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

Detecting two-locus associations allowing for interactions in genome-wide association studies.

Bioinformatics (Oxford, England) - 15 Oct 2010

Wan Xiang, Yang Can, Yang Qiang, Xue Hong, Tang Nelson L S, Yu Weichuan

Abstract excerpt

MOTIVATION: Genome-wide association studies (GWASs) aim to identify genetic susceptibility to complex diseases by assaying and analyzing hundreds of thousands of single nucleotide polymorphisms (SNPs). Although traditional single-locus statistical tests have identified many genetic determinants of susceptibility, those findings cannot completely explain genetic contributions to complex diseases. Marchini and...

Read the complete abstract on PubMed

Topics

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

Share to Computational Biology
Share to Databases, Genetic

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Genetic Loci

Share to Genome, Human

Share to Genome-Wide Association Study

Share to Macular Degeneration

Share to Parkinson Disease

Share to Phylogeny

Source

Identifiers

PMID: 20736343
DOI: 10.1093/bioinformatics/btq486

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. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Detecting two-locus associations allowing for interactions in genome-wide association studies.PMID 20736343Read ↗

A novel strategy for detecting multiple loci in Genome-Wide Association Studies of complex diseases.Semantic proximity Read ↗

Identification of interacting genes in genome-wide association studies using a model-based two-stage approach.Semantic proximity Read ↗

A powerful and efficient two-stage method for detecting gene-to-gene interactions in GWAS.Semantic proximity Read ↗

RAPID detection of gene-gene interactions in genome-wide association studies.Semantic proximity Read ↗

Searching Genome-Wide Multi-Locus Associations for Multiple Diseases Based on Bayesian Inference.Semantic proximity Read ↗

Comparative analysis of methods for detecting interacting loci.Semantic proximity Read ↗

Detecting genome-wide epistases based on the clustering of relatively frequent items.Semantic proximity Read ↗

A hidden two-locus disease association pattern in genome-wide association studies.Semantic proximity Read ↗

Optimal two-stage strategy for detecting interacting genes in complex diseases.Semantic proximity Read ↗

A Review on Methods for Detecting SNP Interactions in High-Dimensional Genomic Data.Semantic proximity Read ↗

Two-stage two-locus models in genome-wide association.Semantic proximity Read ↗

Detecting gene-gene interactions that underlie human diseases.Semantic proximity Read ↗

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