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Annual Review of Biomedical Data Science|June 10, 2021
Defining Phenotypes from Clinical Data to Drive Genomic ResearchJamie R Robinson, Wei-Qi Wei, Dan M Roden, et al.Annual Review of Physiology|February 5, 2002
Cardiac ion channelsDan M Roden, Jeffrey R Balser, Alfred L George, et al.Journal of Electrocardiology|January 23, 2017
Torsades de pointes with high-dose loperamidePatrick M Kozak, Amanda E Harris, John A McPherson, et al.Circulation|February 13, 2018
Classification and Reporting of Potentially Proarrhythmic Common Genetic Variation in Long QT Syndrome Genetic TestingJohn R Giudicessi, Dan M Roden, Arthur A M Wilde, et al.Clinical and Translational Science|May 7, 2010
Principles of human subjects protections applied in an opt-out, de-identified biobankJill Pulley, Ellen Clayton, Gordon R Bernard, et al.American Heart Journal|September 29, 2009
Close bidirectional relationship between chronic kidney disease and atrial fibrillation: the Niigata preventive medicine studyHiroshi Watanabe, Toru Watanabe, Shigeru Sasaki, et al.Heart Rhythm|January 14, 2018
Exploiting ion channel structure to assess rare variant pathogenicityBrett M Kroncke, Tao Yang, Prince Kannankeril, et al.Clinical Pharmacology and Therapeutics|November 25, 2017
The Influence of Big (Clinical) Data and Genomics on Precision Medicine and Drug DevelopmentJoshua C Denny, Sara L Van Driest, Wei-Qi Wei, et al.Circulation|September 8, 2005
Unmasking of brugada syndrome by lithiumDawood Darbar, Tao Yang, Keith Churchwell, et al.Circulation. Arrhythmia and Electrophysiology|March 24, 2009
A genotype-dependent intermediate ECG phenotype in patients with persistent lone atrial fibrillation genotype ECG-phenotype correlation in atrial fibrillationDaniela Husser, Martin Stridh, Leif Sörnmo, et al.Pageof 54