Literature DB >> 29778546

Imaging genetics paradigms in depression research: Systematic review and meta-analysis.

Lícia P Pereira1, Cristiano A Köhler2, Brendon Stubbs3, Kamilla W Miskowiak4, Gerwyn Morris5, Bárbara P de Freitas2, Trevor Thompson6, Brisa S Fernandes7, André R Brunoni8, Michael Maes9, Diego A Pizzagalli10, André F Carvalho11.   

Abstract

Imaging genetics studies involving participants with major depressive disorder (MDD) have expanded. Nevertheless, findings have been inconsistent. Thus, we conducted a systematic review and meta-analysis of imaging genetics studies that enrolled MDD participants across major databases through June 30th, 2017. Sixty-five studies met eligibility criteria (N = 4034 MDD participants and 3293 controls), and there was substantial between-study variability in the methodological quality of included studies. However, few replicated findings emerged from this literature with only 22 studies providing data for meta-analyses (882 participants with MDD and 616 controls). Total hippocampal volumes did not significantly vary in MDD participants or controls carrying either the BDNF Val66Met 'Met' (386 participants with MDD and 376 controls) or the 5-HTTLPR short 'S' (310 participants with MDD and 230 controls) risk alleles compared to non-carriers. Heterogeneity across studies was explored through meta-regression and subgroup analyses. Gender distribution, the use of medications, segmentation methods used to measure the hippocampus, and age emerged as potential sources of heterogeneity across studies that assessed the association of 5-HTTLPR short 'S' alleles and hippocampal volumes. Our data also suggest that the methodological quality of included studies, publication year, and the inclusion of brain volume as a covariate contributed to the heterogeneity of studies that assessed the association of the BDNF Val66Met 'Met' risk allele and hippocampal volumes. In exploratory voxel-wise meta-analyses, MDD participants carrying the 5-HTTLPR short 'S' allele had white matter microstructural abnormalities predominantly in the corpus callosum, while carriers of the BDNF Val66Met 'Met' allele had larger gray matter volumes and hyperactivation of the right middle frontal gyrus compared to non-carriers. In conclusion, few replicated findings emerged from imaging genetics studies that included participants with MDD. Nevertheless, we explored and identified specific sources of heterogeneity across studies, which could provide insights to enhance the reproducibility of this emerging field.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Depression; Diffusion tensor imaging; Genetic polymorphisms; Magnetic resonance imaging; Meta-analysis; Voxel-based morphometry

Mesh:

Year:  2018        PMID: 29778546      PMCID: PMC6240165          DOI: 10.1016/j.pnpbp.2018.05.012

Source DB:  PubMed          Journal:  Prog Neuropsychopharmacol Biol Psychiatry        ISSN: 0278-5846            Impact factor:   5.067


  83 in total

Review 1.  The serotonin transporter in psychiatric disorders: insights from PET imaging.

Authors:  Marie Spies; Gitte M Knudsen; Rupert Lanzenberger; Siegfried Kasper
Journal:  Lancet Psychiatry       Date:  2015-08       Impact factor: 27.083

2.  Differential failure to deactivate the default mode network in unipolar and bipolar depression.

Authors:  Elena Rodríguez-Cano; Silvia Alonso-Lana; Salvador Sarró; Paloma Fernández-Corcuera; José M Goikolea; Eduard Vieta; Teresa Maristany; Raymond Salvador; Peter J McKenna; Edith Pomarol-Clotet
Journal:  Bipolar Disord       Date:  2017-07-17       Impact factor: 6.744

3.  Serotonin transporter gene status predicts caudate nucleus but not amygdala or hippocampal volumes in older persons with major depression.

Authors:  Ian B Hickie; Sharon L Naismith; Philip B Ward; Elizabeth M Scott; Philip B Mitchell; Peter R Schofield; Anna Scimone; Kay Wilhelm; Gordon Parker
Journal:  J Affect Disord       Date:  2006-08-23       Impact factor: 4.839

4.  Meta-analysis in clinical trials.

Authors:  R DerSimonian; N Laird
Journal:  Control Clin Trials       Date:  1986-09

Review 5.  Enhancing the Informativeness and Replicability of Imaging Genomics Studies.

