Ethical Considerations for the Return of Incidental Findings in Ophthalmic Genomic Research

Benefit-Sharing by Design: A Call to Action for Human Genomics Research

The ethical standards for the responsible conduct of human research have come a long way; however, concerns surrounding equity remain in human genetics and genomics research. Addressing these concerns will help society realize the full potential of human genomics research. One outstanding concern is the fair and equitable sharing of benefits from research on human participants. Several international bodies have recognized that benefit-sharing can be an effective tool for ethical research conduct, but international laws, including the Convention on Biological Diversity and its Nagoya Protocol on Access and Benefit-Sharing, explicitly exclude human genetic and genomic resources. These agreements face significant challenges that must be considered and anticipated if similar principles are applied in human genomics research. We propose that benefit-sharing from human genomics research can be a bottom-up effort and embedded into the existing research process. We propose the development of a "benefit-sharing by design" framework to address concerns of fairness and equity in the use of human genomic resources and samples and to learn from the aspirations and decade of implementation of the Nagoya Protocol.

Perspectives and experiences of researchers regarding feedback of incidental genomic research findings: A qualitative study

BACKGROUND

There is a plethora of unanswered ethical questions about sharing incidental findings in genetics and genomics research. Yet understanding and addressing such issues is necessary for communicating incidental findings with participants. We explored researchers' perspectives and experiences regarding feedback of incidental genomics findings to participants.

METHODS

This was a qualitative study using semi-structured interview schedules for In-depth interviews. Thirty respondents were purposively selected based on role as genetics and genomics researchers in Uganda. Data were analysed through content analysis to identify emerging themes using a comprehensive thematic matrix. QSR International NVivo software was used to support data analysis.

RESULTS

a). On perceptions, sharing of incidental findings was acceptable and four themes emerged including role of professional judgement; role of ethics committees and ethical guidelines; optimal disclosure practices; limits to professional duty and uncertainty and; b). on practices, sharing had been carried out by some researchers and a theme on experience and practices emerged.

CONCLUSION

Feedback of incidental genomics research findings to participants is generally acceptable to researchers. Some researchers. Challenges include lack of ethical guidelines and uncertainty about the findings.

A systematic approach to the disclosure of genomic findings in clinical practice and research: a proposed framework with colored matrix and decision-making pathways

Background

Whether and how to disclose genomic findings obtained in the course of genomic clinical practice and medical research has been a controversial global bioethical issue over the past two decades. Although several recommendations and judgment tools for the disclosure of genomic findings have been proposed, none are sufficiently systematic or inclusive or even consistent with each other. In order to approach the disclosure/non-disclosure practice in an ethical manner, optimal and easy-to-use tools for supporting the judgment of physicians/researchers in genomic medicine are necessary.

Methods

The bioethics literature on this topic was analyzed to parse and deconstruct the somewhat overlapping and therefore ill-defined key concepts of genomic findings, such as incidental, primary, secondary, and other findings. Based on the deconstruction and conceptual analyses of these findings, we then defined key parameters from which to identify the strength of duty to disclose (SDD) for a genomic finding. These analyses were then applied to develop a framework with the SDD matrix and systematic decision-making pathways for the disclosure of genomic findings.

Results

The following six major parameters (axes), along with sub-axes, were identified: Axis 1 (settings and institutions where findings emerge); Axis 2 (presence or absence of intention and anticipatability in discovery); Axis 3 (maximal actionability at the time of discovery); Axis 4 (net medical importance); Axis 5 (expertise of treating physician/researcher); and Axis 6 (preferences of individual patients/research subjects for disclosure). For Axes 1 to 4, a colored SDD matrix for genomic findings was developed in which levels of obligation for disclosing a finding can be categorized. For Axes 5 and 6, systematic decision-making pathways were developed via the SDD matrix.

Conclusion

We analyzed the SDD of genomic findings and developed subsequent systematic decision-making pathways of whether and how to disclose genomic findings to patients/research subjects and their relatives in an ethical manner. Our comprehensive framework may help physicians and researchers in genomic medicine make consistent ethical judgments regarding the disclosure of genomic findings.

