Family secrets: Experiences and outcomes of participating in direct-to-consumer genetic relative-finder services.

In recent decades, genetic genealogy has become popular as a result of direct-to-consumer (DTC) genetic testing. Some DTC genetic testing companies offer genetic relative-finder (GRF) services that compare the DNA of consenting participants to identify genetic relatives among them and provide each participant a list of their relative matches. We surveyed a convenience sample of GRF service participants to understand the prevalence of discoveries and associated experiences. Almost half (46%) of the 23,196 respondents had participated in GRF services only for non-specific reasons that included interest in building family trees and general curiosity. However, most (82%) also learned the identity of at least one genetic relative. Separately, most respondents (61%) reported learning something new about themselves or their relatives, including potentially disruptive information such as that a person they believed to be their biological parent is in fact not or that they have a sibling they had not known about. Respondents generally reported that discovering this new information had a neutral or positive impact on their lives, and most had low regret regarding their decision to participate in GRF services. Yet some reported making life changes as a result of their discoveries. Compared to respondents making other types of discoveries, those who learned that they were donor conceived reported the highest decisional regret and represented the largest proportion reporting net-negative consequences for themselves. Our findings indicate that discoveries from GRF services may be common and that the consequences for individuals, while generally positive, can be far-reaching and complex.

Credit for and Control of Research Outputs in Genomic Citizen Science.

Citizen science encompasses activities with scientific objectives in which members of the public participate as more than passive research subjects from whom personal data or biospecimens are collected and analyzed by others. Citizen science is increasingly common in the biomedical sciences, including the fields of genetics and human genomics. Genomic citizen science initiatives are diverse and involve citizen scientists in collecting genetic data, solving genetic puzzles, and conducting experiments in community laboratories. At the same time that genomic citizen science is presenting new opportunities for individuals to participate in scientific discovery, it is also challenging norms regarding the manner in which scientific research outputs are managed. In this review, we present a typology of genomic citizen science initiatives, describe ethical and legal foundations for recognizing genomic citizen scientists' claims of credit for and control of research outputs, and detail how such claims are or might be addressed in practice across a variety of initiatives.

Direct-to-Consumer Genetic Testing: Value and Risk.

Although the explosive growth of direct-to-consumer (DTC) genetic testing has moderated, a substantial number of patients are choosing to undergo genetic testing outside the purview of their regular healthcare providers. Further, many industry leaders have been expanding reports to cover many more genes, as well as partnering with employers and others to expand access. This review addresses continuing concerns about DTC genetic testing quality, psychosocial impact, integration with medical practice, effects on the healthcare system, and privacy, as well as emerging concerns about third-party interpretation services and non-health-related uses such as investigative genetic genealogy. It concludes with an examination of two possible futures for DTC genetic testing: merger with traditional modes of healthcare delivery or continuation as a parallel system for patient-driven generation of health-relevant information. Each possibility is associated with distinctive questions related to value and risk.

Clinically Indicated Genomic Sequencing of Children in Foster Care: Legal and Ethical Issues.

There are approximately 400 000 children in foster care in the US, approximately one-half of whom have chronic health problems and approximately 10% of whom have complex healthcare needs. Given the increasing relevance of genomic sequencing to guide clinical care for children with rare, chronic, and undiagnosed conditions, it may be an important component of diagnostic evaluation for children in foster care. Clinically indicated genomic sequencing may provide information that has health implications for children in foster care, as well as for their biological parents and other relatives. Whether and how genomic sequencing results impact legal decision making and family court outcomes is not yet well-understood. We describe scenarios that highlight legal, ethical, and policy issues surrounding genomic sequencing for children in foster care using 3 cases adapted from real-world events. Together, these cases highlight important yet underexplored issues that arise when genomic information has legal relevance in family court and ethical implications for child and family well-being. As genomic sequencing becomes more routine for the general pediatric population, additional research is needed to better understand its impacts on children and other stakeholders within the foster care system.

Should police have access to genetic genealogy databases? Capturing the Golden State Killer and other criminals using a controversial new forensic technique.

On April 24, 2018, a suspect in California's notorious Golden State Killer cases was arrested after decades of eluding the police. Using a novel forensic approach, investigators identified the suspect by first identifying his relatives using a free, online genetic database populated by individuals researching their family trees. In the wake of the case, media outlets reported privacy concerns with police access to personal genetic data generated by or shared with genealogy services. Recent data from 1,587 survey respondents, however, provide preliminary reason to question whether such concerns have been overstated. Still, limitations on police access to genetic genealogy databases in particular may be desirable for reasons other than current public demand for them.

A consequentialist ethical analysis of federal funding of elective abortions.

