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

Walking the interactome for prioritization of candidate disease genes.

American journal of human genetics - 1 Apr 2008

Köhler Sebastian, Bauer Sebastian, Horn Denise, Robinson Peter N

Abstract excerpt

The identification of genes associated with hereditary disorders has contributed to improving medical care and to a better understanding of gene functions, interactions, and pathways. However, there are well over 1500 Mendelian disorders whose molecular basis remains unknown. At present, methods such as linkage analysis can identify the chromosomal region in which unknown disease genes are located, but the...

Read the complete abstract on PubMed

Topics

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

Share to Chromosome Mapping
Share to Computational Biology
Share to Databases, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Diseases, Inborn

Share to Genetic Linkage

Share to Internet

Share to Protein Interaction Mapping

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 18371930
DOI: 10.1016/j.ajhg.2008.02.013
PMCID: PMC2427257

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

Walking the interactome for prioritization of candidate disease genes.PMID 18371930Read ↗

Walking on multiple disease-gene networks to prioritize candidate genes.Semantic proximity Read ↗

Prioritization of potential candidate disease genes by topological similarity of protein-protein interaction network and phenotype data.Semantic proximity Read ↗

Reconstruction of a functional human gene network, with an application for prioritizing positional candidate genes.Semantic proximity Read ↗

Prioritization of orphan disease-causing genes using topological feature and GO similarity between proteins in interaction networks.Semantic proximity Read ↗

Interactogeneous: Disease Gene Prioritization Using Heterogeneous Networks and Full Topology ScoresSemantic proximity Read ↗

Network analysis of differential expression for the identification of disease-causing genes.Semantic proximity Read ↗

GenePANDA-a novel network-based gene prioritizing tool for complex diseases.Semantic proximity Read ↗

Constructing a gene semantic similarity network for the inference of disease genes.Semantic proximity Read ↗

Exploiting protein-protein interaction networks for genome-wide disease-gene prioritization.Semantic proximity Read ↗

Prioritizing disease candidate genes by a gene interconnectedness-based approachSemantic proximity Read ↗

Prioritisation of associations between protein domains and complex diseases using domain-domain interaction networks.Semantic proximity Read ↗

Network-based interpretation of genomic variation data.Semantic proximity Read ↗

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