ArticleFrontiers in genetics2018
Multi-omic Directed Networks Describe Features of Gene Regulation in Aged Brains and Expand the Set of Genes Driving Cognitive Decline.
Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed, 29 citations in OpenAlex.
- Integrating amyloid and tau imaging with proteomics and genomics in Alzheimer's disease.Cell reports. Medicine · 2024Review
- The ROSMAP project: aging and neurodegenerative diseases through omic sciences.Frontiers in neuroinformatics · 2024Review
- Identification of candidate genes for developmental colour agnosia in a single unique family.PloS one · 2023Article
- Cell type-specific changes identified by single-cell transcriptomics in Alzheimer's disease.Genome medicine · 2022Review
- Spatiotemporal specificity of correlated DNA methylation and gene expression pairs across different human tissues and stages of brain development.Epigenetics · 2022Article
- Elevated ganglioside GM2 activator (GM2A) in human brain tissue reduces neurite integrity and spontaneous neuronal activity.Molecular neurodegeneration · 2022Article
- Article
- The promise of multi-omics approaches to discover biological alterations with clinical relevance in Alzheimer's disease.Frontiers in aging neuroscience · 2022Review
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- A multi-omic study for uncovering molecular mechanisms associated with hyperammonemia-induced cerebellar function impairment in rats.Cell biology and toxicology · 2021Article
- Considerations for integrative multi-omic approaches to explore Alzheimer's disease mechanisms.Brain pathology (Zurich, Switzerland) · 2020Review
- Bayesian integrative analysis of epigenomic and transcriptomic data identifies Alzheimer's disease candidate genes and networks.PLoS computational biology · 2020Article
- Quantitative Systems Pharmacology for Neuroscience Drug Discovery and Development: Current Status, Opportunities, and Challenges.CPT: pharmacometrics & systems pharmacology · 2020Article
- Identifying Mechanisms of Normal Cognitive Aging Using a Novel Mouse Genetic Reference Panel.Frontiers in cell and developmental biology · 2020Article
- Review
- Genetic risk for Alzheimer's dementia predicts motor deficits through multi-omic systems in older adults.Translational psychiatry · 2019Article
- Molecular Signatures of the Aging Brain: Finding the Links Between Genes and Phenotypes.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2019Review
- The Molecular and Neuropathological Consequences of Genetic Risk for Alzheimer's Dementia.Frontiers in neuroscience · 2018Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Multiple aspects of molecular regulation, including genetics, epigenetics, and mRNA collectively influence the development of age-related neurologic diseases. Therefore, with the ultimate goal of understanding molecular systems associated with cognitive decline, we infer directed interactions among regulatory elements in the local regulatory vicinity of individual genes based on brain multi-omics data from 413 individuals. These local regulatory networks (LRNs) capture the influences of genetics and epigenetics on gene expression in older adults. LRNs were confirmed through correspondence to known transcription biophysics. To relate LRNs to age-related neurologic diseases, we then incorporate common neuropathologies and measures of cognitive decline into this framework. This step identifies a specific set of largely neuronal genes, such as
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.