Literature DB >> 22738351

Genome-wide approaches to antidepressant treatment: working towards understanding and predicting response.

Karen Hodgson1, Shaista Jeelani Mufti, Rudolf Uher, Peter McGuffin.   

Abstract

Antidepressants are among the most commonly prescribed drugs, and a range of medications are available. However, treatment response to a particular drug varies greatly between patients, with only 30% of patients responding well to the first treatment administered. Given evidence that antidepressant treatment response is a heritable trait, together with technological advances in genetic research, three recently published genome-wide investigations into antidepressant responses have examined the determinants of variability in treatment outcomes between depressed patients. Here, we review these studies within the context of wider research efforts to identify treatment response predictors. Some interesting genes have been implicated, but no variants have yet been robustly and reliably linked to response. This may suggest that genetic effect sizes are smaller than originally anticipated. Candidate gene approaches in these samples have lent support to the involvement of serotonergic, glutamatergic and stress-response systems in treatment response, although corroborative evidence from genome-wide analyses indicates these results should be interpreted cautiously. Closer examination of antidepressant response, considering it as a complex trait, has indicated that multiple genes of small effect are likely to be involved. Furthermore, there is some evidence that genetic influence on response to treatment may vary between patients with different symptom profiles or environmental exposures. This has implications for the translation of pharmacogenetic findings into clinical practice: genotypic information from multiple loci and data on non-genetic factors are likely to be needed to tailor antidepressant treatment to the individual patient.

Entities:  

Year:  2012        PMID: 22738351      PMCID: PMC3698532          DOI: 10.1186/gm351

Source DB:  PubMed          Journal:  Genome Med        ISSN: 1756-994X            Impact factor:   11.117


  71 in total

1.  Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: implications for clinical practice.

Authors:  Madhukar H Trivedi; A John Rush; Stephen R Wisniewski; Andrew A Nierenberg; Diane Warden; Louise Ritz; Grayson Norquist; Robert H Howland; Barry Lebowitz; Patrick J McGrath; Kathy Shores-Wilson; Melanie M Biggs; G K Balasubramani; Maurizio Fava
Journal:  Am J Psychiatry       Date:  2006-01       Impact factor: 18.112

2.  Development of a rating scale for primary depressive illness.

Authors:  M Hamilton
Journal:  Br J Soc Clin Psychol       Date:  1967-12

Review 3.  Ketamine as a novel antidepressant: from synapse to behavior.

Authors:  J W Murrough
Journal:  Clin Pharmacol Ther       Date:  2011-12-28       Impact factor: 6.875

4.  Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene.

Authors:  Avshalom Caspi; Karen Sugden; Terrie E Moffitt; Alan Taylor; Ian W Craig; HonaLee Harrington; Joseph McClay; Jonathan Mill; Judy Martin; Antony Braithwaite; Richie Poulton
Journal:  Science       Date:  2003-07-18       Impact factor: 47.728

5.  Anxiety syndromes and their relationship to depressive illness.

Authors:  J Fawcett; H M Kravitz
Journal:  J Clin Psychiatry       Date:  1983-08       Impact factor: 4.384

Review 6.  Treatment response in melancholia.

Authors:  W A Brown
Journal:  Acta Psychiatr Scand Suppl       Date:  2007

7.  Measuring depression: comparison and integration of three scales in the GENDEP study.

Authors:  R Uher; A Farmer; W Maier; M Rietschel; J Hauser; A Marusic; O Mors; A Elkin; R J Williamson; C Schmael; N Henigsberg; J Perez; J Mendlewicz; J G E Janzing; A Zobel; M Skibinska; D Kozel; A S Stamp; M Bajs; A Placentino; M Barreto; P McGuffin; K J Aitchison
Journal:  Psychol Med       Date:  2007-10-09       Impact factor: 7.723

8.  The FKBP5-gene in depression and treatment response--an association study in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) Cohort.

Authors:  Magnus Lekman; Gonzalo Laje; Dennis Charney; A John Rush; Alexander F Wilson; Alexa J M Sorant; Robert Lipsky; Stephen R Wisniewski; Husseini Manji; Francis J McMahon; Silvia Paddock
Journal:  Biol Psychiatry       Date:  2008-01-11       Impact factor: 13.382

Review 9.  Antidepressants versus placebo for depression in primary care.

Authors:  Bruce Arroll; C Raina Elley; Tana Fishman; Felicity A Goodyear-Smith; Tim Kenealy; Grant Blashki; Ngaire Kerse; Stephen Macgillivray
Journal:  Cochrane Database Syst Rev       Date:  2009-07-08

10.  Response to a selective serotonin reuptake inhibitor (citalopram) in major depressive disorder with melancholic features: a STAR*D report.

Authors:  Patrick J McGrath; Ahsan Y Khan; Madhukar H Trivedi; Jonathan W Stewart; David W Morris; Stephen R Wisniewski; Sachiko Miyahara; Andrew A Nierenberg; Maurizio Fava; A John Rush
Journal:  J Clin Psychiatry       Date:  2008-11-18       Impact factor: 4.384

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  4 in total

Review 1.  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

2.  Association Between Side Effects and Blood microRNA Expression Levels and Their Targeted Pathways in Patients With Major Depressive Disorder Treated by a Selective Serotonin Reuptake Inhibitor, Escitalopram: A CAN-BIND-1 Report.

Authors:  Antoine Yrondi; Laura M Fiori; Benicio N Frey; Raymond W Lam; Glenda M MacQueen; Roumen Milev; Daniel J Müller; Jane A Foster; Sidney H Kennedy; Gustavo Turecki
Journal:  Int J Neuropsychopharmacol       Date:  2020-02-01       Impact factor: 5.176

3.  31-year-old female shows marked improvement in depression, agitation, and panic attacks after genetic testing was used to inform treatment.

Authors:  Scott Lawrence
Journal:  Case Rep Psychiatry       Date:  2014-03-18

4.  Perspective: Quality Versus Quantity; Is It Important to Assess the Role of Enhancers in Complex Disease from an In Vivo Perspective?

Authors:  Andrew R McEwan; Alasdair MacKenzie
Journal:  Int J Mol Sci       Date:  2020-10-23       Impact factor: 5.923

  4 in total

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