Epistasis in a quantitative trait captured by a molecular model of transcription factor interactions

Jason Gertz, Justin P. Gerke, Barak A. Cohen

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

With technological advances in genetic mapping studies more of the genes and polymorphisms that underlie Quantitative Trait Loci (QTL) are now being identified. As the identities of these genes become known there is a growing need for an analysis framework that incorporates the molecular interactions affected by natural polymorphisms. As a step towards such a framework we present a molecular model of genetic variation in sporulation efficiency between natural isolates of the yeast, Saccharomyces cerevisiae. The model is based on the structure of the regulatory pathway that controls sporulation. The model captures the phenotypic variation between strains carrying different combinations of alleles at known QTL. Compared to a standard linear model the molecular model requires fewer free parameters, and has the advantage of generating quantitative hypotheses about the affinity of specific molecular interactions in different genetic backgrounds. Our analyses provide a concrete example of how the thermodynamic properties of protein-protein and protein-DNA interactions naturally give rise to epistasis, the non-linear relationship between genotype and phenotype. As more causative genes and polymorphisms underlying QTL are identified, thermodynamic analyses of quantitative traits may provide a useful framework for unraveling the complex relationship between genotype and phenotype.

Original languageEnglish
Pages (from-to)1-5
Number of pages5
JournalTheoretical Population Biology
Volume77
Issue number1
DOIs
StatePublished - Feb 2010

Keywords

  • Epistasis
  • Gene regulation
  • Quantitative traits
  • Thermodynamic models
  • Yeast

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