Literature DB >> 23852853

Pharmacogenetics of antidepressant drugs: an update after almost 20 years of research.

Chiara Fabbri1, Giulia Di Girolamo, Alessandro Serretti.   

Abstract

Major depressive disorder (MDD) is an emergent cause of personal and socio-economic burden, both for the high prevalence of the disorder and the unsatisfying response rate of the available antidepressant treatments. No reliable predictor of treatment efficacy and tolerance in the single patient is available, thus drug choice is based on a trial and error principle with poor clinical efficiency. Among modulators of treatment outcome, genetic polymorphisms are thought to explain a significant share of the inter-individual variability. The present review collected the main pharmacogenetic findings primarily about antidepressant response and secondly about antidepressant induced side effects, and discussed the main strengths and limits of both candidate and genome-wide association studies and the most promising methodological opportunities and challenges of the field. Despite clinical applications of antidepressant pharmacogenetics are not available yet, previous findings suggest that genotyping may be applied in the clinical practice. In order to reach this objective, further rigorous pharmacogenetic studies (adequate sample size, study of better defined clinical subtypes of MDD, adequate covering of the genetic variability), their combination with the results obtained through complementary methodologies (e.g., pathway analysis, epigenetics, transcriptomics, and proteomics), and finally cost-effectiveness trials are required.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  antidepressants; gene; major depression; pharmacogenetics

Mesh:

Substances:

Year:  2013        PMID: 23852853     DOI: 10.1002/ajmg.b.32184

Source DB:  PubMed          Journal:  Am J Med Genet B Neuropsychiatr Genet        ISSN: 1552-4841            Impact factor:   3.568


  27 in total

1.  Serotonin transporter gene (SLC6A4) polymorphisms are associated with response to fluoxetine in south Indian major depressive disorder patients.

Authors:  Aarthi Manoharan; Deepak Gopal Shewade; Ravi Philip Rajkumar; Surendiran Adithan
Journal:  Eur J Clin Pharmacol       Date:  2016-07-20       Impact factor: 2.953

2.  Neuroplasticity and second messenger pathways in antidepressant efficacy: pharmacogenetic results from a prospective trial investigating treatment resistance.

Authors:  Chiara Fabbri; Concetta Crisafulli; Raffaella Calati; Diego Albani; Gianluigi Forloni; Marco Calabrò; Rosalba Martines; Siegfried Kasper; Joseph Zohar; Alzbeta Juven-Wetzler; Daniel Souery; Stuart Montgomery; Julien Mendlewicz; Alessandro Serretti
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2017-03-04       Impact factor: 5.270

Review 3.  Pharmacogenetics of major depressive disorder: top genes and pathways toward clinical applications.

Authors:  Chiara Fabbri; Alessandro Serretti
Journal:  Curr Psychiatry Rep       Date:  2015-07       Impact factor: 5.285

4.  A model to investigate SNPs' interaction in GWAS studies.

Authors:  Enrico Cocchi; Antonio Drago; Chiara Fabbri; Alessandro Serretti
Journal:  J Neural Transm (Vienna)       Date:  2014-11-29       Impact factor: 3.575

5.  Systems genetics analysis of pharmacogenomics variation during antidepressant treatment.

Authors:  M B Madsen; L J A Kogelman; H N Kadarmideen; H B Rasmussen
Journal:  Pharmacogenomics J       Date:  2016-10-18       Impact factor: 3.550

Review 6.  Pharmacogenetics and Imaging-Pharmacogenetics of Antidepressant Response: Towards Translational Strategies.

Authors:  Tristram A Lett; Henrik Walter; Eva J Brandl
Journal:  CNS Drugs       Date:  2016-12       Impact factor: 5.749

7.  Genetics of psychotropic medication induced side effects in two independent samples of bipolar patients.

Authors:  Chiara Fabbri; Daniel Souery; Raffaella Calati; Concetta Crisafulli; Armando Chierchia; Diego Albani; Gianluigi Forloni; Alberto Chiesa; Rosalba Martines; Othman Sentissi; Julien Mendlewicz; Giovanni De Girolamo; Alessandro Serretti
Journal:  J Neural Transm (Vienna)       Date:  2014-08-17       Impact factor: 3.575

8.  New insights into the pharmacogenomics of antidepressant response from the GENDEP and STAR*D studies: rare variant analysis and high-density imputation.

Authors:  C Fabbri; K E Tansey; R H Perlis; J Hauser; N Henigsberg; W Maier; O Mors; A Placentino; M Rietschel; D Souery; G Breen; C Curtis; L Sang-Hyuk; S Newhouse; H Patel; M Guipponi; N Perroud; G Bondolfi; M O'Donovan; G Lewis; J M Biernacka; R M Weinshilboum; A Farmer; K J Aitchison; I Craig; P McGuffin; R Uher; C M Lewis
Journal:  Pharmacogenomics J       Date:  2017-11-21       Impact factor: 3.550

Review 9.  Pharmacogenomics in the treatment of mood disorders: Strategies and Opportunities for personalized psychiatry.

Authors:  Azmeraw T Amare; Klaus Oliver Schubert; Bernhard T Baune
Journal:  EPMA J       Date:  2017-09-05       Impact factor: 6.543

Review 10.  Blood-based biomarkers predicting response to antidepressants.

Authors:  Yasmin Busch; Andreas Menke
Journal:  J Neural Transm (Vienna)       Date:  2018-01-27       Impact factor: 3.575

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