ReviewAmerican journal of epidemiology2017
Lessons Learned From Past Gene-Environment Interaction Successes.
Review in American journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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
39 citing papers in PubMed.
- Methods for modeling gene-environment interplay using polygenic risk scores.Statistical applications in genetics and molecular biology · 2026Review
- Combining cross-sectional and longitudinal genomic approaches to identify determinants of cognitive and physical decline.Nature communications · 2025Article
- Efficient and accurate framework for genome-wide gene-environment interaction analysis in large-scale biobanks.Nature communications · 2025Article
- Ethical, Legal, and Social Implications of Gene-Environment Interaction Research.Genetic epidemiology · 2025Review
- Conceptual frameworks for the integration of genetic and social epidemiology in complex diseases.Global epidemiology · 2024Article
- Gene-environment interactions in human health.Nature reviews. Genetics · 2024Review
- Accounting for genetic effect heterogeneity in fine-mapping and improving power to detect gene-environment interactions with SharePro.Nature communications · 2024Article
- Gene-environment interactions within a precision environmental health framework.Cell genomics · 2024Review
- Joint associations between established genetic susceptibility loci, pesticide exposures, and risk of prostate cancer.Environmental research · 2023Article
- Using epigenomics to understand cellular responses to environmental influences in diseases.PLoS genetics · 2023Review
- Article
- Characterization of population variability of 1,3-butadiene derived protein adducts in humans and mice.Regulatory toxicology and pharmacology : RTP · 2022Article
- Social Determinants of Health Factors for Gene-Environment COVID-19 Research: Challenges and Opportunities.Advanced genetics (Hoboken, N.J.) · 2022Article
- Interaction between genetics and smoking in determining risk of coronary artery diseases.Genetic epidemiology · 2022Article
- The EXIMIOUS project-Mapping exposure-induced immune effects: connecting the exposome and the immunome.Environmental epidemiology (Philadelphia, Pa.) · 2022Article
- Modeling Interaction and Dispersion Effects in the Analysis of Gene-by-Environment Interaction.Behavior genetics · 2022Article
- Precision Medicine on the Fly: Using Drosophila to Decipher Gene-Environment Interactions in Parkinson's Disease.Toxicological sciences : an official journal of the Society of Toxicology · 2021Article
- Genome-Wide Gene-by-Smoking Interaction Study of Chronic Obstructive Pulmonary Disease.American journal of epidemiology · 2021Article
- Opportunities for Gene and Environment Research in Cancer: An Updated Review of NCI's Extramural Grant Portfolio.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021Review
- SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based Gene-Environment Interaction Tests in Biobank Data.Frontiers in genetics · 2021Article
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Authors and funding
9 authors.
Funding
Abstract
Genetic and environmental factors are both known to contribute to susceptibility to complex diseases. Therefore, the study of gene-environment interaction (G×E) has been a focus of research for several years. In this article, select examples of G×E from the literature are described to highlight different approaches and underlying principles related to the success of these studies. These examples can be broadly categorized as studies of single metabolism genes, genes in complex metabolism pathways, ranges of exposure levels, functional approaches and model systems, and pharmacogenomics. Some studies illustrated the success of studying exposure metabolism for which candidate genes can be identified. Moreover, some G×E successes depended on the availability of high-quality exposure assessment and longitudinal measures, study populations with a wide range of exposure levels, and the inclusion of ethnically and geographically diverse populations. In several examples, large population sizes were required to detect G×Es. Other examples illustrated the impact of accurately defining scale of the interactions (i.e., additive or multiplicative). Last, model systems and functional approaches provided insights into G×E in several examples. Future studies may benefit from these lessons learned.
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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.