Data-Driven Analysis of Age, Sex, and Tissue Effects on Gene Expression Variability in Alzheimer's Disease

• Published in: Frontiers in neuroscience Vol. 13; p. 392
• Main Authors: Brooks, Lavida R. K., Mias, George I.
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 24.04.2019; Frontiers Media S.A
• Subjects: Age; Aging; Alzheimer's disease; Brain research; Datasets; Deoxyribonucleic acid; DNA; DNA microarrays; Gene expression; Geriatrics; Health care; Immune system; Life span; Meta-analysis; microarray analysis; MicroRNAs; Mitochondria; Neurodegeneration; Neurodegenerative diseases; Neurofibrillary tangles; Neuroscience; Older people; Plaques; Proteins; Researchers; Statistical analysis; transcriptomics; Translation; Variance analysis; γ-Aminobutyric acid; United States > US; East Lansing Michigan; Michigan; microarray analysis; bioinformatics; meta-analysis; neurodegeneration; transcriptomics; aging; Alzheimer's disease

Alzheimer's disease (AD) has been categorized by the Centers for Disease Control and Prevention (CDC) as the 6 leading cause of death in the United States. AD is a significant health-care burden because of its increased occurrence (specifically in the elderly population), and the lack of effect...