ArticlePLoS genetics2010
Gene-environment interactions at nucleotide resolution.
Article in PLoS genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis 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.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis identifies gene-by-environment interactions as demonstrated in a study of 4,965 mice.PLoS genetics · 2014Pooled it
- A Novel Mapping Strategy Utilizing Mouse Chromosome Substitution Strains Identifies Multiple Epistatic Interactions That Regulate Complex Traits.G3 (Bethesda, Md.) · 2020Article
- Article
- Dissection of the molecular bases of genotype x environment interactions: a study of phenotypic plasticity of Saccharomyces cerevisiae in grape juices.BMC genomics · 2018Article
- Assigning function to natural allelic variation via dynamic modeling of gene network induction.Molecular systems biology · 2018Article
- 2D association and integrative omics analysis in rice provides systems biology view in trait analysis.Communications biology · 2018Article
- Widespread epistasis regulates glucose homeostasis and gene expression.PLoS genetics · 2017Article
- The Genomic Architecture of Interactions Between Natural Genetic Polymorphisms and Environments in Yeast Growth.Genetics · 2017Article
- Gene-Environment Interactions in Stress Response Contribute Additively to a Genotype-Environment Interaction.PLoS genetics · 2016Article
- Mitonuclear Epistasis for Development Time and Its Modification by Diet in Drosophila.Genetics · 2016Article
- Multi-locus Genotypes Underlying Temperature Sensitivity in a Mutationally Induced Trait.PLoS genetics · 2016Article
- Population perspectives on functional genomic variation in yeast.Briefings in functional genomics · 2016Review
- Higher-order genetic interactions and their contribution to complex traits.Trends in genetics : TIG · 2015Review
- Single nucleotide variants in transcription factors associate more tightly with phenotype than with gene expression.PLoS genetics · 2014Article
- Expression quantitative trait analyses to identify causal genetic variants for type 2 diabetes susceptibility.World journal of diabetes · 2014Review
- Causes and consequences of genetic background effects illuminated by integrative genomic analysis.Genetics · 2014Article
- Article
- Divergence in a master variator generates distinct phenotypes and transcriptional responses.Genes & development · 2014Article
- Yeast growth plasticity is regulated by environment-specific multi-QTL interactions.G3 (Bethesda, Md.) · 2014Article
- Does your gene need a background check? How genetic background impacts the analysis of mutations, genes, and evolution.Trends in genetics : TIG · 2013Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Interactions among genes and the environment are a common source of phenotypic variation. To characterize the interplay between genetics and the environment at single nucleotide resolution, we quantified the genetic and environmental interactions of four quantitative trait nucleotides (QTN) that govern yeast sporulation efficiency. We first constructed a panel of strains that together carry all 32 possible combinations of the 4 QTN genotypes in 2 distinct genetic backgrounds. We then measured the sporulation efficiencies of these 32 strains across 8 controlled environments. This dataset shows that variation in sporulation efficiency is shaped largely by genetic and environmental interactions. We find clear examples of QTN:environment, QTN: background, and environment:background interactions. However, we find no QTN:QTN interactions that occur consistently across the entire dataset. Instead, interactions between QTN only occur under specific combinations of environment and genetic background. Thus, what might appear to be a QTN:QTN interaction in one background and environment becomes a more complex QTN:QTN:environment:background interaction when we consider the entire dataset as a whole. As a result, the phenotypic impact of a set of QTN alleles cannot be predicted from genotype alone. Our results instead demonstrate that the effects of QTN and their interactions are inextricably linked both to genetic background and to environmental variation.
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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.