Evidence map›Paper›PMID 37542622›Full record

ReviewMetabolic brain disease2024

Schizophrenia in the genetic era: a review from development history, clinical features and genomic research approaches to insights of susceptibility genes.

Ye Lv, Lin Wen, Wen-Juan Hu, Chong Deng, Hui-Wen Ren, Ya-Nan Bao, Bo-Wei Su, Ping Gao, Zi-Yue Man, Yi-Yang Luo and 4 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Metabolic brain disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. 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

14 authors.

Ye Lv *Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China.ORCID 0000-0001-7920-074X
Lin Wen *Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China.ORCID 0009-0009-4042-1006
Wen-Juan HuAdvanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China.ORCID 0009-0008-3423-0388
Chong DengDepartment of Neurosurgery, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116027, China.ORCID 0009-0008-3623-5668
Hui-Wen RenAdvanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China.ORCID 0000-0002-6037-8561
Ya-Nan BaoAdvanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China.ORCID 0009-0007-4967-3379
Bo-Wei SuAdvanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China.ORCID 0000-0002-2879-7176
Ping GaoAdvanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China.ORCID 0009-0006-4517-6837
Zi-Yue ManAdvanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China.ORCID 0009-0004-3754-1406
Yi-Yang LuoAdvanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China.ORCID 0000-0001-5044-2753
Cheng-Jie LiAdvanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China.ORCID 0000-0003-3649-4455
Zhi-Xin XiangAdvanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China.ORCID 0009-0001-5863-0086
Bing WangDepartment of Endocrinology and Metabolism, The Central hospital of Dalian University of Technology, Dalian, 116000, China. wangbing_1999_1981@163.com.ORCID 0000-0003-0810-0789
Zhi-Lin LuanAdvanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China. zhilin_luan@sina.com.ORCID 0000-0003-0774-4718

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia is a devastating neuropsychiatric disorder affecting 1% of the world population and ranks as one of the disorders providing the most severe burden for society. Schizophrenia etiology remains obscure involving multi-risk factors, such as genetic, environmental, nutritional, and developmental factors. Complex interactions of genetic and environmental factors have been implicated in the etiology of schizophrenia. This review provides an overview of the historical origins, pathophysiological mechanisms, diagnosis, clinical symptoms and corresponding treatment of schizophrenia. In addition, as schizophrenia is a polygenic, genetic disorder caused by the combined action of multiple micro-effective genes, we further detail several approaches, such as candidate gene association study (CGAS) and genome-wide association study (GWAS), which are commonly used in schizophrenia genomics studies. A number of GWASs about schizophrenia have been performed with the hope to identify novel, consistent and influential risk genetic factors. Finally, some schizophrenia susceptibility genes have been identified and reported in recent years and their biological functions are also listed. This review may serve as a summary of past research on schizophrenia genomics and susceptibility genes (NRG1, DISC1, RELN, BDNF, MSI2), which may point the way to future schizophrenia genetics research. In addition, depending on the above discovery of susceptibility genes and their exact function, the development and application of antipsychotic drugs will be promoted in the future.

Indexed as

SchizophreniaGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansPolymorphism, Single NucleotideRNA-Binding ProteinsMSI2 protein, humanRNA-Binding ProteinsCandidate gene association study (CGAS)GeneticsGenome-wide association study (GWAS)SchizophreniaSingle nucleotide polymorphism (SNP)Susceptibility gene

Identifiers

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.