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 unified set-based test with adaptive filtering for gene-environment interaction analyses.

Biometrics - 1 Jun 2016

Liu Qianying, Chen Lin S, Nicolae Dan L, Pierce Brandon L

Abstract excerpt

In genome-wide gene-environment interaction (GxE) studies, a common strategy to improve power is to first conduct a filtering test and retain only the SNPs that pass the filtering in the subsequent GxE analyses. Inspired by two-stage tests and gene-based tests in GxE analysis, we consider the general problem of jointly testing a set of parameters when only a few are truly from the alternative hypothesis and when...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Biometry
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Data Interpretation, Statistical

Share to Gene-Environment Interaction

Share to Models, Statistical

Share to Pancreatic Neoplasms

Share to Sex Factors

Source

Open in PubMed Open full text

Identifiers

PMID: 26496228
DOI: 10.1111/biom.12428
PMCID: PMC4842175

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 unified set-based test with adaptive filtering for gene-environment interaction analyses.PMID 26496228Read ↗

A meta-analysis approach with filtering for identifying gene-level gene-environment interactions.Semantic proximity Read ↗

Powerful Set-Based Gene-Environment Interaction Testing Framework for Complex Diseases.Semantic proximity Read ↗

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

SBERIA: set-based gene-environment interaction test for rare and common variants in complex diseases.Semantic proximity Read ↗

A two-stage testing strategy for detecting genes×environment interactions in association studies.Semantic proximity Read ↗

Boosting signals in gene-based association studies via efficient SNP selection.Semantic proximity Read ↗

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

On the utility of gene set methods in genomewide association studies of quantitative traits.Semantic proximity Read ↗

Correction for multiple testing in a gene region.Semantic proximity Read ↗

Gene set analysis of genome-wide association studies: methodological issues and perspectives.Semantic proximity Read ↗

Two-stage analysis for gene-environment interaction utilizing both case-only and family-based analysis.Semantic proximity Read ↗

Test for interactions between a genetic marker set and environment in generalized linear models.Semantic proximity Read ↗

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