Insurance coverage of abortion varies widely across the United States and is an extensively debated issue. Medicaid coverage of abortion is particularly relevant because the majority of abortion patients are poor or low-income and are thus often covered by Medicaid. Since the Hyde Amendment was first passed in 1976, federal Medicaid funds have been banned from covering the costs of elective abortion. Although states are allowed to use their own funds to cover abortions for their Medicaid recipients, only 17 states currently do so. Of these 17 states, only five cover abortion costs voluntarily; the others do so pursuant to court order. The medical literature includes few ethical analyses of the Hyde Amendment's ban on Medicaid funding of elective abortions. To fill this gap, we perform an ethical analysis of federal policy to fund elective abortions using a consequentialist approach focused on consequences for pregnant women and their children.

Who's on third? Regulation of third-party genetic interpretation services.

In recent years, third-party genetic interpretation services have emerged to help individuals understand their raw genetic data obtained from researchers, clinicians, and direct-to-consumer genetic testing companies. The objectives of these services vary but include matching users to genetic relatives, selling customized diet and fitness plans, and providing health risk assessments. As these services proliferate, concerns are being raised about their accuracy, safety, and privacy practices. Thus far, US regulatory agencies have not taken an official position with respect to third-party genetic interpretation services, which has caused uncertainty regarding whether and how they might be regulated. To clarify this area, we analyzed their potential oversight by four US agencies that generally have been active in the regulation of genetic testing services and information: the Centers for Medicare and Medicaid Services, the Food and Drug Administration, the Department of Health and Human Services' Office of Civil Rights, and the Federal Trade Commission. We conclude that the scope of federal jurisdiction over third-party genetic interpretation services-while limited-could be appropriate at this time, subject to agency clarification and appropriate exercise of oversight.

Donors, authors, and owners: how is genomic citizen science addressing interests in research outputs?

BACKGROUND: Citizen science is increasingly prevalent in the biomedical sciences, including the field of human genomics. Genomic citizen science initiatives present new opportunities to engage individuals in scientific discovery, but they also are provoking new questions regarding who owns the outputs of the research, including intangible ideas and discoveries and tangible writings, tools, technologies, and products. The legal and ethical claims of participants to research outputs become stronger-and also more likely to conflict with those of institution-based researchers and other stakeholders-as participants become more involved, quantitatively and qualitatively, in the research process. It is not yet known, however, how genomic citizen science initiatives are managing the interests of their participants in accessing and controlling research outputs in practice. To help fill this gap, we conducted an in-depth review of relevant policies and practices of U.S.-based genomic citizen science initiatives. METHODS: We queried the peer-reviewed literature and grey literature to identify 22 genomic citizen science initiatives that satisfied six inclusion criteria. A data collection form was used to capture initiative features, policies, and practices relevant to participants' access to and control over research outputs. RESULTS: This analysis revealed that the genomic citizen science landscape is diverse and includes many initiatives that do not have institutional affiliations. Two trends that are in apparent tension were identified: commercialization and operationalization of a philosophy of openness. While most initiatives supported participants' access to research outputs, including datasets and published findings, none supported participants' control over results via intellectual property, licensing, or commercialization rights. However, several initiatives disclaimed their own rights to profit from outputs. CONCLUSIONS: There are opportunities for citizen science initiatives to incorporate more features that support participants' access to and control over research outputs, consistent with their specific objectives, operations, and technical capabilities.

Sharing data under the 21st Century Cures Act.

On 13 December 2016, President Obama signed the 21st Century Cures Act ("the Act") into law. Many of its provisions support the creation of an "Information Commons," an ecosystem of separate but interconnected initiatives that facilitate open and responsible sharing of genomic and other data for research and clinical purposes. For example, the Act supports the National Institutes of Health in mandating data sharing, provides funding and guidance for the large national cohort program now known as All of Us, expresses congressional support for a global pediatric study network, and strengthens patient access to health information. The Act also addresses potential barriers to data sharing. For example, it makes the issuance of certificates of confidentiality automatic for federally funded research involving "identifiable, sensitive" information and strengthens the associated protections. At the same time, the Act exacerbates or neglects several challenges, for example, increasing complexity by adding a new definition of "identifiable" and failing to address the financial sustainability of data sharing and the scope of commercialization. In sum, the Act is a positive step, yet there is still much work to be done before the goals of broad data sharing and utilization can be achieved.

Pretesting Discrete-Choice Experiments: A Guide for Researchers.

