Literature DB >> 19880459

Pharmacogenetics studies in STAR*D: strengths, limitations, and results.

Gonzalo Laje1, Roy H Perlis, A John Rush, Francis J McMahon.   

Abstract

Several lines of evidence support an important genetic contribution to the wide individual variation in therapeutic response to antidepressant medications. The Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study provided the largest cohort assembled to date of DNA from patients with nonpsychotic major depressive disorder, uniformly treated with citalopram and followed prospectively for up to 12 weeks. This pivotal study changed the face of pharmacogenetics research by increasing the sample size by an order of magnitude as well as by providing detailed prospective information about antidepressant response and tolerability. Several groups have identified markers in genes and tested the replication of previous findings of genes associated with outcome and side effects of antidepressant treatment. Variants in HTR2A, GRIK4, and KCNK2 were associated with citalopram treatment outcome. Replication was achieved in markers in the FKBP5 gene. Other findings in PDE11A and BDNF were not successfully replicated, and reports of potential confounders in previous associations with serotonin transporter variation (SLC6A4) were identified. Polymorphisms in pharmacokinetic genes involved in metabolism and transmembrane transport were also not associated with antidepressant response. Adverse events were also tested. Treatment-emergent suicidal ideation was associated with GRIK2, GRIA3, PAPLN, IL28RA, and CREB1. Sexual dysfunction was linked with variation in GRIN3A, GRIA1 GRIA3, and GRIK2. Reported and future findings of pharmacogenetics studies in STAR*D could help elucidate pathways involved in major depression and those pertinent to antidepressant outcome and side effects. Replication of these findings in independent samples could lead to the development of new treatments and to optimization of available treatments.

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Year:  2009        PMID: 19880459      PMCID: PMC3775610          DOI: 10.1176/appi.ps.60.11.1446

Source DB:  PubMed          Journal:  Psychiatr Serv        ISSN: 1075-2730            Impact factor:   3.084


  65 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

Review 2.  Genetic associations in large versus small studies: an empirical assessment.

Authors:  John P A Ioannidis; Thomas A Trikalinos; Evangelia E Ntzani; Despina G Contopoulos-Ioannidis
Journal:  Lancet       Date:  2003-02-15       Impact factor: 79.321

Review 3.  Predictors of response to antidepressants general principles and clinical implications.

Authors:  Andrew A Nierenberg
Journal:  Psychiatr Clin North Am       Date:  2003-06

4.  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

5.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

6.  Variants in PDE11A and PDE1A are not associated with citalopram response.

Authors:  K S Teranishi; S L Slager; H Garriock; J B Kraft; E J Peters; M S Reinalda; G D Jenkins; P J McGrath; S P Hamilton
Journal:  Mol Psychiatry       Date:  2007-12       Impact factor: 15.992

7.  Use of pattern analysis to predict differential relapse of remitted patients with major depression during 1 year of treatment with fluoxetine or placebo.

Authors:  J W Stewart; F M Quitkin; P J McGrath; J Amsterdam; M Fava; J Fawcett; F Reimherr; J Rosenbaum; C Beasley; P Roback
Journal:  Arch Gen Psychiatry       Date:  1998-04

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

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

9.  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

10.  Association between treatment-emergent suicidal ideation with citalopram and polymorphisms near cyclic adenosine monophosphate response element binding protein in the STAR*D study.

Authors:  Roy H Perlis; Shaun Purcell; Maurizio Fava; Jesen Fagerness; A John Rush; Madhukar H Trivedi; Jordan W Smoller
Journal:  Arch Gen Psychiatry       Date:  2007-06
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  32 in total

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2.  Effect of obstructive sleep apnea on response to cognitive behavior therapy for depression after an acute myocardial infarction.

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Review 3.  Pharmacogenetics of antidepressant response.

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Journal:  J Psychiatry Neurosci       Date:  2011-03       Impact factor: 6.186

Review 4.  Pharmacogenomics of suicidal events.

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Journal:  Pharmacogenomics       Date:  2010-06       Impact factor: 2.533

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Journal:  Discov Med       Date:  2013-09       Impact factor: 2.970

Review 6.  Functional biomarkers of depression: diagnosis, treatment, and pathophysiology.

Authors:  Heath D Schmidt; Richard C Shelton; Ronald S Duman
Journal:  Neuropsychopharmacology       Date:  2011-08-03       Impact factor: 7.853

Review 7.  FKBP51 and FKBP52 in signaling and disease.

Authors:  Cheryl L Storer; Chad A Dickey; Mario D Galigniana; Theo Rein; Marc B Cox
Journal:  Trends Endocrinol Metab       Date:  2011-08-31       Impact factor: 12.015

Review 8.  Genetic endophenotypes for insomnia of major depressive disorder and treatment-induced insomnia.

Authors:  Ibrahim Mohammed Badamasi; Munn Sann Lye; Normala Ibrahim; Johnson Stanslas
Journal:  J Neural Transm (Vienna)       Date:  2019-05-18       Impact factor: 3.575

9.  Pioneering first steps and cautious conclusions.

Authors:  Francis J McMahon
Journal:  Biol Psychiatry       Date:  2010-01-15       Impact factor: 13.382

Review 10.  Biomarkers to predict antidepressant response.

Authors:  Andrew F Leuchter; Ian A Cook; Steven P Hamilton; Katherine L Narr; Arthur Toga; Aimee M Hunter; Kym Faull; Julian Whitelegge; Anne M Andrews; Joseph Loo; Baldwin Way; Stanley F Nelson; Steven Horvath; Barry D Lebowitz
Journal:  Curr Psychiatry Rep       Date:  2010-12       Impact factor: 5.285

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