Despite marked morbidity and mortality associated with suicidal behavior, accurate identification of individuals at risk remains elusive. The goal of this study is to identify a model based on single nucleotide polymorphisms (SNPs) that discriminates between suicide attempters and non-attempters using data mining strategies. We examined functional SNPs (n = 840) of 312 brain function and development genes using data mining techniques. Two hundred seventy-seven male psychiatric patients aged 18 years or older were recruited at a University hospital psychiatric emergency room or psychiatric short stay unit. The main outcome measure was history of suicide attempts. Three SNPs of three genes (rs10944288, HTR1E; hCV8953491, GABRP; and rs707216, ACTN2) correctly classified 67% of male suicide attempters and non-attempters (0.50 sensitivity, 0.82 specificity, positive likelihood ratio = 2.80, negative likelihood ratio = 1.64). The OR for the combined three SNPs was 4.60 (95% CI: 1.31-16.10). The model's accuracy suggests that in the future similar methodologies may generate simple genetic tests with diagnostic utility in identification of suicide attempters. This strategy may uncover new pathophysiological pathways regarding the neurobiology of suicidal acts.

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Limbic glutamatergic neurotransmission plays a pivotal role in the pathogenesis of anxiety disorders. Polyamines modulate the activity of several ionotropic glutamate receptors and have been involved in the regulation of fear-conditioning response. Spermidine/spermine N1-acetyltransferase (SSAT-1) is the main enzyme regulating polyamine catabolism. The aim of the present study was to examine the association between anxiety disorders and the -1415T/C (rs1960264) single nucleotide polymorphism (SNP) of the gene (SAT1) coding for SSAT-1. A case-control design was used in order to compare the genotypes for the -1415T/C (rs1960264) SNP between anxiety patients (n = 218), other non-anxiety psychiatric patients (n = 362), and healthy controls (n = 251). DSM-IV diagnoses were provided using MINI 4.4. Genomic DNA was extracted from peripheral blood samples collected from participants. In males, there was a significant difference in the distribution of the two genotypes (T and C) for the SAT-1 -1415T/C SNP between anxiety patients, non-anxiety psychiatric controls, and healthy controls. The T genotype was significantly more frequent in males suffering from anxiety disorders than in male psychiatric controls and healthy controls. This is the first study linking polymorphic variants of genes involved in polyamine metabolism with anxiety disorders.