Multi-omic Directed Networks Describe Features of Gene Regulation in Aged Brains and Expand the Set of Genes Driving Cognitive Decline.

Front Genet
Authors
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 and , predicted to control cognitive decline in older adults. These predictions are validated in separate cohorts by comparison to genetic associations for general cognition. LRNs are shared through on the Rush Alzheimer's Disease Center Resource Sharing Hub ().

Year of Publication
2018
Journal
Front Genet
Volume
9
Pages
294
Date Published
2018
ISSN
1664-8021
DOI
10.3389/fgene.2018.00294
PubMed ID
30140277
PubMed Central ID
PMC6095043
Links
Grant list
RF1 AG036042 / AG / NIA NIH HHS / United States
U01 AG046152 / AG / NIA NIH HHS / United States
RF1 AG015819 / AG / NIA NIH HHS / United States
R01 AG017917 / AG / NIA NIH HHS / United States
R01 AG057911 / AG / NIA NIH HHS / United States
R01 AG033678 / AG / NIA NIH HHS / United States
R01 AG036042 / AG / NIA NIH HHS / United States
P30 AG010161 / AG / NIA NIH HHS / United States
R01 AG015819 / AG / NIA NIH HHS / United States