title: Finding a Needle in a QT Interval Big Data Haystack: The Role for Orthogonal Datasets.
authors.affiliation: Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee. Electronic address: dan.roden@vanderbilt.edu.
authors.forename: Dan M
authors.initials: DM
authors.lastname: Roden
authors.affiliation: Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
authors.forename: Jonathan D
authors.initials: JD
authors.lastname: Mosley
authors.affiliation: Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.
authors.forename: Joshua C
authors.initials: JC
authors.lastname: Denny
mesh_terms: D051638:Ether-A-Go-Go Potassium Channels; D006801:Humans; D008133:Long QT Syndrome; D024642:Potassium Channels, Voltage-Gated; D016171:Torsades de Pointes
chemical_list: D051638:Ether-A-Go-Go Potassium Channels; D024642:Potassium Channels, Voltage-Gated
keywords: FAERS; HERG; adverse drug reactions; electronic health records; long QT syndrome