title: Pathway and network-based strategies to translate genetic discoveries into effective therapies.
abstract: One way to design a drug is to attempt to phenocopy a genetic variant that is known to have the desired effect. In general, drugs that are supported by genetic associations progress further in the development pipeline. However, the number of associations that are candidates for development into drugs is limited because many associations are in non-coding regions or difficult to target genes. Approaches that overlay information from pathway databases or biological networks can expand the potential target list. In cases where the initial variant is not targetable or there is no variant with the desired effect, this may reveal new means to target a disease. In this review, we discuss recent examples in the domain of pathway and network-based drug repositioning from genetic associations. We highlight important caveats and challenges for the field, and we discuss opportunities for further development.
authors.affiliation: Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine Institute for Translational Medicine and Therapeutics, Perelman School of Medicine csgreene@upenn.edu.
authors.forename: Casey S
authors.initials: CS
authors.lastname: Greene
authors.affiliation: Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine Institute for Translational Medicine and Therapeutics, Perelman School of Medicine Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19103 USA.
authors.forename: Benjamin F
authors.initials: BF
authors.lastname: Voight