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

Protein-protein interaction network-based integration of GWAS and functional data for blood pressure regulation analysis.

Human genomics - 8 Feb 2024

Tsare Evridiki-Pandora G, Klapa Maria I, Moschonas Nicholas K

Abstract excerpt

BACKGROUND: It is valuable to analyze the genome-wide association studies (GWAS) data for a complex disease phenotype in the context of the protein-protein interaction (PPI) network, as the related pathophysiology results from the function of interacting polyprotein pathways. The analysis may include the design and curation of a phenotype-specific GWAS meta-database incorporating genotypic and eQTL data linking...

Read the complete abstract on PubMed

Topics

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

Share to Blood Pressure
Share to Databases, Factual
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotype

Share to Plasma Membrane Calcium-Transporting ATPases

Share to Protein Interaction Maps

Source

Open in PubMed Open full text

Identifiers

PMID: 38326862
DOI: 10.1186/s40246-023-00565-6
PMCID: PMC11465932

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Protein-protein interaction network-based integration of GWAS and functional data for blood pressure regulation analysis.PMID 38326862Read ↗

PANOGA: a web server for identification of SNP-targeted pathways from genome-wide association study data.Semantic proximity Read ↗

Identification of Circulating Proteins Associated With Blood Pressure.Semantic proximity Read ↗

Integrative Genomics Analysis Unravels Tissue-Specific Pathways, Networks, and Key Regulators of Blood Pressure RegulationSemantic proximity Read ↗

The NHGRI-EBI GWAS Catalog, a curated resource of SNP-trait associationsSemantic proximity Read ↗

Genome-wide Association Study Of Plasma Proteins Identifies Putatively Causal Genes, Proteins, And Pathways For Cardiovascular DiseaseSemantic proximity Read ↗

Protein interaction-based genome-wide analysis of incident coronary heart disease.Semantic proximity Read ↗

From SNPs to pathways: Biological interpretation of type 2 diabetes (T2DM) genome wide association study (GWAS) results.Semantic proximity Read ↗

A methodology for gene level omics-WAS integration identifies genes influencing traits associated with cardiovascular risks: the Long Life Family Study.Semantic proximity Read ↗

Integrative network analysis reveals molecular mechanisms of blood pressure regulation.Semantic proximity Read ↗

Protein-protein interactions shape trans-regulatory impact of genetic variation on protein expression and complex traits.Semantic proximity Read ↗

Integration of genetic fine-mapping and multi-omics data reveals candidate effector genes for hypertension.Semantic proximity Read ↗

GWASdb v2: an update database for human genetic variants identified by genome-wide association studies.Semantic proximity Read ↗

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