High-throughput framework for genetic analyses of adverse drug reactions using electronic health records.
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| Title: | High-throughput framework for genetic analyses of adverse drug reactions using electronic health records. |
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| Authors: | Zheng NS; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Stone CA; Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Jiang L; Division of Rheumatology & Immunology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Shaffer CM; Tennessee Valley Healthcare System-Nashville Campus, Nashville, Tennessee, United States of America., Kerchberger VE; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.; Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Chung CP; Division of Rheumatology & Immunology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.; Tennessee Valley Healthcare System-Nashville Campus, Nashville, Tennessee, United States of America.; Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Feng Q; Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Cox NJ; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Stein CM; Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.; Department of Pharmacology, Vanderbilt University, Nashville, Tennessee, United States of America., Roden DM; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.; Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.; Department of Pharmacology, Vanderbilt University, Nashville, Tennessee, United States of America.; Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Denny JC; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Phillips EJ; Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Wei WQ; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America. |
| Source: | PLoS genetics [PLoS Genet] 2021 Jun 01; Vol. 17 (6), pp. e1009593. Date of Electronic Publication: 2021 Jun 01 (Print Publication: 2021). |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101239074 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7404 (Electronic) Linking ISSN: 15537390 NLM ISO Abbreviation: PLoS Genet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7404 |
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| DOI: | 10.1371/journal.pgen.1009593 |
