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

A global test for gene-gene interactions based on random matrix theory.

Genetic epidemiology - 1 Dec 2016

Frost H Robert, Amos Christopher I, Moore Jason H

Abstract excerpt

Statistical interactions between markers of genetic variation, or gene-gene interactions, are believed to play an important role in the etiology of many multifactorial diseases and other complex phenotypes. Unfortunately, detecting gene-gene interactions is extremely challenging due to the large number of potential interactions and ambiguity regarding marker coding and interaction scale. For many data sets, there...

Read the complete abstract on PubMed

Topics

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

Share to Arthritis, Rheumatoid
Share to Breast Neoplasms
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Diabetes Mellitus, Type 2

Share to Epistasis, Genetic

Share to Genetic Markers

Share to Glaucoma

Share to Models, Genetic

Source

Open in PubMed Open full text

Identifiers

PMID: 27386793
DOI: 10.1002/gepi.21990
PMCID: PMC5132142

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

A global test for gene-gene interactions based on random matrix theory.PMID 27386793Read ↗

A hybrid framework for genome wide epistasis discovery.Semantic proximity Read ↗

Omnibus testing approach for gene-based gene-gene interaction.Semantic proximity Read ↗

COMBAT: A Combined Association Test for Genes Using Summary Statistics.Semantic proximity Read ↗

Genome-wide genetic interaction analysis of glaucoma using expert knowledge derived from human phenotype networks.Semantic proximity Read ↗

Efficient two-step testing of gene-gene interactions in genome-wide association studies.Semantic proximity Read ↗

Gene-based testing of interactions in association studies of quantitative traits.Semantic proximity Read ↗

TSGSIS: a high-dimensional grouped variable selection approach for detection of whole-genome SNP-SNP interactions.Semantic proximity Read ↗

A gene-based information gain method for detecting gene-gene interactions in case-control studies.Semantic proximity Read ↗

Analysis of gene-gene interactions using gene-trait similarity regression.Semantic proximity Read ↗

A robust association test with multiple genetic variants and covariates.Semantic proximity Read ↗

Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reductionSemantic proximity Read ↗

A joint regression analysis for genetic association studies with outcome stratified samples.Semantic proximity Read ↗

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