Understanding and predicting suicidality using a combined genomic and clinical risk assessment approach
Niculescu AB, Levey DF, Phalen PL, Le-Niculescu H, Dainton HD, Jain N, Belanger E, James A, George S, Weber H, Graham DL, Schweitzer R, Ladd TB, Learman R, Niculescu EM, Vanipenta NP, Khan FN, Mullen J, Shankar G, Cook S, Humbert C, Ballew A, Yard M, Gelbart T, Shekhar A, Schork NJ, Kurian SM, Sandusky GE, Salomon DR. Understanding and predicting suicidality using a combined genomic and clinical risk assessment approach. Molecular Psychiatry 2015, 20: 1266-1285. PMID: 26283638, PMCID: PMC4759104, DOI: 10.1038/mp.2015.112.Peer-Reviewed Original ResearchConceptsFuture hospitalizationPsychiatric diagnosisSuicidal ideationCandidate biomarkersBipolar disorderPsychiatric participantsBlood gene expression biomarkersSuicidal behaviorConvergent functional genomics approachSuicide completersPreventive lifestyle modificationsTop candidate biomarkersTop biomarkersAcute panic attacksPotential therapeutic targetBipolar disorder participantsMajor psychiatric disordersIndependent test cohortSuicide risk factorsThoughts of suicideLifestyle modificationAcute suicidalityRisk factorsInflammatory responsePsychological stress responses