title: From Prescription to Transcription: Genome Sequence as Drug Target.
abstract: Personalizing treatments to account for genetically mediated differences in drug responses is an exciting opportunity to improve patient outcomes. In this issue, Soccio et al. reveal new mechanisms by which non-coding variants alter the activity of the anti-diabetic drug rosiglitazone.
authors.affiliation: Center for Genomic and Computational Biology, Duke University Medical School, Durham, NC 27708, USA; University Program in Genetics and Genomics, Duke University Medical School, Durham, NC 27708, USA.
authors.forename: Cong
authors.initials: C
authors.lastname: Guo
authors.affiliation: Center for Genomic and Computational Biology, Duke University Medical School, Durham, NC 27708, USA; University Program in Genetics and Genomics, Duke University Medical School, Durham, NC 27708, USA.
authors.forename: Anthony M
authors.initials: AM
authors.lastname: D'Ippolito
authors.affiliation: Center for Genomic and Computational Biology, Duke University Medical School, Durham, NC 27708, USA; Department of Biostatistics and Bioinformatics, Duke University Medical School, Durham, NC 27708, USA. Electronic address: tim.reddy@duke.edu.
authors.forename: Timothy E
authors.initials: TE
authors.lastname: Reddy
mesh_terms: D000818:Animals; D006801:Humans; D007004:Hypoglycemic Agents / Q000378:metabolism*; D047495:PPAR gamma / Q000235:genetics* / Q000378:metabolism*; D020641:Polymorphism, Single Nucleotide
chemical_list: D007004:Hypoglycemic Agents; D047495:PPAR gamma