22q11.2 Deletion Syndrome: Attitudes towards Disclosing the Risk of Psychiatric Illness
Bibliographic record
Abstract
22q11.2 Deletion Syndrome (22q11.2DS) is a common microdeletion syndrome with multisystem features. There is a strong association with psychiatric disorders. One in every four to five patients develop schizophrenia. Despite studies showing that early diagnosis and treatment are likely to lead to improved outcome, genetic counselors may be reluctant to discuss the risk of psychiatric illness. The aim of this research was to explore parental attitudes and genetic counselors' perspectives and practice regarding disclosure of the clinical manifestations of 22q11.2DS, particularly the risk of psychiatric illness. We delivered a questionnaire to genetic counselors via established list-serves, 54 of which were completed. We also conducted interviews with four parents of adults with 22q11.2DS and schizophrenia. The majority of counselors and parents felt that the increased risk to develop a psychiatric illness is important to disclose. However, in the initial counseling session when the diagnosis was made in infancy genetic counselors were significantly less likely to discuss the risk of psychiatric disorders compared to other later onset features such as hypothyroidism (41 % vs. 83 %, p = 0.001). When the diagnosis of 22q11.2DS was made in infancy, counselors' responses in regard to timing of disclosure about psychiatric illnesses were fairly evenly divided between infancy, childhood and adolescence. In contrast, for other major features of 22q11.2DS, disclosure would predominantly be in infancy. The respondents reported that the discussion of psychiatric issues with parents was challenging due to the stigma associated with mental illness. Some also noted limited knowledge about psychiatric illness and treatment. These results suggest that genetic counselors could benefit from further education regarding psychiatric illness in 22q11.2DS and best strategies for discussing this important subject with parents and patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".