Genetic association analysis of serotonin and signal transduction pathways in suicide attempters from an Italian sample of psychiatric patients.
Details
Serval ID
serval:BIB_51A89EC09035
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Genetic association analysis of serotonin and signal transduction pathways in suicide attempters from an Italian sample of psychiatric patients.
Journal
Neuroscience letters
ISSN
1872-7972 (Electronic)
ISSN-L
0304-3940
Publication state
Published
Issued date
24/08/2017
Peer-reviewed
Oui
Volume
656
Pages
94-102
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Publication Status: ppublish
Abstract
Genetic factors have been reported to contribute to the liability of suicide. We aimed to investigate functional polymorphisms in eight genes (serotonin transporter, SLC6A4; receptors, 5HTR1A, 1B, 5HTR2A; Tryptophan Hydroxylase, TPH1, TPH2; Monoamine Oxidase, MAOA and G Protein Subunit Beta 3, GNB3) to investigate their predictive value for suicide. The possible confounding effects of gender and phenotypic patients dissection were also valued. A sample of 111 consecutive psychiatric inpatients was recruited and assessed using specific psychometric instruments. Genomic DNA was isolated from peripheral white blood cell samples and polymorphisms were genotyped by pyrosequencing technology. Although no differences were observed between allele and genotype frequencies for all polymorphisms and suicide attempt (SA), a polygenic risk score was detected for three genes HTR2A (A-1438G), TPH1 and TPH2 increasing the prediction of SA risk (Thresh=0.43, p=0.038, R <sup>2</sup> =0.053). Moreover some nominal associations were obtained after gender and phenotypic dissection stratification (TEMPS-A, TEMPs-H, GSMD, SHSS, GAF, CGI) for SLC6A4 (5-HTTLPR), HTR1A (C-1019G), HTR2A (A-1438G), TPH1 (A799C) and GNB3 (C825T) genes, that were lost after Bonferroni correction. This is a first evidence that specific additive combinations of genes could increase the prediction of SA risk and that gender and phenotypic dissection could influence the association of the genes with SA. This could represent a further study also for future meta-analyses on larger samples.
Keywords
Acute Disease, Adult, Bipolar Disorder/genetics, Bipolar Disorder/metabolism, Chronic Disease, Depressive Disorder, Major/genetics, Depressive Disorder, Major/metabolism, Female, Genetic Association Studies, Humans, Male, Middle Aged, Personality Disorders/genetics, Personality Disorders/metabolism, Polymorphism, Genetic, Psychotic Disorders/genetics, Psychotic Disorders/metabolism, Risk, Schizophrenia/genetics, Schizophrenia/metabolism, Serotonin/physiology, Sex Factors, Signal Transduction, Suicide, Attempted, GNB3, Gender, Phenotype dissection, Polygenic risk score, Polymorphisms, Serotonin pathway, Suicide attempt risk
Pubmed
Web of science
Create date
13/06/2023 15:37
Last modification date
17/07/2023 9:39