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Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease
A molecular network of the aging human brain provides insights into the pathology and cognitive decline of Alzheimer’s disease
The construction and validation of a molecular network of the aging human frontal cortex is reported, constructed and validated from RNA sequence data from 478 individuals and identified genes that affect cognitive decline or neuropathology in Alzheimer's disease.
An xQTL map integrates the genetic architecture of the human brain’s transcriptome and epigenome
We report a multi-omic resource generated by applying quantitative trait locus (xQTL) analyses to RNA sequence, DNA methylation and histone acetylation data from the dorsolateral prefrontal cortex of…
Beyond modules and hubs: the potential of gene coexpression networks for investigating molecular mechanisms of complex brain disorders
To accelerate coexpression research beyond modules and hubs, some emerging directions for coexpression network research that are especially relevant to complex brain disease are highlighted, including the centrality–lethality relationship, integration with machine learning approaches and network pharmacology.
A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research
We initiated the systematic profiling of the dorsolateral prefrontal cortex obtained from a subset of autopsied individuals enrolled in the Religious Orders Study (ROS) or the Rush Memory and Aging…
A molecular signature of depression in the amygdala.
- E. Sibille, Yingjie Wang, D. Lewis
- Psychology, BiologyThe American journal of psychiatry
- 1 September 2009
These studies demonstrate that the biological liability to major depression is reflected in a persistent molecular pathology that affects the amygdala, and support the hypothesis of maladaptive changes in this brain region as a putative primary pathology in major depression.
Variants in triggering receptor expressed on myeloid cells 2 are associated with both behavioral variant frontotemporal lobar degeneration and Alzheimer's disease
Genetic variants in Alzheimer disease — molecular and brain network approaches
- C. Gaiteri, S. Mostafavi, C. Honey, P. D. Jager, D. Bennett
- BiologyNature Reviews Neurology
- 1 July 2016
How the study of molecular, cellular and brain networks provides additional information on the effects of LOAD-associated genetic variants at multiple biophysical scales is discussed and the clinical potential of mechanistically coupling genetic variants and disease phenotypes with multiscale brain models is highlighted.
Identifying robust communities and multi-community nodes by combining top-down and bottom-up approaches to clustering
This work proposes an unorthodox clustering method called SpeakEasy which identifies communities using top-down and bottom-up approaches simultaneously and can quantify the stability of each community, automatically identify the number of communities, and quickly cluster networks with hundreds of thousands of nodes.