Literature DB >> 22198824

Gene-environment interaction in major depression and antidepressant treatment response.

Robert Keers1, Rudolf Uher.   

Abstract

Response to antidepressants is interindividually variable. It has been suggested that this variability is a direct consequence of etiological heterogeneity. Therefore, the same genes, environments, and gene-environment interactions implicated in different etiological pathways to depression may also predict response to treatment. This article reviews the evidence relevant to this hypothesis by first outlining the roles of genes, environments, and gene-environment interplay in the etiology of depression, and then considering the same factors in treatment response. Environmental exposures, such as childhood maltreatment, are potent predictors of both depression and treatment response. Although alone genetic factors have failed to consistently predict either phenotype, several polymorphisms have been shown to moderate the effects of environmental adversity on the development of depression and treatment response. These findings suggest that the dissection of etiological pathways to depression may provide the key to understanding and predicting response to antidepressants.

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Year:  2012        PMID: 22198824     DOI: 10.1007/s11920-011-0251-x

Source DB:  PubMed          Journal:  Curr Psychiatry Rep        ISSN: 1523-3812            Impact factor:   5.285


  89 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.  Association study of corticotropin-releasing hormone receptor1 gene polymorphisms and antidepressant response in major depressive disorders.

Authors:  Zhongchun Liu; Fan Zhu; Gaohua Wang; Zheman Xiao; Jihua Tang; Wanhong Liu; Huiling Wang; Hao Liu; Xiaoping Wang; Yingliang Wu; Zhijian Cao; Wenxin Li
Journal:  Neurosci Lett       Date:  2006-12-15       Impact factor: 3.046

3.  Childhood emotional trauma and chronic posttraumatic stress disorder in adult outpatients with treatment-resistant depression.

Authors:  M J Kaplan; N A Klinetob
Journal:  J Nerv Ment Dis       Date:  2000-09       Impact factor: 2.254

4.  Interaction of childhood maltreatment with the corticotropin-releasing hormone receptor gene: effects on hypothalamic-pituitary-adrenal axis reactivity.

Authors:  Audrey R Tyrka; Lawrence H Price; Joel Gelernter; Caroline Schepker; George M Anderson; Linda L Carpenter
Journal:  Biol Psychiatry       Date:  2009-07-12       Impact factor: 13.382

5.  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

6.  Sequence variations of ABCB1, SLC6A2, SLC6A3, SLC6A4, CREB1, CRHR1 and NTRK2: association with major depression and antidepressant response in Mexican-Americans.

Authors:  C Dong; M-L Wong; J Licinio
Journal:  Mol Psychiatry       Date:  2009-10-20       Impact factor: 15.992

7.  Interactions between life stressors and susceptibility genes (5-HTTLPR and BDNF) on depression in Korean elders.

Authors:  Jae-Min Kim; Robert Stewart; Sung-Wan Kim; Su-Jin Yang; Il-Seon Shin; Young-Hoon Kim; Jin-Sang Yoon
Journal:  Biol Psychiatry       Date:  2007-05-04       Impact factor: 13.382

8.  Genetic variability at HPA axis in major depression and clinical response to antidepressant treatment.

Authors:  Sergi Papiol; Bárbara Arias; Cristóbal Gastó; Blanca Gutiérrez; Rosa Catalán; Lourdes Fañanás
Journal:  J Affect Disord       Date:  2007-04-30       Impact factor: 4.839

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.  Novel loci for major depression identified by genome-wide association study of Sequenced Treatment Alternatives to Relieve Depression and meta-analysis of three studies.

Authors:  S I Shyn; J Shi; J B Kraft; J B Potash; J A Knowles; M M Weissman; H A Garriock; J S Yokoyama; P J McGrath; E J Peters; W A Scheftner; W Coryell; W B Lawson; D Jancic; P V Gejman; A R Sanders; P Holmans; S L Slager; D F Levinson; S P Hamilton
Journal:  Mol Psychiatry       Date:  2009-12-29       Impact factor: 15.992

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  38 in total

Review 1.  A systematic review of the association between immunogenomic markers and cancer-related fatigue.

Authors:  L N Saligan; H S Kim
Journal:  Brain Behav Immun       Date:  2012-05-14       Impact factor: 7.217

2.  The interaction between stress and genetic factors in the etiopathogenesis of depression.

Authors:  Peter McGuffin; Margarita Rivera
Journal:  World Psychiatry       Date:  2015-06       Impact factor: 49.548

3.  Changes in behavior and ultrasonic vocalizations during antidepressant treatment in the maternally separated Wistar-Kyoto rat model of depression.

Authors:  P J van Zyl; J J Dimatelis; V A Russell
Journal:  Metab Brain Dis       Date:  2013-12-12       Impact factor: 3.584

4.  microRNA and mRNA profiles in the amygdala are associated with stress-induced depression and resilience in juvenile mice.

Authors:  Mengmeng Shen; Zhenhua Song; Jin-Hui Wang
Journal:  Psychopharmacology (Berl)       Date:  2019-03-21       Impact factor: 4.530

Review 5.  Treatment resistant depression: A multi-scale, systems biology approach.

Authors:  Huda Akil; Joshua Gordon; Rene Hen; Jonathan Javitch; Helen Mayberg; Bruce McEwen; Michael J Meaney; Eric J Nestler
Journal:  Neurosci Biobehav Rev       Date:  2017-08-30       Impact factor: 8.989

Review 6.  Translation gone awry: differences between commonsense and science.

Authors:  Michael Rutter; Tytti Solantaus
Journal:  Eur Child Adolesc Psychiatry       Date:  2013-10-19       Impact factor: 4.785

7.  microRNA-15b contributes to depression-like behavior in mice by affecting synaptic protein levels and function in the nucleus accumbens.

Authors:  Li Guo; Zhaoming Zhu; Guangyan Wang; Shan Cui; Meng Shen; Zhenhua Song; Jin-Hui Wang
Journal:  J Biol Chem       Date:  2020-03-24       Impact factor: 5.157

Review 8.  The neurobiological correlates of childhood adversity and implications for treatment.

Authors:  A R Tyrka; D E Burgers; N S Philip; L H Price; L L Carpenter
Journal:  Acta Psychiatr Scand       Date:  2013-05-10       Impact factor: 6.392

9.  Epigenetic Modulation of Mood Disorders.

Authors:  T Archer; M Oscar-Berman; K Blum; Ms Gold
Journal:  J Genet Syndr Gene Ther       Date:  2013-02-11

10.  Response to citalopram is not associated with SLC6A4 genotype in African-Americans and Caucasians with major depression.

Authors:  Russell E Poland; Ira M Lesser; Yu-Jui Yvonne Wan; Lev Gertsik; Jie Yao; Leslie J Raffel; Keh-Ming Lin; Hector F Myers
Journal:  Life Sci       Date:  2013-04-03       Impact factor: 5.037

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