ArticleCell genomics2023
Gene-by-environment interactions are pervasive among natural genetic variants.
Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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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.
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Who cites it
18 citing papers in PubMed, 24 citations in OpenAlex.
- Evolutionary adaptation proceeds through a small number of phenotypic modules.Molecular biology and evolution · 2026Article
- Molecular evolution in light of regulatory-coding epistasis.EMBO reports · 2026Review
- Population-scale chemical response revealed by a barcoded yeast collection.Nature communications · 2026Article
- Discovery and characterization of gene-by-environment and epistatic genetic effects in a vertebrate model.Cell genomics · 2026Article
- High-resolution genotype-free mapping of genetic variation with CRI-SPA-Map.Genome research · 2026Article
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- Implications of Genetic Elements on Type 2 Diabetes Mellitus Pathogenesis and Management.Endocrinology, diabetes & metabolism · 2026Review
- In silico genome transplants and the cis-regulatory basis of biodiversity.Trends in genetics : TIG · 2026Review
- Experimental evolution in an era of molecular manipulation.Nature reviews. Genetics · 2026Review
- Article
- Environment-by-Environment Interactions Differ Across Genetic Backgrounds.Molecular biology and evolution · 2025Article
- High-resolution, genotype-free mapping of genetic variation with CRI-SPA-Map.bioRxiv : the preprint server for biology · 2025Article
- Gene-by-environment Interactions and Adaptive Body Size Variation in Mice From the Americas.Molecular biology and evolution · 2025Article
- Exploring genetic susceptibility to air pollution and its implications for disease risk and precision health: A scoping review.AIMS public health · 2025Review
- Plasticity and environment-specific relationships between gene expression and fitness in Saccharomyces cerevisiae.Nature ecology & evolution · 2024Article
- Plasticity and environment-specific relationships between gene expression and fitness inbioRxiv : the preprint server for biology · 2024Article
- Cell perturbation and lasers illuminate the genetics of latent blood cell traits.Nature genetics · 2024Article
- Widespread epistasis among beneficial genetic variants revealed by high-throughput genome editing.Cell genomics · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Gene-by-environment (GxE) interactions, in which a genetic variant's phenotypic effect is condition specific, are fundamental for understanding fitness landscapes and evolution but have been difficult to identify at the single-nucleotide level. Although many condition-specific quantitative trait loci (QTLs) have been mapped, these typically contain numerous inconsequential variants in linkage, precluding understanding of the causal GxE variants. Here, we introduce BARcoded Cas9 retron precise parallel editing via homology (CRISPEY-BAR), a high-throughput precision genome editing strategy, and use it to map GxE interactions of naturally occurring genetic polymorphisms impacting yeast growth. We identified hundreds of GxE variants within condition-specific QTLs, revealing unexpected genetic complexity. Moreover, we found that 93.7% of non-neutral natural variants within ergosterol biosynthesis pathway genes showed GxE interactions, including many impacting antifungal drug resistance through diverse molecular mechanisms. In sum, our results suggest an extremely complex, context-dependent fitness landscape characterized by pervasive GxE interactions while also demonstrating massively parallel genome editing as an effective means for investigating this complexity.
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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.