Exploring genetic suppression interactions on a global scale

• DOI: 10.1126/science.aag0839
• Publication Date: 2016-11-03T20:52:38Z
• Authors: Jolanda van Leeuwen; Carles Pons; Joseph C. Mellor; Takafumi N. Yamag...; Helena Friesen; John Koschwanez; Mojca Mattiazzi Ušaj; Maria Pechlaner; Mehmet Takar; Matej Ušaj; Benjamin VanderSluis; Kerry Andrusiak; Pritpal Bansal; Anastasia Baryshn...; Claire E. Boone; Jessica Cao; Atina Cote; Marinella Gebbia; Gene Horecka; Ira Horecka; Elena Kuzmin; Nicole Legro; Wendy Liang; Natascha van Lies...; Margaret McNee; Bryan-Joseph San ...; Fatemeh Shaeri; Ermira Shuteriqi; Song Sun; Lu Yang; Ji-Young Youn; Michael Yuen; Michael Costanzo; Anne-Claude Gingras; Patrick Aloy; Chris Oostenbrink; Andrew Murray; Todd R. Graham; Chad L. Myers; Brenda J. Andrews; Frederick P. Roth; Charles Boone
• Keywords: Model Organism

A global genetic suppression network The background of an organism can influence the overall effects new variants. Some mutations amplify a deleterious phenotype, whereas others suppress it. Starting with literature survey and expanding into genomewide assay, van Leeuwen et al. generated large-scale in yeast. data set reveals general properties that be used to predict interactions. Furthermore, study provides template for extending studies other genes or more complex organisms. Science , this issue p. 599