ReviewAnnual review of public health2010
Methods for investigating gene-environment interactions in candidate pathway and genome-wide association studies.
Review in Annual review of public health, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 3 of them syntheses that pooled it.
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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
89 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Genome-wide gene-sleep interaction study identifies novel lipid loci in 732,564 participants.Atherosclerosis · 2026Pooled it
- Transferring entropy to the realm of GxG interactions.Briefings in bioinformatics · 2018Pooled it
- The NOD2-Smoking Interaction in Crohn's Disease is likely Specific to the 1007fs Mutation and may be Explained by Age at Diagnosis: A Meta-Analysis and Case-Only Study.EBioMedicine · 2017Pooled it
- A Likelihood Approach to Proper Analysis of Secondary Outcomes in Matched Case-Control Studies.Biometrical journal. Biometrische Zeitschrift · 2026Article
- Polygenic predisposition modifies the associations of fish oil supplementation with circulating omega-3 fatty acids: a cross-sectional gene-diet interaction study in UK Biobank.medRxiv : the preprint server for health sciences · 2026Article
- Associations of vegetarianism with circulating lipids across varying genetic capacity: a cross-sectional Polygenic Score-by-Vegetarianism interaction study in UK Biobank.medRxiv : the preprint server for health sciences · 2026Article
- Methods for modeling gene-environment interplay using polygenic risk scores.Statistical applications in genetics and molecular biology · 2026Review
- Ethnic genomic differences in esophageal squamous cell carcinoma: Whole-exome sequencing of Han and Kazakh populations in China.World journal of gastroenterology · 2025Article
- Efficient and accurate framework for genome-wide gene-environment interaction analysis in large-scale biobanks.Nature communications · 2025Article
- Understanding and applying gene-environment interactions: a guide for nutrition professionals with an emphasis on integration in African research settings.Nutrition reviews · 2025Review
- The PRIMED Consortium: Reducing disparities in polygenic risk assessment.American journal of human genetics · 2024Article
- Epigenetic modifications in the development of bronchopulmonary dysplasia: a review.Pediatric research · 2024Review
- Association of hypertension and depression with mortality: an exploratory study with interaction and mediation models.BMC public health · 2024Article
- A Varying Coefficient Model to Jointly Test Genetic and Gene-Environment Interaction Effects.Behavior genetics · 2023Article
- A Genome-Wide Association Study and Genomic Prediction for Fiber and Sucrose Contents in a Mapping Population of LCP 85-384 Sugarcane.Plants (Basel, Switzerland) · 2023Article
- A tree-based gene-environment interaction analysis with rare features.Statistical analysis and data mining · 2022Article
- High-Resolution Digital Phenotypes From Consumer Wearables and Their Applications in Machine Learning of Cardiometabolic Risk Markers: Cohort Study.Journal of medical Internet research · 2022Article
- Genome-wide variance quantitative trait locus analysis suggests small interaction effects in blood pressure traits.Scientific reports · 2022Article
- GEM: scalable and flexible gene-environment interaction analysis in millions of samples.Bioinformatics (Oxford, England) · 2021Article
- Three-way interaction effects of early life stress, positive parenting and FKBP5 in the development of depressive symptoms in a general population.Journal of neural transmission (Vienna, Austria : 1996) · 2021Article
29 more citing papers are in PubMed but not listed here.
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Abstract
Despite the considerable enthusiasm about the yield of novel and replicated discoveries of genetic associations from the new generation of genome-wide association studies (GWAS), the proportion of the heritability of most complex diseases that have been studied to date remains small. Some of this "dark matter" could be due to gene-environment (G x E) interactions or more complex pathways involving multiple genes and exposures. We review the basic epidemiologic study design and statistical analysis approaches to studying G x E interactions individually and then consider more comprehensive approaches to studying entire pathways or GWAS data. In addition to the usual issues in genetic association studies, particular care is needed in exposure assessment, and very large sample sizes are required. Although hypothesis-driven, pathway-based and agnostic GWA study approaches are generally viewed as opposite poles, we suggest that the two can be usefully married using hierarchical modeling strategies that exploit external pathway knowledge in mining genome-wide data.
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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.