M56. ASSORTATIVE MATING IN SCHIZOPHRENIA AND BIPOLAR DISORDER: A NATIONWIDE COHORT STUDY EXPLORING THE CHARACTERISTICS OF INDIVIDUALS WHO HAVE CHILDREN BY PARTNERS WITH SCHIZOPHRENIA OR BIPOLAR DISORDER
Bibliographic record
Abstract
Abstract Background Assortative mating is common in patients with mental disorders, both for specific disorders and across the spectrum of mental disorders. Assortative mating may play a key role in mental disorders because the person with the close relation to an individual with a mental disorder is also likely to have mental disorders, poorer cognitive abilities or lower social functioning, which may further intensify problems for both partners and their offspring. When one parent is ill, the care for the child will often depend on the other parent. Thus, assortative mating will most likely contribute to outcomes in the offspring. Therefore, the objective of this study was to investigate possible diagnoses of a mental illness, cognitive ability and social functioning in individuals who have biological children by partners with schizophrenia or bipolar disorder. Further, we also aimed to explore differences in polygenic risk scores derived from genome-wide association studies for schizophrenia, bipolar disorder, and depression. Methods This study was based on data from The Danish High Risk and Resilience Study - VIA7, a population-based cohort study conducted in Denmark between 2013 and 2016. Subjects were identified through the Danish Civil registration System and the Danish Psychiatric Central Research register. The VIA7 cohort consists of 522 children aged 7 years with parents diagnosed with schizophrenia or bipolar disorder in the Danish registries (index parents) and their partners (non-index parents). This study focuses on the non-index parents (N = 492) without schizophrenia or bipolar disorder in the Danish registries. All participants were interviewed with a diagnostic interview (SCAN 2.0). Main outcomes were intelligence, processing speed, verbal working memory, and social functioning. A linear mixed effect model was applied for each of the outcomes, including parent status (index parent or non-index parent), group (schizophrenia, bipolar disorder, and control), and interaction between parent status and group. Results Non-index parents having children by a partner with schizophrenia or bipolar disorder more often fulfilled the criteria for a mental disorder compared to non-index parents in the control group. Non-index parents having children by a partner with schizophrenia or bipolar disorder had lower levels of social functioning compared to non-index parents in the control group and performed poorer on intelligence and processing speed. Discussion Individuals who have children by partners with schizophrenia or bipolar disorder are more likely to have a mental disorder and to have lower levels of cognitive and social functioning compared to individuals who have children by partners without schizophrenia or bipolar disorder. Assortative mating may have important implications for our understanding of the familial transmission of these disorders. The findings presented in this study should be considered in future genetic research in psychiatry, specifically in the investigation of potential risk factors for children with a parent with schizophrenia or bipolar disorder.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".