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

Explainable artificial intelligence identifies an AQP4 polymorphism-based risk score associated with brain amyloid burden.

Neurobiology of aging - 1 Nov 2024

Beer Simone, Elmenhorst David, Bischof Gerard N, Ramirez Alfredo, Bauer Andreas, Drzezga Alexander

Abstract excerpt

Aquaporin-4 (AQP4) is hypothesized to be a component of the glymphatic system, a pathway for removing brain interstitial solutes like amyloid-β (Aβ). Evidence exists that genetic variation of AQP4 impacts Aβ clearance, clinical outcome in Alzheimer's disease as well as sleep measures. We examined whether a risk score calculated from several AQP4 single-nucleotide polymorphisms (SNPs) is related to Aβ...

Read the complete abstract on PubMed

Topics

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

Share to Alzheimer Disease
Share to Amyloid beta-Peptides

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Aquaporin 4

Share to Artificial Intelligence

Share to Cohort Studies

Share to Machine Learning

Source

Identifiers

PMID: 39208715
DOI: 10.1016/j.neurobiolaging.2024.08.002

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Explainable artificial intelligence identifies an AQP4 polymorphism-based risk score associated with brain amyloid burden.PMID 39208715Read ↗

Explainable artificial intelligence identifies an AQP4 polymorphism-based risk score associated with brain amyloid burdenSemantic proximity Read ↗

Interpretable deep learning framework for understanding molecular changes in human brains with Alzheimer’s disease: implications for microglia activation and sex differencesSemantic proximity Read ↗

The effects of noncoding aquaporin‐4 single‐nucleotide polymorphisms on cognition and functional progression of Alzheimer's diseaseSemantic proximity Read ↗

Aquaporin-4 polymorphisms predict amyloid burden and clinical outcome in the Alzheimer's disease spectrum.Semantic proximity Read ↗

Genetic variation in the glymphatic pathway predicts cognition and neurodegeneration in preclinical Alzheimer's diseaseSemantic proximity Read ↗

New Genetic Loci Discovery for Alzheimer’s Disease Using Explainable Deep Neural NetworksSemantic proximity Read ↗

New genetic loci discovery for Alzheimer’s disease using explainable deep neural networksSemantic proximity Read ↗

Association Between Single Nucleotide Polymorphisms in the Aquaporin-4 Gene and Longitudinal Changes in White Matter Free Water and Cognitive Function in Non-Demented Older Adults.Semantic proximity Read ↗

Amyloid Precursor Protein Processing Links Female Urgency Urinary Incontinence with Alzheimer's Disease: Implications for Treatment.Semantic proximity Read ↗

Agentic Artificial Intelligence-Driven Explainable Deep Learning for Deciphering Noncoding Pathogenic Mechanisms of Delirium Through Genomic Big Data Integration.Semantic proximity Read ↗

Genetic variation in Aquaporin-4 moderates the relationship between sleep and brain Aβ-amyloid burden.Semantic proximity Read ↗

Interpretable deep survival analysis of Alzheimer's disease via metabolic genetic variants.Semantic proximity Read ↗

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