SynthesisJournal of molecular neuroscience : MN2007
Meta-analysis of 12 genomic studies in bipolar disorder.
Synthesis in Journal of molecular neuroscience : MN, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 7 of them syntheses that pooled 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.
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.
Who cites it
45 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Pooled it
- Transcriptomic Evidence for Alterations in Astrocytes and Parvalbumin Interneurons in Subjects With Bipolar Disorder and Schizophrenia.Biological psychiatry · 2018Pooled it
- dbMDEGA: a database for meta-analysis of differentially expressed genes in autism spectrum disorder.BMC bioinformatics · 2017Pooled it
- Identification of pathways for bipolar disorder: a meta-analysis.JAMA psychiatry · 2014Pooled it
- Systematic review of genome-wide gene expression studies of bipolar disorder.BMC psychiatry · 2013Pooled it
- A mega-analysis of genome-wide association studies for major depressive disorder.Molecular psychiatry · 2013Pooled it
- A cross-laboratory comparison of expression profiling data from normal human postmortem brain.Neuroscience · 2010Pooled it
- Small Complex Rearrangement inGenes · 2024Article
- Article
- Differential Expression of Proteins Associated with Bipolar Disorder as Identified Using the PeptideShaker Software.International journal of molecular sciences · 2023Article
- Infections, Inflammation, and Psychiatric Illness: Review of Postmortem Evidence.Current topics in behavioral neurosciences · 2023Review
- Non-CG methylation and multiple histone profiles associate child abuse with immune and small GTPase dysregulation.Nature communications · 2021Article
- Transcriptomic Insight Into the Polygenic Mechanisms Underlying Psychiatric Disorders.Biological psychiatry · 2021Review
- Double-Edged Sword of Tumour Suppressor Genes in Schizophrenia.Frontiers in molecular neuroscience · 2019Review
- Altered Light Conditions Contribute to Abnormalities in Emotion and Cognition Through HINT1 Dysfunction in C57BL/6 Mice.Frontiers in behavioral neuroscience · 2018Article
- Role of Protein Kinase C in Bipolar Disorder: A Review of the Current Literature.Molecular neuropsychiatry · 2017Review
- Effects ofBrain and behavior · 2017Article
- Identification of a Bipolar Disorder Vulnerable Gene CHDH at 3p21.1.Molecular neurobiology · 2017Article
- Axonal neuropathy with neuromyotonia: there is a HINT.Brain : a journal of neurology · 2017Review
- Increased PKC activity and altered GSK3β/NMDAR function drive behavior cycling in HINT1-deficient mice: bipolarity or opposing forces.Scientific reports · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple genome-wide expression studies of bipolar disorder have been published. However, a unified picture of the genomic basis for the disease has not yet emerged. Genes identified in one study often fail to be identified in other studies, prompting the question of whether microarray studies in the brain are inherently unreliable. To answer this question, we performed a meta-analysis of 12 microarray studies of bipolar disorder. These studies included >500 individual array samples, on a range of microarray platforms and brain regions. Although we confirmed that individual studies showed some differences in results, clear and striking regulation patterns emerged across the studies. These patterns were found at the individual gene level, at the functional level, and at the broader pathway level. The patterns were generally found to be reproducible across platform and region, and were highly statistically significant. We show that the seeming discordance between the studies was primarily a result of the following factors, which are also typical for other brain array studies: (1) Sample sizes were, in retrospect, too small; (2) criteria were at once too restrictive (generally focusing on fold changes >1.5) and too broad (generally using p < 0.05 or p < 0.01 as criteria for significance); and (3) statistical adjustments were not consistently applied for confounders. In addition to these general conclusions, we also summarize the primary biological findings of the meta-analysis, focusing on areas that confirm previous research and also on novel findings.
Indexed as
Identifiers
17726228What OpenQuestion holds
Registered trials
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.