Article

Network-based identification of genetic factors in Ageing, lifestyle and Type 2 Diabetes that Influence in the progression of Alzheimer’s disease

2018-11-29

Abstract excerpt

<h4>Motivation</h4> Alzheimer’s disease (AD) is currently incurable and the causative risk factors are still poorly understood, which impedes development of effective prevention and treatment strategies. We propose a network-based quantitative framework to reveal details of the complex interaction between the various genetic contributors to AD susceptibility. We analyzed gene expression microarray data from tissu...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 95735ca5-c748-5905-83a6-ea206b4c08c6
DOI: 10.1101/482844

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Network-based identification of genetic factors in Ageing, lifestyle and Type 2 Diabetes that Influence in the progression of Alzheimer’s diseaseDOI 10.1101/482844Read

Genetic Networks of Alzheimer’s Disease, Aging and Longevity in HumansSemantic proximity Read

Mapping cross-domain drivers of Alzheimer’s disease risk through integrated network analysisSemantic proximity Read

Identification of Genetic Markers and Immune Infiltration Characteristics of Alzheimer’s Disease Through Weighted Gene Co-expression Network AnalysisSemantic proximity Read

Genetic Networks of Alzheimer’s Disease, Aging, and Longevity in HumansSemantic proximity Read

Identification of network-based differential gene expression signatures and their transcriptional factors to develop progressive blood biomarkers for Alzheimer’s diseaseSemantic proximity Read

Key Regulators of Alzheimer’s Disease: Network Biology and In-Silico Analysis with AChE and Glutamate InhibitorsSemantic proximity Read

Biological and disease hallmarks of Alzheimer’s disease defined by Alzheimer’s disease genesSemantic proximity Read

Deep Post-GWAS Analysis Identifies Potential Risk Genes and Causal Variants for Alzheimer’s Disease, Providing New Insights Into Its Disease MechanismsSemantic proximity Read

Novel graph theoretic biological pathway network analytics methods for analyzing and discovering Alzheimer’s disease related genesSemantic proximity Read

Integrated Analysis of Weighted Gene Coexpression Network Analysis Identifying Six Genes as Novel Biomarkers for Alzheimer’s DiseaseSemantic proximity Read

Integrative Multiomics Insights into the Genetic and Epigenetic Architecture of Alzheimer's Disease.Semantic proximity Read