Return of Results in Psychiatric Genetics Research: Perceptions of Best Practices in a Global Sample of Psychiatric Genetics Researchers
Lazaro-Munoz, G.; Torgerson, L. N.; Pereira, S.
Show abstract
Many research sponsors and genetic researchers agree that some medically relevant genetic findings should be offered to participants. The scarcity of research specific to returning genetic results related to psychiatric disorders hinders the ability to develop ethically-justified and empirically-informed guidelines for responsible return of results for these conditions. We surveyed 407 psychiatric genetics researchers from 39 countries to examine their perceptions of challenges to returning individual results and views about best practices for the process of offering and returning results. Most researchers believed that disclosure of results should be delayed if a patient-participant is experiencing significant psychiatric symptoms. Respondents felt that there is little research on the impact of returning results to participants with psychiatric disorders and agreed that return of psychiatric genetics results to patient-participants may lead to discrimination by insurance companies or other third parties. Almost half of researchers believed results should be returned through a participants treating psychiatrist, but many felt that clinicians lack knowledge about how to manage genetic research results. Most researchers thought results should be disclosed by genetic counselors or medical geneticists and in person, however, almost half also supported disclosure via telemedicine. This is the first global survey to examine the perspectives of researchers with experience working with this patient population and with these conditions. Their perspectives can help inform the development of much-needed guidelines to promote responsible return of results related to psychiatric conditions to patients with psychiatric disorders.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Return of Results in a Global Sample of Psychiatric Genetics Researchers: Practices, Attitudes, and Knowledge 97%
- Systematic assessment of outcomes following a genetic diagnosis identified through a large-scale research study into developmental disorders 91%
- Comprehensive phenotyping of 3q29 deletion syndrome: recommendations for clinical care 89%
Similar papers in this journal
- Community Attitudes on Genetic Research of Gender Identity, Sexual Orientation, and Mental Health 93%
- Influences of race and clinical variables on psychiatric genetic research participation: Results from a schizophrenia sample 92%
- The Benefits and Harms of Open Notes in Mental Health: A Delphi Survey of International Experts 92%
Similar papers in this journal
- Medical Multimorbidity in Patients with Treatment-Resistant Psychosis and Rare Copy Number Variants: A Retrospective Case Series of 24 Patients 91%
- Research Priorities of Individuals and Families with Sex Chromosome Aneuploidies 91%
- Documentation and prevalence of prenatal and neonatal outcomes in a cohort of individuals with KBG syndrome 88%
Similar papers in this journal
- A Qualitative Study Exploring the Consumer Experience of Receiving Self-Initiated Polygenic Risk Scores from a Third-Party Website 93%
- Defining the Critical Educational Components of Informed Consent for Genetic Testing: Views of US-Based Genetic Counselors and Medical Geneticists 91%
- Genetic exploration of the relationship between liability to psychiatric disorders and acne vulgaris 90%
Similar papers in this journal
- Understanding changes in genetic literacy over time and in genetic research participants 92%
- Apigenin as a Candidate Prenatal Treatment for Trisomy 21: Effects in Human Amniocytes and the Ts1Cje Mouse Model 88%
- Clinical genetics lacks standard definitions and protocols for the collection and use of diversity measures 88%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.