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

Exhaustive Genome-Wide Search for SNP-SNP Interactions Across 10 Human Diseases.

G3 (Bethesda, Md.) - 7 Jul 2016

Murk William, DeWan Andrew T

Abstract excerpt

The identification of statistical SNP-SNP interactions may help explain the genetic etiology of many human diseases, but exhaustive genome-wide searches for these interactions have been difficult, due to a lack of power in most datasets. We aimed to use data from the Resource for Genetic Epidemiology Research on Adult Health and Aging (GERA) study to search for SNP-SNP interactions associated with 10 common...

Read the complete abstract on PubMed

Topics

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

Share to Datasets as Topic
Share to Depression
Share to Dyslipidemias

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

Share to Epistasis, Genetic

Share to Heart Diseases

Share to Osteoarthritis

Share to Rhinitis, Allergic

Source

Open in PubMed Open full text

Identifiers

PMID: 27185397
DOI: 10.1534/g3.116.028563
PMCID: PMC4938657

Genes

MAF

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

Exhaustive Genome-Wide Search for SNP-SNP Interactions Across 10 Human Diseases.PMID 27185397Read ↗

Gene-Gene and Gene-Environment Interactions.Semantic proximity Read ↗

The SNPcurator: literature mining of enriched SNP-disease associations.Semantic proximity Read ↗

Identifying gene-gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts.Semantic proximity Read ↗

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

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

Performing post-genome-wide association study analysis: overview, challenges and recommendationsSemantic proximity Read ↗

An exhaustive epistatic SNP association analysis on expanded Wellcome Trust data.Semantic proximity Read ↗

An Overview of Genome-Wide Association Studies.Semantic proximity Read ↗

AA9int: SNP interaction pattern search using non-hierarchical additive model set.Semantic proximity Read ↗

A comprehensive review of genetic association studies.Semantic proximity Read ↗

GEM: Scalable and flexible gene-environment interaction analysis in millions of samplesSemantic proximity Read ↗

Novel Methods for Epistasis Detection in Genome-Wide Association StudiesSemantic proximity Read ↗

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