Differential co-expression analysis reveals early stage transcriptomic decoupling in alzheimer's disease.

ABSTRACT:

Background

Alzheimer's disease (AD) is one of the leading causes of death in the US and there is no validated drugs to stop, slow or prevent AD. Despite tremendous effort on biomarker discovery, existing findings are mostly individual biomarkers and provide limited insights into the transcriptomic decoupling underlying AD. We propose to explore the gene co-expression patterns in multiple AD stages, including cognitively normal (CN), early mild cognitive impairment (EMCI), late MCI and AD.

Methods

We modified traiditonal joint graphical lasso to model our asusmption that the co-expression networks in consecutive disease stages are largely similar with critical differences. In addition, we performed subsequent network comparison analysis for identification of stage specific tr

SUBMITTER: Upadhyaya Y 

PROVIDER: S-EPMC7118822 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature