Evidence map›Paper›PMID 23945090›Full record

SynthesisBMC psychiatry2013

Systematic review of genome-wide gene expression studies of bipolar disorder.

Fayaz Seifuddin, Mehdi Pirooznia, Jennifer T Judy, Fernando S Goes, James B Potash, Peter P Zandi

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 6 pooled it
8.1field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 6 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Pooled it
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  6. Blood transcriptomic comparison of individuals with and without autism spectrum disorder: A combined-samples mega-analysis.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017
    Pooled it
  7. Article
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  11. Review
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  13. HPA flexibility andPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  14. Article
  15. Psychiatric Diagnoses and Medications in Wolfram Syndrome.Scandinavian journal of child and adolescent psychiatry and psychology · 2022
    Article
  16. Article
  17. Article
  18. Association of Key Genes and Pathways with Atopic Dermatitis by Bioinformatics Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
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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

6 authors at 2 institutions in 1 country.

Fayaz SeifuddinDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA. pzandi@jhsph.edu.
Mehdi Pirooznia
Jennifer T Judy
Fernando S Goes
James B Potash
Peter P Zandi
Johns Hopkins Medicine · USUniversity of Iowa · US

Funding

Metamoodics: Meta-analyses and bioinformatics display of mood disorders geneticsR01MH083738 · NIMH · JOHNS HOPKINS UNIVERSITY · PI ZANDI, PETER P. · 2010 to 2012
$977k
Novel Analytic Methods for Rare Variant Detection in Bipolar DisorderK01MH093809 · NIMH · JOHNS HOPKINS UNIVERSITY · PI PIROOZNIA, MEHDI · 2011 to 2015
$886k
NIMH NIH HHS K01 MH093809NIMH NIH HHS R01-MH083738
6 · The paper itself

Abstract

backgroundNumerous genome-wide gene expression studies of bipolar disorder (BP) have been carried out. These studies are heterogeneous, underpowered and use overlapping samples. We conducted a systematic review of these studies to synthesize the current findings.

methodsWe identified all genome-wide gene expression studies on BP in humans. We then carried out a quantitative mega-analysis of studies done with post-mortem brain tissue. We obtained raw data from each study and used standardized procedures to process and analyze the data. We then combined the data and conducted three separate mega-analyses on samples from 1) any region of the brain (9 studies); 2) the prefrontal cortex (PFC) (6 studies); and 3) the hippocampus (2 studies). To minimize heterogeneity across studies, we focused primarily on the most numerous, recent and comprehensive studies.

resultsA total of 30 genome-wide gene expression studies of BP done with blood or brain tissue were identified. We included 10 studies with data on 211 microarrays on 57 unique BP cases and 229 microarrays on 60 unique controls in the quantitative mega-analysis. A total of 382 genes were identified as significantly differentially expressed by the three analyses. Eleven genes survived correction for multiple testing with a q-value < 0.05 in the PFC. Among these were FKBP5 and WFS1, which have been previously implicated in mood disorders. Pathway analyses suggested a role for metallothionein proteins, MAP Kinase phosphotases, and neuropeptides.

conclusionWe provided an up-to-date summary of results from gene expression studies of the brain in BP. Our analyses focused on the highest quality data available and provided results by brain region so that similarities and differences can be examined relative to disease status. The results are available for closer inspection on-line at Metamoodics [http://metamoodics.igm.jhmi.edu/], where investigators can look up any genes of interest and view the current results in their genomic context and in relation to leading findings from other genomic experiments in bipolar disorder.

Indexed as

Bipolar DisorderBrainGene ExpressionGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumans

Identifiers

PMID23945090
PMCPMC3765828
OpenAlexW2023084150

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.