ArticleAmerican journal of epidemiology2012
Invited commentary: GE-Whiz! Ratcheting gene-environment studies up to the whole genome and the whole exposome.
Article in American journal of epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis 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
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Progress in Characterizing the Human Exposome: a Key Step for Precision Medicine.Yearbook of medical informatics · 2020Article
- Gene-Environment Interactions in Psychiatry: Recent Evidence and Clinical Implications.Current psychiatry reports · 2019Review
- Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases.American journal of epidemiology · 2017Article
- Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017Review
- Associations between serotonin transporter and behavioral traits and diagnoses related to anxiety.Psychiatry research · 2017Article
- What Does "Precision Medicine" Have to Say About Prevention?Epidemiology (Cambridge, Mass.) · 2017Article
- Genome-wide Association Study of Susceptibility to Particulate Matter-Associated QT Prolongation.Environmental health perspectives · 2017Article
- Commentary: Fundamental problems with candidate gene-by-environment interaction studies - reflections on Moore and Thoemmes (2016).Journal of child psychology and psychiatry, and allied disciplines · 2017Article
- Resolving the etiology of atopic disorders by using genetic analysis of racial ancestry.The Journal of allergy and clinical immunology · 2016Review
- Opportunities and challenges of big data for the social sciences: The case of genomic data.Social science research · 2016Article
- Analytical Complexity in Detection of Gene Variant-by-Environment Exposure Interactions in High-Throughput Genomic and Exposomic Research.Current environmental health reports · 2016Review
- Tests for Gene-Environment Interactions and Joint Effects With Exposure Misclassification.American journal of epidemiology · 2016Article
- A Framework for Interpreting Type I Error Rates from a Product-Term Model of Interaction Applied to Quantitative Traits.Genetic epidemiology · 2016Article
- Mapping asthma-associated variants in admixed populations.Frontiers in genetics · 2015Review
- Candidate gene-environment interaction research: reflections and recommendations.Perspectives on psychological science : a journal of the Association for Psychological Science · 2015Review
- Lack of replication of the GRIN2A-by-coffee interaction in Parkinson disease.PLoS genetics · 2014Article
- Article
- Is the gene-environment interaction paradigm relevant to genome-wide studies? The case of education and body mass index.Demography · 2014Article
- Identification of new genetic susceptibility loci for breast cancer through consideration of gene-environment interactions.Genetic epidemiology · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
One goal in the post-genome-wide association study era is characterizing gene-environment interactions, including scanning for interactions with all available polymorphisms, not just those showing significant main effects. In recent years, several approaches to such "gene-environment-wide interaction studies" have been proposed. Two contributions in this issue of the American Journal of Epidemiology provide systematic comparisons of the performance of these various approaches, one based on simulation and one based on application to 2 real genome-wide association study scans for type 2 diabetes. The authors discuss some of the broader issues raised by these contributions, including the plausibility of the gene-environment independence assumption that some of these approaches rely upon, the need for replication, and various generalizations of these approaches.
Indexed as
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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.