Evidence map›Paper›PMID 29778546›Full record

SynthesisProgress in neuro-psychopharmacology & biological psychiatry2018

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

Lícia P Pereira, Cristiano A Köhler, Brendon Stubbs, Kamilla W Miskowiak, Gerwyn Morris, Bárbara P de Freitas, Trevor Thompson, Brisa S Fernandes, André R Brunoni, Michael Maes and 2 more

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Progress in neuro-psychopharmacology & biological psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Genetic polymorphisms iniScience · 2022
    Article
  6. Machine Learning and Deep Learning for the Pharmacogenomics of Antidepressant Treatments.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2021
    Review
  7. Article
  8. Article
  9. Deep Learning with Neuroimaging and Genomics in Alzheimer's Disease.International journal of molecular sciences · 2021
    Review
  10. Article
  11. Article
  12. Neuroscience-Informed Treatments.Focus (American Psychiatric Publishing) · 2019
    Article
  13. Association between genetic variants and depression in a Romanian cohort.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 10 institutions in 8 countries.

Lícia P PereiraDepartment of Clinical Medicine, Translational Psychiatry Research Group, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil; Centre for Addiction & Mental Health (CAMH), Toronto, ON, Canada.
Cristiano A KöhlerDepartment of Clinical Medicine, Translational Psychiatry Research Group, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil.
Brendon StubbsInstitute for Clinical Research and Education in Medicine (IREM), Padova, Italy; South London and Maudsley NHS Foundation Trust, Denmark Hill, London SE5 8AZ, United Kingdom; Psychology and Neuroscience (IoPPN), King's College London, Institute of Psychiatry,De Crespigny Park, London SE5 8 AF, United Kingdom; Faculty of Health, Social Care and Education, Anglia Ruskin University, Chelmsford CM1 1SQ, United Kingdom.
Kamilla W MiskowiakCopenhagen Affective Disorders Research Centre, Copenhagen Psychiatric Centre, Copenhagen University Hospital, Rigshospitalet, Denmark.
Gerwyn MorrisIMPACT Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Australia.
Bárbara P de FreitasDepartment of Clinical Medicine, Translational Psychiatry Research Group, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil.
Trevor ThompsonFaculty of Education and Health, University of Greenwich, London, United Kingdom.
Brisa S FernandesIMPACT Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Australia; Department of Biochemistry, Laboratory of Calcium Binding Proteins in the Central Nervous System, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
André R BrunoniDepartment and Institute of Psychiatry, Service of Interdisciplinary Neuromodulation, Laboratory of Neurosciences (LIM-27), Interdisciplinary Center for Applied Neuromodulation University Hospital, University of São Paulo, São Paulo, Brazil.
Michael MaesIMPACT Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Australia; Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria.
Diego A PizzagalliDepartment of Psychiatry, Harvard Medical School, Belmont, MA 02478, USA; McLean Hospital, Belmont, MA 02478, USA.
André F CarvalhoMcLean Hospital, Belmont, MA 02478, USA; Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Electronic address: andre.carvalho@camh.ca.
Universidade Federal do Ceará · BRAnglia Ruskin University · GBDeakin University · AUHarvard University · USMcLean Hospital · USMedical University Plovdiv · BGRigshospitalet · DKUniversidade de São Paulo · BRUniversidade Federal do Rio Grande do Sul · BRUniversity of Greenwich · GB

Funding

Neuroimaging Studies of Reward Processing in DepressionR37MH068376 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI Diego A Pizzagalli · 2016 to 2026
$7.4M
Multi level Analysis of Positive Valence Systems Across Mood DisordersR01MH101521 · NIMH · MCLEAN HOSPITAL · PI PIZZAGALLI, DIEGO A · 2013 to 2016
$2.1M
Department of Health ICA-CL-2017-03-001NIMH NIH HHS R01 MH101521NIMH NIH HHS R37 MH068376
6 · The paper itself

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.

Indexed as

BrainHumansMajor Depressive DisorderDepressionDiffusion tensor imagingGenetic polymorphismsMagnetic resonance imagingMeta-analysisVoxel-based morphometry

Identifiers

PMID29778546
PMCPMC6240165
OpenAlexW2803619121

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.