Literature DB >> 26234589

Clinically Useful Genetic Markers of Antidepressant Response: How Do We Get There From Here?

Francis J McMahon1.   

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Year:  2015        PMID: 26234589     DOI: 10.1176/appi.ajp.2015.15050644

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


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  5 in total

1.  Treatment of Depression From a Self-Regulation Perspective: Basic Concepts and Applied Strategies in Self-System Therapy.

Authors:  Timothy J Strauman; Kari M Eddington
Journal:  Cognit Ther Res       Date:  2016-08-29

2.  Research on the Development of Theme Trends and Changes of Knowledge Structures of Drug Therapy Studies on Major Depressive Disorder Since the 21st Century: A Bibliometric Analysis.

Authors:  Li Duan; Yunfeng Gao; Xiaojun Shao; ChunSheng Tian; Chunfeng Fu; Gang Zhu
Journal:  Front Psychiatry       Date:  2020-07-10       Impact factor: 4.157

3.  Clinical Implementation of Pharmacogenetic Decision Support Tools for Antidepressant Drug Prescribing.

Authors:  Zane Zeier; Linda L Carpenter; Ned H Kalin; Carolyn I Rodriguez; William M McDonald; Alik S Widge; Charles B Nemeroff
Journal:  Am J Psychiatry       Date:  2018-04-25       Impact factor: 18.112

Review 4.  Biomarkers: Delivering on the expectation of molecularly driven, quantitative health.

Authors:  Jennifer L Wilson; Russ B Altman
Journal:  Exp Biol Med (Maywood)       Date:  2017-12-03

5.  The MAKE Biomarker Discovery for Enhancing anTidepressant Treatment Effect and Response (MAKE BETTER) Study: Design and Methodology

Authors:  Hee-Ju Kang; Ju-Wan Kim; Seon-Young Kim; Sung-Wan Kim; Hee-Young Shin; Myung-Geun Shin; Jae-Min Kim
Journal:  Psychiatry Investig       Date:  2018-04-05       Impact factor: 2.505

  5 in total

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