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Suicide, an extraordinarily difficult public health problem, is challenging to predict due to its low frequency and large number of social and psychological risk factors. These researchers conducted a complex, multistep genetics study.
Using a powerful within-subjects study design, they identified large changes in gene expression (biomarkers from blood assays) associated with large changes in suicidal ideation over time in 66 individuals with various diagnoses and identified suicidal-ideation subtypes (psychotic, anxious, depressed, and mixed). Genetic findings were “prioritized” by agreement with genes previously linked to suicide and were validated in 45 people who had died by violent suicide.
The 12 most consistently predictive biomarkers …