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

Network propagation of rare variants in Alzheimer's disease reveals tissue-specific hub genes and communities.

PLoS computational biology - 1 Jan 2021

Scelsi Marzia Antonella, Napolioni Valerio, Greicius Michael D, Altmann Andre

Abstract excerpt

State-of-the-art rare variant association testing methods aggregate the contribution of rare variants in biologically relevant genomic regions to boost statistical power. However, testing single genes separately does not consider the complex interaction landscape of genes, nor the downstream effects of non-synonymous variants on protein structure and function. Here we present the NETwork Propagation-based...

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 Cognitive Dysfunction

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Regulatory Networks

Share to Genetic Variation

Share to Genomics

Share to Organ Specificity

Share to Whole Genome Sequencing

Source

Open in PubMed Open full text

Identifiers

PMID: 33411734
DOI: 10.1371/journal.pcbi.1008517
PMCID: PMC7817020

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

Network propagation of rare variants in Alzheimer's disease reveals tissue-specific hub genes and communities.PMID 33411734Read ↗

Network propagation of rare mutations in Alzheimer’s disease reveals tissue-specific hub genes and communitiesSemantic proximity Read ↗

Predictive network analysis identifies JMJD6 and other potential key drivers in Alzheimer’s diseaseSemantic proximity Read ↗

Interpretable deep learning translation of GWAS and multi-omics findings to identify pathobiology and drug repurposing in Alzheimer’s diseaseSemantic proximity Read ↗

Changes in expression of VGF, SPECC1L, HLA-DRA and RANBP3L act with APOE E4 to alter risk for late onset Alzheimer's disease.Semantic proximity Read ↗

The Human Brainome: changes in expression of VGF, SPECC1L, HLA-DRA and RANBP3L act with APOE E4 to alter risk for late onset Alzheimer’s diseaseSemantic proximity Read ↗

The impact of genetic risk for Alzheimer’s disease on the structural brain networks of young adultsSemantic proximity Read ↗

Selective vulnerability and resilience to Alzheimer’s disease tauopathy as a function of genes and the connectomeSemantic proximity Read ↗

Predicting the prevalence of complex genetic diseases from individual genotype profiles using capsule networksSemantic proximity Read ↗

Identification of risk genes for Alzheimer’s disease by gene embeddingSemantic proximity Read ↗

Transcriptional Network Dysregulation in Alzheimer’s Disease Revealed by Individual-Specific Gene Regulatory ModelsSemantic proximity Read ↗

A Network-based Deep Learning Framework Catalyzes GWAS and Multi-Omics Findings to Biology and Drug Repurposing for Alzheimer’s DiseaseSemantic proximity Read ↗

Single-cell polygenic risk scores dissect cellular and molecular heterogeneity of complex human diseases.Semantic proximity Read ↗

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