A strategy for extracting and analyzing large-scale quantitative epistatic interaction data

Genome Biol. 2006;7(7):R63. doi: 10.1186/gb-2006-7-7-r63.


Recently, approaches have been developed for high-throughput identification of synthetic sick/lethal gene pairs. However, these are only a specific example of the broader phenomenon of epistasis, wherein the presence of one mutation modulates the phenotype of another. We present analysis techniques for generating high-confidence quantitative epistasis scores from measurements made using synthetic genetic array and epistatic miniarray profile (E-MAP) technology, as well as several tools for higher-level analysis of the resulting data that are greatly enhanced by the quantitative score and detection of alleviating interactions.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Epistasis, Genetic*
  • Mutation
  • Oligonucleotide Array Sequence Analysis
  • Phenotype