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

Weighted Interaction SNP Hub (WISH) network method for building genetic networks for complex diseases and traits using whole genome genotype data.

BMC systems biology - 1 Jan 2014

Kogelman Lisette J A, Kadarmideen Haja N

Abstract excerpt

BACKGROUND: High-throughput genotype (HTG) data has been used primarily in genome-wide association (GWA) studies; however, GWA results explain only a limited part of the complete genetic variation of traits. In systems genetics, network approaches have been shown to be able to identify pathways and their underlying causal genes to unravel the biological and genetic background of complex diseases and traits, e.g.,...

Read the complete abstract on PubMed

Topics

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

Share to Disease
Share to Epistasis, Genetic
Share to Gene Regulatory Networks

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Markers

Share to Genomics

Share to Genotype

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 25032480
DOI: 10.1186/1752-0509-8-S2-S5
PMCID: PMC4101698

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

Weighted Interaction SNP Hub (WISH) network method for building genetic networks for complex diseases and traits using whole genome genotype data.PMID 25032480Read ↗

A Weighted SNP Correlation Network Method for Estimating Polygenic Risk Scores.Semantic proximity Read ↗

WISH-R- a fast and efficient tool for construction of epistatic networks for complex traits and diseases.Semantic proximity Read ↗

Protocol for Construction of Genome-Wide Epistatic SNP Networks Using WISH-R Package.Semantic proximity Read ↗

Network-based SNP meta-analysis identifies joint and disjoint genetic features across common human diseases.Semantic proximity Read ↗

Identification of common regulators of genes in co-expression networks affecting muscle and meat properties.Semantic proximity Read ↗

Constructing genotype and phenotype network helps reveal disease heritability and phenome-wide association studiesSemantic proximity Read ↗

Characterizing genetic interactions in human disease association studies using statistical epistasis networks.Semantic proximity Read ↗

Constructing genotype and phenotype network helps revealSemantic proximity Read ↗

Complex-disease networks of trait-associated single-nucleotide polymorphisms (SNPs) unveiled by information theory.Semantic proximity Read ↗

Constructing genotype and phenotype network helps reveal disease heritability and phenome-wide association studies.Semantic proximity Read ↗

Network models of genome-wide association studies uncover the topological centrality of protein interactions in complex diseases.Semantic proximity Read ↗

Disease-driven detection of differential inherited SNP modules from SNP network.Semantic proximity Read ↗

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