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RNA Editing Patterns as Blood Biomarker for Predicting Suicide Risk

2024 Linked Standard

Amount Awarded: $450,000

Focus Area: Genetic

Helen Piontkivska, Ph.D.

Helen Piontkivska, Ph.D.

Kent State University

Melissa Gannon, M.A.

Melissa Gannon, M.A.

CHC Addiction Services

Inside the Research

Genetics can help us learn how to more optimally detect or predict suicide risk. Computational analyses of patient transcriptomes (genetic material) will be studied to identify relevant RNA or gene editing biomarkers associated with suicide risk. Participants who experienced recent suicidal ideation, as well as sex- and age-matched healthy controls, will be studied. The goal is to identify specific blood-based biomarkers associated with suicide attempts or suicidal ideation to help with prediction of risk for repeat attempts and to aid in development of future therapeutic treatments.