Discrete-choice experiments (DCEs) are a frequently used method to explore the preferences of patients and other decision-makers in health. Pretesting is an essential stage in the design of a high-quality choice experiment and involves engaging with representatives of the target population to improve the readability, presentation, and structure of the preference instrument. The goal of pretesting in DCEs is to improve the validity, reliability, and relevance of the survey, while decreasing sources of bias, burden, and error associated with preference elicitation, data collection, and interpretation of the data. Despite its value to inform DCE design, pretesting lacks documented good practices or clearly reported applied examples. The purpose of this paper is: (1) to define pretesting and describe the pretesting process specifically in the context of a DCE, (2) to present a practical guide and pretesting interview discussion template for researchers looking to conduct a rigorous pretest of a DCE, and (3) to provide an illustrative example of how these resources were operationalized to inform the design of a complex DCE aimed at eliciting tradeoffs between personal privacy and societal benefit in the context of a police method known as investigative genetic genealogy (IGG).

Law enforcement use of genetic genealogy databases in criminal investigations: Nomenclature, definition and scope.

Although law enforcement use of commercial genetic genealogy databases has gained prominence since the arrest of the Golden State Killer in 2018, and it has been used in hundreds of cases in the United States and more recently in Europe and Australia, it does not have a standard nomenclature and scope. We analyzed the more common terms currently being used and propose a common nomenclature: investigative forensic genetic genealogy (iFGG). We define iFGG as the use by law enforcement of genetic genealogy combined with traditional genealogy to generate suspect investigational leads from forensic samples in criminal investigations. We describe iFGG as a proper subset of forensic genetic genealogy, that is, FGG as applied by law enforcement to criminal investigations; hence, investigative FGG or iFGG. We delineate its steps, compare and contrast it with other investigative techniques involving genetic evidence, and contextualize its use within criminal investigations. This characterization is a critical input to future studies regarding the legal status of iFGG and its implications on the right to genetic privacy.

IGG in the trenches: Results of an in-depth interview study on the practice, politics, and future of investigative genetic genealogy.

Investigative genetic genealogy (IGG) is a new technique for identifying criminal suspects and unidentified deceased and living persons that has sparked controversy. In a criminal case, the technique involves uploading genetic information left by a putative perpetrator at the crime scene to one or more direct-to-consumer genetic genealogy databases with the intention of identifying the perpetrator's genetic relatives and, eventually, locating the perpetrator on the family tree. In 2018, IGG helped to identify the Golden State Killer, and it has since been used in hundreds of investigations in the United States. Here, we report findings from in-depth interviews with 24 U.S.-based individuals involved in IGG that are relevant to the technique's current practice and predicted future. Key findings include: an emphasis on restricting IGG as a conceptual and technical matter to lead generation; the rapid growth of a private and largely self-regulating industry to support IGG; general recognition of three categories of cases associated with distinct practical, ethical, and policy questions, as well as varying degrees of controversy; and the significant influence of perceived public opinion on IGG practice. The experiences and perspectives of individuals in the IGG trenches related to these and other issues are potentially useful inputs to ongoing efforts to regulate the technique.

Public Perspectives on Investigative Genetic Genealogy: Findings from a National Focus Group Study.

BACKGROUND: Investigative genetic genealogy (IGG) is a technique that involves uploading genotypes developed from perpetrator DNA left at a crime scene, or DNA from unidentified remains, to public genetic genealogy databases to identify genetic relatives and, through the creation of a family tree, the individual who was the source of the DNA. As policymakers demonstrate interest in regulating IGG, it is important to understand public perspectives on IGG to determine whether proposed policies are aligned with public attitudes. METHODS: We conducted eight focus groups with members of the public (N = 72), sampled from four geographically diverse US regions, to explore general attitudes and perspectives regarding aspects of IGG practices, applications, and policies. Five major topics were explored in each focus group: when IGG should be used; who should perform IGG; how to approach consent for genetic database users; what systems of oversight should govern IGG practitioners; and whether to notify database users if their data are involved in law enforcement (LE) matching. RESULTS: Participants were supportive of IGG in most scenarios, especially for cold and violent cases. The favorable attitudes toward IGG were, however, tempered by distrust of law enforcement among some participants. All participants agreed that databases must inform users if IGG is allowed, but they did not agree on how individual database users should be allowed to opt out or whether to notify them if their data are involved in specific investigations. All participants agreed that IGG should be subject to some prescriptive guidelines, regulations, or accountability mechanisms. CONCLUSIONS: These findings suggest broad public support for IGG, and interest in developing systems of accountability for its practice. Our study provides useful insight for policy makers, genomic database stewards, law enforcement, and other stakeholders in IGG's practice, and suggests multiple directions for future research.

Science and its stakeholdersWe the Scientists: How a Daring Team of Parents and Doctors Forged a New Path for Medicine Amy Dockser Marcus Riverhead Books, 2023. 256 pp.

Patients' families became research partners in a quest to understand a rare genetic disease.

Policy options to facilitate cancer genomic variant data sharing: outcomes of a modified policy Delphi.

