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

Two-step hypothesis testing to detect gene-environment interactions in a genome-wide scan with a survival endpoint.

Statistics in medicine - 30 Apr 2022

Kawaguchi Eric S, Li Gang, Lewinger Juan Pablo, Gauderman W James

Abstract excerpt

Defined by their genetic profile, individuals may exhibit differential clinical outcomes due to an environmental exposure. Identifying subgroups based on specific exposure-modifying genes can lead to targeted interventions and focused studies. Genome-wide interaction scans (GWIS) can be performed to identify such genes, but these scans typically suffer from low power due to the large multiple testing burden. We...

Read the complete abstract on PubMed

Topics

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

Share to Computer Simulation
Share to Gene-Environment Interaction

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Models, Genetic

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 35075649
DOI: 10.1002/sim.9319
PMCID: PMC9007892

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

Two-step hypothesis testing to detect gene-environment interactions in a genome-wide scan with a survival endpoint.PMID 35075649Read ↗

Case-only genome-wide interaction study of disease risk, prognosis and treatment.Semantic proximity Read ↗

Comparisons of power of statistical methods for gene-environment interaction analyses.Semantic proximity Read ↗

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

Gene--environment-wide association studies: emerging approaches.Semantic proximity Read ↗

Overlapping Group Screening for Detection of Gene-environment Interactions with Application to TCGA High-dimensional Survival Genomic DataSemantic proximity Read ↗

Gene-environment interaction in genome-wide association studies.Semantic proximity Read ↗

Gene set analysis: A step-by-step guide.Semantic proximity Read ↗

Genotype × environment interactions in gene regulation and complex traits.Semantic proximity Read ↗

Improved two-step testing of genome-wide gene-environment interactions.Semantic proximity Read ↗

Review of the Gene-Environment Interaction Literature in Cancer: What Do We Know?Semantic proximity Read ↗

Methods for investigating gene-environment interactions in candidate pathway and genome-wide association studies.Semantic proximity Read ↗

High-throughput allele-specific expression across 250 environmental conditions.Semantic proximity Read ↗

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