ArticleBMC medical ethics2021
To disclose, or not to disclose? Perspectives of clinical genomics professionals toward returning incidental findings from genomic research.
Article in BMC medical ethics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Genetic analysis and reporting from whole-exome sequencing data in 1052 patients with intellectual disability.Journal of molecular medicine (Berlin, Germany) · 2026Article
- Global Perspectives on Managing Incidental and Secondary Findings in Genomic Testing: A Comprehensive Review of Policies, Implementation Challenges, and Stakeholder Perspectives.Annals of laboratory medicine · 2026Review
- A framework for the evaluation and reporting of incidental findings in clinical genomic testing.European journal of human genetics : EJHG · 2024Article
- Ethical frameworks of informed consent in the age of pediatric precision medicine.Cambridge prisms. Precision medicine · 2024Article
- An Equity and Justice-Informed Ethical Framework to Guide Incidental Findings in Brain Imaging Research.Clinics and practice · 2023Article
- Article
- Regulating scientific and technological uncertainty: The precautionary principle in the context of human genomics and AI.South African journal of scienceArticle
- Parents and Provider Perspectives on the Return of Genomic Findings for Cleft Families in Africa.AJOB empirical bioethicsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundClinical genomic professionals are increasingly facing decisions about returning incidental findings (IFs) from genetic research. Although previous studies have shown that research participants are interested in receiving IFs, yet there has been an argument about the extent of researcher obligation to return IFs. We aimed in this study to explore the perspectives of clinical genomics professionals toward returning incidental findings from genomic research.
methodsWe conducted a national survey of a sample (n = 113) of clinical genomic professionals using a convenient sampling. A self-administered questionnaire was used to explore their attitudes toward disclosure of IFs, their perception of the duties to return IFs and identifying the barriers for disclosure of IFs. A descriptive analysis was employed to describe participants' responses.
resultsSixty-five (57.5%) respondents had faced IFs in their practice and 31 (27.4%) were not comfortable in discussing IFs with their research subjects. Less than one-third of the respondents reported the availability of guidelines governing IFs. The majority 84 (80%) and 69 (62.7%) of the study participants indicated they would return the IFs if the risk of disease threat ≥ 50% and 6-49%, respectively and 36 (31.9%) reported they have no obligation to return IFs.
conclusionClinical genomics professionals have positive attitudes and perceptions toward the returning IFs from genomic research, yet some revealed no duty to do so. Detailed guidelines must be established to provide insights into how genomics professionals should be handled IFs.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.