Return of research results (RoRR) to the healthy CHRIS cohort: designing a policy with the participants

Legal, financial and organizational challenges and the absence of coherent international guidelines and legal frameworks still discourage many genetic studies to share individual research results with their participants. Studies and institutions deciding to return genetic results will need to design their own study-specific return policy after due consideration of the ethical responsibilities. The Cooperative Health Research in South Tyrol (CHRIS) study, a healthy cohort study, did not foresee the return of individual genomic results during its baseline phase. However, as it was expected that the follow-up phase would generate an increasing amount of reliable genetic results, an update of the return of research results (RoRR) policy became necessary. To inform this revision, an empirical study using mixed methods was developed to investigate the views of CHRIS research participants (20), local general practitioners (3) and the local genetic counselling service (1). During the interviews, three different examples of potential genetic results with a very diverse potential impact on participants were presented: breast cancer, Parkinson disease and Huntington disease. The CHRIS participants also completed a short questionnaire, collecting personal information and asking for a self-evaluation of their knowledge about genetics. This study made it clear that research participants want to make autonomous decisions on the disclosure or non-disclosure of their results. While the motivations for participants' decisions were very diverse, we were able to identify several common criteria that had a strong influence on their choices. Providing information on these factors is crucial to enable participants to make truly informed decisions.

Dissecting in silico Mutation Prediction of Variants in African Genomes: Challenges and Perspectives

Genomic medicine is set to drastically improve clinical care globally due to high throughput technologies which enable speedy in silico detection and analysis of clinically relevant mutations. However, the variability in the in silico prediction methods and categorization of functionally relevant genetic variants can pose specific challenges in some populations. In silico mutation prediction tools could lead to high rates of false positive/negative results, particularly in African genomes that harbor the highest genetic diversity and that are disproportionately underrepresented in public databases and reference panels. These issues are particularly relevant with the recent increase in initiatives, such as the Human Heredity and Health (H3Africa), that are generating huge amounts of genomic sequence data in the absence of policies to guide genomic researchers to return results of variants in so-called actionable genes to research participants. This report (i) provides an inventory of publicly available Whole Exome/Genome data from Africa which could help improve reference panels and explore the frequency of pathogenic variants in actionable genes and related challenges, (ii) reviews available in silico prediction mutation tools and the criteria for categorization of pathogenicity of novel variants, and (iii) proposes recommendations for analyzing pathogenic variants in African genomes for their use in research and clinical practice. In conclusion, this work proposes criteria to define mutation pathogenicity and actionability in human genetic research and clinical practice in Africa and recommends setting up an African expert panel to oversee the proposed criteria.

Healthcare professionals' attitudes toward cancer precision medicine: A systematic review

Use of precision medicine in oncology is burgeoning and can provide patients with new treatment options. However, it is not clear how precision medicine is impacting healthcare professionals (HCPs), particularly with regards to their concerns about this new approach. We therefore synthesized the existing literature on HCPs' attitudes toward cancer precision medicine. We searched four databases for relevant articles. Two reviewers screened eligible articles and extracted data. We assessed the quality of each article using the QualSyst tool. We found 22 articles, representing 4,321 HCPs (63.7% cancer specialists). HCPs held largely positive attitudes toward cancer precision medicine, including their capacity to facilitate treatment decisions and provide prognostic information. However, they also had concerns regarding costs, insurance coverage, limited HCP knowledge about precision medicine, potential misuse, difficulties accessing the tests, and delays in receiving test results. Most HCPs felt that test-related decisions should be shared between families and HCPs. HCPs intended to disclose actionable results but were less inclined to disclose negative/secondary findings. HCPs had a strong preference for genetic counselor involvement when disclosing germline findings. Most HCPs intended to use somatic and germline tests in their future practice but the extent to which pharmacogenomic tests will be used is uncertain. HCPs indicated that additional evidence supporting test utility and increased availability of treatment guidelines could facilitate the use of testing. HCPs held generally positive attitudes toward cancer precision medicine, however there were some key concerns. Addressing concerns early, devising educational support for HCPs and developing guidelines may facilitate the successful implementation of precision medicine trials in the future.

