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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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 34061827 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: High-throughput framework for genetic analyses of adverse drug reactions using electronic health records. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zheng+NS%22">Zheng NS</searchLink>; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.<br /><searchLink fieldCode="AU" term="%22Stone+CA%22">Stone CA</searchLink>; Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.<br /><searchLink fieldCode="AU" term="%22Jiang+L%22">Jiang L</searchLink>; Division of Rheumatology & Immunology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.<br /><searchLink fieldCode="AU" term="%22Shaffer+CM%22">Shaffer CM</searchLink>; Tennessee Valley Healthcare System-Nashville Campus, Nashville, Tennessee, United States of America.<br /><searchLink fieldCode="AU" term="%22Kerchberger+VE%22">Kerchberger VE</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Chung+CP%22">Chung CP</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Feng+Q%22">Feng Q</searchLink>; Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.<br /><searchLink fieldCode="AU" term="%22Cox+NJ%22">Cox NJ</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Stein+CM%22">Stein CM</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Roden+DM%22">Roden DM</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Denny+JC%22">Denny JC</searchLink>; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.<br /><searchLink fieldCode="AU" term="%22Phillips+EJ%22">Phillips EJ</searchLink>; Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.<br /><searchLink fieldCode="AU" term="%22Wei+WQ%22">Wei WQ</searchLink>; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101239074%22">PLoS genetics</searchLink> [PLoS Genet] 2021 Jun 01; Vol. 17 (6), pp. e1009593. <i>Date of Electronic Publication: </i>2021 Jun 01 (<i>Print Publication: </i>2021). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101239074 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1553-7404 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215537390%22">15537390 </searchLink><i>NLM ISO Abbreviation: </i>PLoS Genet <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34061827 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pgen.1009593 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e1009593 Titles: – TitleFull: High-throughput framework for genetic analyses of adverse drug reactions using electronic health records. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zheng NS – PersonEntity: Name: NameFull: Stone CA – PersonEntity: Name: NameFull: Jiang L – PersonEntity: Name: NameFull: Shaffer CM – PersonEntity: Name: NameFull: Kerchberger VE – PersonEntity: Name: NameFull: Chung CP – PersonEntity: Name: NameFull: Feng Q – PersonEntity: Name: NameFull: Cox NJ – PersonEntity: Name: NameFull: Stein CM – PersonEntity: Name: NameFull: Roden DM – PersonEntity: Name: NameFull: Denny JC – PersonEntity: Name: NameFull: Phillips EJ – PersonEntity: Name: NameFull: Wei WQ IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2021 Jun 01 Type: published Y: 2021 Identifiers: – Type: issn-electronic Value: 1553-7404 Numbering: – Type: volume Value: 17 – Type: issue Value: 6 Titles: – TitleFull: PLoS genetics Type: main |
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