{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Schultebraucks K"],"funding":["NIMH NIH HHS"],"pagination":["744-752"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8014197"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["78(7)"],"pubmed_abstract":["<h4>Importance</h4>Major life stressors, such as loss and trauma, increase the risk of depression. It is known that individuals show heterogeneous trajectories of depressive symptoms following major life stressors, including chronic depression, recovery, and resilience. Although common genetic variation has been associated with depression risk, genomic factors that could help discriminate trajectories of risk vs resilience following adversity have not been identified.<h4>Objective</h4>To assess the discriminatory accuracy of a deep neural net combining joint information from 21 psychiatric and health-related multiple polygenic scores (PGSs) for discriminating resilience vs other longitudinal symptom trajectories with use of longitudinal, genetically informed data on adults exposed to major"],"journal":["JAMA psychiatry"],"pubmed_title":["Discriminating Heterogeneous Trajectories of Resilience and Depression After Major Life Stressors Using Polygenic Scores."],"pmcid":["PMC8014197"],"funding_grant_id":["K01 MH102415"],"pubmed_authors":["Bonanno GA","Choi KW","Galatzer-Levy IR","Schultebraucks K"],"additional_accession":[]},"is_claimable":false,"name":"Discriminating Heterogeneous Trajectories of Resilience and Depression After Major Life Stressors Using Polygenic Scores.","description":"<h4>Importance</h4>Major life stressors, such as loss and trauma, increase the risk of depression. It is known that individuals show heterogeneous trajectories of depressive symptoms following major life stressors, including chronic depression, recovery, and resilience. Although common genetic variation has been associated with depression risk, genomic factors that could help discriminate trajectories of risk vs resilience following adversity have not been identified.<h4>Objective</h4>To assess the discriminatory accuracy of a deep neural net combining joint information from 21 psychiatric and health-related multiple polygenic scores (PGSs) for discriminating resilience vs other longitudinal symptom trajectories with use of longitudinal, genetically informed data on adults exposed to major","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Jul","modification":"2025-04-29T11:31:39.602Z","creation":"2025-04-06T19:54:22.692Z"},"accession":"S-EPMC8014197","cross_references":{"pubmed":["33787853"],"doi":["10.1001/jamapsychiatry.2021.0228"]}}