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

Highly interconnected genes in disease-specific networks are enriched for disease-associated polymorphisms.

Genome biology - 15 Jun 2012

Barrenäs Fredrik, Chavali Sreenivas, Alves Alexessander Couto, Coin Lachlan, Jarvelin Marjo-Riitta, Jörnsten Rebecka, Langston Michael A, Ramasamy Adaikalavan, Rogers Gary, Wang Hui, Benson Mikael

Abstract excerpt

BACKGROUND: Complex diseases are associated with altered interactions between thousands of genes. We developed a novel method to identify and prioritize disease genes, which was generally applicable to complex diseases. RESULTS: We identified modules of highly interconnected genes in disease-specific networks derived from integrating gene-expression and protein interaction data. We examined if those modules were...

Read the complete abstract on PubMed

Topics

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

Share to Databases, Genetic
Share to Fibroblast Growth Factor 2

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Gene Regulatory Networks

Share to Genetic Pleiotropy

Share to Inflammation

Share to Protein Interaction Maps

Share to Rhinitis, Allergic, Seasonal

Share to RNA, Small Interfering

Source

Open in PubMed Open full text

Identifiers

PMID: 22703998
DOI: 10.1186/gb-2012-13-6-r46
PMCID: PMC3446318

Genes

FGF2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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

Highly interconnected genes in disease-specific networks are enriched for disease-associated polymorphisms.PMID 22703998Read ↗

A systems genomics approach to uncover patient-specific pathogenic pathways and proteins in a complex diseaseSemantic proximity Read ↗

Enabling Precision Medicine through Integrative Network Models.Semantic proximity Read ↗

A network-based approach for isolating the chronic inflammation gene signatures underlying complex diseases towards finding new treatment opportunitiesSemantic proximity Read ↗

Comparative genomic analysis reveals shared and distinct mechanisms of nasal polyps and chronic rhinosinusitisSemantic proximity Read ↗

Network medicine approaches to the genetics of complex diseases.Semantic proximity Read ↗

Identification of Novel Genome-Wide Associations for Oral Inflammatory TraitsSemantic proximity Read ↗

An integrative modular approach to systematically predict gene-phenotype associations.Semantic proximity Read ↗

Network properties of complex human disease genes identified through genome-wide association studies.Semantic proximity Read ↗

Genetic and functional characterization of disease associations explains comorbidity.Semantic proximity Read ↗

Gene behaviors-based network enrichment analysis and its application to reveal immune disease pathways enriched with COVID-19 severity-specific gene networksSemantic proximity Read ↗

Integrative weighted molecular network construction from transcriptomics and genome wide association data to identify shared genetic biomarkers for COPD and lung cancerSemantic proximity Read ↗

Integrated genome-wide association, coexpression network, and expression single nucleotide polymorphism analysis identifies novel pathway in allergic rhinitis.Semantic proximity Read ↗

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