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High-throughput framework for genetic analyses of adverse drug reactions using electronic health records
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Neil S. Zheng,
Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Writing – original draft
Affiliation Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
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Cosby A. Stone,
Roles Writing – review & editing
Affiliation Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
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Lan Jiang,
Roles Software
Affiliation Division of Rheumatology & Immunology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
⨯ - Christian M. Shaffer,
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V. Eric Kerchberger,
Roles Writing – review & editing
Affiliations 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
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Cecilia P. Chung,
Roles Writing – review & editing
Affiliations 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
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QiPing Feng,
Roles Software, Writing – review & editing
Affiliation Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
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Nancy J. Cox,
Roles Writing – review & editing
Affiliations 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
⨯ - C. Michael Stein,
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Dan M. Roden,
Roles Funding acquisition, Writing – review & editing
Affiliations 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
⨯ - Joshua C. Denny,
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Elizabeth J. Phillips,
Roles Conceptualization, Funding acquisition, Writing – review & editing
Affiliation Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
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Wei-Qi Wei
Roles Conceptualization, Funding acquisition, Methodology, Resources, Writing – review & editing
* E-mail: wei-qi.wei@vumc.org
Affiliation Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
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https://orcid.org/0000-0001-8737-0773
High-throughput framework for genetic analyses of adverse drug reactions using electronic health records
- Neil S. Zheng,
- Cosby A. Stone,
- Lan Jiang,
- Christian M. Shaffer,
- V. Eric Kerchberger,
- Cecilia P. Chung,
- QiPing Feng,
- Nancy J. Cox,
- C. Michael Stein,
- Dan M. Roden
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- Published: June 1, 2021
- https://doi.org/10.1371/journal.pgen.1009593