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

Bayesian inference of epistatic interactions in case-control studies.

Nature genetics - 1 Sept 2007

Zhang Yu, Liu Jun S

Abstract excerpt

Epistatic interactions among multiple genetic variants in the human genome may be important in determining individual susceptibility to common diseases. Although some existing computational methods for identifying genetic interactions have been effective for small-scale studies, we here propose a method, denoted 'bayesian epistasis association mapping' (BEAM), for genome-wide case-control studies. BEAM treats the...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Bayes Theorem
Share to Epistasis, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome, Human

Share to Linkage Disequilibrium

Share to Logistic Models

Share to Macular Degeneration

Share to Monte Carlo Method

Source

Identifiers

PMID: 17721534
DOI: 10.1038/ng2110

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

Bayesian inference of epistatic interactions in case-control studies.PMID 17721534Read ↗

Epistatic module detection for case-control studies: a Bayesian model with a Gibbs sampling strategy.Semantic proximity Read ↗

Genetic studies of complex human diseases: characterizing SNP-disease associations using Bayesian networks.Semantic proximity Read ↗

A Bayesian Partitioning Model for the Detection of Multilocus Effects in Case-Control Studies.Semantic proximity Read ↗

Detecting epistatic SNPs associated with complex diseases via a Bayesian classification tree search method.Semantic proximity Read ↗

Identifying genetic interactions in genome-wide data using Bayesian networks.Semantic proximity Read ↗

A biobank-scale test of marginal epistasis reveals genome-wide signals of polygenic epistasisSemantic proximity Read ↗

A Bayesian clustering approach for detecting gene-gene interactions in high-dimensional genotype data.Semantic proximity Read ↗

Efficient Bayesian approach for multilocus association mapping including gene-gene interactions.Semantic proximity Read ↗

Multiple SNP Set Analysis for Genome-Wide Association Studies Through Bayesian Latent Variable Selection.Semantic proximity Read ↗

A fast algorithm for learning epistatic genomic relationships.Semantic proximity Read ↗

Sparse modeling of interactions enables fast detection of genome-wide epistasis in biobank-scale studiesSemantic proximity Read ↗

Cuckoo search epistasis: a new method for exploring significant genetic interactions.Semantic proximity Read ↗

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