Attitudes of Canadian researchers toward the return to participants of incidental and targeted genomic findings obtained in a pediatric research setting
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to explore the attitudes of genomics researchers in a pediatric setting in the context of regulatory guidance recommending the disclosure of clinically significant research findings. METHODS: A validated 32-item questionnaire was sent to 107 researchers with two large-scale projects (the Canadian Pediatric Cancer Genome Consortium and the Finding of Rare Genes Canada Consortium). We examined researchers' attitudes toward obligations to offer genomic research results (including if the participant was deceased, a relative, or a child), influence of the certainty/severity of the condition on this obligation, and personal experiences. RESULTS: Of the 107 researchers, 74 (69%) responded. Researchers did not feel a strong responsibility to look for meaningful incidental results in the research genomic data set (n = 27, 37%). However, once identified, they felt participants had a strong right to receive them, irrespective of being incidental (n = 50, 68%) or primary targets (n = 64, 87%). There was a high degree of support for informing siblings of genomic results (n = 46, 62%), especially for treatable conditions (n = 56, 76%). Less than half of the participants indicated that their research ethics board required an offer of results (n = 34, 46%) or provided a detailed process (n = 16, 22%). CONCLUSION: Researchers strongly support the offer of targeted and incidental genomic research results to participants. Greater regulatory guidance is needed for a consistent approach.
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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 | 0.054 | 0.115 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.013 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| 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".