Abstract
Genetic effects on gene regulation make a substantial contribution to phenotypic diversity, yet their mechanisms remain elusive. Here, we discuss the potential insights to be gained from mapping gene-environment interactions at regulatory polymorphisms (i.e., genetic variation that affects gene expression under specific environmental conditions). We highlight a novel statistical method to identify specific patterns of gene-environment interaction at these regulatory polymorphisms. Reviewing its application to a study that mapped gene expression in the presence and absence of glucocorticoids, we discuss the mechanistic insights that this approach provides. © 2012 Landes Bioscience.
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Maranville, J. C., Luca, F., Stephens, M., & Di Rienzo, A. (2012). Mapping gene-environment interactions at regulatory polymorphisms: Insights into mechanisms of phenotypic variation. Transcription, 3(2), 56–62. https://doi.org/10.4161/trns.19497
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