Literature DB >> 30468137

Genome-wide association study of treatment-resistance in depression and meta-analysis of three independent samples.

Chiara Fabbri1, Siegfried Kasper2, Alexander Kautzky3, Lucie Bartova3, Markus Dold4, Joseph Zohar5, Daniel Souery6, Stuart Montgomery7, Diego Albani8, Ilaria Raimondi9, Dimitris Dikeos10, Dan Rujescu11, Rudolf Uher12, Cathryn M Lewis13, Julien Mendlewicz14, Alessandro Serretti15.   

Abstract

BACKGROUND: Treatment-resistant depression (TRD) is the most problematic outcome of depression in terms of functional impairment, suicidal thoughts and decline in physical health.AimsTo investigate the genetic predictors of TRD using a genome-wide approach to contribute to the development of precision medicine.
METHOD: A sample recruited by the European Group for the Study of Resistant Depression (GSRD) including 1148 patients with major depressive disorder (MDD) was characterised for the occurrence of TRD (lack of response to at least two adequate antidepressant treatments) and genotyped using the Infinium PsychArray. Three clinically relevant patient groups were considered: TRD, responders and non-responders to the first antidepressant trial, thus outcomes were based on comparisons of these groups. Genetic analyses were performed at the variant, gene and gene-set (i.e. functionally related genes) level. Additive regression models of the outcomes and relevant covariates were used in the GSRD participants and in a fixed-effect meta-analysis performed between GSRD, STAR*D (n = 1316) and GENDEP (n = 761) participants.
RESULTS: No individual polymorphism or gene was associated with TRD, although some suggestive signals showed enrichment in cytoskeleton regulation, transcription modulation and calcium signalling. Two gene sets (GO:0043949 and GO:0000183) were associated with TRD versus response and TRD versus response and non-response to the first treatment in the GSRD participants and in the meta-analysis, respectively (corrected P = 0.030 and P = 0.027).
CONCLUSIONS: The identified gene sets are involved in cyclic adenosine monophosphate mediated signal and chromatin silencing, two processes previously implicated in antidepressant action. They represent possible biomarkers to implement personalised antidepressant treatments and targets for new antidepressants.Declaration of interestD.S. has received grant/research support from GlaxoSmithKline and Lundbeck; has served as a consultant or on advisory boards for AstraZeneca, Bristol-Myers Squibb, Eli Lilly, Janssen and Lundbeck. S.M. has been a consultant or served on advisory boards for: AstraZeneca, Bristol-Myers Squibb, Forest, Johnson & Johnson, Leo, Lundbeck, Medelink, Neurim, Pierre Fabre, Richter. S.K. has received grant/research support from Eli Lilly, Lundbeck, Bristol-Myers Squibb, GlaxoSmithKline, Organon, Sepracor and Servier; has served as a consultant or on advisory boards for AstraZeneca, Bristol-Myers Squibb, GlaxoSmithKline, Eli Lilly, Lundbeck, Pfizer, Organon, Schwabe, Sepracor, Servier, Janssen and Novartis; and has served on speakers' bureaus for AstraZeneca, Eli Lily, Lundbeck, Schwabe, Sepracor, Servier, Pierre Fabre, Janssen and Neuraxpharm. J.Z. has received grant/research support from Lundbeck, Servier, Brainsway and Pfizer, has served as a consultant or on advisory boards for Servier, Pfizer, Abbott, Lilly, Actelion, AstraZeneca and Roche and has served on speakers' bureaus for Lundbeck, Roch, Lilly, Servier, Pfizer and Abbott. J.M. is a member of the Board of the Lundbeck International Neuroscience Foundation and of Advisory Board of Servier. A.S. is or has been consultant/speaker for: Abbott, AbbVie, Angelini, Astra Zeneca, Clinical Data, Boehringer, Bristol Myers Squibb, Eli Lilly, GlaxoSmithKline, Innovapharma, Italfarmaco, Janssen, Lundbeck, Naurex, Pfizer, Polifarma, Sanofi and Servier. C.M.L. receives research support from RGA UK Services Limited.

Entities:  

Keywords:  GWAS; Treatment-resistant depression; antidepressants; pathway; polymorphism

Year:  2018        PMID: 30468137     DOI: 10.1192/bjp.2018.256

Source DB:  PubMed          Journal:  Br J Psychiatry        ISSN: 0007-1250            Impact factor:   9.319


  13 in total

1.  Polymorphisms of COMT and CREB1 are associated with treatment-resistant depression in a Chinese Han population.

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2.  Identifying the Common Genetic Basis of Antidepressant Response.

