6] J. Schneider,et al. Individual differences in rates of change in cognitive abilities of older persons. , 2002, Psychology and aging.
[7] Lisa Barnes,et al. Assessment of Lifetime Participation in Cognitively Stimulating Activities , 2003, Journal of clinical and experimental neuropsychology.
[8] John D. Storey,et al. Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[9] J. Wesson Ashford,et al. ApoE genotype accounts for the vast majority of AD risk and AD pathology , 2004, Neurobiology of Aging.
[10] S. Horvath,et al. A General Framework for Weighted Gene Co-Expression Network Analysis , 2005, Statistical applications in genetics and molecular biology.
[11] Paola Arlotta,et al. Neuronal Subtype-Specific Genes that Control Corticospinal Motor Neuron Development In Vivo , 2005, Neuron.
[12] Douglas D. Boyd,et al. Histone H3 Acetylation and H3 K4 Methylation Define Distinct Chromatin Regions Permissive for Transgene Expression , 2006, Molecular and Cellular Biology.
[13] J. Schneider,et al. Neuropathology of older persons without cognitive impairment from two community-based studies , 2006, Neurology.
[14] S. Nelson,et al. Molecular taxonomy of major neuronal classes in the adult mouse forebrain , 2006, Nature Neuroscience.
[15] David A. Bennett,et al. Mixed brain pathologies account for most dementia cases in community-dwelling older persons , 2007, Neurology.
[16] Cheng Li,et al. Adjusting batch effects in microarray expression data using empirical Bayes methods. , 2007, Biostatistics.
[17] John D. Storey,et al. Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis , 2007, PLoS genetics.
[18] Steve Horvath,et al. WGCNA: an R package for weighted correlation network analysis , 2008, BMC Bioinformatics.
[19] Y. Xing,et al. A Transcriptome Database for Astrocytes, Neurons, and Oligodendrocytes: A New Resource for Understanding Brain Development and Function , 2008, The Journal of Neuroscience.
[20] P. Greengard,et al. Resource Application of a Translational Profiling Approach for the Comparative Analysis of CNS Cell Types , 2009 .
[21] Marco Grzegorczyk,et al. Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move , 2008, Machine Learning.
[22] Cole Trapnell,et al. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome , 2009, Genome Biology.
[23] P. Greengard,et al. Application of a Translational Profiling Approach for the Comparative Analysis of CNS Cell Types , 2008, Cell.
[24] S. Leurgans,et al. The neuropathology of probable Alzheimer disease and mild cognitive impairment , 2009, Annals of neurology.
[25] Daniel H. Geschwind,et al. Neuroscience in the era of functional genomics and systems biology , 2009, Nature.
[26] Richard Durbin,et al. Sequence analysis Fast and accurate short read alignment with Burrows – Wheeler transform , 2009 .
[27] Ken Sugino,et al. Transcriptional and Electrophysiological Maturation of Neocortical Fast-Spiking GABAergic Interneurons , 2009, The Journal of Neuroscience.
[28] G. Gonye,et al. VTA neurons show a potentially protective transcriptional response to MPTP , 2010, Brain Research.
[29] Leopold Parts,et al. A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies , 2010, PLoS Comput. Biol..
[30] N. Friedman,et al. Comprehensive comparative analysis of strand-specific RNA sequencing methods , 2010, Nature Methods.
[31] Magdalena Götz,et al. In vivo fate mapping and expression analysis reveals molecular hallmarks of prospectively isolated adult neural stem cells. , 2010, Cell stem cell.
[32] T. Shimokawa,et al. SHIP2 and its involvement in various diseases , 2010, Expert opinion on therapeutic targets.
[33] T. Uwano,et al. The inositol phosphatase SHIP2 negatively regulates insulin/IGF-I actions implicated in neuroprotection and memory function in mouse brain. , 2010, Molecular endocrinology.
[34] Rui Luo,et al. Is My Network Module Preserved and Reproducible? , 2011, PLoS Comput. Biol..
[35] Jason J. Corneveaux,et al. CR1 is associated with amyloid plaque burden and age‐related cognitive decline , 2011, Annals of neurology.
[36] C. Brennan,et al. Recruited Cells Can Become Transformed and Overtake PDGF-Induced Murine Gliomas In Vivo during Tumor Progression , 2011, PloS one.
[37] Colin N. Dewey,et al. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome , 2011, BMC Bioinformatics.
[38] N. Perrone-Bizzozero,et al. Increased expression of axogenesis-related genes and mossy fibre length in dentate granule cells from adult HuD overexpressor mice , 2011, ASN neuro.
[39] J. Schneider,et al. Overview and findings from the rush Memory and Aging Project. , 2012, Current Alzheimer research.
[40] P. Deloukas,et al. Patterns of Cis Regulatory Variation in Diverse Human Populations , 2012, PLoS genetics.
[41] Z. Josh Huang,et al. Developmental Coordination of Gene Expression between Synaptic Partners During GABAergic Circuit Assembly in Cerebellar Cortex , 2012, Front. Neural Circuits.
[42] P. Greengard,et al. Identification of the Cortical Neurons that Mediate Antidepressant Responses , 2012, Cell.
[43] J. Schneider,et al. Overview and findings from the religious orders study. , 2012, Current Alzheimer research.
[44] Jason J. Corneveaux,et al. A genome-wide scan for common variants affecting the rate of age-related cognitive decline , 2012, Neurobiology of Aging.
