Literature DB >> 27955861

Genomics of Adverse Drug Reactions.

Ana Alfirevic1, Munir Pirmohamed2.   

Abstract

Adverse drug reactions (ADRs) are common, are associated with morbidity and mortality, and are costly to healthcare systems. Genomic factors predispose to ADRs, but these vary depending on the drug, patient, and disease. Genomic testing can not only help to predict and prevent ADRs but can also be used in other ways (diagnosis, closer monitoring of those at risk, pre-emptive genotyping, and understanding of mechanism), all of which will be important in the future to improve the benefit-risk ratio of drugs. In the era of precision medicine, such genomic data will need to be integrated with other forms of data to develop a comprehensive and integrated approach to improve responses to medicines used in patients.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  adverse drug reactions; electronic medical records; pharmacogenomics; pre-emptive genotyping

Mesh:

Year:  2016        PMID: 27955861     DOI: 10.1016/j.tips.2016.11.003

Source DB:  PubMed          Journal:  Trends Pharmacol Sci        ISSN: 0165-6147            Impact factor:   14.819


  15 in total

Review 1.  Biomarkers of adverse drug reactions.

Authors:  Daniel F Carr; Munir Pirmohamed
Journal:  Exp Biol Med (Maywood)       Date:  2017-09-26

Review 2.  Drug-Induced Skin Adverse Reactions: The Role of Pharmacogenomics in Their Prevention.

Authors:  Kalliopi Gerogianni; Aspasia Tsezou; Konstantinos Dimas
Journal:  Mol Diagn Ther       Date:  2018-06       Impact factor: 4.476

3.  Clinical factors predicting drug-induced liver injury due to flucloxacillin.

Authors:  Mikaela Lindh; Pär Hallberg; Qun-Ying Yue; Mia Wadelius
Journal:  Drug Healthc Patient Saf       Date:  2018-11-21

Review 4.  The diagnostic role of miR-122 in drug-induced liver injury: A systematic review and meta-analysis.

Authors:  Yiqi Liu; Ping Li; Liang Liu; Yilian Zhang
Journal:  Medicine (Baltimore)       Date:  2018-12       Impact factor: 1.817

5.  Phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects.

Authors:  Phuong A Nguyen; David A Born; Aimee M Deaton; Paul Nioi; Lucas D Ward
Journal:  Nat Commun       Date:  2019-04-05       Impact factor: 14.919

Review 6.  Genetic Determinants in HLA and Cytochrome P450 Genes in the Risk of Aromatic Antiepileptic-Induced Severe Cutaneous Adverse Reactions.

Authors:  Ali Fadhel Ahmed; Chonlaphat Sukasem; Majeed Arsheed Sabbah; Nur Fadhlina Musa; Dzul Azri Mohamed Noor; Nur Aizati Athirah Daud
Journal:  J Pers Med       Date:  2021-05-07

7.  Adverse drug reactions triggered by the common HLA-B*57:01 variant: virtual screening of DrugBank using 3D molecular docking.

Authors:  George Van Den Driessche; Denis Fourches
Journal:  J Cheminform       Date:  2018-01-30       Impact factor: 5.514

8.  The development of a scoring and ranking strategy for a patient-tailored adverse drug reaction prediction in polypharmacy.

Authors:  Andrei Valeanu; Cristian Damian; Cristina Daniela Marineci; Simona Negres
Journal:  Sci Rep       Date:  2020-06-12       Impact factor: 4.379

9.  Carbamazepine-Mediated Adverse Drug Reactions: CBZ-10,11-epoxide but Not Carbamazepine Induces the Alteration of Peptides Presented by HLA-B∗15:02.

Authors:  Gwendolin S Simper; Gia-Gia T Hò; Alexander A Celik; Trevor Huyton; Joachim Kuhn; Heike Kunze-Schumacher; Rainer Blasczyk; Christina Bade-Döding
Journal:  J Immunol Res       Date:  2018-09-13       Impact factor: 4.818

Review 10.  Current Perspectives on Severe Drug Eruption.

Authors:  Jingzhan Zhang; Zixian Lei; Chen Xu; Juan Zhao; Xiaojing Kang
Journal:  Clin Rev Allergy Immunol       Date:  2021-07-17       Impact factor: 8.667

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