ReviewJournal of child psychology and psychiatry, and allied disciplines2013
Gene-environment interactions in genome-wide association studies: current approaches and new directions.
Review in Journal of child psychology and psychiatry, and allied disciplines, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
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Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Credibility of genetic predictors for antiepileptic drug resistance: A systematic Bayesian reappraisal of published meta-analyses.British journal of clinical pharmacology · 2025Pooled it
- Bacterial Extracellular Vesicles in Aging: Mechanisms and Therapeutic Prospects.International journal of nanomedicine · 2026Review
- Variants of the Progesterone Receptor Gene as Modulators of Risk for Idiopathic Spontaneous Premature Birth.International journal of molecular sciences · 2025Article
- Refining the scope of genetic influences on alcohol misuse through environmental stratification and gene-environment interaction.Alcohol, clinical & experimental research · 2024Article
- Genome-Wide Gene-Environment Interaction Analysis Identifies Novel Candidate Variants for Growth Traits in Beef Cattle.Animals : an open access journal from MDPI · 2024Article
- GbyE: an integrated tool for genome widely association study and genome selection based on genetic by environmental interaction.BMC genomics · 2024Article
- Gene-environment interaction analysis under the Cox model.Annals of the Institute of Statistical Mathematics · 2023Article
- Article
- Environmental pathways affecting gene expression (E.PAGE) as an R package to predict gene-environment associations.Scientific reports · 2022Article
- Genome-microbiome interplay provides insight into the determinants of the human blood metabolome.Nature metabolism · 2022Article
- The Impact of ACEs on BMI: An Investigation of the Genotype-Environment Effects of BMI.Frontiers in genetics · 2022Article
- Genome-wide association of single nucleotide polymorphism loci and candidate genes for frogeye leaf spot (Cercospora sojina) resistance in soybean.BMC plant biology · 2021Article
- Suitability of GWAS as a Tool to Discover SNPs Associated with Tick Resistance in Cattle: A Review.Pathogens (Basel, Switzerland) · 2021Review
- A genetic sum score of effect alleles associated with serum lipid concentrations interacts with educational attainment.Scientific reports · 2021Article
- Genome-wide gene-environment interactions in neuroticism: an exploratory study across 25 environments.Translational psychiatry · 2021Article
- Genetic Epidemiology of Complex Phenotypes.Methods in molecular biology (Clifton, N.J.) · 2021Review
- Gene-Environment Interaction: A Variable Selection Perspective.Methods in molecular biology (Clifton, N.J.) · 2021Review
- Genomic resources for dissecting the role of non-protein coding variation in gene-environment interactions.Toxicology · 2020Review
- Identifying novel associations in GWAS by hierarchical Bayesian latent variable detection of differentially misclassified phenotypes.BMC bioinformatics · 2020Article
- A Fast and Accurate Method for Genome-wide Scale Phenome-wide G × E Analysis and Its Application to UK Biobank.American journal of human genetics · 2019Article
Corrections and comments
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2 authors.
Funding
Abstract
backgroundComplex psychiatric traits have long been thought to be the result of a combination of genetic and environmental factors, and gene-environment interactions are thought to play a crucial role in behavioral phenotypes and the susceptibility and progression of psychiatric disorders. Candidate gene studies to investigate hypothesized gene-environment interactions are now fairly common in human genetic research, and with the shift toward genome-wide association studies, genome-wide gene-environment interaction studies are beginning to emerge.
methodsWe summarize the basic ideas behind gene-environment interaction, and provide an overview of possible study designs and traditional analysis methods in the context of genome-wide analysis. We then discuss novel approaches beyond the traditional strategy of analyzing the interaction between the environmental factor and each polymorphism individually.
resultsTwo-step filtering approaches that reduce the number of polymorphisms tested for interactions can substantially increase the power of genome-wide gene-environment studies. New analytical methods including data-mining approaches, and gene-level and pathway-level analyses, also have the capacity to improve our understanding of how complex genetic and environmental factors interact to influence psychologic and psychiatric traits. Such methods, however, have not yet been utilized much in behavioral and mental health research.
conclusionsAlthough methods to investigate gene-environment interactions are available, there is a need for further development and extension of these methods to identify gene-environment interactions in the context of genome-wide association studies. These novel approaches need to be applied in studies of psychology and psychiatry.
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