Literature DB >> 31045331

Identification of gene ontology and pathways implicated in suicide behavior: Systematic review and enrichment analysis of GWAS studies.

Thelma B González-Castro1,2, Carlos A Tovilla-Zárate3, Alma D Genis-Mendoza4,5, Isela E Juárez-Rojop3, Humberto Nicolini4,5, María L López-Narváez6, José J Martínez-Magaña4.   

Abstract

Multiple large-scale studies such as genome-wide association studies (GWAS) have been performed to identify genetic contributors to suicidal behaviors (SB). We aimed to summarize and analyze the information obtained in SB GWAS, to explore the biological process gene ontology (GO) of genes associated with SB from GWAS, and to determine the possible implications of the genes associated with SB in Kyoto encyclopedias of genes and genomes (KEGG) biological pathways. The articles included in the analysis were obtained from PubMed and Scopus databases. Enrichment analyses were performed in Enrichr to evaluate the KEGG pathways and GO of the genes associated with SB of GWAS. The findings of biological process GO analysis showed 924 GO involved in genes related with SB; of those, the regulation of glucose import in response to insulin stimulus, regulation of protein localization to plasma membrane, positive regulation of endopeptidase activity, heterotypic cell-cell adhesion, regulation of cardiac muscle cell contraction, positive regulation of protein localization to plasma membrane, and positive regulation of protein localization to cell periphery biological process GO showed significant statistical association. Furthermore, we obtained 130 KEGG pathways involved in genes related with SB, which Aldosterone synthesis and secretion, Rap1 signaling pathway and arrhythmogenic right ventricular cardiomyopathy pathways showed a significant statistical association. These findings give a better perspective of the biological participation of genes associated with SB, which will be important to perform adequate strategies to prevent and treat SB.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  GWAS; genes; genetic architecture; pathways; suicide

Mesh:

Year:  2019        PMID: 31045331     DOI: 10.1002/ajmg.b.32731

Source DB:  PubMed          Journal:  Am J Med Genet B Neuropsychiatr Genet        ISSN: 1552-4841            Impact factor:   3.568


  8 in total

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4.  Identification of Key Genes and the Pathophysiology Associated With Major Depressive Disorder Patients Based on Integrated Bioinformatics Analysis.

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5.  Rare protein-coding variants implicate genes involved in risk of suicide death.

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Journal:  Psychol Med       Date:  2021-05-25       Impact factor: 7.723

  8 in total

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