Sharing cancer gene variant and relevant clinical data could accelerate progress in cancer genomics. However, data sharing is currently impeded by issues related to financial sustainability, equity, incentives, privacy and security, and data quality. Evidence-based policy options to facilitate data sharing in these domains, and ultimately improve interpretation of cancer-associated genomic variants, are therefore needed. We conducted a modified policy Delphi with expert stakeholders that involved generating, evaluating, and ranking potential policy options to address these issues, with a focus on the US context. We found policy options in the financial sustainability domain were highly ranked, particularly stable funding for trusted entities. However, some Delphi panelists noted that the culture of public research funding has favored short-term grants. Panelists favored policy options focused on action by funders, which had the highest overall total scores that combined effectiveness and feasibility ratings and priority ranking within domains. Panelists also endorsed some policy options connected to actors such as journals, but they were more skeptical of policy options connected to legislative actors and data resources. These findings are critical inputs for policy makers as they consider policies to enable sharing of cancer gene variant data to improve health.

Fresh takes on five health data sharing domains: Quality, privacy, equity, incentives, and sustainability.

As entities around the world invest in repositories and other infrastructure to facilitate health data sharing, scalable solutions to data sharing challenges are needed. We conducted semi-structured interviews with 24 experts to explore views on potential issues and policy options related to health data sharing. In this Perspective, we describe and contextualize unconventional insights shared by our interviewees relevant to issues in five domains: data quality, privacy, equity, incentives, and sustainability. These insights question a focus on granular quality metrics for gatekeeping; challenge enthusiasm for maximalist risk disclosure practices; call attention to power dynamics that potentially compromise the patient's voice; encourage faith in the sharing proclivities of new generations of scientists; and endorse accounting for personal disposition in the selection of long-term partners. We consider the merits of each insight with the broad goal of encouraging creative thinking to address data sharing challenges.

Pirate Talk: Navigating Practical, Ethical, and Legal Issues Associated with Biomedical Citizen Science Interview Studies.

In citizen science, in-depth interviews have advanced the understanding of project leaders' and citizen scientists' objectives, motivations, attitudes, and concerns. The issues encountered by researchers conducting in-depth interviews in citizen science are likely not unique to this field. However, these issues can surface and play out in distinct ways that depend on the scientific and sociopolitical circumstances of citizen science communities and projects. Researchers' experiences conducting in-depth interviews are the subject of a growing literature that describes considerations for conducting research with discrete populations. We aim to contribute to this literature by describing salient practical, ethical, and legal issues to consider when interviewing biomedical citizen scientists, with a focus on bottom-up biomedical citizen scientists who have loose or no affiliations with traditional scientific institutions. These issues concern how to define the interview population; earn trust and demonstrate trustworthiness given past treatment of bottom-up biomedical citizen scientists by traditional researchers and institutions; adapt research practices to the strong culture of openness that characterizes bottom-up biomedical citizen science; and manage potential safety concerns. This essay draws on our own experiences and those of other qualitative researchers and makes suggestions for addressing these issues in ways intended to protect study integrity and demonstrate respect for participants. We also identify questions that would benefit from broad input and continued study. Our objectives in sharing these lessons learned are to support future research and to improve understanding of this exciting participatory space.

An Ethics Framework for Evaluating Ownership Practices in Biomedical Citizen Science.

The collaborative nature of citizen science raises important questions about managing ownership of its research outputs. Potential citizen science research outputs include data sets, findings, publications, and discoveries of new ideas, methods, products, and technologies. Unlike citizen science projects conducted in other disciplines, biomedical citizen science projects often include features, such as contribution of personal health data, that might heighten citizen scientists' expectations that they will be able to access, control, or share in the benefits of project outputs. Here, we refer to moral claims of access, control, and benefit as ownership claims, and a project's management of ownership claims as its ownership practices. Ethical management of ownership is widely recognized as an important consideration for citizen science projects, and practitioners and scholars have described helpful recommendations for preempting issues and engaging stakeholders on practices. Building on this literature, we propose a framework to help biomedical citizen science projects systematically evaluate the ethical soundness of their ownership practices based on four considerations: reciprocal treatment, relative treatment, risk-benefit assessment, and reasonable expectations.

Core values of genomic citizen science: results from a qualitative interview study.

Genomic citizen science initiatives that promote public involvement in the study or manipulation of genetic information are flourishing. These initiatives are diverse and range from data donation studies, to biological experimentation conducted in home and community laboratories, to self-experimentation. Understanding the values that citizen scientists associate with their activities and communities can be useful to policy development for citizen science. Here, we report values-relevant data from qualitative interviews with 38 stakeholders in genomic citizen science. Applying a theoretical framework that describes values as transcendent beliefs about desirable end states or behaviors that can be categorized according to the motivational goals that they express and the interests they serve, we identified nine core values of genomic citizen science: altruism, autonomy, fun, inclusivity, openness, reciprocity, respect, safety, and solidarity.