Systematic Analysis and Biomarker Study for Alzheimer’s Disease

• Published in: Scientific reports Vol. 8; no. 1; pp. 17394 - 14
• Main Authors: Li, Xinzhong, Wang, Haiyan, Long, Jintao, Pan, Genhua, He, Taigang, Anichtchik, Oleg, Belshaw, Robert, Albani, Diego, Edison, Paul, Green, Elaine K, Scott, James
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 26.11.2018; Nature Publishing Group
• Subjects: 45/43; 45/61; 631/553/1833; 692/53/2421; Age; Alzheimer Disease - blood; Alzheimer Disease - genetics; Alzheimer Disease - metabolism; Alzheimer's disease; Biomarkers; Biomarkers - blood; Biomarkers - metabolism; Blood; Blood - metabolism; Brain; Brain - metabolism; Case-Control Studies; Cognitive ability; Cognitive Dysfunction - blood; Cognitive Dysfunction - genetics; Cognitive Dysfunction - metabolism; Datasets; Dementia; Gender; Gene expression; Genome-wide association studies; Genome-Wide Association Study; Genomes; Genomics; Humanities and Social Sciences; Humans; Learning algorithms; Machine Learning; Mitochondria; Mitochondria - genetics; multidisciplinary; NF-kappa B - genetics; NF-κB protein; Nitric Oxide Synthase Type II - genetics; Nitric-oxide synthase; Parkinson's disease; Ribosomes - genetics; Science; Science (multidisciplinary); Sensitivity and Specificity; Signal transduction; Signal Transduction - genetics; Tyk2 protein; Genome-wide Association Studies; Area Under Precision-recall Curve (AUPR); International Genomics Of Alzheimer’s Project (IGAP); Differentially Expressed Genes (DEGs); Least Absolute Shrinkage And Selection Operator (LASSO)

Revealing the relationship between dysfunctional genes in blood and brain tissues from patients with Alzheimer’s Disease (AD) will help us to understand the pathology of this disease. In this study, we conducted the first such large systematic analysis to identify differentially expressed genes (DEG...