ArticleJAMA psychiatry2023
Relationship of Family Genetic Risk Score With Diagnostic Trajectory in a Swedish National Sample of Incident Cases of Major Depression, Bipolar Disorder, Other Nonaffective Psychosis, and Schizophrenia.
Article in JAMA psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 14 citations in OpenAlex.
- LT-FGRS: a unifying R-package for the estimation of family-based genetic liabilities at population-scale.bioRxiv : the preprint server for biology · 2026Article
- The typology of common psychiatric disorders as depicted by genetic maps: a study based on Swedish population-based registers.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- Understanding Psychotic Depression.Advances in experimental medicine and biology · 2026Review
- Modeling psychopathology in high-dimensional vector space using the high-dimensional symptom space (HDSS) model can operationalize precision psychiatry in US adolescents.Scientific reports · 2025Article
- Genetic Evidence Supporting a Role for Brain Region Volume and Functional Network Alterations in Major Depression.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Profiles of Genetic Risks for Psychotic Disorders.JAMA psychiatry · 2025Article
- Longitudinal Clustering of Psychopathology Across Childhood and Adolescence: An Approach Toward Developmentally Based Classification.Clinical psychological science : a journal of the Association for Psychological Science · 2025Article
- The outcome of major psychiatric and substance use disorders as an index of genetic risk and genetic heterogeneity.Psychological medicine · 2025Article
- Recent findings and future directions for the intersection of genetic and environmental contributions to schizophrenia.Genomic psychiatry : advancing science from genes to society · 2025Article
- Assessment and ascertainment in psychiatric molecular genetics: challenges and opportunities for cross-disorder research.Molecular psychiatry · 2025Review
- The number of episodes of major psychiatric and substance use disorders as an index of genetic risk and genetic heterogeneity.Molecular psychiatry · 2025Article
- Family Genetic-Risk Profiles Associated With Divorce.Clinical psychological science : a journal of the Association for Psychological Science · 2024Article
- Genetic contribution to disease-course severity and progression in the SUPER-Finland study, a cohort of 10,403 individuals with psychotic disorders.Molecular psychiatry · 2024Article
- Peer Social Genetic Effects and the Etiology of Substance Use Disorders, Major Depression, and Anxiety Disorder in a Swedish National Sample.The American journal of psychiatry · 2024Article
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
Importance: Since its inception under Kraepelin in the modern era, diagnostic stability and familial/genetic risk have been among the most important psychiatric nosologic validators. Objective: To assess the interrelationships of family genetic risk score (FGRS) with diagnostic stability or diagnostic change in major depression (MD), bipolar disorder (BD), other nonaffective psychosis (ONAP), and schizophrenia. Design, Setting, and Participants: This longitudinal population-based cohort (N = 4 171 120) included individuals with incident cases of MD (n = 235 095), BD (n = 11 681), ONAP (n = 16 009), and schizophrenia (n = 6312) who had at least 1 further diagnosis of the 4 disorders during follow-up, as assessed from Swedish national medical registries, observed over a mean (SD) of 13.1 (5.9) years until a mean (SD) age of 48.4 (12.3) years. Data were collected from January 1973 to December 2018, and data were analyzed from August to September 2022. Exposures: FGRS for MD, BD, ONAP, and schizophrenia, calculated from morbidity risks for disorders in first-degree through fifth-degree relatives, controlling for cohabitation effects. Main Outcomes and Measures: Final diagnostic outcome of MD, BD, ONAP, or schizophrenia. Results: Of 269 097 included individuals, 173 061 (64.3%) were female, and the mean (SD) age at first registration was 35.1 (11.9) years. Diagnostic stability was highest for MD (214 794 [91.4%]), followed by schizophrenia (4621 [73.2%]), BD (7428 [63.6%]), and ONAP (6738 [42.1%]). The second most common final diagnosis for each of these MD, schizophrenia, BD, and ONAP were BD (15 506 [6.6%]), ONAP (1110 [17.6%]), MD (2681 [23.0%]), and schizophrenia (4401 [27.5%]), respectively. A high FGRS for the incident diagnosis was consistently associated with diagnostic stability, while a high FGRS for the final diagnosis and a low FGRS for the incident diagnosis was associated with diagnostic change. In multivariate models, those in the upper 5% of genetic risk had an odds ratio (OR) of 1.75 or greater for the following diagnostic transition: for MD FGRS, ONAP to MD (OR, 1.91; 95% CI, 1.59-2.29) and schizophrenia to MD (OR, 2.45; 95% CI, 1.64-3.68); for BD FGRS, MD to BD (OR, 2.60; 95% CI, 2.47-2.73), ONAP to BD (OR, 2.16; 95% CI, 1.85-2.52), and schizophrenia to BD (OR, 2.20; 95% CI, 1.39-3.49); for ONAP FGRS, MD to ONAP (OR, 1.80; 95% CI, 1.62-2.02), MD to schizophrenia (OR, 1.95; 95% CI, 1.58-2.41), and BD to schizophrenia (OR, 1.89; 95% CI, 1.39-2.56); and for schizophrenia FGRS, MD to schizophrenia (OR, 1.80; 95% CI, 1.46-2.23), and BD to schizophrenia (OR, 1.75; 95% CI, 1.25-2.45). FGRS profiles for incident cases confirmed at final diagnosis were more homogenous than genetic profiles for those who changed diagnoses. Conclusions and Relevance: In a large population-based longitudinal cohort, the genetic risk factors for MD, BD, ONAP, and schizophrenia were meaningfully and systematically associated with the diagnostic trajectories of these 4 disorders. Over time, clinical diagnosis and genetic risk profiles became increasingly consilient, thereby providing genetic validation of these diagnostic constructs. Diagnostically unstable incident cases were more genetically heterogeneous than those who were diagnostically stable over time.
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