ArticleAging2019
Integrating genome-wide association study with regulatory SNP annotation information identified candidate genes and pathways for schizophrenia.
Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Genome-Wide Identification of Candidate Genes Associated with Antler Weight in Tahe Red Deer.Animals : an open access journal from MDPI · 2026Article
- CD73 polymorphisms are associated with schizophrenia.Purinergic signalling · 2025Article
- A Novel Gene Controls a New Structure: PiggyBac Transposable Element-Derived 1, Unique to Mammals, Controls Mammal-Specific Neuronal Paraspeckles.Molecular biology and evolution · 2022Article
- COVID-19: Reduced Lung Function and Increased Psycho-emotional Stress.Bioinformation · 2020Article
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Authors and funding
15 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSchizophrenia is a complex mental disorder. The genetic mechanism of schizophrenia remains elusive now.
methodsWe conducted a large-scale integrative analysis of two genome-wide association studies of schizophrenia with functional annotation datasets of regulatory single-nucleotide polymorphism (rSNP). The significant SNPs identified by the two genome-wide association studies were first annotated to obtain schizophrenia associated rSNPs and their target genes and proteins, respectively. We then compared the integrative analysis results to identify the common rSNPs and their target regulatory genes and proteins, shared by the two genome-wide association studies of schizophrenia. Finally, DAVID tool was used to conduct gene ontology and pathway enrichment analysis of the identified targets genes and proteins.
resultsWe detected 53 schizophrenia-associated target genes for rSNP, such as FOS (
conclusionWe detected multiple candidate genes, gene ontology terms and pathways for schizophrenia, supporting the functional importance of rSNPs, and providing novel clues for understanding the genetic architecture of schizophrenia.
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