[45] Colm O'Dushlaine,et al. INRICH: interval-based enrichment analysis for genome-wide association studies , 2012, Bioinform..
[46] H. Sariola,et al. More than nervous: the emerging roles of plexins. , 2012, Differentiation; research in biological diversity.
[47] S. Leurgans,et al. Cognitive impairment, decline and fluctuations in older community-dwelling subjects with Lewy bodies. , 2012, Brain : a journal of neurology.
[48] Yong Zhang,et al. Identifying ChIP-seq enrichment using MACS , 2012, Nature Protocols.
[49] J. Schneider,et al. Demonstrated brain insulin resistance in Alzheimer's disease patients is associated with IGF-1 resistance, IRS-1 dysregulation, and cognitive decline. , 2012, The Journal of clinical investigation.
[50] R. Wilson,et al. Relation of neuropathology to cognition in persons without cognitive impairment , 2012, Annals of neurology.
[51] B. Barres,et al. Genomic Analysis of Reactive Astrogliosis , 2012, The Journal of Neuroscience.
[52] T. Ideker,et al. Integrative approaches for finding modular structure in biological networks , 2013, Nature Reviews Genetics.
[53] J. Schneider,et al. Much of late life cognitive decline is not due to common neurodegenerative pathologies , 2013, Annals of neurology.
[54] Joshua L Plotkin,et al. MicroRNA-128 Governs Neuronal Excitability and Motor Behavior in Mice , 2013, Science.
[55] Jee Hoon Roh,et al. Translational profiling of hypocretin neurons identifies candidate molecules for sleep regulation. , 2013, Genes & development.
[56] S. Horvath,et al. Genes and pathways underlying regional and cell type changes in Alzheimer's disease , 2013, Genome Medicine.
[57] Nick C Fox,et al. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease , 2013, Nature Genetics.
[58] Daphne Koller,et al. Normalizing RNA-Sequencing Data by Modeling Hidden Covariates with Prior Knowledge , 2013, PloS one.
[59] L. Tran,et al. Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease , 2013, Cell.
[60] Aviv Regev,et al. Comprehensive comparative analysis of RNA sequencing methods for degraded or low input samples , 2013, Nature Methods.
[61] J. Weuve,et al. Alzheimer disease in the United States (2010–2050) estimated using the 2010 census , 2013, Neurology.
[62] D. Koller,et al. Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individuals , 2013, Genome research.
[63] C. Shaw,et al. CGG repeats in RNA modulate expression of TDP-43 in mouse and fly models of fragile X tremor ataxia syndrome. , 2014, Human molecular genetics.
[64] Pablo Villoslada,et al. Modules, networks and systems medicine for understanding disease and aiding diagnosis , 2014, Genome Medicine.
[65] S. Nelson,et al. Cell-Type-Specific Repression by Methyl-CpG-Binding Protein 2 Is Biased toward Long Genes , 2014, The Journal of Neuroscience.
[66] S. Leurgans,et al. Disentangling the effects of age and APOE on neuropathology and late life cognitive decline , 2014, Neurobiology of Aging.
[67] C. Jack,et al. Age-specific population frequencies of cerebral β-amyloidosis and neurodegeneration among people with normal cognitive function aged 50–89 years: a cross-sectional study , 2014, The Lancet Neurology.
[68] J. Cummings,et al. Alzheimer’s disease drug-development pipeline: few candidates, frequent failures , 2014, Alzheimer's Research & Therapy.
[69] P. Greengard,et al. Molecular adaptations of striatal spiny projection neurons during levodopa-induced dyskinesia , 2014, Proceedings of the National Academy of Sciences.
[70] G. Tseng,et al. Beyond modules and hubs: the potential of gene coexpression networks for investigating molecular mechanisms of complex brain disorders , 2014, Genes, brain, and behavior.
[71] Margaret A. Pericak-Vance,et al. Genome-Wide Association Meta-analysis of Neuropathologic Features of Alzheimer's Disease and Related Dementias , 2014, PLoS genetics.
[72] E. Nestler,et al. G9a influences neuronal subtype specification in striatum , 2014, Nature Neuroscience.
[73] F. Edwards,et al. A genome-wide gene-expression analysis and database in transgenic mice during development of amyloid or tau pathology. , 2015, Cell reports.
[74] Elias Chaibub Neto,et al. Bayesian Network Reconstruction Using Systems Genetics Data: Comparison of MCMC Methods , 2015, Genetics.
[75] Boleslaw K. Szymanski,et al. Supplemental Methods For: Identifying Robust Communities and Multi-community Nodes by Combining Top-down and Bottom-up Approaches to Clustering , 2022 .
[76] D. Bennett,et al. Conscientiousness, dementia related pathology, and trajectories of cognitive aging. , 2015, Psychology and aging.
[77] Daniel H. Geschwind,et al. Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders , 2015, Nature Reviews Genetics.
[78] Jun S. Liu,et al. The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans , 2015, Science.
[79] C. Gaiteri,et al. Genetic variants in Alzheimer disease — molecular and brain network approaches , 2016, Nature Reviews Neurology.
[80] J. Schneider,et al. Relation of genomic variants for Alzheimer disease dementia to common neuropathologies , 2016, Neurology.
[81] Lilah Toker,et al. Cross-Laboratory Analysis of Brain Cell Type Transcriptomes with Applications to Interpretation of Bulk Tissue Data , 2016, eNeuro.
[82] Stefania Loredana Nita,et al. Types , 2019, Haskell Quick Syntax Reference.