ArticleGenetic epidemiology2013
Finding novel genes by testing G × E interactions in a genome-wide association study.
Article in Genetic epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 5 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
81 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Genome-wide investigation of exogenous female hormones, genetic variation, and venous thromboembolism risk.Journal of thrombosis and haemostasis : JTH · 2024Pooled it
- Re-analysis and meta-analysis of summary statistics from gene-environment interaction studies.Bioinformatics (Oxford, England) · 2023Pooled it
- Gene-environment interactions and colorectal cancer risk: An umbrella review of systematic reviews and meta-analyses of observational studies.International journal of cancer · 2019Pooled it
- Pooled it
- Genome-wide interaction studies reveal sex-specific asthma risk alleles.Human molecular genetics · 2014Pooled 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
- Nutrigenetic Interactions Might Modulate the Antioxidant and Anti-Inflammatory Status in Mastiha-Supplemented Patients With NAFLD.Frontiers in immunology · 2021Trial
- Genetic risk factors modulate the association between physical activity and colorectal cancer.BMC medicine · 2026Article
- Incorporating additive genetic effects and linkage disequilibrium information to discover gene-environment interactions using BV-LDER-GE.Genome biology · 2025Article
- Genetic risk factors modulate the association between physical activity and colorectal cancer.Research square · 2025Article
- Pathway polygenic risk scores (pPRS) for the analysis of gene-environment interaction.PLoS genetics · 2025Article
- Gene-by-Environment Interactions Involving Maternal Exposures with Orofacial Cleft Risk in Filipinos.Genes · 2025Article
- Recent findings and future directions for the intersection of genetic and environmental contributions to schizophrenia.Genomic psychiatry : advancing science from genes to society · 2025Article
- Sex-Specific Association Between Polymorphisms in Estrogen Receptor Alpha Gene (ESR1) and Depression: A Genome-Wide Association Study of All of Us and UK Biobank Data.Genetic epidemiology · 2025Article
- Gene-environment interactions in human health.Nature reviews. Genetics · 2024Review
- Two genome-wide interaction loci modify the association of nonsteroidal anti-inflammatory drugs with colorectal cancer.Science advances · 2024Article
- LDER-GE estimates phenotypic variance component of gene-environment interactions in human complex traits accurately with GE interaction summary statistics and full LD information.Briefings in bioinformatics · 2024Article
- Genome-Wide Gene-Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024Article
- MRSamePopTest: introducing a simple falsification test for the two-sample mendelian randomisation 'same population' assumption.BMC research notes · 2024Article
- Genome-wide interaction analysis of folate for colorectal cancer risk.The American journal of clinical nutrition · 2023Article
21 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
In a genome-wide association study (GWAS), investigators typically focus their primary analysis on the direct (marginal) associations of each single nucleotide polymorphism (SNP) with the trait. Some SNPs that are truly associated with the trait may not be identified in this scan if they have a weak marginal effect and thus low power to be detected. However, these SNPs may be quite important in subgroups of the population defined by an environmental or personal factor, and may be detectable if such a factor is carefully considered in a gene-environment (G × E) interaction analysis. We address the question "Using a genome wide interaction scan (GWIS), can we find new genes that were not found in the primary GWAS scan?" We review commonly used approaches for conducting a GWIS in case-control studies, and propose a new two-step screening and testing method (EDG×E) that is optimized to find genes with a weak marginal effect. We simulate several scenarios in which our two-step method provides 70-80% power to detect a disease locus while a marginal scan provides less than 5% power. We also provide simulations demonstrating that the EDG×E method outperforms other GWIS approaches (including case only and previously proposed two-step methods) for finding genes with a weak marginal effect. Application of this method to a G × Sex scan for childhood asthma reveals two potentially interesting SNPs that were not identified in the marginal-association scan. We distribute a new software program (G×Escan, available at http://biostats.usc.edu/software) that implements this new method as well as several other GWIS approaches.
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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.