ReviewHuman genetics2012
Challenges and opportunities in genome-wide environmental interaction (GWEI) studies.
Review in Human genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 6 of them syntheses that pooled it.
What it found
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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
82 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Interaction between Genetic Risk Scores for reduced pulmonary function and smoking, asthma and endotoxin.Thorax · 2021Pooled it
- Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits.Nature communications · 2017Pooled it
- Review of the Gene-Environment Interaction Literature in Cancer: What Do We Know?Genetic epidemiology · 2016Pooled it
- An empirical comparison of meta-analysis and mega-analysis of individual participant data for identifying gene-environment interactions.Genetic epidemiology · 2014Pooled it
- A systematic review of cancer GWAS and candidate gene meta-analyses reveals limited overlap but similar effect sizes.European journal of human genetics : EJHG · 2014Pooled it
- A genome-wide association study to identify genetic susceptibility loci that modify ductal and lobular postmenopausal breast cancer risk associated with menopausal hormone therapy use: a two-stage design with replication.Breast cancer research and treatment · 2013Pooled it
- Detecting gene-environment interactions to guide personalized intervention: Boosting distributional regression for polygenic scores.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Article
- Turning heterogeneity of statistical epistasis networks to an advantage.Briefings in bioinformatics · 2026Article
- PIGEON: a statistical framework for estimating gene-environment interaction for polygenic traits.Nature human behaviour · 2025Article
- Air Pollution and Its Impact on Health and Performance in Football Players.Sports (Basel, Switzerland) · 2025Review
- The genetics of fruit skin separation in date palm.BMC plant biology · 2024Article
- SCAMPI: A scalable statistical framework for genome-wide interaction testing harnessing cross-trait correlations.bioRxiv : the preprint server for biology · 2024Article
- The interaction of genetics and physical activity in the pathogenesis of metabolic dysfunction associated liver disease.Scientific reports · 2024Article
- Bayesian Approaches in Exploring Gene-environment and Gene-gene Interactions: A Comprehensive Review.Cancer genomics & proteomics · 2023Review
- Precision pharmacological reversal of strain-specific diet-induced metabolic syndrome in mice informed by epigenetic and transcriptional regulation.PLoS genetics · 2023Article
- Trauma Matters: Integrating Genetic and Environmental Components of PTSD.Advanced genetics (Hoboken, N.J.) · 2023Article
- Genetic and Environmental interactions contribute to immune variation in rewilded mice.bioRxiv : the preprint server for biology · 2023Article
- Social determinants of health and selection bias in genome-wide association studies.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023Article
- A quantile integral linear model to quantify genetic effects on phenotypic variability.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
22 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
8 authors.
Funding
Abstract
The interest in performing gene-environment interaction studies has seen a significant increase with the increase of advanced molecular genetics techniques. Practically, it became possible to investigate the role of environmental factors in disease risk and hence to investigate their role as genetic effect modifiers. The understanding that genetics is important in the uptake and metabolism of toxic substances is an example of how genetic profiles can modify important environmental risk factors to disease. Several rationales exist to set up gene-environment interaction studies and the technical challenges related to these studies-when the number of environmental or genetic risk factors is relatively small-has been described before. In the post-genomic era, it is now possible to study thousands of genes and their interaction with the environment. This brings along a whole range of new challenges and opportunities. Despite a continuing effort in developing efficient methods and optimal bioinformatics infrastructures to deal with the available wealth of data, the challenge remains how to best present and analyze genome-wide environmental interaction (GWEI) studies involving multiple genetic and environmental factors. Since GWEIs are performed at the intersection of statistical genetics, bioinformatics and epidemiology, usually similar problems need to be dealt with as for genome-wide association gene-gene interaction studies. However, additional complexities need to be considered which are typical for large-scale epidemiological studies, but are also related to "joining" two heterogeneous types of data in explaining complex disease trait variation or for prediction purposes.
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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.