Generating a taxonomy for genetic conditions relevant to reproductive planning

As genome or exome sequencing (hereafter genome-scale sequencing) becomes more integrated into standard care, carrier testing is an important possible application. Carrier testing using genome-scale sequencing can identify a large number of conditions, but choosing which conditions/genes to evaluate as well as which results to disclose can be complicated. Carrier testing generally occurs in the context of reproductive decision-making and involves patient values in a way that other types of genetic testing may not. The Kaiser Permanente Clinical Sequencing Exploratory Research program is conducting a randomized clinical trial of preconception carrier testing that allows participants to select their preferences for results from among broad descriptive categories rather than selecting individual conditions. This paper describes 1) the criteria developed by the research team, the return of results committee (RORC), and stakeholders for defining the categories; 2) the process of refining the categories based on input from patient focus groups and validation through a patient survey; and, 3) how the RORC then assigned specific gene-condition pairs to taxonomy categories being piloted in the trial. The development of four categories (serious, moderate/mild, unpredictable, late onset) for sharing results allows patients to select results based on their values without separately deciding their interest in knowing their carrier status for hundreds of conditions. A fifth category, lifespan limiting, was always shared. The lessons learned may be applicable in other results disclosure situations, such as incidental findings

English colonization strategies in Ireland and Wales in the thirteenth and fourteenth centuries

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Closing the gap between knowledge and clinical application: challenges for genomic translation.

Despite early predictions and rapid progress in research, the introduction of personal genomics into clinical practice has been slow. Several factors contribute to this translational gap between knowledge and clinical application. The evidence available to support genetic test use is often limited, and implementation of new testing programs can be challenging. In addition, the heterogeneity of genomic risk information points to the need for strategies to select and deliver the information most appropriate for particular clinical needs. Accomplishing these tasks also requires recognition that some expectations for personal genomics are unrealistic, notably expectations concerning the clinical utility of genomic risk assessment for common complex diseases. Efforts are needed to improve the body of evidence addressing clinical outcomes for genomics, apply implementation science to personal genomics, and develop realistic goals for genomic risk assessment. In addition, translational research should emphasize the broader benefits of genomic knowledge, including applications of genomic research that provide clinical benefit outside the context of personal genomic risk

Patient Recommendations for the Content and Design of Electronic Returns of Genetic Test Results: Interview Study Among Patients Who Accessed Their Genetic Test Results via the Internet

BackgroundGenetic test results will be increasingly made available electronically as more patient-facing tools are developed; however, little research has been done that collects data on patient preferences for content and design before creating results templates. ObjectiveThis study identifies patient preferences for the electronic return of genetic test results, including what considerations should be prioritized for content and design. MethodsFollowing user-centered design methods, 59 interviews were conducted by using semistructured protocols. The interviews explored the content and design issues of patient portals that facilitated the return of test results to patients. We interviewed patients who received electronic results for specific types of genetics tests (pharmacogenetic tests, hereditary blood disorder tests, and tests for the risk of heritable cancers) or electronically received any type of genetic or nongenetic test results. ResultsIn general, many of participants felt that there always needed to be some clinician involvement in electronic result returns and that electronic coversheets with simple summaries would be helpful for facilitating this. Coversheet summaries could accompany, but not replace, the more detailed report. Participants had specific suggestions for such results summaries, such as only reporting the information that was the most important for patients to understand, including next steps, and doing so by using clear language that is free of medical jargon. Electronic result returns should also include explicit encouragement for patients to contact health care providers about questions. Finally, many participants preferred to manage their care by using their smartphones, particularly in instances when they needed to access health information on the go. ConclusionsParticipants recommended that a patient-friendly front section should accompany the more detailed report and made suggestions for organization, content, and wording. Many used their smartphones regularly to access test results; therefore, health systems and patient portal software vendors should accommodate smartphone app design and web portal design concomitantly when developing platforms for returning results

Ethical and Policy Issues

The evolution of Artificial Intelligence in health and medicine has been paralleled by an extraordinary effort to identify and address the ethical issues raised by this technology. It has become clear that the success of AI in patient care and research is dependent on the success of this effort to address appropriate software quality and standards, explainability and interpretability, transparency and accountability, human control, and bias and fairness. The tools of applied ethics are identified as essential if the growing use of AI is to be trusted and trustworthy and therefore to achieve the benefits for which its promoters, developers, and users hope

Participants’ Role Expectations in Genetics Research and Re-consent: Revising the Theory and Methods of Mental Models Research Relating to Roles

The rise of large cohort-based health research that includes genetic components has increased the communication challenges for researchers. Controversies have been amplified over requirements for re-consent, return of results, and privacy protections, among other issues. This study extended research on the impact that the perceived role of "research participant" might have on communication expectations to illuminate research participants' preferences for re-consent. The study employed an online survey of participants in a long-standing cancer genetics registry. Results confirmed previous exploratory findings that research participants endorse multiple mental models of participant roles in research (doctor-patient, collaborator, donor, legal contract, etc.). Regression analyses indicated that high and low salience of different models of the role of research participant are related to different communication expectations. However, the pattern of relationships among roles is relevant. The results of the regression analysis also indicated that preference for mandatory re-consent and its relationship to mental models of roles are related to attitudes of trust, benefits, and informational risks. The discussion identifies implications as including the use of explicit approaches to address role relationships in communication with research participants. It also points to implications for methodological approaches in mental model research

Participant views on consent in cancer genetics research: preparing for the precision medicine era

The Precision Medicine Initiative (PMI) has created considerable discussions about research participant issues including re-consent and how and when to incorporate the patient experience into clinical trials. Within the changing landscape of genetic and genomic research, the preferences of participants are lacking yet are needed to inform policy. With the growing use of biobanks intended to support studies, including the national research cohort proposed under the PMI, understanding participant preferences, including re-consent, is a pressing concern. The Participant Issues Project (PIP) addresses this gap, and here we present data on participant attitudes regarding re-consent and broad consent in research studies. PIP study participants came from the Northwest Cancer Genetics Registry and included cancer patients, relatives, and controls. Thirty telephone interviews were conducted and analyzed using content and thematic analysis. Results indicate that in some scenarios, re-consent is needed. Most participants agreed that re-consent was necessary when the study direction changed significantly or a child participant became an adult, but not if the genetic variant changed. Most participants’ willingness to participate in research would not be affected if the researcher or institution profited or if a broad consent form were used. Participants emphasized re-consent to provide information and control of the use of their data, now relevant for tailored treatment, while also prioritizing research as important. In the era of precision medicine, it is essential that policy makers consider participant preferences with regard to use of their materials and that participants understand genetic and genomic research and its harms and benefits as well as what broad consent entails, including privacy and re-identification risks