Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Genome-wide interaction analysis of pathological hallmarks in Alzheimer's disease.

Neurobiology of aging - 1 Sept 2020

Wang Hui, Yang Jingyun, Schneider Julie A, De Jager Philip L, Bennett David A, Zhang Hong-Yu

Abstract excerpt

Genome-wide association studies have identified many loci associated with Alzheimer's dementia. However, these variants only explain part of the heritability of Alzheimer's disease (AD). As genetic epistasis can be a major contributor to the "missing heritability" of AD, we conducted genome-wide epistasis screening for AD pathologies in 2 independent cohorts. First, we performed a genome-wide epistasis study of...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aged, 80 and over
Share to Alzheimer Disease
Share to Amyloid beta-Peptides

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cohort Studies

Share to Epistasis, Genetic

Share to Genome-Wide Association Study

Share to tau Proteins

Source

Open in PubMed Open full text

Identifiers

PMID: 32450446
DOI: 10.1016/j.neurobiolaging.2020.04.025
PMCID: PMC9795865

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genome-wide interaction analysis of pathological hallmarks in Alzheimer's disease.PMID 32450446Read ↗

Genome-wide epistasis analysis for Alzheimer's disease and implications for genetic risk prediction.Semantic proximity Read ↗

Bridging the Gap between Statistical and Biological Epistasis in Alzheimer’s DiseaseSemantic proximity Read ↗

GenEpi: Gene-based Epistasis Discovery Using Machine LearningSemantic proximity Read ↗

Genome-wide association interaction analysis for Alzheimer's diseaseSemantic proximity Read ↗

Identifying potential genetic epistasis implicated in Alzheimer's disease via detection of SNP-SNP interaction on quantitative trait CSF Aβ42.Semantic proximity Read ↗

Epistasis in the risk of human neuropsychiatric disease.Semantic proximity Read ↗

Decoding the Genetic Comorbidity Network of Alzheimer's DiseaseSemantic proximity Read ↗

Unraveling the Genetic Comorbidity Landscape of Alzheimer’s DiseaseSemantic proximity Read ↗

Interactome mapping suggests new mechanistic details underlying Alzheimer's disease.Semantic proximity Read ↗

Genetics of Alzheimer's Disease: the Importance of Polygenic and Epistatic Components.Semantic proximity Read ↗

Identifying Alzheimer’s disease-related pathways based on whole-genome sequencing dataSemantic proximity Read ↗

Novel Alzheimer’s disease genes and epistasis identified using machine learning GWAS platformSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.