ArticlePLoS genetics2014
Single nucleotide variants in transcription factors associate more tightly with phenotype than with gene expression.
Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Interaction of genetic variants activates latent metabolic pathways in yeast.Nature communications · 2025Article
- Genome-scale metabolic modelling identifies reactions mediated by SNP-SNP interactions associated with yeast sporulation.NPJ systems biology and applications · 2025Article
- Article
- Impacts ofFrontiers in veterinary science · 2022Article
- Molecular and evolutionary processes generating variation in gene expression.Nature reviews. Genetics · 2021Review
- DNA variants affecting the expression of numerous genes in trans have diverse mechanisms of action and evolutionary histories.PLoS genetics · 2019Article
- Integrative genomic and transcriptomic analysis of genetic markers in Dupuytren's disease.BMC medical genomics · 2019Article
- Genetics ofeLife · 2018Article
- Computational discovery of transcription factors associated with drug response.The pharmacogenomics journal · 2016Article
- Population perspectives on functional genomic variation in yeast.Briefings in functional genomics · 2016Review
- Temporal expression profiling identifies pathways mediating effect of causal variant on phenotype.PLoS genetics · 2015Article
- The role of regulatory variation in complex traits and disease.Nature reviews. Genetics · 2015Review
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2 authors.
Funding
Abstract
Mapping the polymorphisms responsible for variation in gene expression, known as Expression Quantitative Trait Loci (eQTL), is a common strategy for investigating the molecular basis of disease. Despite numerous eQTL studies, the relationship between the explanatory power of variants on gene expression versus their power to explain ultimate phenotypes remains to be clarified. We addressed this question using four naturally occurring Quantitative Trait Nucleotides (QTN) in three transcription factors that affect sporulation efficiency in wild strains of the yeast, Saccharomyces cerevisiae. We compared the ability of these QTN to explain the variation in both gene expression and sporulation efficiency. We find that the amount of gene expression variation explained by the sporulation QTN is not predictive of the amount of phenotypic variation explained. The QTN are responsible for 98% of the phenotypic variation in our strains but the median gene expression variation explained is only 49%. The alleles that are responsible for most of the variation in sporulation efficiency do not explain most of the variation in gene expression. The balance between the main effects and gene-gene interactions on gene expression variation is not the same as on sporulation efficiency. Finally, we show that nucleotide variants in the same transcription factor explain the expression variation of different sets of target genes depending on whether the variant alters the level or activity of the transcription factor. Our results suggest that a subset of gene expression changes may be more predictive of ultimate phenotypes than the number of genes affected or the total fraction of variation in gene expression variation explained by causative variants, and that the downstream phenotype is buffered against variation in the gene expression network.
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