Suicide is a complex phenomenon comprised of biological and psychological risk factors, in addition to social, environmental, and economic contributors. The most consistent of these risk factors is the presence of a psychiatric illness. One of the challenges inherent in developing strategies for suicide prevention is that suicide is a rare and unpredictable event. It is extremel important, therefore, to identify biological markers that are associated with high risk for suicide Family, twin and adoption studies strongly suggest genetic contributions to suicide;furthermore, the genetic predilection for suicide appears to be largely independent of genetic liability to mental illness. To date, many conventional association studies have been performed but have not revealed any genetic variants that could be used as reliable predictors of suicide risk. In thi application we propose using alternate approaches which we expect to be more successful in identifying such predictors. Our first approach, (which will be explored in Specific Aim 1) is related to a rarely studied mechanism of homeostatic plasticity-RNA editing of serotonin 2C receptor (5-HT2CR). Editing can generate many different 5-HT2CR isoforms which vary in their functional activity, thus enabling the 5-HT2CR-expressing neurons to respond to both environmental and genetic perturbations. Our studies, as well as studies in other laboratories, have demonstrated that 5-HT2CR editing is altered in the prefrontal cortex (PFC) of suicide victims regardless of their underlying psychiatric illness. Thus, dysregulation of editing constitutes a biological factor that is strongly associated with completed suicide. 5-HT2CR is expressed at levels that can be reliably assayed only in the brain and spinal cord. Therefore, editing cannot be noninvasively measured in living individuals in the areas relevant to suicide (i.e., PFC). We hypothesize the existence of single nucleotide polymorphisms (SNPs) that are associated with 5-HT2CR editing, and in our preliminary studies we have already identified several such candidate SNPs. Here we aim to confirm these findings and to identify novel editing-associated SNPs in a significantly larger cohort of postmortem specimens (N=583). The editing-associated SNPs can be used as a proxy for measuring editing in the brain, and therefore, as predictors for suicide risk. Our second approach (Specific Aim 2) will be to uncover SNPs that are associated with behavioral traits that constitute susceptibility factors for suicide and are, therefore, considered to represent suicide-related endophenotypes. This strategy allows the deconstruction of suicide into parts that are less etiologically and geneticall heterogeneous. To this end, we will perform genome-wide association studies (GWASs) in a large cohort (N=1,200) of demographically and genetically homogeneous young male conscripts in the Greek Army. For these individuals the results of self-reporting measures and behavioral/psychophysiological assessments of suicide-related phenotypes, as well as genomic DNA specimens, have already been obtained and are available for us. Not all genetic components that are associated with editing or with suicide-related endophenotypes are specifically related to suicide. Therefore, in our last Aim we will determine which of the SNPs identified in Aims 1 and 2 are more likely to represent suicide-specific risk factors. To achieve this goal, we will use (1) large publicly available data sets of GWASs in psychiatric patients with and without a history of attempted suicide and (2) postmortem PFC specimens from psychiatric patients who died of suicide or by other means. When confirmed, the risk alleles could be measured in peripheral blood cells, thus providing biological correlates associated with liability to suicide. Mapping these alleles will also uncover pathways that are altered in the brains of people who are prone to suicidal behavior, hence opening new venues to the understanding of pathophysiology of suicide.

Public Health Relevance

Suicidal behavior has always been a serious problem for the Department of Veterans Affairs, because the suicide rate among Veterans has historically been higher than that of the general population. In recent years this disparity has become even larger due to our country's ongoing combat operations. One of the difficulties inherent in studying suicide and developing strategies for suicide prevention is that suicide is a rare and unexpected event. It is extremely important, therefore, to uncover biological markers that are closely associated with high risk for suicide in order to identify individuals at risk within vulnerable populations (i.e., among Veterans) and to provide these individuals with appropriate intervention treatments. This project aims to identify such biomarkers, which, when identified and confirmed, could be measured in peripheral blood cells, thus providing biological correlates associated with predisposition to suicide.

National Institute of Health (NIH)
Veterans Affairs (VA)
Non-HHS Research Projects (I01)
Project #
Application #
Study Section
Special Emphasis - Research on Clinical Application of Genetics (SPLC)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
James J Peters VA Medical Center
United States
Zip Code
Egervari, Gabor; Kozlenkov, Alexey; Dracheva, Stella et al. (2018) Molecular windows into the human brain for psychiatric disorders. Mol Psychiatry :
Kozlenkov, Alexey; Li, Junhao; Apontes, Pasha et al. (2018) A unique role for DNA (hydroxy)methylation in epigenetic regulation of human inhibitory neurons. Sci Adv 4:eaau6190
Kozlenkov, Alexey; Jaffe, Andrew E; Timashpolsky, Alisa et al. (2017) DNA Methylation Profiling of Human Prefrontal Cortex Neurons in Heroin Users Shows Significant Difference between Genomic Contexts of Hyper- and Hypomethylation and a Younger Epigenetic Age. Genes (Basel) 8:
Halene, Tobias B; Kozlenkov, Alexey; Jiang, Yan et al. (2016) NeuN+ neuronal nuclei in non-human primate prefrontal cortex and subcortical white matter after clozapine exposure. Schizophr Res 170:235-44
Kozlenkov, Alexey; Wang, Minghui; Roussos, Panos et al. (2016) Substantial DNA methylation differences between two major neuronal subtypes in human brain. Nucleic Acids Res 44:2593-612
Lu, Ake T; Hannon, Eilis; Levine, Morgan E et al. (2016) Genetic variants near MLST8 and DHX57 affect the epigenetic age of the cerebellum. Nat Commun 7:10561
Kozlenkov, Alexey; Roussos, Panos; Timashpolsky, Alisa et al. (2014) Differences in DNA methylation between human neuronal and glial cells are concentrated in enhancers and non-CpG sites. Nucleic Acids Res 42:109-27
Di Narzo, Antonio Fabio; Kozlenkov, Alexey; Roussos, Panos et al. (2014) A unique gene expression signature associated with serotonin 2C receptor RNA editing in the prefrontal cortex and altered in suicide. Hum Mol Genet 23:4801-13
Lyddon, Rebecca; Dwork, Andrew J; Keddache, Mehdi et al. (2013) Serotonin 2c receptor RNA editing in major depression and suicide. World J Biol Psychiatry 14:590-601
Lyddon, Rebecca; Navarrett, Scott; Dracheva, Stella (2012) Ionotropic glutamate receptor mRNA editing in the prefrontal cortex: no alterations in schizophrenia or bipolar disorder. J Psychiatry Neurosci 37:267-72