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Recent Breakthroughs in Genetic and Brain Structural Correlates of Suicidal Behaviors: A Short Review
Zuriel Ceja1, Laura S van Velzen2, Adrian I Campos3
1From the Brain & Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
Abstract:
Suicide accounts for more than 700,000 deaths annually and is the fourth leading cause of death among individuals aged 15 to 29 years. Despite years of research to understand the etiology and pathophysiology of suicidal behavior, many questions remain unresolved-for example, whether suicidal behavior has a unique genetic or neurobiological basis and how these differ from related psychiatric conditions, such as depression, bipolar disorder, schizophrenia, etc. Identifying these biological correlates is paramount to advancing our understanding of the mechanisms that underlie suicidal behavior. In this literature review, we examine the complex nature of suicidal thoughts and behaviors, integrating insights from large-scale genetic and neuroimaging studies published between 2018 and 2023. Recent genome-wide association studies have uncovered specific genomic loci associated with specific suicidal behaviors. However, there is a need for larger and more diverse samples in these studies to overcome challenges in replicability and generalizability. Neuroimaging studies have also revealed structural brain differences associated with suicidal behavior, thanks to international consortium-level efforts that have enabled data sharing, collaboration, and coordinated analyses that improve the robustness and reliability of findings. Despite promising progress in identifying the genetic and neurobiological underpinnings of suicidal behavior, the translation of these advances and findings into effective suicide prevention strategies and clinical tools remains a crucial challenge. Consequently, future studies must focus on integrating biological elements into an improved mechanistic understanding of the etiology of suicidal behavior, which in turn can translate into new strategies for early detection, intervention, and treatment.
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