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Journal Article

Citation

Pompili M, Gentile G, Scassellati C, Bonvicini C, Innamorati M, Erbuto D, Montebovi F, Ducci G, Forte A, De Pisa E, Ferracuti S, Serafini G, De Luca V, Amore M, Simmaco M, Girardi P. Neurosci. Lett. 2017; 656: 94-102.

Affiliation

Department of Neurosciences, Mental Health and Sensory Organs, Suicide Prevention Center, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy.

Copyright

(Copyright © 2017, Elsevier Publishing)

DOI

10.1016/j.neulet.2017.07.020

PMID

28716530

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(2)=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.

Copyright © 2017 Elsevier B.V. All rights reserved.


Language: en

Keywords

GNB3; Suicide attempt risk; gender; phenotype dissection; polygenic risk score; polymorphisms; serotonin pathway

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