Novel methods for integration and visualization of genomics and genetics data in Alzheimer's disease.

ABSTRACT:

Introduction

Numerous omics studies have been conducted to understand the molecular networks involved in Alzheimer's disease (AD), but the pathophysiology is still not completely understood; new approaches that enable neuroscientists to better interpret the results of omics analysis are required.

Methods

We have developed advanced methods to analyze and visualize publicly-available genomics and genetics data. The tools include a composite clinical-neuropathological score for defining AD, gene expression maps in the brain, and networks integrating omics data to understand the impact of polymorphisms on AD pathways.

Results

We have analyzed over 50 public human gene expression data sets, spanning 19 different brain regions and encompassing three separate cohorts. We integrated genome-wide association studies with expression data to identify important genes in the pathophysiology of AD, which provides further insight into the calcium signaling and calcineurin pathways.

Discussion

Biologists can use these freely-available tools to obtain a comprehensive, information-rich view of the pathways in AD.

SUBMITTER: Bihlmeyer NA 

PROVIDER: S-EPMC6664293 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature