Precision medicine for psychopharmacology: a general introduction
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shin, Cheolmin | - |
dc.contributor.author | Han, Changsu | - |
dc.contributor.author | Pae, Chi-Un | - |
dc.contributor.author | Patkar, Ashwin A. | - |
dc.date.accessioned | 2021-09-04T05:02:29Z | - |
dc.date.available | 2021-09-04T05:02:29Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 1473-7175 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/90161 | - |
dc.description.abstract | Introduction: Precision medicine is an emerging medical model that can provide accurate diagnoses and tailored therapeutic strategies for patients based on data pertaining to genes, microbiomes, environment, family history and lifestyle. Areas covered: Here, we provide basic information about precision medicine and newly introduced concepts, such as the precision medicine ecosystem and big data processing, and omics technologies including pharmacogenomics, pharamacometabolomics, pharmacoproteomics, pharmacoepigenomics, connectomics and exposomics. The authors review the current state of omics in psychiatry and the future direction of psychopharmacology as it moves towards precision medicine. Expert commentary: Advances in precision medicine have been facilitated by achievements in multiple fields, including large-scale biological databases, powerful methods for characterizing patients (such as genomics, proteomics, metabolomics, diverse cellular assays, and even social networks and mobile health technologies), and computer-based tools for analyzing large amounts of data. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.subject | DOMAIN CRITERIA RDOC | - |
dc.subject | INDUCED WEIGHT-GAIN | - |
dc.subject | ANTIDEPRESSANT RESPONSE | - |
dc.subject | GENOMEWIDE ASSOCIATION | - |
dc.subject | PERSONALIZED MEDICINE | - |
dc.subject | PHARMACOGENETICS | - |
dc.subject | VARIANTS | - |
dc.subject | DYNAMICS | - |
dc.subject | GENOMICS | - |
dc.subject | PROJECT | - |
dc.title | Precision medicine for psychopharmacology: a general introduction | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Shin, Cheolmin | - |
dc.contributor.affiliatedAuthor | Han, Changsu | - |
dc.identifier.doi | 10.1080/14737175.2016.1182022 | - |
dc.identifier.scopusid | 2-s2.0-84965017069 | - |
dc.identifier.wosid | 000379025500011 | - |
dc.identifier.bibliographicCitation | EXPERT REVIEW OF NEUROTHERAPEUTICS, v.16, no.7, pp.831 - 839 | - |
dc.relation.isPartOf | EXPERT REVIEW OF NEUROTHERAPEUTICS | - |
dc.citation.title | EXPERT REVIEW OF NEUROTHERAPEUTICS | - |
dc.citation.volume | 16 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | 831 | - |
dc.citation.endPage | 839 | - |
dc.type.rims | ART | - |
dc.type.docType | Review | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Neurosciences & Neurology | - |
dc.relation.journalResearchArea | Pharmacology & Pharmacy | - |
dc.relation.journalWebOfScienceCategory | Clinical Neurology | - |
dc.relation.journalWebOfScienceCategory | Pharmacology & Pharmacy | - |
dc.subject.keywordPlus | DOMAIN CRITERIA RDOC | - |
dc.subject.keywordPlus | INDUCED WEIGHT-GAIN | - |
dc.subject.keywordPlus | ANTIDEPRESSANT RESPONSE | - |
dc.subject.keywordPlus | GENOMEWIDE ASSOCIATION | - |
dc.subject.keywordPlus | PERSONALIZED MEDICINE | - |
dc.subject.keywordPlus | PHARMACOGENETICS | - |
dc.subject.keywordPlus | VARIANTS | - |
dc.subject.keywordPlus | DYNAMICS | - |
dc.subject.keywordPlus | GENOMICS | - |
dc.subject.keywordPlus | PROJECT | - |
dc.subject.keywordAuthor | Precision medicine | - |
dc.subject.keywordAuthor | personalized medicine | - |
dc.subject.keywordAuthor | psychopharmacology | - |
dc.subject.keywordAuthor | pharmacogenomics | - |
dc.subject.keywordAuthor | pharmacometabolomics | - |
dc.subject.keywordAuthor | exposomics | - |
dc.subject.keywordAuthor | connectomics | - |
dc.subject.keywordAuthor | big data | - |
dc.subject.keywordAuthor | electronic health record | - |
dc.subject.keywordAuthor | electronic medical record | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.