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Defining Suicidal Thought and Behavior Phenotypes for Genetic Studies.
- Source :
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MedRxiv : the preprint server for health sciences [medRxiv] 2024 Jul 29. Date of Electronic Publication: 2024 Jul 29. - Publication Year :
- 2024
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Abstract
- Background: Standardized definitions of suicidality phenotypes, including suicidal ideation (SI), attempt (SA), and death (SD) are a critical step towards improving understanding and comparison of results in suicide research. The complexity of suicidality contributes to heterogeneity in phenotype definitions, impeding evaluation of clinical and genetic risk factors across studies and efforts to combine samples within consortia. Here, we present expert and data-supported recommendations for defining suicidality and control phenotypes to facilitate merging current/legacy samples with definition variability and aid future sample creation.<br />Methods: A subgroup of clinician researchers and experts from the Suicide Workgroup of the Psychiatric Genomics Consortium (PGC) reviewed existing PGC definitions for SI, SA, SD, and control groups and generated preliminary consensus guidelines for instrument-derived and international classification of disease (ICD) data. ICD lists were validated in two independent datasets (N = 9,151 and 12,394).<br />Results: Recommendations are provided for evaluated instruments for SA and SI, emphasizing selection of lifetime measures phenotype-specific wording. Recommendations are also provided for defining SI and SD from ICD data. As the SA ICD definition is complex, SA code list recommendations were validated against instrument results with sensitivity (range = 15.4% to 80.6%), specificity (range = 67.6% to 97.4%), and positive predictive values (range = 0.59-0.93) reported.<br />Conclusions: Best-practice guidelines are presented for the use of existing information to define SI/SA/SD in consortia research. These proposed definitions are expected to facilitate more homogeneous data aggregation for genetic and multisite studies. Future research should involve refinement, improved generalizability, and validation in diverse populations.<br />Competing Interests: Disclosures Ole Andreassen: Consultant to Cortechs.ai and Precision-Health.ai, and received speaker’s honorarium from Lundbeck, Sunovion, Janssen and Otsuka. Murray Stein: MBS has in the past 3 years received consulting income from Aptinyx, atai Life Sciences, BigHealth, Biogen, Bionomics, Boehringer Ingelheim, Delix Therapeutics, EmpowerPharm, Engrail Therapeutics, Janssen, Jazz Pharmaceuticals, Karuna Therapeutics, Lykos Therapeutics, NeuroTrauma Sciences, Otsuka US, PureTech Health, Sage Therapeutics, Seaport Therapeutics, and Roche/Genentech. Dr. Stein has stock options in Oxeia Biopharmaceuticals and EpiVario. He has been paid for his editorial work on Depression and Anxiety (Editor-in-Chief), Biological Psychiatry (Deputy Editor), and UpToDate (Co-Editor-in-Chief for Psychiatry). He is on the scientific advisory board of the Brain and Behavior Research Foundation and the Anxiety and Depression Association of America. Philip Harvey: Dr. Harvey consults for a variety of pharmaceutical and device manufacturers on phase 2 and 3 studies of cognition and negative symptoms in SMI. These activities have been reviewed and determined not to be related to the content of this paper. John Mann: Dr. Mann receives royalties for commercial use of the C-SSR S from the Research Foundation of Mental Hygiene and from Columbia University for the Columbia Pathways App. All other listed authors declare no conflicts of interest.
Details
- Language :
- English
- Database :
- MEDLINE
- Journal :
- MedRxiv : the preprint server for health sciences
- Publication Type :
- Academic Journal
- Accession number :
- 39132474
- Full Text :
- https://doi.org/10.1101/2024.07.27.24311110