Identification of genomic variants in regulatory elements associated with risk of suicide

Abstract

Suicide attempt is the consequence of a complex interaction between social traumatizing relations, environmental and genetics factors that might induce mood disorders. The genetic framework of schizophrenia, depression, bipolarity and anxiety disorders are very similar, with important genes involved in neurotransmission, circadian rhythm, serotonin pathways and more. We perform a non-coding scanning analysis using GWAS datasets of four previous suicidal attempts articles. P-value significant genetic variants ( ) were processed in a novel inferring software (http://inferno.lisanwanglab.org/index.php). We map up to 40 regulatory elements near to those genetic variants, that might be interfering in the expression of genes related to excitability of neurons, period and neuronal development, essential for a good mental health. This investigation allows the identification of new loci of interest related with suicidality and emphasizes the importance of including biological context enrichment to post GWAS analysis.