Evidence map›Paper›PMID 25652814›Full record

ReviewNeuroscience bulletin2015

Genetic studies of schizophrenia: an update.

Jingchun Chen, Fei Cao, Lanfen Liu, Lina Wang, Xiangning Chen

Abstract readReview
In one paragraph

Review in Neuroscience bulletin, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Mechanisms Underlying the Comorbidity of Schizophrenia and Type 2 Diabetes Mellitus.The international journal of neuropsychopharmacology · 2021
    Review
  7. Article
  8. Article
  9. Double-Edged Sword of Tumour Suppressor Genes in Schizophrenia.Frontiers in molecular neuroscience · 2019
    Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. 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

5 authors.

Jingchun ChenVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, 23298, USA, jchen@vcu.edu.
Fei Cao
Lanfen Liu
Lina Wang
Xiangning Chen

Funding

Understanding the genetic architecture of schizophrenia in Chinese populationR01MH101054 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI CHEN, XIANGNING · 2013 to 2015
$602k
NIMH NIH HHS MH101054NIMH NIH HHS R01 MH101054
6 · The paper itself

Abstract

Schizophrenia (SCZ) is a complex and heterogeneous mental disorder that affects about 1% of global population. In recent years, considerable progress has been made in genetic studies of SCZ. A number of common variants with small effects and rare variants with relatively larger effects have been identified. These variants include risk loci identified by genome-wide association studies, rare copy-number variants identified by comparative genomic analyses, and de novo mutations identified by high-throughput DNA sequencing. Collectively, they contribute to the heterogeneity of the disease. In this review, we update recent discoveries in the field of SCZ genetics, and outline the perspectives of future directions.

Indexed as

MutationDNA Copy Number VariationsGenome-Wide Association StudyHumansSchizophrenia

Identifiers

PMID25652814
PMCPMC5562645

What OpenQuestion holds

Textmetadata
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.