Evidence map›Paper›PMID 23282246›Full record

ArticleBMC genomics2012

RNA-Seq analysis implicates dysregulation of the immune system in schizophrenia.

Junzhe Xu, Jingchun Sun, Jingchun Chen, Lily Wang, Anna Li, Matthew Helm, Steven L Dubovsky, Silviu-Alin Bacanu, Zhongming Zhao, Xiangning Chen

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
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  6. Single-cell genomics and regulatory networks for 388 human brains.bioRxiv : the preprint server for biology · 2024
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  9. Current State of Modeling Human Psychiatric Disorders Using Zebrafish.International journal of molecular sciences · 2023
    Review
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  14. Article
  15. Article
  16. Article
  17. Article
  18. Glioma in Schizophrenia: Is the Risk Higher or Lower?Frontiers in cellular neuroscience · 2018
    Review
  19. Article
  20. 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

10 authors at 4 institutions in 1 country.

Junzhe XuDepartment of psychiatry, School of Medicine, University at Buffalo, SUNY, Buffalo, NY 14260, USA.
Jingchun Sun
Jingchun Chen
Lily Wang
Anna Li
Matthew Helm
Steven L Dubovsky
Silviu-Alin Bacanu
Zhongming Zhao
Xiangning Chen
Vanderbilt University · USVirginia Commonwealth University · USUniversity at Buffalo, State University of New York · USVA Western New York Healthcare System · US

Funding

Mapping the Genetic Architecture of Complex Disease via RNA-seq and GWAS DataR01LM011177 · NLM · VANDERBILT UNIVERSITY · PI WANG, LILY, ZHAO, ZHONGMING · 2012 to 2014
$1.0M
NLM NIH HHS R01 LM011177NLM NIH HHS R01LM011177
6 · The paper itself

Abstract

backgroundWhile genome-wide association studies identified some promising candidates for schizophrenia, the majority of risk genes remained unknown. We were interested in testing whether integration gene expression and other functional information could facilitate the identification of susceptibility genes and related biological pathways.

resultsWe conducted high throughput sequencing analyses to evaluate mRNA expression in blood samples isolated from 3 schizophrenia patients and 3 healthy controls. We also conducted pooled sequencing of 10 schizophrenic patients and matched controls. Differentially expressed genes were identified by t-test. In the individually sequenced dataset, we identified 198 genes differentially expressed between cases and controls, of them 19 had been verified by the pooled sequencing dataset and 21 reached nominal significance in gene-based association analyses of a genome wide association dataset. Pathway analysis of these differentially expressed genes revealed that they were highly enriched in the immune related pathways. Two genes, S100A8 and TYROBP, had consistent changes in expression in both individual and pooled sequencing datasets and were nominally significant in gene-based association analysis.

conclusionsIntegration of gene expression and pathway analyses with genome-wide association may be an efficient approach to identify risk genes for schizophrenia.

Indexed as

Sequence Analysis, RNAAdaptor Proteins, Signal TransducingCalgranulin AGenome-Wide Association StudyHumansImmune SystemMembrane ProteinsRNA, MessengerSchizophreniaAdaptor Proteins, Signal TransducingCalgranulin AMembrane ProteinsRNA, MessengerTYROBP protein, human

Identifiers

PMID23282246
PMCPMC3535722
OpenAlexW1968523471

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.