ArticleBiometrika2012
Two-stage testing procedures with independent filtering for genome-wide gene-environment interaction.
Article in Biometrika, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
71 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- A meta-analysis approach with filtering for identifying gene-level gene-environment interactions.Genetic epidemiology · 2018Pooled it
- Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies.International journal of environmental research and public health · 2017Pooled it
- Pooled it
- A meta-analytic framework for detection of genetic interactions.Genetic epidemiology · 2016Pooled it
- Quantitative trait loci, G×E and G×G for glycemic traits: response to metformin and placebo in the Diabetes Prevention Program (DPP).Journal of human genetics · 2022Trial
- FCGR2C polymorphisms associate with HIV-1 vaccine protection in RV144 trial.The Journal of clinical investigation · 2014Trial
- CIDER: detecting changes in gene regulatory networks that are associated with changes in phenotype.bioRxiv : the preprint server for biology · 2026Article
- Pathway polygenic risk scores (pPRS) for the analysis of gene-environment interaction.PLoS genetics · 2025Article
- PIGEON: a statistical framework for estimating gene-environment interaction for polygenic traits.Nature human behaviour · 2025Article
- Case-only analysis in small studies of predictive biomarkers.Scientific reports · 2025Article
- High-Dimensional Gene-Environment Interaction Analysis.Annual review of statistics and its application · 2025Article
- Type 2 Diabetes Polygenic Risk Score Interactions with Lifestyle Risk Factors in Black Americans.Lifestyle genomics · 2025Article
- A synthetic data integration framework to leverage external summary-level information from heterogeneous populations.Biometrics · 2023Article
- TNS1 and NRXN1 Genes Interacting With Early-Life Smoking Exposure in Asthma-Plus-Eczema Susceptibility.Allergy, asthma & immunology research · 2023Article
- Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023Article
- Improved two-step testing of genome-wide gene-environment interactions.Genetic epidemiology · 2023Article
- A Bayesian approach to differential edges with probabilistic interactions: applications in association and classification.Bioinformatics advances · 2023Article
- A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables.PLoS genetics · 2022Article
- Complement component C4 structural variation and quantitative traits contribute to sex-biased vulnerability in systemic sclerosis.NPJ genomic medicine · 2022Article
- Two-step hypothesis testing to detect gene-environment interactions in a genome-wide scan with a survival endpoint.Statistics in medicine · 2022Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Several two-stage multiple testing procedures have been proposed to detect gene-environment interaction in genome-wide association studies. In this article, we elucidate general conditions that are required for validity and power of these procedures, and we propose extensions of two-stage procedures using the case-only estimator of gene-treatment interaction in randomized clinical trials. We develop a unified estimating equation approach to proving asymptotic independence between a filtering statistic and an interaction test statistic in a range of situations, including marginal association and interaction in a generalized linear model with a canonical link. We assess the performance of various two-stage procedures in simulations and in genetic studies from Women's Health Initiative clinical trials.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.