Novel methods for integration and visualization of genomics and genetics data in Alzheimer's disease. Issue 6 (29th March 2019)

• Record Type: Journal Article
• Authors: Bihlmeyer, Nathan A.; Merrill, Emily; Lambert, Yann; Srivastava, Gyan P.; Clark, Timothy W.; Hyman, Bradley T.; Das, Sudeshna
• Is Part Of: Alzheimer's & dementia. Volume 15:Issue 6(2019)
• Page Start: 788
• Page End: 798
• Publication Date: 2019-03-29
• Subjects: Genomics -- Data visualization -- Calcium signaling pathway -- Calcineurin -- Alzheimer's disease -- PTK2B -- TOMM40; Alzheimer's disease -- Periodicals; Alzheimer Disease -- Periodicals; Dementia -- Periodicals; Démence; Maladie d'Alzheimer; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.83
• DOI: 10.1016/j.jalz.2019.01.011
• Languages: English
• ISSNs: 1552-5260

Abstract

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.