Recontacting patients in clinical genetics services: recommendations of the European Society of Human Genetics

Technological advances have increased the availability of genomic data in research and the clinic. If, over time, interpretation of the significance of the data changes, or new information becomes available, the question arises as to whether recontacting the patient and/or family is indicated. The Public and Professional Policy Committee of the European Society of Human Genetics (ESHG), together with research groups from the UK and the Netherlands, developed recommendations on recontacting which, after public consultation, have been endorsed by ESHG Board. In clinical genetics, recontacting for updating patients with new, clinically significant information related to their diagnosis or previous genetic testing may be justifiable and, where possible, desirable. Consensus about the type of information that should trigger recontacting converges around its clinical and personal utility. The organization of recontacting procedures and policies in current health care systems is challenging. It should be sustainable, commensurate with previously obtained consent, and a shared responsibility between healthcare providers, laboratories, patients, and other stakeholders. Optimal use of the limited clinical resources currently available is needed. Allocation of dedicated resources for recontacting should be considered. Finally, there is a need for more evidence, including economic and utility of information for people, to inform which strategies provide the most cost-effective use of healthcare resources for recontacting.

Next Generation Sequencing Methods for Diagnosis of Epilepsy Syndromes

Epilepsy is a neurological disorder characterized by an increased predisposition for seizures. Although this definition suggests that it is a single disorder, epilepsy encompasses a group of disorders with diverse aetiologies and outcomes. A genetic basis for epilepsy syndromes has been postulated for several decades, with several mutations in specific genes identified that have increased our understanding of the genetic influence on epilepsies. With 70-80% of epilepsy cases identified to have a genetic cause, there are now hundreds of genes identified to be associated with epilepsy syndromes which can be analyzed using next generation sequencing (NGS) techniques such as targeted gene panels, whole exome sequencing (WES) and whole genome sequencing (WGS). For effective use of these methodologies, diagnostic laboratories and clinicians require information on the relevant workflows including analysis and sequencing depth to understand the specific clinical application and diagnostic capabilities of these gene sequencing techniques. As epilepsy is a complex disorder, the differences associated with each technique influence the ability to form a diagnosis along with an accurate detection of the genetic etiology of the disorder. In addition, for diagnostic testing, an important parameter is the cost-effectiveness and the specific diagnostic outcome of each technique. Here, we review these commonly used NGS techniques to determine their suitability for application to epilepsy genetic diagnostic testing.

Expect the unexpected: screening for secondary findings in clinical genomics research

BACKGROUND

Due to decreasing cost, and increasing speed and precision, genomic sequencing in research is resulting in the generation of vast amounts of genetic data. The question of how to manage that information has been an area of significant debate. In particular, there has been much discussion around the issue of 'secondary findings' (SF)-findings unrelated to the research that have diagnostic significance.

SOURCES OF DATA

The following includes ethical commentaries, guidelines and policies in respect to large-scale clinical genomics studies.

AREAS OF AGREEMENT

Research participant autonomy and their informed consent are paramount-policies around SF must be made clear and participants must have the choice as to which results they wish to receive, if any.

AREAS OF CONTROVERSY

While many agree that clinically 'actionable' findings should be returned, some question whether they should be actively sought within a research protocol.

GROWING POINTS

SF present challenges to a growing field; diverse policies around their management have the potential to hinder collaboration and future research.

AREAS TIMELY FOR DEVELOPING RESEARCH

The impact of returning SF and accurate estimates of their clinical utility are needed to inform future protocol design.

Building a 'Repository of Science': The importance of integrating biobanks within molecular pathology programmes

Repositories containing high quality human biospecimens linked with robust and relevant clinical and pathological information are required for the discovery and validation of biomarkers for disease diagnosis, progression and response to treatment. Current molecular based discovery projects using either low or high throughput technologies rely heavily on ready access to such sample collections. It is imperative that modern biobanks align with molecular diagnostic pathology practices not only to provide the type of samples needed for discovery projects but also to ensure requirements for ongoing sample collections and the future needs of researchers are adequately addressed. Biobanks within comprehensive molecular pathology programmes are perfectly positioned to offer more than just tumour derived biospecimens; for example, they have the ability to facilitate researchers gaining access to sample metadata such as digitised scans of tissue samples annotated prior to macrodissection for molecular diagnostics or pseudoanonymised clinical outcome data or research results retrieved from other users utilising the same or overlapping cohorts of samples. Furthermore, biobanks can work with molecular diagnostic laboratories to develop standardised methodologies for the acquisition and storage of samples required for new approaches to research such as 'liquid biopsies' which will ultimately feed into the test validations required in large prospective clinical studies in order to implement liquid biopsy approaches for routine clinical practice. We draw on our experience in Northern Ireland to discuss how this harmonised approach of biobanks working synergistically with molecular pathology programmes is a key for the future success of precision medicine.