Authors:  Oliver Pain; Karen Hodgson; Vassily Trubetskoy; Stephan Ripke; Victoria S Marshe; Mark J Adams; Enda M Byrne; Adrian I Campos; Tania Carrillo-Roa; Annamaria Cattaneo; Thomas D Als; Daniel Souery; Mojca Z Dernovsek; Chiara Fabbri; Caroline Hayward; Neven Henigsberg; Joanna Hauser; James L Kennedy; Eric J Lenze; Glyn Lewis; Daniel J Müller; Nicholas G Martin; Benoit H Mulsant; Ole Mors; Nader Perroud; David J Porteous; Miguel E Rentería; Charles F Reynolds; Marcella Rietschel; Rudolf Uher; Eleanor M Wigmore; Wolfgang Maier; Naomi R Wray; Katherine J Aitchison; Volker Arolt; Bernhard T Baune; Joanna M Biernacka; Guido Bondolfi; Katharina Domschke; Masaki Kato; Qingqin S Li; Yu-Li Liu; Alessandro Serretti; Shih-Jen Tsai; Gustavo Turecki; Richard Weinshilboum; Andrew M McIntosh; Cathryn M Lewis
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Review 3.  Uncovering the Genetic Architecture of Major Depression.

Authors:  Andrew M McIntosh; Patrick F Sullivan; Cathryn M Lewis
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4.  Different responses to risperidone treatment in Schizophrenia: a multicenter genome-wide association and whole exome sequencing joint study.

Authors:  Mingzhe Zhao; Jingsong Ma; Mo Li; Wenli Zhu; Wei Zhou; Lu Shen; Hao Wu; Na Zhang; Shaochang Wu; Chunpeng Fu; Xianxi Li; Ke Yang; Tiancheng Tang; Ruoxi Shen; Lin He; Cong Huai; Shengying Qin
Journal:  Transl Psychiatry       Date:  2022-04-28       Impact factor: 7.989

5.  Citalopram-induced pathways regulation and tentative treatment-outcome-predicting biomarkers in lymphoblastoid cell lines from depression patients.

Authors:  Abdul Karim Barakat; Catharina Scholl; Michael Steffens; Kerstin Brandenburg; Marcus Ising; Susanne Lucae; Florian Holsboer; Gonzalo Laje; Ganna V Kalayda; Ulrich Jaehde; Julia Carolin Stingl
Journal:  Transl Psychiatry       Date:  2020-07-01       Impact factor: 6.222

6.  Pharmacogenetics and Depression: A Critical Perspective.

Authors:  Filippo Corponi; Chiara Fabbri; Alessandro Serretti
Journal:  Psychiatry Investig       Date:  2019-08-29       Impact factor: 2.505

7.  Predicting SSRI-Resistance: Clinical Features and tagSNPs Prediction Models Based on Support Vector Machine.

Authors:  Huijie Zhang; Xianglu Li; Jianyue Pang; Xiaofeng Zhao; Suxia Cao; Xinyou Wang; Xingbang Wang; Hengfen Li
Journal:  Front Psychiatry       Date:  2020-06-03       Impact factor: 4.157

8.  Genetic underpinnings of affective temperaments: a pilot GWAS investigation identifies a new genome-wide significant SNP for anxious temperament in ADGRB3 gene.

Authors:  Xenia Gonda; Nora Eszlari; Dora Torok; Zsofia Gal; Janos Bokor; Andras Millinghoffer; Daniel Baksa; Peter Petschner; Peter Antal; Gerome Breen; Gabriella Juhasz; Gyorgy Bagdy
Journal:  Transl Psychiatry       Date:  2021-06-01       Impact factor: 6.222

9.  A polygenic predictor of treatment-resistant depression using whole exome sequencing and genome-wide genotyping.

Authors:  Chiara Fabbri; Siegfried Kasper; Alexander Kautzky; Joseph Zohar; Daniel Souery; Stuart Montgomery; Diego Albani; Gianluigi Forloni; Panagiotis Ferentinos; Dan Rujescu; Julien Mendlewicz; Rudolf Uher; Cathryn M Lewis; Alessandro Serretti
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Review 10.  Genetics and major depressive disorder: clinical implications for disease risk, prognosis and treatment.

Authors:  Chiara Fabbri; Stuart Montgomery; Cathryn M Lewis; Alessandro Serretti
Journal:  Int Clin Psychopharmacol       Date:  2020-09       Impact factor: 2.023

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