Authors:  Cameron S Carter; Carrie E Bearden; Edward T Bullmore; Daniel H Geschwind; David C Glahn; Raquel E Gur; Andreas Meyer-Lindenberg; Daniel R Weinberger
Journal:  Biol Psychiatry       Date:  2016-08-20       Impact factor: 13.382

6.  Genetic variant BDNF (Val66Met) polymorphism alters anxiety-related behavior.

Authors:  Zhe-Yu Chen; Deqiang Jing; Kevin G Bath; Alessandro Ieraci; Tanvir Khan; Chia-Jen Siao; Daniel G Herrera; Miklos Toth; Chingwen Yang; Bruce S McEwen; Barbara L Hempstead; Francis S Lee
Journal:  Science       Date:  2006-10-06       Impact factor: 47.728

7.  White matter changes in healthy adolescents at familial risk for unipolar depression: a diffusion tensor imaging study.

Authors:  Hao Huang; Xin Fan; Douglas E Williamson; Uma Rao
Journal:  Neuropsychopharmacology       Date:  2010-11-17       Impact factor: 7.853

8.  'Hot' cognition in major depressive disorder: a systematic review.

Authors:  Kamilla W Miskowiak; Andre F Carvalho
Journal:  CNS Neurol Disord Drug Targets       Date:  2014       Impact factor: 4.388

9.  Hippocampal volume and serotonin transporter polymorphism in major depressive disorder.

Authors:  Jamila Ahdidan; Leslie Foldager; Raben Rosenberg; Anders Rodell; Poul Videbech; Ole Mors
Journal:  Acta Neuropsychiatr       Date:  2013-08       Impact factor: 3.403

Review 10.  Research review: Polygenic methods and their application to psychiatric traits.

Authors:  Naomi R Wray; Sang Hong Lee; Divya Mehta; Anna A E Vinkhuyzen; Frank Dudbridge; Christel M Middeldorp
Journal:  J Child Psychol Psychiatry       Date:  2014-08-01       Impact factor: 8.982

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  5 in total

1.  Dopamine Multilocus Genetic Profile, Spontaneous Activity of Left Superior Temporal Gyrus, and Early Therapeutic Effect in Major Depressive Disorder.

Authors:  Xiaoyun Liu; Zhenghua Hou; Yingying Yin; Chunming Xie; Haisan Zhang; Hongxing Zhang; Zhijun Zhang; Yonggui Yuan
Journal:  Front Psychiatry       Date:  2020-12-22       Impact factor: 4.157

2.  Association between genetic variants and depression in a Romanian cohort.

Authors:  Andrei Costache; Anca Lelia Riza; Mihaela Popescu; Ioana Streaţă; Mihaela Eugenia Dincă; Daniela Gabriela Glăvan; Ionela Mihaela Vladu; Ion Udriştoiu; Mihai Ioana
Journal:  Rom J Morphol Embryol       Date:  2021 Apr-Jun       Impact factor: 1.033

3.  Genetic polymorphisms in COMT and BDNF influence synchronization dynamics of human neuronal oscillations.

Authors:  Jaana Simola; Felix Siebenhühner; Vladislav Myrov; Katri Kantojärvi; Tiina Paunio; J Matias Palva; Elvira Brattico; Satu Palva
Journal:  iScience       Date:  2022-08-18

Review 4.  Dissecting diagnostic heterogeneity in depression by integrating neuroimaging and genetics.

Authors:  Amanda M Buch; Conor Liston
Journal:  Neuropsychopharmacology       Date:  2020-08-11       Impact factor: 8.294

5.  Comparison of Regression and Machine Learning Methods in Depression Forecasting Among Home-Based Elderly Chinese: A Community Based Study.

Authors:  Shaowu Lin; Yafei Wu; Ya Fang
Journal:  Front Psychiatry       Date:  2022-01-17       Impact factor: 4.157

  5 in total

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