Familial Overlap between Bipolar Disorder and Psychotic Symptoms in a Canadian Cohort
Bibliographic record
Abstract
BACKGROUND: Although they were once considered separate nosologic entities, there is current interest in the etiologic overlap between bipolar disorder (BD) and schizophrenia. A critical issue concerns the familial basis of the overlap, specifically, the possibility of a distinct familial subtype of BD with psychotic features. METHODS: We recruited individuals with BD from the community and compared them with a matched group diagnosed with no mental disorder to confirm familial aggregation for BD, schizophrenia, and psychotic symptoms. We then compared BD probands both with and without first-degree relatives with psychotic symptoms on several clinical indicators to determine the specificity of the familial aggregation. RESULTS: As expected, there was evidence for familial aggregation of schizophrenia and psychotic symptoms in families having probands with BD. Familial loading for schizophrenia and psychotic symptoms was especially notable in male relatives of female probands with BD. We found no differences in the clinical profile of probands with BD stratified for familial loading for psychotic symptoms. CONCLUSIONS: Findings from this sample support etiologic theories arguing for a shared but nonspecific genetic etiology for BD and schizophrenia, with psychotic symptoms being a potential key indicator for genetic studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".